278 Data Analyst Jobs

Role Synopsis This role is a senior-level position within a data science team, responsible for providing leadership, strategic direction, and technical expertise in the field of data science and machine learning. This role involves leading all aspects of and guiding a team of data scientists while collaborating closely with multi functional departments, such as engineering, product management, and business collaborators. The Lead Data Scientist plays a pivotal role in crafting data-driven strategies and solutions that chip in to the organization's success and growth Key Accountabilities Data Analysis and Modeling: Lead data scientists must have a confirmed foundation in data analysis and a deep understanding of various machine learning algorithms They should be able to apply these techniques to address sophisticated problems and extract valuable insights from data Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk Business Insight: Understanding the FDO's business objectives and aligning data initiatives with them Project Management: Being skilled in project management methodologies helps in planning and driving data science projects efficiently Machine Learning: Innovation and Strategy - Advanced Machine Learning Skills for complex models. Evaluation Collaboration and Communication: Effective communication with collaborators, Explain the modeling approach and results. Implement to privacy guidelines and recommendation with conscious balance Continuous Learning: Staying up-to-date in competitive edge. Apply methodologies to practical business challenges. Meeting with domain GPO's Data cleaning and preprocessing, analysis: The ability to clean and preprocess data effectively is a fundamental skill in any data science role Data Ethics and Privacy: Open communication with customer. Ethical considerations in algorithm design. Secure data handling, Data minimization Database Management: Proficient in database systems and SQL is required for data retrieval and storage Domain knowledge: Expertise in the domain they are working in to understand the context and requirements of the data projects better Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts is needed for data analysis, modeling, and drawing substantial insights from data Experience and Job Requirements Data Science Team plays a crucial role in driving data-informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and complex datasets from multiple datasets to provide valuable insights and recommendations across various domains. Through advanced analytical techniques and machine learning models, the data science team helps optimize processes, predict trends, and build data-driven strategies. A bachelor's or equivalent experience or master's degree in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure Databricks, Statistics & Mathematics. Leadership qualities to steer the team. Strategic direction and technical expertise Soft skills: Active listening, Translate business problems into data questions, Communication and collaboration, Presentation, Problem solving, Multi-functional, Team management, Partner management Data Sources: SAP, Concur, Salesforce, Workday, Excel files Other: Project management. Domain knowledge [Procurement, Finance, Customer], Business Insight, Critical thinking, Story telling Able to prepare analytical reports, presentations and/or visualisation dashboards to communicate findings, important metrics and insights to both technical and non-technical customers Stay up to date with industry trends, standard methodologies and new technologies in data analytics, machine learning, data science techniques.

The Data Analyst will collect, process, and analyze data to help drive strategic decisions. They will interpret complex data sets, provide insights to various departments (like Marketing, Sales, Purchase, etc.), and support business performance through data-driven solutions. Key Responsibilities: Collect, clean, and validate data from multiple internal and external sources. Analyze trends, patterns, and correlations in complex data sets. Prepare visualizations, dashboards, and reports using tools like Excel, Power BI, or Tableau. Work with Marketing and Sales teams to understand customer behavior and improve campaigns. Support the Purchase department by analyzing vendor performance, pricing, and market trends. Monitor KPIs (Key Performance Indicators) and track progress toward goals. Provide competitor analysis and benchmarking reports. Identify process improvement opportunities based on data insights. Maintain and update data systems and databases. Ensure data accuracy, integrity, and security. Preferred Qualifications: Knowledge of Python or R for data analysis. Experience in market research or competitive intelligence. Familiarity with ERP systems and CRM tools.

Job description About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP), Retail domain exposure-must Location: Pune, Hyderabad, Gurgaon Key Requirements: Bachelors degree in Computer Science, MIS, or related fields. 6-7 years of relevant analytical experience, translating strategic vision into actionable requirements. Ability to conduct data analysis, develop and test hypotheses, and deliver insights with minimal supervision. Experience identifying and defining KPIs for business areas such as Sales, Consumer Behavior, Supply Chain, etc. Exceptional SQL skills. Experience with modern visualization tools like Tableau, Power BI, Domo, etc. Knowledge of open-source, big data, and cloud infrastructure such as AWS, Hive, Snowflake, Presto, etc. Incredible attention to detail with a structured problem-solving approach. Excellent communication skills (written and verbal). Experience with agile development methodologies. Experience in retail or e-commerce domains is a plus. How to Apply: Interested candidates can share their CV at pragati.jha@gspann.com.

Looking for Data analyst Skills - Python, Data analyst, SQL, BI, any HR module, etc. Exp - 6 to 8 yrs, Pune only

Role & responsibilities Formulates reports highlighting different trends leading to fulfilling business goals. Analyze data sets, draw meaningful insights by presenting through excel-based charts. Coordination with cross-functional teams and conducting virtual calls daily with respective teams. Microfinance knowledge would be added advantage. Be self-motivated and looking to do additional work by spearheading additional reporting clean-up/projects. Validate various data-pulls for accuracy and completeness. Effectively communicating with the Sr. management and helping them take business decisions by transforming data to meaningful analytical reports. Very strong reporting skills couples with business intelligence to get a deep understanding of the stakeholders reporting requirements so that they can be represented simply adequately to drive operational excellence. Preferred candidate profile Language Proficiency - Kannada Should be well versed with MS Excel (Advanced) VLOOKUPS, Pivots, Conditional Formatting, Nested Ifs, COUNTIFS, SUMIFS, Data Validation, Slicers, etc. Good Communication skills Interested candidates can share their cv at Pooja.jain@satincreditcare.com

Apex Group is a global financial services provider with over 13,000+ staff across 50+ offices globally. We look to recruit bright, articulate, and numerate employees who are not afraid of a challenge and are prepared to work hard and love what they do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex provides a global platform to allow you to thrive. The Role & Key Responsibilities Maintenance of legal agreements and corporate documentation of the different product lines within the Apex Group. Drafting and negotiating client service level/master service level agreements from the templates (and creating templates when required) Contract redlining or document markup of legal documents with excellent negotiation skills Responding to day-to-day enquiries from internal stakeholders and business partners. Monitoring of relevant contractual terms and ad hoc tasks to support the Apex Group Legal Department Create, manage and update relevant corporate databases and trackers Coordinating contract execution. Skills Required An individual with a Law Degree (equivalent to LLB/LLM) At least 4-5 years of proven experience in a similar position, preferably in Funds/Financial services company or a law firm. Possess excellent communication skills, both verbally and in written form (any additional languages would be an asset Disclaimer Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Proficient in Power BI Experience in FMCG (Consumer healthcare) space and generating business and marketing insights from syndicated databases is highly desirable Should be familiar with databases like Iqvia and Nielsen etc. Good communication skills Requirements The requirement forthe data analyst role: Experience : 5years; Location: Gurgaon; tenure: 3 months Proficient in Power BI Experience in FMCG (Consumer healthcare) space and generating business and marketing insights from syndicated databases is highly desirable Should be familiar with databases like Iqvia and Nielsen etc. Good communication skills

To impart training and monitor the student life cycle for ensuring standard outcome. Conduct live-in person/virtual classes to train learners on Adv. Excel, Power BI, Python and adv Python libraries such as Numpy,Matplotlib, Pandas,seaborn, SciPy, SQL-MySQL, Data Analysis,basic statistical knowledge. Facilitate and support learners progress/journey to deliver personalized blended learning experience and achieve desired skill outcome Evaluate and grade learners Project Report, Project Presentation and other documents. Mentor learners during support, project and assessment sessions. Develop, validate and implement learning content, curriculum and training programs whenever applicable Liaison and support respective teams with schedule planning, learner progress, academic evaluation, learning management, etc Desired profile: 2-3 year of technical training exp in a corporate, or any ed-tech institute. (Not to source college lecturer, school teacher profile) Must be proficient in Adv. Excel, Power BI, Python and adv Python libraries such as Numpy. Matplotlib, Pandas, SciPy, Seaborn,SQL-MySQL, Data Analysis,basic statistical knowledge. Experience in training in Data Analysis Should have worked in as Data Analyst Must have good analysis or problem-solving skills Must have good communication and delivery skills Good Knowledge of Database (SQL, MySQL) Additional Advantage: Knowledge of Flask, Core Java

We are currently seeking an experienced professional to join our team in the role of Lead Assistant Vice President - Business Consulting Business: CIB COO Principal responsibilities Ability to convert business problem to an analytical problem and then finding pertinent solutions Overall business understanding of BFSI domain Providing high-quality analysis and recommendations to business problems. Efficient project management and delivery Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making Focus on driving efficiency gains and enhancement of processes. Use of data to improve customer outcomes through the provision of insight and challenge Also drive business benefit through self-initiated projects Leadership & Teamwork The person is expected to have good attitude of a team player, working with a mixed cultural team across the globe. The role may require one to liaise with different stakeholders business teams, business analysts, product owners, data engineers, platform developers etc. The person should demonstrate leadership qualities in terms of bringing the junior members up the learning curve and handholding them whenever necessary Working with an Agile mindset, using regular project management tools like Jira, Confluence, GitHub etc. to share updates and remaining on top of the work One must display good stakeholder management and collaboration skills Complete adherence to overall Management of Risk/Internal Controls/Compliance for self and the team Qualifications - External Python SQL SAS Excel Pyspark Prior project management experience with knowledge of Agile methodology and exposure to project management tools like Jira, Confluence, GITHUB Exposure to Bigdata and Hadoop data lake is a big plus Knowledge of cloud platforms like GCP, Azure, AWS is a big plus

Hiring for AVP Data Analyst with the leading Investment Bank Job Location: Bangalore Skills: Looking for some who is having experience as a Data Analyst with strong stakeholder management, communication skills, requirement gathering, Python, Pyspark, SQL, Data Reporting, Visualization, Power BI & Tableau and should have worked on data analysis and hands on coding in python and Pyspark. No Data Engineer profiles Interested can share the profile - ssathish@allegisglobalsolutions.com Qualifications Python SQL SAS Excel Pyspark Exposure to Bigdata and Hadoop data lake is a big plus Knowledge of cloud platforms like GCP, Azure, AWS is a big plus Expertise in visualization tools like Qliksense, Tableau, Power BI is good to have Desired Candidate Profile 9-14 years of experience as a Data Analyst or similar role in banking domain. Strong expertise in Data Analysis (PySpark), Data Analyst (Python), SQL, Data Reporting & Visualization (Power BI/Tableau). Proven track record of working on large datasets using big data technologies like Hadoop ecosystem. Regards, Spoorthy ssathish@allegisglobalsolutions.com

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary UX Data Analyst-1 Job Title: Analyst, Open Banking User Experience Job Family: Data Analytics About the Role: The Open Banking Business Intelligence (OB BI) team plays a pivotal role in shaping the future of Open Banking by delivering data-driven insights, automation, and analytics solutions. Our mission is to democratize access to data and enhance the user experience (UX) across all Open Banking products and services. As an Associate Analyst, you will work alongside seasoned analysts to analyze consumer journeys, funnel performance, and API-driven data to optimize user interactions within our Open Banking ecosystem. This role provides an excellent opportunity for those eager to build a career in data analytics, UX, and fintech. Key Responsibilities: - Support UX and funnel analytics by examining user interactions, conversion rates, and behavioral trends. - Assist in collecting and synthesizing data from multiple sources, including API data and Open Banking platforms. - Apply data visualization techniques to convey insights clearly using tools such as Tableau and Power BI. - Work closely with product managers and developers to identify opportunities for optimizing customer experiences. - Conduct data cleaning, exploration, and validation to ensure high-quality analysis. - Collaborate with cross-functional teams to standardize and automate reporting processes. - Participate in data-driven storytelling to make complex findings actionable. About You: - Bachelors degree in Computer Science, Data Analytics, Economics, Statistics, or a related field. - Strong analytical skills with an interest in user behavior and Open Banking trends. - Familiarity with SQL, Python, or R for data analysis is a plus. - Experience with data visualization tools like Tableau, Power BI, or Excel. - Understanding of fintech, payments, or banking ecosystems (preferred but not required). - Strong communication skills with a willingness to learn and collaborate. - Ability to work in a fast-paced environment and manage multiple projects effectively. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.

The Open Banking Business Intelligence (OB BI) team plays a pivotal role in shaping the future of Open Banking by delivering data-driven insights, automation, and analytics solutions. Our mission is to democratize access to data and enhance the user experience (UX) across all Open Banking products and services. As an Associate Analyst, you will work alongside seasoned analysts to analyze consumer journeys, funnel performance, and API-driven data to optimize user interactions within our Open Banking ecosystem. This role provides an excellent opportunity for those eager to build a career in data analytics, UX, and fintech. Key Responsibilities: - Support UX and funnel analytics by examining user interactions, conversion rates, and behavioral trends. - Assist in collecting and synthesizing data from multiple sources, including API data and Open Banking platforms. - Apply data visualization techniques to convey insights clearly using tools such as Tableau and Power BI. - Work closely with product managers and developers to identify opportunities for optimizing customer experiences. - Conduct data cleaning, exploration, and validation to ensure high-quality analysis. - Collaborate with cross-functional teams to standardize and automate reporting processes. - Participate in data-driven storytelling to make complex findings actionable. About You: - Bachelors degree in Computer Science, Data Analytics, Economics, Statistics, or a related field. - Strong analytical skills with an interest in user behavior and Open Banking trends. - Familiarity with SQL, Python, or R for data analysis is a plus. - Experience with data visualization tools like Tableau, Power BI, or Excel. - Understanding of fintech, payments, or banking ecosystems (preferred but not required). - Strong communication skills with a willingness to learn and collaborate. - Ability to work in a fast-paced environment and manage multiple projects effectively.

Skills : Data Anayst, SQL, Python, Workay/HCM/HRMS Location : Pune, Hyderabad Exp : 3-7 yrs

Position Name Data Analyst Total Exp: 3 (Min) - 15 (Max) Notice Period: Immediate Work Location: GURUGRAM Work Type: WFO (5 Days) Interview Rounds: 2 Rounds Interview Mode: Virtual in Teams Skill Summary: Data analysis Job Description Must have: Must Have Job Title: Data Analyst with Macro and Automation Expertise Job Description: We are seeking a skilled and detail oriented Data Analyst with a strong background in data analysis, proficiency in creating macros for report generation, and the ability to extract valuable insights from raw data files. The ideal candidate should also possess a basic knowledge of automating daily reports to streamline and optimize reporting processes. Responsibilities: 1. Conduct in depth data analysis to identify trends, patterns, and insights. 2. Develop and implement macros to automate the preparation of reports. 3. Work with raw data files to extract, transform, and load data for analysis. 4. Collaborate with cross functional teams to understand reporting requirements. 5. Generate regular and ad hoc reports, ensuring accuracy and reliability. 6. Utilize data visualization tools to present findings in a clear and understandable manner. 7. Provide recommendations based on data analysis to support business decision making. 8. Stay informed about industry trends and advancements in data analysis techniques. 9. Assist in the automation of daily reporting tasks to improve efficiency. 10. Maintain data integrity and adhere to data governance policies.

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. Were all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions . We at the Premium team, work with our entire subscription revenue product suite end-to-end by building the front-end and back-end services and systems. Our goal is to ensure that our current profitable and rapidly growing subscriptions business runs flawlessly (we grew by 1000% in the last year) while empowering the org to execute on future product road maps. Our team also has a deep knowledge of Play & App store APIs and have been featured speakers at Googles subscription partner days and Google Playtime where we have detailed ways to grow and retain paying subscribers. As a Data Analyst you will help create extensive dashboards for the team and the organisation to leverage while determining the direction of the product, publish insights for the organisation, and will also help occasionally with data collection. Your primary focus will be in data visualisation, doing statistical analysis, and building high quality use demographics and user interaction funnels What you bring in: 2-4 years of experience doing quantitative analysis. Expertise in SQL querying languages Expertise in any data visualisation tools Google Data Studio etc. Extensive experience with analytical and quantitative problem solving Extensive experience in presenting complex data in a simple and high level approach The ability to communicate the results of analyses in a clear and effective manner. A fair understanding of A/B experiments and hands-on experience is a plus. The impact you will create: Collect, clean, organise, analyse and interpret application data and usage, draw insightful conclusions to enable data-driven product enhancements Create visual interpretations of data, produce graphs and charts with insightful notes and summaries Analyse customer data and assist product development in finding new innovative ways of presenting and making use of data Support the management in identifying, measuring and following up on key metrics Provide regular, accurate and comprehensive statistical reports Provide objective insight and analysis to influence decision making Keep up to date with knowledge on external market and data research, and work towards adding data points from external sources to our own data in order to create a value-added analysis Work on revenue prediction model and user segmentation model It would be great if you also have: Experience in retention, churn, cohort analysis, segmentation, and app store data Experience from working with mobile applications Experience with big data, especially in cloud services Life at Truecaller - Behind the code: https: / / www.instagram.com / lifeattruecaller / Sounds like your dream job We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore, India. We only accept applications in English . What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that s why we would love to meet you.

Experienced analytics professional with prior Pharma commercial analytics experience in the below practice areas - - Customer segmentation - Sales Force Effectiveness / Operations - Sizing, Alignment, Call Planning Candidate should be able to leverage various technology platforms Advanced Excel/VBA, Python/R & SQL. Statistical/data science packages expertise will be considered as an added advantage. Deliver various types of analytics projects, like Customer Segmentation, Alignment Design, Sizing, etc for delivering complex business operations projects, depending on the needs of the client. Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner. Candidate should be a self-starter and be open to new learnings. Provide technical leadership/ mentorship to junior team members; groom them for additional responsibilities. Handle small and large datasets on projects efficiently and figure out the right technology to use for processing the data and delivering the analyses. Develop expertise in pharmaceutical datasets and be a champion within the team. Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools. Meaningfully communicate insights and information to a broad group of stakeholders (internal/external) through excellent oral and written communication. Must Have BE /B.Tech/M.Tech, MBA (Optional) with 3+ years of experience in pharmaceutical industry Experience in pharmaceutical commercial analytics is a must with know-how of common data-sets like IQVIA, Symphony Has worked on the following areas - - Customer segmentation - Sales Force Effectiveness / Operations - Sizing, Alignment, Call Planning Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, R/Python Experience in incentive compensation practice is a must Hands-on experience on dedicated platforms & tools for concerned practice area is a must Strong presentation and communication skills

We are looking for a Data Analyst Intern who is passionate about working with data and deriving insights that drive business decisions. The ideal candidate should be proficient in Power BI, Excel, and other analytical tools as needed. Understanding of data visualization, ETL processes, and business intelligence concepts. This role offers an opportunity to work closely with cross-functional teams, analyse key metrics, and contribute to data-driven strategies at Smytten. Key Responsibilities: Collect, clean, and analyse large datasets to derive actionable insights. Create interactive dashboards and reports using Power BI to visualize key performance metrics. Utilize advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc) for data manipulation and analysis. Assist in monitoring key business KPIs and reporting trends. Work with different teams (Marketing, Product, Sales) to support data-driven decision-making. Automate data reporting processes to improve efficiency. Stay updated with new analytical tools and techniques to enhance Smytten s data capabilities. Required Skills & Qualifications: Knowledge of DAX (Power BI) and data modelling is an advantage. Strong analytical and problem-solving skills with a keen eye for detail. Prior experience with e-commerce, consumer analytics, or digital marketing analytics is a plus. Ability to interpret data and generate actionable business insights. Strong communication skills to present findings effectively. Comfortable working in a fast-paced, data-driven environment. bachelors degree (or currently pursuing) in Data Science, Analytics, Engineering, Mathematics, or a related field .

Job Description Job Purpose The Data Analyst, Market Data will join the Master Data Management team within Intercontinental Exchange (ICE). The Master Data Management team is responsible for building and maintaining corporate company-wide data uniformity. This position will be responsible for managing high-level data sets (Business Entity, Client Segmentation, Contact Data, etc. ) and onboarding new acquisitions on schedule. The successful candidate will work on new and existing projects in close collaboration with teams that include Data Warehouse, Sales, Finance, and internal stakeholders. The analyst must be results-oriented, self-motivated and can thrive in a fast-paced environment. The candidate must have the ability to work independently; must have excellent verbal and written communication skills; must have excellent organizational skills. Responsibilities Analyse various levels of client specific information and to ensure that it is populated into the database of record in an accurate, complete, and timely manner. Document requirements clearly and concisely for each project being undertaken. Assist in evaluating information gathered from multiple sources, reconciling conflicts, and determining best path forward. Perform changes to master data following established processes including but not limited to create, change, activate/deactivate or otherwise modify master data. Identify areas for data quality improvements and help resolve data quality problems through the appropriate procedures or improvements. Utilize Salesforce, OBIEE, and Capital IQ to reconcile data outputs. Work closely with other team members and cross-functional team members. Standard office hours include 1:00 PM IST to 10:00 PM IST (UK Shift) Candidate should be flexible for US shifts for any future requirements Knowledge and Experience Post graduate degree (preferably MBA Finance) or bachelor s degree with equivalent combination of education and experience. 3+ Years of Experience in Secondary research which involves summary, collation, and synthesis of existing research. Experience in Excel and database technologies including pivot tables, Visual Basic/SQL query writing. Excellent communication skills. Position must communicate clearly, respectfully, and effectively with many different types of people and departments across the firm. Strong knowledge and understanding of the Financial Markets Data. Strong Analytical and problem-solving skills. Exceptional organizational skills and ability to manage multiple tasks and priorities. Excellent attention to detail and high degree of demonstrated decision-making and problem-solving skills. Must possess the ability to influence others. Ability to distill large amounts of varied information into specific takeaways.

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

Overview This role combines the expertise of a Data Analyst with the leadership and project management skills of a Technical Program Manager. The Data Analyst & TPM will be responsible for collecting, analyzing, and interpreting data to drive informed decision-making, while also managing technical programs from initiation to closure, ensuring successful delivery and meeting project objectives. Primary Responsibilities: Initiate, plan, execute, monitor, and close cross-functional technical programs. Develop and manage program roadmaps, timelines, and budgets. Identify and manage program risks and issues. Communicate program status and progress to stakeholders. Collaborate with technical teams to ensure successful program delivery. Conducting and facilitating Scrum events like Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective. Ensuring these events are productive and adhere to Scrum guidelines. Keeping meetings on time and focused. Helping the team improve their self-organization and self-management. Fostering an environment of open communication and collaboration within the team. Collaborating with the Product Owner to ensure the product backlog is prioritized and refined. Helping the team define and maintain quality standards. Ensuring that deliverables are up to quality standards at the end of each Sprint. Qualifications Skills and Experience: Knowledge of Scrum and Agile Methodologies Strong Communication and Facilitation Skills Conflict Resolution Skills Problem-Solving Skills Leadership and Coaching Skills Organizational Skills Empathy and Interpersonal Skills Ability to Work Independently and as Part of a Team Experience with project management methodologies (e.g., Agile, Waterfall). Excellent communication, presentation, and interpersonal skills. Ability to work independently and as part of a team.

Data Analyst Trainer & Executive - Kochi - Finprov Learning Data Analyst Trainer & Executive Kochi Job Description Data Analyst We are looking for a Data Analyst who will be responsible for conducting data analysis and delivering insightful reports while also training students and internal trainers. The ideal candidate should have strong analytical skills, a passion for teaching, and the ability to translate complex data into actionable insights. Key Responsibilities Design and develop training materials, case studies, and real-time projects for Develop structured Train the Trainer (TTT) programs to train internal trainers on data analytic tools and methodologies. Conduct hands-on training sessions for students on topics related to data analytics and data visualization and make them capable to indepenedently perform tasks. Continuously update training materials to incorporate the latest tools, technologies, and best practices in data analytics. Use engaging teaching methods, such as case studies, group discussions, and hands on exercises, to enhance student understanding and retention. Data Analysis & Reporting Develop and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau to provide meaningful insights for business decisions. Work with cross-functional teams to understand business needs and translate them into actionable data insights. Continuously monitor and analyze operational data, highlighting critical trends and areas requiring management attention. Generate and present periodic reports (daily, weekly, monthly) to management on key business metrics and performance trends. Skills & Qualifications Bachelor s or Master s degree in any field, preferably commerce. Strong knowledge of SQL, Excel, Power BI, Tableau, Python, or R. Proven experience in data analysis, visualization, and reporting. Passion for upskilling and mentoring students and trainers. Fluency in Malayalam and English. Door No -514, Finprov, 1, Ponnurunni-Chalikkavattom Rd, Vyttila, Ernakulam, Kerala 682019.

Greetings of the day ! Our reputed MNC Client is hiring for Data Analyst role: Location: Hyderabad Shift: General Work Mode: Work From Office Notice Period: 0 - 45 days (Plz don't apply if your notice period is more than 45 days) Key Responsibilities: - Generate insights and analyze brand performance using various data sources - Develop and maintain reports to assess business performance and identify trends - Provide strategic recommendations on promotional marketing initiatives - Collaborate with cross-functional teams to achieve objectives - Manage projects and ensure timely implementation Requirements: - 2-3 years of relevant experience in data analytics - Proficiency in Microsoft Office, Excel, Power BI, and SQL. -Candidates should be from FMCG industry Warm Regards, Gayatri Kumari Email Id: gayatri@v3staffing.in V3 Staffing Solutions

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We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required ? Must be a good team player with good communication skills ? Must have good presentation skills ? Must be a pro-active problem solver and a leader by self ? Manage & nurture a team of data engineers

Dear Candidate, One of our leading IT MNC Clients is looking for Data Analyst & Data Modeler on Immediate basis. Role: Senior Data Expert (Data Analyst & Data Modeler) Exp.: 8 12 Years Location: Hyderabad / Pune Mode of Work : WFO Skill: Datamodeler, SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). In this role, you will: Support the delivery of complex transformation program development within data portfolio. Work within agile multi-skilled teams to create world class products to serve our customers needs. Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution. Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products. Understand the "user" journey end to end which goes beyond the "system”. Provide advanced business knowledge and technical support for requirements development. Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations. Create and maintain the data models. Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc. To be successful in this role, you should meet the following requirements: Strong Data Analysis and/or Data Modeling experience of 8-12 years. Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping. Should be an individual contributor with good understanding of the SDLC & Agile methodologies. A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment. Excellent communication & stakeholder management skills and should be capable of building rapport and relationships. Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects. Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable). Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. If Interested, Send CVs to anji.g@kanarystaffing.com