803 Data Mining Jobs - Page 4

About us Bain & Company is a global management consulting that helps the worlds most ambitious change makers define the future Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry, In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies BCN is an integral and largest unit of (ECD) Expert Client Delivery ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property The BCN comprises of Consulting Services, Knowledge Services and Shared Services, Who you will work with Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools We also offer custom data and analytics projects to suit our clientsneeds Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs Refer to: pyxisbybain, What youll do Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams, This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation, Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time Assist with research of secondary information to validate data trends Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxisvast array of alternative data sources and supplemental datasets Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods About you 3+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelors in mathematics, engineering, science, statistics or technical degree Expertise working with large data sets and proficiency in SQL, Excel Experience in Python Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Excellent verbal, written, and data visualization skills Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc ) Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus Experience with Git and modern software development workflow is a plus Agile way of working and tools (Jira, Confluence, Miro) What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years We believe that diversity, inclusion and collaboration is key to building extraordinary teams We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents,

As an Senior Automation Analyst, you will have the unique opportunity to influence and drive decisions with an advanced logical mindset, process oriented and a background in leveraging technologies to drive results. Provides primary support for assigned systems and applications. Works independently with limited support. Prior Experience in Healthcare domain will be an added advantage. Excellent interpersonal & competent analytical skills. Strong team player attitude to deliver necessary requirements on time and ability to work through obstacles under challenging circumstances. Should be able to work in shifts as required by the project. Be self-motivated and eager to engage in high impact, challenging engineering problems while continuously raising the standard of quality in our products and services. Willing to adapt new technologies and skills in automation. Key Responsibilities: Analyzes the business processes and assessing the automation potentials. Expertise in end-to-end development of bots and implementing the full life cycle of process automation solutions: identify automation opportunities, designing solutions, develop, test, & deploy using RPA, Chatbot, IDP, Test automation and etc... Expertise in designing and implementing intelligent automation solution using Machine Learning, Deep Learning, Python etc. Ability to build reusable components which can be shared and used across different projects to save efforts. Responsibilities to set a strategic direction for automation and managing day-to-day operations, establish high performing service delivery organization. Collaborates with others on the project to brainstorm and finding efficient ways to tackle technical, infrastructure, security, or development problem. Plans and accompanies the smooth transition from project to stable operations from a technical perspective, Demonstrate technical leadership with incident handling and troubleshooting. Ensures adequate technical project documentation. Develops automation portfolio gathering requirements from the functions / cross-functions. Actively manages and monitors the overall project schedule and milestones. Coordinates tasks and communication both within and outside of the project team, ensuring communication with all relevant stakeholders. Pro-actively assesses and mitigates project risks. Ability to familiarize himself / herself independently with entirely new subjects and thus provide comprehensive and innovative solutions. Minimum Qualifications: Minimum of 6+years of experience working with UiPath. Minimum 6 years of Experience with automation technologies like UiPath's RPA, Automation Hub, Process Mining, Insights, Document Understanding, AI Center, Action Center, RASA framework, AI/ML,NLP, Microsoft's Powerautomate and etc. Experience in UiPath's test automation solutions. Experience of development in agile methodology and following best practices. Experience in Project tracking and Defect Management tools such as JIRA, HP ALM and etc. Experience in one of the standard scripting languages such as Python,.NET, PL/SQL and etc. Experience in managing and maintaining applications hosted on cloud. Debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve problems. Working knowledge of information security and best practices. Service Delivery Management mindset. Minimum of Bachelors degree or similar degree applicable experience within information systems. Excellent written and verbal communications skills. Preferred Qualifications: Experience in building dashboards and aggregating metrics. Experience building GenAI & RAG solution using Azure OpenAI. Flexibility to adopt to new technologies and drive initiatives to integrate these technologies with existing platform/technologies available. Exposure to working with RASA or other chatbot technologies. Exposure to large-scale systems and application architectures. Experience in creating and managing technical documents. Experience in GxP process will be an added advantage. Linux and Windows scripting (BASH and Powershell). Working knowledge of Network Topology and communications protocols e.g. TCP/IP, Telnet, SMTP, FTP. General DevOps automation, build, deployment, configuration of multiple environments.

Building models using best inclass ML technology. Training/fine tuning modelswith new/modified training dataset. Selecting features, buildingand optimizing classifiers using machine learning techniques Data mining usingstate-of-the-art methods Processing, cleansing, andverifying the integrity of data used for analysis Enhancing data collectionprocedures to include information that is relevant for building analyticsystems Technical skills Mandatory 3 to 8 years of experience as MachineLearning Researcher or Data Scientist Graduate in Engineering,Technology along with good business skills Good applied statistics skills,such as distributions, statistical testing, regression, etc. Excellent understanding ofmachine learning techniques and algorithms including knowledge about LLM Experience with NLP. Good scripting and programmingskills in Python Basic understanding of NoSQLdatabases, such as MongoDB, Cassandra Nice to have Exposure to financial researchdomain Experience with JIRA,Confluence Understanding of scrum andAgile methodologies Experience with datavisualization tools, such as Grafana, GGplot, etc. Soft skills Oral and written communicationskills Good problem solving andnegotiation skills Passion, curiosity andattention to detail

Industry: General Insurance Role Lead Data Scientist Years of Experience 8+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions. Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Recruit, train, develop and supervise Junior level employees. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 8+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Only apply if you are matching with above Criteria Work From Office First and last Saturday will be working 60 and 90 Days Notice periods Please don't apply. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com 7302239534

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: (WFO) Bestech Towers (Sector 66-Mohali) Position: Data Analyst Experience: 1-3 years Why to Join ALARIC VENTURES • Known as career builders and paymasters. • Best and unbeatable benefits for the employees. • Effective career and financial progression system. • Most organic and friendly work environment. • Plethora of success and growth stories. Position Overview: We are seeking a Data Analyst specializing in data mining and research to support our AI services business. The ideal candidate will focus on identifying potential clients in the US and India with a turnover exceeding $250 million. Using advanced tools and techniques, they will extract critical contact information, such as direct phone numbers and email IDs of key decision- makers like CXOs, to enable outreach and business growth Required skills: • Conduct research on companies with a turnover of $250M+ in the US and India. • Focus on companies selling or investing in AI services. • Extract accurate contact information, including direct phone numbers and email addresses of CXOs and other key decision-makers. • Use tools like Sales Navigator, ZoomInfo, Lusha, Google, and others for prospecting and lead enrichment. • Identify companies that align with the parameters and criteria provided by the organization. • Ensure high accuracy and relevance of data by cross-verifying details. • Maintain detailed records and create organized databases for internal teams. • Generate reports on lead generation progress and research findings. • Analyze trends and opportunities in the AI services market for potential client targeting. • Identify emerging sectors and industries with significant AI adoption potential. • Work closely with the sales and pre-sales teams to align data mining efforts with outreach strategies. Share insights and trends that may impact targeting or sales approaches. Key Skills & Tools • Strong skills in researching and extracting information from multiple sources. • Familiarity with AI industry trends and major players. • Hands-on experience with Sales Navigator, ZoomInfo, Lusha, Google Advanced Search, and similar platforms. • Basic understanding of CRM systems (e.g., Salesforce, HubSpot). • Ability to analyze companies based on financial data, turnover, and business focus. • Attention to detail to ensure data accuracy. • Excellent written and verbal communication skills for internal reporting. • Ability to present findings clearly and concisely. Preferred Attributes • Experience in working with US-based or global clients. • Understanding of AI services and their application across industries. • Self-motivated and results-driven with a strong sense of accountability. Compensation and Benefits • Salary: Open to negotiation based on experience and expertise. • Performance-based bonuses. • Opportunities for skill enhancement and career growth. • Flexible work environment. Education and/or Experience: • Any bachelors degree • 1-3 years of relevant experience Client Service: • Provide outstanding client service, responding promptly and professionally across communication channels. • Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: • Rotational shifts (24*7) • 5 Days working in a week Benefits and compensation: • Group Health insurance • Best work culture and opportunities for professional growth. • Learning opportunities in leading technologies • Compensation as per Market Standard • Training and development programs. Application Process • If you are a detail-oriented data analyst passionate about research and data mining, we want to hear from you. Please submit your resume and a cover letter showing your experience and expertise on M-9915101769

DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: (WFO) Bestech Towers (Sector 66-Mohali) Position: Data Analyst Experience: 1-3 years Why to Join ALARIC VENTURES • Known as career builders and paymasters. • Best and unbeatable benefits for the employees. • Effective career and financial progression system. • Most organic and friendly work environment. • Plethora of success and growth stories. Position Overview: We are seeking a Data Analyst specializing in data mining and research to support our AI services business. The ideal candidate will focus on identifying potential clients in the US and India with a turnover exceeding $250 million. Using advanced tools and techniques, they will extract critical contact information, such as direct phone numbers and email IDs of key decision- makers like CXOs, to enable outreach and business growth Required skills: • Conduct research on companies with a turnover of $250M+ in the US and India. • Focus on companies selling or investing in AI services. • Extract accurate contact information, including direct phone numbers and email addresses of CXOs and other key decision-makers. • Use tools like Sales Navigator, ZoomInfo, Lusha, Google, and others for prospecting and lead enrichment. • Identify companies that align with the parameters and criteria provided by the organization. • Ensure high accuracy and relevance of data by cross-verifying details. • Maintain detailed records and create organized databases for internal teams. • Generate reports on lead generation progress and research findings. • Analyze trends and opportunities in the AI services market for potential client targeting. • Identify emerging sectors and industries with significant AI adoption potential. • Work closely with the sales and pre-sales teams to align data mining efforts with outreach strategies. Share insights and trends that may impact targeting or sales approaches. Key Skills & Tools • Strong skills in researching and extracting information from multiple sources. • Familiarity with AI industry trends and major players. • Hands-on experience with Sales Navigator, ZoomInfo, Lusha, Google Advanced Search, and similar platforms. • Basic understanding of CRM systems (e.g., Salesforce, HubSpot). • Ability to analyze companies based on financial data, turnover, and business focus. • Attention to detail to ensure data accuracy. • Excellent written and verbal communication skills for internal reporting. • Ability to present findings clearly and concisely. Preferred Attributes • Experience in working with US-based or global clients. • Understanding of AI services and their application across industries. • Self-motivated and results-driven with a strong sense of accountability. Compensation and Benefits • Salary: Open to negotiation based on experience and expertise. • Performance-based bonuses. • Opportunities for skill enhancement and career growth. • Flexible work environment. Education and/or Experience: • Any bachelors degree • 1-3 years of relevant experience Client Service: • Provide outstanding client service, responding promptly and professionally across communication channels. • Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Shift timing and working hours: • Rotational shifts (24*7) • 5 Days working in a week Benefits and compensation: • Group Health insurance • Best work culture and opportunities for professional growth. • Learning opportunities in leading technologies • Compensation as per Market Standard • Training and development programs. Application Process • If you are a detail-oriented data analyst passionate about research and data mining, we want to hear from you. Please submit your resume and a cover letter showing your experience and expertise on M-9915101769

About The Role Wholesale Banking Team Member- Corporate Salary Grade M5 Job Role Coverage meeting - tracking of meetings at all levels along with senior team pan Kotak Monitor 50 top corporates every quarter and monitor monthly conversionsin WBG segment and another 25 accounts inSME Targeting 5 top groups with a potential to give 10,000 accounts each Categorisation of companies/ leads regularly and pursue the hot leads Timely actionables on key asks for each corporatehelp in customisation of product offering along with each business vertical Ensure regular review fortnightly for each business and follow up on actionables Monitoring, formulating strategy for high value CFO and CXO etc. Driving salary team for closures Monitoring RM level KRA - Scorecard for each RM across various business divisions monthly release Monitoring engagement activities done for various companies Data mining thru analytics and pushing low penetrated companies RM incentivisation activities Ensure every structured transaction and large value deals - salary is mandated

Department: Finance / Revenue Assurance Summary: We are seeking a highy motivated and detai-oriented Junior Manager or Assistant Manager to join our Revenue Assurance team. The idea candidate wi be responsibe for ensuring the accuracy and competeness of our revenue streams through meticuous data handing, reconciiation processes, and the impementation of robust contros. This roe requires a strong anaytica mindset, a deep understanding of revenue assurance principes and standards, and proficiency in data manipuation and reporting toos. Responsibiities: Hande and process arge voumes of data records for enrichment, fitering, and modification using various toos and a strong understanding of Revenue Assurance principes and perform reguar reconciiations to identify and resove an in-depth understanding of reevant revenue assurance standards and ensure adherence across the to the design and execution of Revenue Assurance contros and Key Performance Indicators (KPIs) to monitor and improve revenue and generate insightfu reports through data mining and anaytics to identify trends, anomaies, and potentia revenue strong anaytica skis and a keen understanding of the revenue assurance domain to investigate and resove revenue-reated understanding of the SAP FI modue for data extraction and anaysis reated to strong hands-on proficiency in Microsoft Exce, Access, and SQL for data manipuation, anaysis, and with cross-functiona teams (e.g., Product, Engineering, Operations) to impement process improvements and address revenue assurance in the deveopment and documentation of revenue assurance poicies and to ad-hoc projects and initiatives reated to revenue optimization and risk mitigation. Quaifications and Experience: Bacheor's degree in Finance, Accounting, Business Administration, or a reated 2 years of experience in a Revenue Assurance, Finance, or Audit experience in handing arge amounts of data records for enrichment, fitering, and modification using reevant understanding of Revenue Assurance principes and reconciiation in-depth understanding of revenue assurance standards and best in understanding and contributing to the design and execution of RA contros and experience in reporting, data mining, and anaytical and probem-soving skis with significant exposure to the revenue assurance understanding of the SAP FI modue and its appication in revenue-reated hands-on skis in Microsoft Exce (incuding advanced formuas, pivot tabes, etc.), MS Access, and communication and interpersona skis to effectivey coaborate with various to work independenty and as part of a team in a fast-paced 1 environment.

UnitedHealth care is part of the family of companies that make Optum, part of the UnitedHealth Group family of businesses one of the leaders across most major segments of the US health care system. When you work with Optum, part of the UnitedHealth Group family of businesses, what you do matters. Its that simpleand its that challenging. In providing consumer-oriented health benefit plans to millions of people; our goal is to create higher quality care, lower costs and greater access to health care. Join us and you will be empowered to achieve new levels of excellence and make a profound and personal impact as you contribute to new innovations in a vital and complex system. This is an Associate Project Manager role within the Financial Data Managements FP3 (Finance Programs, Projects, & Products) Team. This position will provide critical General Ledger configuration responsibilities, perform user acceptance testing, act as an intermediary between accounting and technical teams, and support FTS technical enhancement functions for UHC Finances Medicare business (M&R). This includes general ledger accounting, financial controls and reporting, and financial data repositories and sub-ledgers. This role will require solid analytical skills, customer focus, communication, problem-solving, and organizational skills to ensure the successful management of FTS rule updates. The candidate will provide subject matter expertise for financial applications, input into project solutions, collaborate with stakeholders to gather and document business rule configuration requirements, and take a lead role in user acceptance test planning and execution. The primary focus of this role will be project support and operational maintenance of complex FTS tables and rules related to our Medicare financial reporting. Primary Responsibilities: Demonstrates extensive knowledge of GL and sub-GL data sources, and how the information is recorded (e.g., chart of accounts, revenues, expenses, claim costs, etc.) Exhibits critical thinking and intellectual curiosity with the ability to resolve issues and questions Provides analysis and dissemination of complex concepts Understands complex financial and IT concepts Works independently, as well as collaborates with various teams throughout UHC and Optum Internalizes, interprets, and documents complex scenarios clearly and concisely Executes and facilitates user acceptance testing efforts and defect resolution Defines GL derivation rules for financial transactions Determines the scope of business testing based on a financial risk assessment Supports business process and automation enhancements Collaborates with business partners to develop test documentation, requirements, and timelines Provides test status updates as required by program directives Facilitates and organizes end-user training Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Accounting or equivalent courses 5+ years of experience in Finance and Accounting Knowledge of accounting practices and general ledger reporting Solid knowledge and experience with user acceptance testing processes Working knowledge of data mining/reporting tools such as SAS/SAS Enterprise Guide and/or SQL Intermediate proficiency in MS Excel, Access, and MS Word Proven solid written and oral communication skills Proven solid time management, prioritization, and organizational skills Demonstrated solid financial acumen Demonstrated solid data analysis skills Preferred Qualifications: Experience in the healthcare industry Knowledge of UHC general ledger strings Exposure to PeopleSoft At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

At Cotality, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: In India, we operate as Next Gear India Private Limited, a fully-owned subsidiary of Cotality with offices in Kolkata, West Bengal, and Noida, Uttar Pradesh. Next Gear India Private Limited plays a vital role in Cotalitys Product Development capabilities, focusing on creating and delivering innovative solutions for the Property Casualty (PC) Insurance and Property Restoration industries. While Next Gear India Private Limited operates under its own registered name in India, we are seamlessly integrated into the Cotality family, sharing the same commitment to innovation, quality, and client success. When you join Next Gear India Private Limited, you become part of the global Cotality team. Together, we shape the future of property insights and analytics, contributing to a smarter and more resilient property ecosystem through cutting-edge technology and insights. Company Description At CoreLogic, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills, and directly impact the insurance marketplace. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property insurance and restoration industry. Description We are seeking a highly skilled Lead Data Analyst to join our Analytics team to serve customers across the property insurance and restoration industries. As a Lead Data Analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future. Responsibilities Collaborate with cross-functional teams to understand and document requirements for analytics products. Serve as the primary point of contact for new data/analytics requests and support for customers. Lead a team of analysts to deliver client deliverables on a timely manner. Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process. Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers. Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables. Create and manage tickets on behalf of customers within internal frameworks. Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables. Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security. Create and optimize complex SQL queries for data extraction, transformation, and aggregation. Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics. Conduct validation checks and implement error handling mechanisms to ensure data reliability. Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations. Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner Job Qualifications: 7+ years property insurance experience preferred 5+ years experience in management of mid-level professional teams or similar leadership position with a focus on data and/or performance management. Extensive experience in applying and/or developing performance management metrics for claims organizations. Bachelor s degree in computer science, data science, statistics, or a related field is preferred. Mastery level knowledge of data analysis tools such as Excel, Tableau or Power BI. Demonstrated expertise in Power BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. Expert knowledge of Power Query for importing, transforming, and shaping data. Proficiency in SQL with the ability to write complex queries and optimize performance. Strong knowledge of ETL processes, data pipeline and automation a plus. Proficiency in managing tasks with Jira is an advantage. Strong analytical and problem-solving skills. Excellent attention to detail and the ability to work with large datasets. Effective communication skills, both written and verbal. Excellent visual communications and storytelling with data skills. Ability to work independently and collaborate in a team environment. Cotalitys Diversity Commitment: Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Equal Opportunity Employer Statement: Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. Please apply on our website for consideration. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! 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Senior Analyst, Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Senior Analyst on our Data Science Team in Bangalore and Gurgaon. What you ll achieve Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data You will: Interact with business stakeholders, product managers, software engineers, data engineers, and data analysts to create data science products Write SQL queries, python scripts to clean, wrangle data from multiple sources making them model ready Use techniques which includes (but not limited to) Natural Language Processing, Machine Learning, Gen AI, Data Pipelining to build scalable models Build Data Pipelines & platform to operationalize the models at scale Become a subject matter expert of the data to create and refine features for modeling Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements Requires 2 + years of related experience in a professional role with a bachelor s degree; or 1 + years with a master s degree. Solid programming skills to retrieve, analyze and process data, and build machine learning models from the ground up (Python/R) Data Science Platforms like Domino Data Lab, Apache Airflow, AWS, and Google Cloud (working environment to build and deploy models) Machine Learning techniques like Ranking, Classification, Clustering, Regression and Topic Modeling , Deep learning, Neural networks and GEN AI Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP, or related field Application closing date: 17th July 2025

All Rights Reserved With ALARIC VENTURES - Bestech Business Towers, Sector 66, S.A.S Nagar, Mohali, CHANDIGARH DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: Bestech Business Towers (Sector 66-Mohali) Positions: Inside Sales Representative Experience: Minimum 1 year Why to Join ALARIC VENTURES Known as career builders and paymasters. Best and unbeatable benefits for the employees. Effective career and financial progression system. Most organic and friendly work environment. Plethora of success and growth stories. Position Overview: We are looking for a highly motivated and results driven Inside Sales Representative to join our team and play a key role in generating leads and building a strong sales pipeline. The ideal candidate will identify potential customers, initiate conversations, qualify prospects, and schedule appointments for the sales team. You will work closely with marketing and sales teams to meet business growth objectives and contribute to the company's success. Key Responsibilities: Lead Generation: Research and identify potential clients using online tools, databases, and other resources. Generate qualified leads through outbound calls, emails, and social media outreach. Build and maintain a strong pipeline of potential customers. Prospecting and Outreach: Initiate contact with decision-makers, influencers, and key stakeholders. Conduct effective discovery calls to understand client needs and qualify them based on predefined criteria. Engage prospects through personalized communication and tailored messaging. Appointment Setting: Schedule appointments or demos for the sales team with high-potential leads. Collaborate with account executives to ensure a smooth handoff of qualified leads. CRM Management: Maintain accurate and up-to-date records of all activities, interactions, and opportunities in the CRM system. Track and report key metrics, including lead conversion rates and pipeline growth. Collaboration: Provide feedback on market trends and customer needs to help improve products or services. Target Achievement: Meet or exceed monthly and quarterly lead generation and pipeline development targets. Continuously improve lead qualification processes to enhance the overall sales funnel. Required Skills and Qualifications Experience: 1+ years of proven experience in inside sales, lead generation, or telemarketing. Experience in B2B sales or working with AI based products, SaaS, IT, or staffing companies is a plus. Technical Skills: Proficiency in CRM tools like Salesforce, HubSpot, or Zoho. Strong knowledge of email marketing tools and lead generation platforms (e.g., LinkedIn Sales Navigator). Sales and Communication: Exceptional verbal and written communication skills with a professional demeanor. Ability to handle objections and engage prospects effectively over the phone and email. Persuasive and consultative selling skills to build trust with potential clients. Soft Skills: Highly self-motivated, with a strong sense of accountability and time management. Resilient and adaptable in a fast-paced, target-driven environment. Strong research and analytical skills to understand prospects and their industries. Preferred Qualifications: Bachelors degree in Business Administration, Marketing, or a related field. Familiarity with lead generation strategies for AI based products, IT staffing, SaaS, or managed services industries. Exposure to cold calling and email outreach best practices. Client Service: Provide outstanding client service, responding promptly and professionally across communication channels. Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Work Conditions: Ability to work in work from office environment. Flexibility to align with time zones of target markets (e.g., US, UK, or APAC). Benefits and compensation: Group Health insurance and other benefits. The Best working culture and opportunities for professional growth. Learning opportunities in leading technologies Compensation as per Market Standard Training and development programs.

All Rights Reserved With ALARIC VENTURES - Bestech Business Towers, Sector 66, S.A.S Nagar, Mohali, CHANDIGARH DETAILED JOB DESCRIPTION Organization: Alaric Ventures Location: Bestech Business Towers (Sector 66-Mohali) Positions: Inside Sales Representative Experience: Minimum 1 year Why to Join ALARIC VENTURES Known as career builders and paymasters. Best and unbeatable benefits for the employees. Effective career and financial progression system. Most organic and friendly work environment. Plethora of success and growth stories. Position Overview: We are looking for a highly motivated and results driven Inside Sales Representative to join our team and play a key role in generating leads and building a strong sales pipeline. The ideal candidate will identify potential customers, initiate conversations, qualify prospects, and schedule appointments for the sales team. You will work closely with marketing and sales teams to meet business growth objectives and contribute to the company's success. Key Responsibilities: Lead Generation: Research and identify potential clients using online tools, databases, and other resources. Generate qualified leads through outbound calls, emails, and social media outreach. Build and maintain a strong pipeline of potential customers. Prospecting and Outreach: Initiate contact with decision-makers, influencers, and key stakeholders. Conduct effective discovery calls to understand client needs and qualify them based on predefined criteria. Engage prospects through personalized communication and tailored messaging. Appointment Setting: Schedule appointments or demos for the sales team with high-potential leads. Collaborate with account executives to ensure a smooth handoff of qualified leads. CRM Management: Maintain accurate and up-to-date records of all activities, interactions, and opportunities in the CRM system. Track and report key metrics, including lead conversion rates and pipeline growth. Collaboration: Provide feedback on market trends and customer needs to help improve products or services. Target Achievement: Meet or exceed monthly and quarterly lead generation and pipeline development targets. Continuously improve lead qualification processes to enhance the overall sales funnel. Required Skills and Qualifications Experience: 1+ years of proven experience in inside sales, lead generation, or telemarketing. Experience in B2B sales or working with AI based products, SaaS, IT, or staffing companies is a plus. Technical Skills: Proficiency in CRM tools like Salesforce, HubSpot, or Zoho. Strong knowledge of email marketing tools and lead generation platforms (e.g., LinkedIn Sales Navigator). Sales and Communication: Exceptional verbal and written communication skills with a professional demeanor. Ability to handle objections and engage prospects effectively over the phone and email. Persuasive and consultative selling skills to build trust with potential clients. Soft Skills: Highly self-motivated, with a strong sense of accountability and time management. Resilient and adaptable in a fast-paced, target-driven environment. Strong research and analytical skills to understand prospects and their industries. Preferred Qualifications: Bachelors degree in Business Administration, Marketing, or a related field. Familiarity with lead generation strategies for AI based products, IT staffing, SaaS, or managed services industries. Exposure to cold calling and email outreach best practices. Client Service: Provide outstanding client service, responding promptly and professionally across communication channels. Cultivate and maintain long-term client relationships, emphasizing exceptional service and understanding of client needs. Work Conditions: Ability to work in work from office environment. Flexibility to align with time zones of target markets (e.g., US, UK, or APAC). Benefits and compensation: Group Health insurance and other benefits. The Best working culture and opportunities for professional growth. Learning opportunities in leading technologies Compensation as per Market Standard Training and development programs.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Generative AI System Design: Architect and implement advanced generative AI models, focusing on applications such as image and text generation, content creation, and synthetic data generation. Model Development and Optimization: Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives. AI/ML Integration: Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Cross-functional Collaboration: Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives. Innovation Leadership: Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Ethical AI Implementation: Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements Your Profile Education & Experience: bachelors or masters degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Technical Skills: Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch. Experience with Azure OpenAI, Open Source LLMs, and LangChain. Data Science Expertise: Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Techniques/Approaches: Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Domain Knowledge: Familiarity with NLP or computer vision related to generative AI applications. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

1. Role: ML Engineer Must have: 4+ years of experience Strong Understanding in statistics. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Tree text mining, ensemble techniques etc. Strong skills in software prototyping and engineering with expertise in Python is required. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Knowledge in understanding the Time-series, data pattern & Product data from the Manufacturing Process. Qualification & Skills: Preferred Degree in Mechanical Engineering, Computer Science, ECE, Statistics, Applied Math or related field. 4+ years of practical experience with ML Projects, data processing, database programming and data analytics Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation. Excellent pattern recognition, predictive modelling skills Experience with Business Intelligence Tools like Power BI is an asset.

Role & responsibilities Well versed with US GAAP and general accounting concepts Ability to visualize completeness of data from the raw data available in legacy systems Deep Understanding of Open Balances, Open AR/AP bills, bank reconciliations, Regular Accounting and bookkeeping in general and Intacct in particular will be desirable Expertise in creating Excel pivot tables, slicing and dicing of data , conditional formatting -tools that help to transform unstructured data into structured form suitable for upload to Intacct Conceptual clarity on Depreciation, Retained Earnings, Fiscal/accounting /Previous/Current Year etc. Thorough knowledge of Trial Balances and the ability to extract current period activity across two consecutive periods Shift Timing- 11:00 AM to 8:30 PM (Monday to Friday)

(Only Candidates having Business Development Experience from IT Sales & Services/ Market Research/ Telecom Sales apply for this role) Manager - Business Excellence Location: Remote Experience: 4+ years in Market Research, IT Sales, or Telecom Role & responsibilities Sales & Business Development Drive lead generation, appointment setting, and sales strategies for international markets Identify and forge strategic alliances with enterprise clients, telecom operators, and technology partners Manage high-value negotiations and build long-term partnerships with C-level executives and decision-makers Strategic Leadership Develop and execute innovative business strategies to drive revenue growth and market expansion Spearhead go-to-market (GTM) strategies, ensuring strong alignment with business goals Continuously monitor market trends, competitive landscapes, and emerging opportunities to drive innovation Operational Excellence Optimize and oversee end-to-end sales operations, ensuring seamless execution and client satisfaction Implement new systems, data-driven sales analytics, and automation tools to maximize efficiency Build, lead, and train high-performing teams, fostering a culture of growth, collaboration, and accountability Technical & Communication Skills Proficiency in CRM tools, lead generation platforms, and sales automation Excellent communication, negotiation, and presentation skills Strong analytical skills to interpret data and make business-driven decisions Interested candidates may share their resume on priyadarshini@smart-bridge.net

We are seeking a dynamic and detail-oriented Business Analyst to support the successful delivery of digital tool rollouts across the organization. The ideal candidate will be a strong organizer and communicator, capable of coordinating activities between business users, Digital and IT team, and communications teams to enable smooth and effective digital rollouts. Creates and provides strategic business intelligence by identifying, capturing and analyzing data and generating insights from it. Responsibilities: Coordinate activities that support the rollout and adoption of digital tools and platforms such as communications, training etc Monitor progress of adoption-related deliverables and escalate risks, blockers, or delays to the appropriate leads. Support internal communication efforts such as creation of AI-videos/presentation decks for providing overall digital updates. Assist in gathering feedback from pilot or early users and ensure it is routed to the right teams for follow-up. Perform data analysis to track key metrics, identify trends, and support reporting on digital tool usage and benefits. Support the creation and tracking of digital adoption metrics for the entire portfolio. Owns responsibility for obtaining and analyzing information in order to assist in creating more effective targeted programs, campaigns, and services that satisfy the needs and expectations of business leadership. Reviews data from various sources and translates this data into usable information for management through analysis of targeted sales and-or other internal-external data. Identifies external data sources and performs data mining of market information regarding current and potential key suppliers and customers, in support of opportunities for TD SYNNEX business growth including information regarding investments and ROI. Responds to specific requests for internal business intelligence information including profit leaks ensuring content and deliverables are executed in a timely fashion. Compiles data obtained into a useable database and creates presentations which capture business intelligence information in an effective summary form. Presents information projections, plans, updates, etc to senior leadership on a regular basis. Prioritizes work projects and establishes resource plan and schedule of timelines for execution. Knowledge, Skills and Experience: 5+ years of experience in a business analysis or marketing role. Understanding of digital adoption, transformation, or systems rollout processes. Understanding of digital marketing principles such as campaign planning, content creation, and channel engagement. Strong analytical skills and demonstrated knowledge and appropriate application of statistical rigor in performing analysis of information. Demonstrates strong technical knowledge of reporting tools, database concepts and designs. Demonstrates effective oral and written and presentation communication skills across all levels of the organization with emphasis on effective deliver in communicating with senior leadership. Demonstrates effective project management skills and independent skills Demonstrates the ability to establish and maintain an effective communication network with individuals internal and external to the business outside span of control which may have direct bearing on operational analysis efficiency and effectiveness. Influencing Skills This position requires the consistent demonstration of high-performance levels of technical, relationship and presentation skills on a regular basis. Key Skills Analytical Skills, Business, Business Analysis, Business Intelligence (BI), Change Adoption, Change Management, Content Creation, Content Development, Digital Marketing, Marketing, Professional Presentation, Project Management, Training What s In It For You Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal we'll-Being: Boost your financial, physical, and mental we'll-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Drive Strategic Growth & Revenue Defining the vision and roadmap to transform data as a key asset to power business growth. Modernize Data Management Ongoing data management, data discovery and collaboration across Global Commercial Services Ensure Health of the Commercial Business Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future Purpose of the Role This role would be focused on solutioning for GCS Data governance, Data Quality (DQ), and managing DQ Issues. This would involve partnering with stakeholders/GCS teams to gather requirements; performing Root Cause Analysis via data mining and analysis, identifying process gaps or monitoring existing solutions; proposing and presenting the possible solutions to the leaders/stakeholders and if required, working with technology for development of scalable Data Quality solutions. Responsibilities Accountable for the necessary remediation of data quality Issues originating from business processes and accountable for notifying key stakeholders on remediation activities Ensure data quality Issues are captured, managed, and have a plan for remediation that is thorough, complete, and timely to ensure a comprehensive fix is completed. Writing and executing SQL and python scripts to analyze/profile data and solution for data quality issues in a big data environment and propose robust data quality controls. Knowledge of business data and systems that your domain/business unit produce and consume. Participate in project meetings and communicate effectively with leaders, peers, architects, system analysts, project managers & others, reporting project status as required. Utilize data quality and data profiling tools to solution for DQ framework/issue. Understand, gather, and translate project/user requirements into we'll-defined features/user stories with testable acceptance criteria, via collaboration with multiple stakeholders on requirements and prioritization Work closely with the technology team to develop, test and deliver the defined deliverables. Perform Unit Acceptance Testing (UAT) before accepting the stories. Raise if any bugs/gaps are identified and get that fixed with technology team. Provide proactive solutioning to any sprint blockers. Understanding of data management concepts and practices such as data security, data quality, meta data. Responsible for building scalable data Quality frameworks for enterprise projects. Minimum Qualifications: Business Outcomes: Deliver high quality & accurate Data Quality solutioning within deadlines. Understanding the gaps and remediating the same as per business requirements. Accountable for the Agile delivery framework. Tracking progress and sharing project updates to ensure stakeholder satisfaction. Academic Background & Past Experience MBA or Bachelor/Advanced degree in science, computer science, information technology, information management 2-5 years of relevant experience as product/business analyst Functional Skills/Capabilities Strong stakeholder management and excellent written & verbal communication. Experience in requirement gathering, product management, backlog creation, project tracking and comprehensive documentation. Experience with Agile Scum process and principles and actively leading Agile ceremonies (Scrum, Grooming, Retrospective) Ability to multi-task with high precision & quality delivery. Ability to independently drive, track and ensure accurate delivery. Technical Skills/Capabilities Strong SQL/Python and MS Excel- data querying and analysis. JIRA for User Stories and Agile Scrum Management. Confluence, MS Word & PowerPoint for documentation. MS Excel knowledge and SQL/Hive for data analysis. ML experience a plus but not compulsory. Understanding of Data Governance, Data Quality, Data lineage, and Data Transformation is a plus. Preferred Qualifications: A good balance of technical knowledge and business acumen. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Mandatory Qualifications: Bachelors/masters degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 1-3 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organisations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Working Knowledge of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

We are looking for a Sr. Business Intelligence Engineer in the Amazon Grocery Data and Tech. As a Sr. Business Intelligence Engineer, you will be responsible for execution of rapidly evolving complex demands and own the product roadmap, design, development, testing, deployment and operations of multiple analytical solutions. As a Sr. BIE, you will mentor business intelligence engineers and provide leadership on complex technical, business and operational problems. You will be responsible for delivering some of our most strategic analytics initiatives. You will create insights that support all of Amazon s grocery businesses and have a significant impact on Amazon s top-line and competitive position. A successful candidate will bring deep technical expertise, strong business acumen and judgment, ability to define ground breaking products, desire to have an industry wide impact and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact. They will define metrics to measure business performance and drive efficiency improvements. About the team Amazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery, consisting of engineering teams (BIEs/DEs/SDEs). We are the direct owner of (a) Infrastructure and services used for reading, processing, reporting and enrichment of grocery data; (b) Productivity tools; (c) Reporting solutions for worldwide 1P and 3P customers across the following businesses: Amazon Fresh Grocery (AFG), Whole Foods Market (WFM), Amazon Go, Amazon Grocery Partners, etc. 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership

Job Purpose: We are seeking a dynamic and detail-oriented Business Analyst to support the successful delivery of digital tool rollouts across the organization. The ideal candidate will be a strong organizer and communicator, capable of coordinating activities between business users, Digital and IT team, and communications teams to enable smooth and effective digital rollouts. Creates and provides strategic business intelligence by identifying, capturing and analyzing data and generating insights from it. Responsibilities: Coordinate activities that support the rollout and adoption of digital tools and platforms such as communications, training etc. Monitor progress of adoption-related deliverables and escalate risks, blockers, or delays to the appropriate leads. Support internal communication efforts such as creation of AI-videos/presentation decks for providing overall digital updates. Assist in gathering feedback from pilot or early users and ensure it is routed to the right teams for follow-up. Perform data analysis to track key metrics, identify trends, and support reporting on digital tool usage and benefits. Support the creation and tracking of digital adoption metrics for the entire portfolio. Owns responsibility for obtaining and analyzing information in order to assist in creating more effective targeted programs, campaigns, and services that satisfy the needs and expectations of business leadership. Reviews data from various sources and translates this data into usable information for management through analysis of targeted sales and-or other internal-external data. Identifies external data sources and performs data mining of market information regarding current and potential key suppliers and customers, in support of opportunities for TD SYNNEX business growth including information regarding investments and ROI. Responds to specific requests for internal business intelligence information including profit leaks ensuring content and deliverables are executed in a timely fashion. Compiles data obtained into a useable database and creates presentations which capture business intelligence information in an effective summary form. Presents information projections, plans, updates, etc. to senior leadership on a regular basis. Prioritizes work projects and establishes resource plan and schedule of timelines for execution. Knowledge, Skills and Experience: 5+ years of experience in a business analysis or marketing role. Understanding of digital adoption, transformation, or systems rollout processes. Understanding of digital marketing principles such as campaign planning, content creation, and channel engagement. Strong analytical skills and demonstrated knowledge and appropriate application of statistical rigor in performing analysis of information. Demonstrates strong technical knowledge of reporting tools, database concepts and designs. Demonstrates effective oral and written and presentation communication skills across all levels of the organization with emphasis on effective deliver in communicating with senior leadership. Demonstrates effective project management skills and independent skills Demonstrates the ability to establish and maintain an effective communication network with individuals internal and external to the business outside span of control which may have direct bearing on operational analysis efficiency and effectiveness. Influencing Skills This position requires the consistent demonstration of high-performance levels of technical, relationship and presentation skills on a regular basis. Key Skills Analytical Skills, Business, Business Analysis, Business Intelligence (BI), Change Adoption, Change Management, Content Creation, Content Development, Digital Marketing, Marketing, Professional Presentation, Project Management, Training What s In It For You Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don t meet every single requirementApply anyway. At Tech Data, a TD SYNNEX Company, we re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you re excited about working for our company and believe you re a good fit for this role, we encourage you to apply. You may be exactly the person we re looking for! We are an equal opportunity employer and committed to building a diverse team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment based on merit, without regard to race, colour, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for all candidates.

ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

Join our Voice Product Analytics team to elevate your career in data analytics and strategic thinking. As a Quant Analytics Associate Senior within the Data and Analytics team, you will leverage data analysis and strategic thinking to enhance customer journeys across voice and digital channels. You will collaborate with various teams to implement innovative strategies and analytics solutions that improve the customer experience. Job Responsibilities Support and lead partnerships with Ops stakeholders and Ops Product groups, understanding business drivers and data processes. Provide data and analytics leadership for demand mitigation programs across the servicing organization. Develop and report Ops performance metrics and KPIs using analytical tools like trend analysis and optimization. Analyze customer interactions across channels to understand journeys and friction points. Contribute to business cases, construct test designs, and analyze program performance for future strategies. Prepare and deliver presentations with insights and conclusions for executive meetings. Create dashboards and visualizations to measure product impact and provide self-service tools for key metrics. Required Qualifications, Capabilities, and Skills 5+ years of related experience. Experience with Agile methodologies (Scrum or Kanban). Proficiency in data analytics tools (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta). Experience in coding and automating processes for data sourcing and analysis. Effective communication and presentation skills for collaboration with senior leaders. Preferred Qualifications, Capabilities, and Skills Familiarity with AWS, data mining, statistical modeling, machine learning, and advanced analytics methods. Bachelors degree in a quantitative or related field; Graduate degree preferred.

Infinite Computer Solutions India Pvt. Ltd. is looking for Billops Data analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.