1795 Data Mining Jobs - Page 8

The Data and Reporting Associate plays a vital role in converting raw data into valuable insights to support decision-making processes within the organization. This is an excellent opportunity for an individual who is detail-oriented, analytical, and enjoys working with data and reporting tools. Working alongside the analytics and reporting team, the Data and Reporting Associate will be involved in collecting, analyzing, and interpreting complex datasets to ensure accurate data reporting and to develop effective data-driven strategies. Collaboration with various departments is essential to tailor data solutions and provide insightful analyses aligned with strategic goals. The role requires a proactive approach, strong problem-solving abilities, and the skill to effectively communicate technical findings to non-technical stakeholders. Responsibilities - Collect, organize, and analyze large datasets from diverse sources for reporting purposes. - Develop and maintain dashboards and reports to facilitate informed decision-making. - Conduct regular audits and quality checks to ensure data accuracy and integrity. - Collaborate with different departments to understand and address their data requirements. - Translate intricate data findings into understandable insights and recommendations. - Assist in designing and implementing data management processes and procedures. - Monitor key metrics and generate recurring reports for performance monitoring. - Support data warehousing initiatives by aligning reporting needs with IT solutions. - Contribute to data strategy discussions and drive innovation in data analytics. - Provide training and assistance to team members on data reporting tools and techniques. - Conduct ad-hoc data analysis and deliver timely insights to stakeholders. - Uphold confidentiality and security of organizational data at all times. Requirements - Bachelor's degree in Data Science, Statistics, Business, or a related field. - Demonstrated experience in data analysis, reporting, and visualization tools such as Tableau. - Proficiency in SQL and Excel for data manipulation and analysis. - Strong analytical skills with a keen focus on accuracy and attention to detail. - Ability to effectively communicate complex data insights to non-technical audiences. - Prior exposure to data management and reporting software is preferred. - Familiarity with statistical analysis and data mining techniques is advantageous.,

As a member of the Google Cloud Consulting Professional Services team, you will have the opportunity to contribute to the success of businesses by guiding them through their cloud journey and leveraging Google's global network, data centers, and software infrastructure. Your role will involve assisting customers in transforming their businesses by utilizing technology to connect with customers, employees, and partners. Your responsibilities will include interacting with stakeholders to understand customer requirements and providing recommendations for solution architectures. You will collaborate with technical leads and partners to lead migration and modernization projects to Google Cloud Platform (GCP). Additionally, you will design, build, and operationalize data storage and processing infrastructure using Cloud native products, ensuring data quality and governance procedures are in place to maintain accuracy and reliability. In this role, you will work on data migrations, modernization projects, and design data processing systems optimized for scaling. You will troubleshoot platform/product tests, understand data governance and security controls, and travel to customer sites to deploy solutions and conduct workshops to educate and empower customers. Furthermore, you will be responsible for translating project requirements into goals and objectives, creating work breakdown structures to manage internal and external stakeholders effectively. You will collaborate with Product Management and Product Engineering teams to drive excellence in products and contribute to the digital transformation of organizations across various industries. By joining this team, you will play a crucial role in shaping the future of businesses of all sizes and assisting them in leveraging Google Cloud to accelerate their digital transformation journey.,

You should have a minimum of 2 years of experience working as a document reviewer and QC, supporting a team lead in project management. Ideally, you should also have at least 1 year of experience in team management and leading a team. As a part of your role, you will be responsible for overseeing a team of 15-20 document review and data breach specialists. Your team will be focusing on reviewing documents for various levels of review such as first level review (tagging documents based on responsiveness), second level review, subjective coding, and redfern requests. Additionally, you will be involved in data mining activities. Collaboration with Project Managers (PM) and Assistant Project Managers (APM) will be crucial as you provide insights on keywords for search creation and validations. You will also handle queries, maintain a query log, and discuss updates received from Counsel with the PM and APM. Conducting briefing sessions, sharing daily updates, and performing stratified random sampling and QC on reviewed data will be part of your responsibilities. You will also be accountable for achieving individual reviewer productivity goals, providing refresher training to reviewers, and offering daily performance feedback. If you have a background in legal automation and possess the required experience, we encourage you to apply for this challenging role.,

You will be responsible for supporting Agile software development by administering tools such as Jira and LeanKit, developing dashboards and reports, and assisting Agile teams in using data for continuous improvement. Your role will involve overseeing the governance of product delivery tools, analyzing performance data, and providing insights to Agile teams and leadership. Collaboration across different functions, mentoring, and proactive problem-solving will be essential to ensure efficient and transparent Agile delivery. To be successful in this role, you should have at least 10 years of experience in Software Development and/or Quality Assurance, with a minimum of 5 years working in an Agile environment. Additionally, you should have 5 years of experience in technology project management and have held a management or leadership role for at least 5 years. Knowledge of Agile methodologies, hands-on experience with Agile tools and practices (particularly Scrum), and proficiency in Jira administration and Agile governance are mandatory skills required for this position. Your expertise should also include data mining, scripting, APIs, and SQL, as well as familiarity with data visualization tools and Agile reporting. You should be able to identify dependencies, manage risks, and communicate mitigation plans effectively. Strong collaboration skills with various stakeholders, including Product Owners, Dev Teams, Architects, and Client Management, are crucial. Experience with tools like LeanKit and Code Climate Velocity is preferred, along with strong problem-solving and mentoring capabilities. In addition to the mandatory skills, experience with Agile delivery optimization tools, exposure to software architecture and continuous improvement frameworks, and knowledge of finance-related reporting for Agile operations are considered nice-to-have skills. Your ability to balance technical and business priorities while working with stakeholders will be key to your success in this role. UST is a global digital transformation solutions provider that has been partnering with leading companies for over 20 years. With a workforce of over 30,000 employees in 30 countries, UST focuses on driving innovation and agility in their clients" organizations, making a positive impact through transformation. Join UST if you are looking to be part of a purpose-driven team that is committed to making a difference through technology and people-centric solutions.,

Provectus Corp Advisors is a dynamic global company specializing in the Outsourcing industry, with a focus on expanding reach across international markets. We are seeking a passionate and driven Marketing Intern from India to join our team and support global marketing initiatives. The role will be based at 1501, Yash Anant, beside ATMA House, Ashram Road - 380009. The working hours are from 5 PM to 10 PM, Monday to Friday, with a requirement to work from the office. **Key Responsibilities:** - Assist in social media marketing efforts - Conduct data mining activities - Perform market research on global trends, competitors, and customer behavior - Aid in the localization and cultural adaptation of marketing materials - Analyze marketing metrics and prepare performance reports - Manage and update marketing content on the website and social platforms - Engage in brainstorming sessions and strategy discussions **Qualifications & Skills:** - Currently pursuing or recently completed a degree in Marketing, Business, International Relations, or a related field - Strong verbal and written communication skills in English - Familiarity with digital marketing tools such as Google Analytics, Meta Ads, and SEO tools - Basic knowledge of international markets and cultural sensitivities - Proficiency in Microsoft Office and/or Google Workspace - Ability to work independently and in a team, across different time zones - Interest in global branding and multicultural outreach **Preferred:** - Prior internship or project experience in marketing or international business - Knowledge of a foreign language is a plus (Spanish, French, Mandarin, etc.) **What You'll Gain:** - Hands-on experience in global marketing operations - Exposure to international business environments - Networking opportunities with professionals - Certificate of Internship & Letter of Recommendation upon successful completion This is a part-time internship position with a contract length of 6 months. The expected work hours are no more than 20 per week. Benefits include paid sick time and paid time off. The work schedule consists of an evening shift from Monday to Friday, following the US shift timings with weekend availability. The work location is in person.,

You will be working as a Jr. SQL Developer with 1 to 3 years of experience at our office in Pune. Your responsibilities will include working as a Data Analyst or Business Data Analyst, possessing technical expertise in data models, database design development, data mining, and segmentation techniques. You should have a strong knowledge of databases such as SQL, ETL frameworks, Excel, SSIS, etc. Strong analytical skills are required for collecting, organizing, analyzing, and presenting information with attention to detail and accuracy. You should be adept at queries, report writing, and presenting findings effectively. In addition to the job role, you will have the opportunity to be part of one of the top 30 preferred workplaces in India. Professional development opportunities will be provided to pursue career aspirations beyond the current role. The company promotes work-life balance, offers freedom in the workplace, diversified industry domain experience, exposure to technology and product innovations, and joyful employee engagement activities. As part of the screening process, you will be asked about your work experience with SQL Developer, your comfort with commuting to the job location in Pune, and your availability to start immediately. If you are enthusiastic about working in a dynamic environment, contributing to business intelligence, and enhancing your technical skills, this role at AutoFlowTech could be the perfect fit for you.,

Hiring Alert: General Mills India Centre- Sales Strategy & Intelligence Team is hiring for graduates (BMS/BBA: 2024/2025 pass outs) for multiple roles. Job Overview: Sales Strategy & Intelligence drives results by diving deep into the data and providing actionable insights to the business. Right from Data analytics to creating impactful visualization to acing the new age technologies, we work closely with Sales, Category, Brand, Trade, SRM, and cross-functional teams for each part of the Sales lifecycle. The Role will be responsible to support the business across categories and regions in the US / International markets. Which includes assisting/partnering on key responsibilities such as managing processes, supporting creation of planograms, Data mining & Harmonization, managing recurring deliverables & reporting. The longer-term vision for this profile is to support a wide variety of reporting needs including initiating value adds and providing insights by developing a strong category & trade knowledge, proprietary tool proficiency and technical expertise. Job Responsibilities Deliver Standard Reports - Master and own the monthly deliverables in the form of reports & presentations and send quality output in a timely manner. Adhere to KPIs for timeliness and quality for all data request & task activities - Display a high sense of accountability and presence of mind when completing requests with high visibility or tight turnaround times and communicate effectively. - Work alongside of peers and inculcate best practices and elevate the teams ability to tackle business questions with value adds - Extract data from 3rd party applications & also identify patterns/trends. Technical Expertise - Apply intermediate level of expertise in MS Excel, MS PowerPoint, MS Access, Tableau, Nitro/Demand transfer/Retail link, Bex, BO, ECRM, Feature Vision, Nielsen etc. - Support the development reports and tools - Follow a robust audit system for all reporting activity - Have an awareness of existing macros in the team and re-use to make data mining, data harmonization and data audit efficient and effective -Excellent communication skills (Verbal/Written/Oral) -Problem solving ability The roles would be on contract for maximum 1 year and absorption would be basis performance, learning agility and adaptability to General Mills culture within that year. Request the interested candidates to share your cv on email id: Nazia.Mansuri@genmills.com

Visa is seeking a full stack Java/J2EE developer with good hands-on experience in front end technologies like angular. The Visa Commercial Solutions team is responsible for designing, developing, and managing 20+ applications and services for Visa s Commercial line of products. Our range of products include data processing, business intelligence, data mining, and B2B payments solutions Primary responsibilities for this role will include As part of a cross functional scrum team, design, develop & test new applications and maintain existing applications Develop code that complies with design specifications and meets security and industry best practices. Work with architects, systems analysts, project managers, QA and other developers to successfully implement business requirements while applying the latest available tools and technologies. Participate in design and code review sessions as appropriate to ensure the quality of work delivered by teammates is in accordance with development standards Build working relationships with global and virtual teams on software development This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: * 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: * 3 or more years of work experience with a Bachelor s Degree or more than 2 y

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Senior Data Scientist+Instructor to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", Big Data , and Data Analytics courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications: A Ph.D. (or a Masters degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable 3-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications: A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education! Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, ...

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. We are looking for a skilled Automation Engineer to join our dynamic team. The ideal candidate will have strong technical and automation expertise, with a focus on Java programming, API testing, and handson experience with key automation tools like Selenium, GIT, and Jenkins. You will play a crucial role in ensuring the quality and reliability of our software products through automated testing. Responsibilities Develop, implement, and maintain automated test scripts using Java. Perform API testing to ensure the functionality and reliability of our services. Write and execute Seleniumbased automated tests for web applications. Work within an Agile environment, participating in sprint planning and daily standups. Maintain and update test cases in JIRA and track issues as part of the testing lifecycle. Requirements Proven experience in automation testing with strong proficiency in Java. Handson experience with Selenium for automated UI testing. Proficiency with API testing using tools such as Postman, RestAssured, or similar. Understanding of version control using GIT and Jenkins. Familiarity with Agile methodologies and working in Agile teams. Knowledge of JIRA for test management and issue tracking. Nice to Have Understanding of functional testing. Note Please do not consider candidates whose work experience is primarily in BDD frameworks. Location Bangalore Exp 4 to 7 Mandatory Skill Sets Automation Testing Preferred Skill Sets QE Testing Years of Experience required 47 years Education Qualifications BTECH/MTECH Education Degrees/Field of Study required Master of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Automation Engineering Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

At Amazon, we strive to be Earth s most customer centric company where people can find and discover anything they want to buy online. We hire the world s brightest minds, offering them an environment in which they can relentlessly improve the experience for customers. Innovation and creativity are built into the DNA of the company and are encouraged at all levels of employment. Every day we solve complex technical and business problems with ingenuity and simplicity Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects Prepare and publish daily/ weekly/ monthly reports on inventory quality (IRDR/ Large adjustments/ Unmatched X, Top20 reports/ HRV adjustments etc) Bin Management and control ( creation/ addition/ deletion/ bin locks) Conduct daily training and also will be responsible to conduct daily skill huddles Quality Feedback to associates Stand-in for Process Associate and the Area Manager . Experience in troubleshooting/ problem-solving desired Strong analytical, math, data analysis, listening & communication skills Experience in analyzing shop-floor processes and trends and recommending improvements Knowledge of SQL is mandatory. Visual Basic is an added advantage Use of macros to simplify reports A day in the life A day in the life Works on key business aspects of safety, quality, customer experience, and productivity of their department. Review the work forecasts and determine your productivity requirements to produce during the day to meet the overall building objectives. Follow FC leadership routine and partner with other Area Managers to balance labor ensuring that you are operating a balanced and efficient shift while meeting all of your goals. Support all safety programs and compliance to ensure a safe work environment for all associates. Participate in process improvement initiatives of the department. -Experience in an analytical role in the Quality Assurance function preferred -Business analysts in any of the Amazon teams who have a flair for data crunching and generating innovative reports that drive actions -Prefer candidates with similar experience in Tier1 Auto-component/ Automotive Manufacturing/ Electronics Industry

Techversant is seeking experienced Data Scientist Engineers who will be responsible for developing and driving new business opportunities internationally. The incumbent will be responsible for discovering sales opportunities and creating qualified leads. Job Description Key Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out the preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Required Skills Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data Excellent Communication Skills it is incredibly important to describe findings to a technical and non-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind and great business sense Degree in Computer Science, Engineering or relevant field is preferred Proven Experience as Data Analyst or Data Scientist Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you ll have your weekends off! Unique leave benefits and encashment options based on performance. Long term growth opportunities. Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs for training hours taken, certifications, special value to business through idea and innovation. Work life Balance flexible work timings, early out Fridays, various social and cultural activities etc.

As a Data Scientist you will identify business trends and problems through complex big data analysis. You will interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. You will design, develop and implement the most valuable business solutions for the organization. You will prepare big data, implements data modules and develops database to support the business solutions. Responsibilities: Work on existing Digital Products and understand and enhance the current intelligent models and innovatively improve them. Work with stakeholders to identify opportunities from data, drive innovation and a culture of Invention Disclosures. Translate data into actionable insights to empower confident decisions, product creation & development, drive optimization, marketing techniques, business strategies and outcomes. Research, develop, plan and implement predictive AI/ML/DL based algorithms, Optimization techniques for IoT, IIOT, Robotics and other digital products. Develop, manage and maintain Machine Learning and Deep Learning models and algorithms to apply to data sets. Assess the effectiveness, efficacy and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Motivation and drive to seek out for new projects and opportunities. Qualifications: Masters Degree - A Ph.D. in Electrical Engineering, Computer Science, or related fields is required. Strong oral and written communication skills. A collaborative mindset to excel in a team environment. Ability to take complex problem objectives and come up with innovative and flexible solutions. Proven track record of driving changes. Ability to reconcile complex possibly conflicting tasks and come up with realistic solutions Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc. Expertise with statistical techniques and their applications in business. Coding knowledge and experience with Python is a minimum. C, C++, Java, R and JavaScript is a plus. 3 years of experience in working with any of the deep learning frameworks like Pytorch, Tensorflow, Caffe, etc. 3 years of a proven track record of independent thinking and complex problem-solving. Work can include papers in reputed conferences or journals and/or patent applications. 3 years of a proven track record of R&D research in an industrial setting with multiple patents/patent applications. 3 years of experience in robotics i.e., automation through reinforcement learning. 3 years of experience in optimization theory like black-box optimization methods. 3 years of experience in designing algorithms for IoT devices with resource and power constraints.

We are looking for a highly motivated and detail-oriented Financial Analyst III to join our Finance Operations Accounting and Analysis (FOAA) team in Bangalore. This role is critical to ensuring that our accounting processes run smoothly in a highly controlled and compliant environment delivering exceptional accuracy, efficiency, and insights aligned with Amazon s leadership principles of Customer Obsession, Deliver Results, and Insist on the Highest Standards. You will work closely with Central Accounting, Finance Operations, and Global Finance teams to support month-end close, drive operational excellence, and uphold rigorous financial control standards. This position plays a pivotal role in closing global books, preparing reconciliations, managing journal entries, driving reporting, and engaging with leadership on performance reviews. Key Responsibilities Accounting & Financial Control Lead the end-to-end month-end close process for accounting options, including journal entry posting, global general ledger reconciliations, and reporting. Ensure accurate and timely financial reporting, with a strong emphasis on compliance and control. Own transition management, reporting decks, and operational reconciliations. Monitor and enhance process efficiency and accuracy through automation and continuous improvement. Benchmark practices against industry standards to ensure excellence in accounting processes. Ensure all accounting activities comply with internal policies, SOX, and audit requirements across geographies. Analyze large and complex datasets to extract business insights and support decision-making. Develop dashboards and metrics to monitor the health and quality of finance processes and controls. Invent & Simplify Drive process improvements and innovate on behalf of internal customers by optimizing workflows and controls. Support ad-hoc financial analysis, variance reviews, and performance reporting. Maintain detailed documentation of policies, procedures, and internal controls. Play a leading role in strategic initiatives and special projects as assigned. Leadership & Stakeholder Management Act as a key liaison between global and regional finance teams, building strong relationships with internal stakeholders. Anticipate needs, honor commitments, and deliver high-quality service to business partners. Collaborate with remote teams across multiple time zones and drive alignment on shared goals. Lead hiring and training efforts within the team, promoting best practices and continuous learning. Maintain a strong systems orientation and leverage tools to drive scalable solutions. A day in the life What We re Looking For Proven ability to manage complex accounting operations in a high-growth, fast-paced environment. Experience with financial reporting, SOX compliance, internal controls, and audit management. Strong analytical skills with experience handling large datasets and deriving meaningful insights. Passion for process excellence, innovation, and delivering high standards. Ability to work effectively across cross-functional teams and global geographies. A proactive, hands-on attitude with a strong sense of ownership and accountability. 8+ years of tax, finance or a related analytical field experience 3+ years of advanced proficiency in Excel (pivots, lookups, etc.) experience 6+ years of Accounts Receivable or Account Payable experience 6+ years of applying key financial performance indicators (KPIs) to analyses experience 6+ years of building financial and operational reports/data sets that inform business decision-making experience 6+ years of creating process improvements with automation and analysis experience 5+ years of directly managing and leading a team of 5+ members experience 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience 6+ years of mentoring junior finance and/or business team members experience 3+ years of working with senior staff (e.g. c-suite) experience MBA, or CPA Experience working with large-scale data mining and reporting tools (i.e. SQL, MSAccess, Essbase or Cognos) and providing recommendations based on results of ad hoc analyses to management for strategic decision-making

Products Technology Resources Mechatronics BIGDATA Scientist Developer Mechatronics BIGDATA Scientist Developer Department : Research Development Department Reporting to : General Manager Responsibility Key responsibilities Selecting features, building optimizing classifiers using machine learning techniques. Data mining using state-of-the-art methods. Extending company s data with third party sources of information when needed. Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity of data used for analysis. Performing ad-hoc analysis and presenting results in a clear manner. Creating automated anomaly detection systems and constant tracking of its performance. Behavioral Competencies Data-oriented person. Skills Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Depending on our specific project requirements . Excellence in at least one of these NumPy or R is highly desirable. Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig, NiFi {{actual list depends on what you are currently using in your company}}. Experience with NoSQL DB s such as InFleuxDB, MongoDB, Cassandra, HBase. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting programming skills PHP, Slim, SQL, Laravel. Hadoop, HDFS, NiFi. Other Professional Training, if any Any certification related to BigData. Share this position Facebook LinkedIn WhatsApp Are you the right fit Essential qualification : MTech./ MS/Mechatronics / Computer or equivalent Experience : 2 years of proficient experience working and developing SDKs for any platform Location : Bengaluru, Karnataka Didnt you find your position Let us know more about your capabilities and if you re a relevant candidate, we will get back to you swiftly. Are you the right fit Apply for this position Thank you for considering BFW as your future workplace! We invest a significant amount of energy and focus into creating an excellent workspace, offering numerous opportunities and promising careers. If you re interested, please feel free to provide us with more information. Please note that only relevant candidates will be contacted. First name Last name Email ID Confirm email ID Current address Phone number Tell us more about your previous experience (title, company, how long did you work there, your responsibilities...) Experience details Education (the highest) Major Degree Description Studies (from - to) Have you ever worked for BFW Current salary Expected salary Upload your CV and other useful documents Apply now Join our team Make a difference Our mission is to contribute to the advancement of humanity through technology. But we can t achieve that without you. Global clients Here s your opportunity to work for some of the leading global brands in the world, such as Toyota and Bosch. Bharat Fritz Werner Ltd. (BFW) is a pioneering name in machine tools, manufacturing solutions, and technological innovation. Follow us on PRODUCTS RESOURCES Contact BFW UPDATES Subscribe to get notified about latest events, new products, industry insights and other updates from BFW, directly to your inbox.

Data Science Finance Analyst 1 Description - Job Summary This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data. Responsibilities Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems. Works with the team to mine data using modern tools and programming languages. Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Supports the implementation of models to uncover patterns and predictions creating business value and innovation. Works with the team to create stories with the data using visualization tools/methods. Assures accuracy, integrity, and compliance of cleansed data. Works with project team to understand problem statements, initiatives and directions from business. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Collaborates and communicates with project team regarding project progress and issue resolution. Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports. Education & Experience Recommended BE/MTech/Bachelors or Masters in Mathematics/Statistics Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling. Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Job - Finance Schedule - Full time Shift - No shift premium (India) Travel - Not Specified Relocation - Equal Opportunity Employer (EEO) - Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you d like more information about HP s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law Supplement

As a Senior Analyst - Business Systems, you will be responsible for developing, deploying, and supporting business applications which automate exiting manual process and reporting for the assigned organization(s). Responsibilities: Develop solutions to streamline and automate processes while identifying and addressing technical issues to maximize overall business results for the assigned organization(s). Analyze business processes, identify process deficiencies, research solutions, and plan and coordinate correction of these deficiencies. Consult with various teams within the organization to identify opportunities for automation and process improvement. Design, develop, debug, release, and support new .NET, Robotic Process Automation (RPA), and SQL code as needed to implement identified opportunities. Improve, troubleshoot, maintain, and handle support for existing applications. Support internal teams of the assigned areas to ensure all technology is working correctly and all data is being processed accurately and timely. Maintain all databases and jobs on SQL Server and handle any issues, failures, or modifications that may arise. May produce ad-hoc reporting for assigned teams to get them access to the data needed to maximize business results. Qualifications: Bachelor s Degree IT, Computer Science, Math, MIS or Data Analytics. 4-6 years experience required creating/developing and delivering/implementing software and technology solutions. 4-6 years experience required working with core software applications (examples include .NET, SQL, GIT, Subversion, etc.). Strong working knowledge of Microsoft Excel, Access and other Office software. Strong organization skills. Strong communication and interpersonal skills. Excellent ability to accurately communicate complex concepts in ways that resonate with various audiences. Strong data analysis skills with the ability to use data from various sources to draw insights that inform strategy and prioritization. Strong problem-solving skills and the ability to analyze workflow and processes. Ability to exercise judgment about the most productive course of action. 1 year creating and troubleshooting RPA bots using MS Flows and UI Path. Experience in project management and planning. Experience in distribution industry software implementation. Strong data mining and data analysis. Knowledge of IT design, testing and documentation methods. Ability to travel up to 25%.

Fraud Analyst Payment Integrity Member Investigation Unit The job profile for this position is Fraud Analyst Payment Integrity Member Investigation Unit (MIU), which is a Band 2 Senior Contributor Career Track Role. Excited to grow your career We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Role Summary: As Fraud Analyst within the Member Investigation Unit (MIU) you will be directly supporting Cigna s affordability commitment within Cigna Internationals business. This role is responsible for detecting and recovering fraudulent, waste or abusive (FWA) payments, creating solutions to prevent claims overpayment and future spend monitoring. He/She will work closely with other Payment Integrity (PI) team members, Network, Medical Economics, Data Analytics, Claims Operations, Clinical partners and Product. Responsibilities: Identify and Investigate potential instances of fraud, waste or abuse (FWA) across all Cigna s International Markets books of business for claims incurred. Seek recovery of FWA payments from claim submissions. Ensure savings are tracked and reported accurately. Work in partnership to implement solutions and drive execution to prevent claims overpayment, unnecessary claim spend, and ensure timeliness and accuracy of PI claims review process. Perform data-mining to reveal FWA trends and patterns. Partner with Cigna TPAs on FWA investigations. Partner with Payment Integrity teams in other locations to share FWA claiming schemes. Partner with Data Analytics team in building future FWA triggers automation. Provide investigation reports to internal and external stakeholders. Skills and Requirements: You should enjoy working in a team of high performers, who hold each other accountable to perform to their very best. Experience of fraud investigation within Healthcare or similar discipline strongly desired. Minimum of 2 years of health insurance claims experience or health care provider experience. Knowledge of claims coding, regulatory rules and medical policy. Medical/ paramedical qualification is a definite plus. Critical mind-set with ability to identify cost containment opportunities. Experience with data analytics is a strong asset. Strong attention to detail. Excellent verbal and written communication skills. Flexibility to work with global teams and varying time zones effectively. Confidence to liaise with internal stakeholders. Strong organization skills with the ability to juggle priorities and work under pressure to meet tight deadlines. Experience of full Microsoft suite. Fluency in foreign languages in addition to fluent English is a strong plus. About The Cigna Group

JOB DESCRIPTION Procurement Strategy & Insights Assistant Manager - Packaging , Global Procurement Manager level: WL1D Schedule: Full time Location: India Function: Procurement, Supply Chain Travel: Yes, 10% of time ABOUT PROCUREMENT Part of the Supply Chain s family, Procurement is responsible for over 40 billion of material and services spend globally with more than 50, 000 suppliers. Getting the right services and materials, sustainably sourced and ensuring responsible procurement is critical to ensuring our brands with purpose grow. Our teams work closely with the business to understand brand needs, bring supplier innovation to meet changing consumer needs, and drive financial value for Unilever through competitive buying. We re at the forefront of digital procurement, bringing new tools and analytics to drive data-based decisions. With over 1, 400 employees globally, we support a network of thousands of suppliers and more than 1. 5 million smallholder farmers who in turn support communities of over 7 million people. Po1 Procurement Strategy & Insights: Po1 strategy and insight team directly reports to the Po1 VP and has a dotted line report to the Head of Procurement strategy director. This team is responsible for deploying Strategy and Insight team capabilities into the Po1 team. The Procurement central Insights Team serving as the nerve center of the Unilever global procurement organization. This team is responsible for enabling the procurement organization to design and deliver step-change across value chains, operating processes and tools, and business models. Key responsibilities include: Sensing, incubating, and enabling innovative ideas, new business models, and transformation programs for disruptive value creation across procurement teams. Creating and implementing standardized processes and data-driven decision-making to ease operating effectiveness and drive better and faster outcomes. Developing and enabling procurement strategies with respective network VPs and portfolio and market teams based on strategic insights. Identifying, scaling, and spreading best practices across the global procurement organization, within and across teams. Facilitating rapid learning, capability development, and future-fit upskilling of our people MAIN JOB PURPOSE To be a healthy forward-looking challenger, as well as a partner to the Packaging sourcing team, provoking and bringing new thinking. With the following key activities: Facilitate creation and updating of portfolio strategies and deliver analytics and guidance for negotiations and contracting applying expertise and the newly created playbooks, incorporating best-in-class solutions. Lead the Insights creation from available data , based on a good understanding of the data architecture and guiding the mining process Help define and Rollout strategic transformation programs, such as Price Transparency and ZBB Derive value creation opportunities based on deep Value Chain expertise, Supplier, Competitor and Industry Insights, as well as benchmarking and cost modelling Conduct supply and demand analysis , in collaboration with the portfolio sourcing teams KEY INTERACTIONS The Procurement Strategy & Insights Assistant Manager will interface with the following stakeholders: Head of Global Procurement Strategy & Insights Packaging Procurement Leadership team Packaging Procurement Director & LT Global and Market sourcing teams Procurement Finance Team Head of Supplier Operations, Sourcing Operations and team Key Suppliers and agencies/partners Industry and insights resources KEY ACCOUNTABILITIES Facilitate creation and updating of portfolio strategies, and deliver analytics and guidance for negotiations and contracting applying expertise and the newly created playbooks, incorporating best-in-class solutions Co-leads with the sourcing team the key strategic activities within the portfolio, acting as a challenger, bringing fresh thinking and ideas and balancing historical knowledge Masters the newly created frameworks/playbooks on key procurement skills (Strategy, Negotiation, Contracting), acting as consultant to the portfolio, using the tools to upskill the sourcing team and as enablers for the execution. Lead the Insights creation from available data , based on a good understanding of the data architecture and guiding the mining process Develops the data mining approach, together with the Digital Strategy team, to uncover valuable business insights that can be transformed into actionable plans Analyses data to seek trends, patterns, anomalies, and findings that drive useful business insights Translates data into insights by discovering, creating, testing, and validating hypotheses with the portfolio sourcing teams, communicating the insights and working with the sourcing teams to develop and execute strategies that leverage these insights Helps define and Rolls out strategic transformation programs, such as Price Transparency, ZBB and new ways of working Evaluates the readiness of the Packaging portfolio to implement transformation programs and defines the focus areas. Proceeds with on the ground execution of global initiatives, translating the frameworks into clear guidance and action plans ready for execution, incorporating all the nuances from the Packaging portfolio Expand potential local programs/best practices across the whole Packaging Portfolio Derives value creation opportunities based on a deep Value Chain expertise, Supplier, Competitor and Industry Insights, as well as benchmarking and cost modelling Executes detailed Value Chain analysis to define opportunities to intervene/intermediate at different levels, taking into account all the different Packaging we source Is closely connected with the Markets and Industry boards, acquiring the relevant Intel to identify opportunities and creates technology/Innovation roadmaps based on Mega Trends Masters the Benchmarking tools and through internal and external evaluation draws conclusions to guide the sourcing team to the optimum supply base as well as assets Owns and drives the development of the Cost modelling for the portfolio Conduct supply and demand analysis Drive the supply and demand analysis for the different services across the portfolio Work closely with the sourcing teams, S&I colleagues, and external entities to identify, forecast, and interpret supply- and demand-driven opportunities across the portfolio LEADERSHIP BEHAVIORS Strategic, Systemic Thinking & Entrepreneurial Strong Talent catalyst to bring the best out of people Outstanding problem-solving and analytical skills High Growth mindset & Consumer Love Strong Communication & Influencing skills High Initiative, Quick Learner and Self-Starter SKILLS & EXPERIENCE REQUIRED Over 4 years experience in a procurement, Packaging Sourcing or Development role either in Unilever / FMCG industry or in a large complex organisation with strong portfolio and market expertise Consulting experience in Tier 1 consulting firms would be a plus Strong business and commercial acumen Packaging Industry Knowledge Change management experience of large scale / global transformation programs is preferred Has a good understanding of Agile principles, values, methodologies and practices that enable agility and approaches delivery with an iterative and incremental (test - do learn) approach Ability and drive to work independently and lead diverse teams, across different geographies Experience of working in cross-functional teams within a matrix environment both F2F and virtually Ability to influence senior stakeholders and peers effectively Excellent critical thinking, analytical and story-telling skills in order to respond to multiple market/portfolio specific characteristics and influence change remotely. D&I statement: Equal Opportunity Employer: Unilever is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, gender expression, national origin, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability. Unilever embraces diversity and encourages applicants from all walks of life. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent please verify before proceeding. "

Job Title: Financial Analyst Location: Bennett University, Greater Noida How to Apply: Interested candidates can send their CV to career@bennett.edu.in with the subject line: Post Applied for Financial Analyst. About Bennett University Bennett University, established by the Times Group, is committed to providing world-class education and creating a vibrant ecosystem for academia, research, and innovation. Position Overview We are seeking a detail-oriented and analytical Financial Analyst to join our Finance team. The ideal candidate will be responsible for supporting business decisions through financial analysis, data mining, budgeting, forecasting, and preparing insightful MIS reports. Key Responsibilities Conduct data mining and financial data analysis to support decision-making. Prepare and maintain MIS reports on a regular basis for key stakeholders. Assist in budgeting and forecasting processes across departments. Analyze financial trends and variances, and suggest corrective measures. Ensure accuracy and timeliness in reporting and reconciliation tasks. Collaborate with cross-functional teams for data gathering and reporting needs. Support in developing dashboards and performance metrics.

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, youll create algorithms and conduct statistical analysis. Overall, youll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. Responsibilities Analyze and organize raw data Build data systems and pipelines Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Previous experience as a data engineer or in a similar role Technical expertise with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g. Java and Python) Hands-on experience with SQL database design Degree in Computer Science, IT, or similar field; a Masters is a plus Focus will be on building out our Python ETL processes and writing superb SQL Use agile software development processes to make iterative improvements to our back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Build data pipelines that clean, transform, and aggregate data from disparate sources

Role: Data Analyst / Senior Data Analyst Experience: 7+ years Location: Bangalore/ Pune Responsibilities: Define and obtain source data required to successfully deliver insights and use cases. Determine the data mapping required to join multiple data sets together across multiple sources Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on Propose suitable data migration sets to the relevant stakeholders Assist teams with processing the data migration sets as required Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer Role Requirements: Strong Data Analyst with Financial Services experience. Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Knowledge of one or more of the following domains (including market data vendors): Party/Client Trade Settlements Payments Instrument and pricing Market and/or Credit Risk Demonstrate a continual desire to implement strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions. Working with stakeholders to ensure that negative customer and business impacts are avoided Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio Good understanding of the control requirement surrounding data handling Experience/Skillset Must Have: Excellent analytical skills and commercial acumen. Proficient in Python, Pyspark and SQL. Good understanding of the control requirements surrounding data handling Experience of big data programmes preferable Strong verbal and written communication skills Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines Ability to manage multiple priorities Business analysis skills, defining and understanding requirements Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Can write SQL queries and navigate data bases especially Hive, CMD, Putty, Note++ Enthusiastic and energetic problem solver to join an ambitious team Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle Ability to communicate effectively in a multi-programme environment across a range of stakeholders Attention to detail Good to have: Preferable knowledge and experience in Data Quality & Governance For Spark Scala - should have working experience using scala (preferable) or java for spark For Senior DAs: proven track record of managing small delivery-focussed data teams

Job Title: Lead Generation Executive Job Overview: We are looking for a highly motivated and results-driven Business Development Lead Generation Executive to join our team. In this role, you will be responsible for generating new business leads, qualifying prospects, and supporting the business development process for our products and services. You will leverage various tools, platforms, and strategies to identify potential clients, engage them, and move them through the sales funnel. Key Responsibilities: Lead Generation: Identify and qualify new business opportunities across various industries through research, cold calling, LinkedIn outreach, email campaigns, and other channels. Data Cleansing: Ensure lead databases are accurate and up-to-date by regularly verifying, correcting, and removing duplicate or outdated records. Target Market Research: Conduct research to identify potential prospects and industries, tailoring outreach strategies for different market segments. Market Trend Analysis: Stay informed about industry trends and competitors to better position our offerings and outreach strategies. Requirements: 2 years to 4 years of experience in business development, lead generation, or sales, preferably in IT services or related fields. Experience with lead generation tools and email marketing platforms. Proficiency in LinkedIn for prospecting and outreach. Basic knowledge of Excel for tracking lead data and performance. Self-motivated, results-driven, and able to work independently. Ability to manage time efficiently and prioritize tasks in a fast-paced environment. A team player with the ability to collaborate with cross-functional teams. Preferred Qualifications: Experience with MS Dynamics or custom applications is a plus. Knowledge of email campaign tools. IT background

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Azure Data Engineering. Experience: 3-5 Years.

You will play a crucial role as the Lead Analytics Consultant in the Data and Analytics Services team at Sun Life. Your primary responsibility will be to create innovative visual analytics solutions that facilitate faster and more informed decision-making processes within the organization. Your expertise will be instrumental in advancing strategic analytics projects that cater to the needs of our business stakeholders. To excel in this role, you should have a minimum of 5 years of experience in Tableau development, including designing dashboards and decision enablement tools. Proficiency in Tableau Desktop and Server platforms, as well as SQL Programming and PL/SQL, is essential. You will be required to showcase your skills by developing a diverse range of design use cases that prioritize user experience and working in an agile development environment. Ideally, you should hold a graduate degree in Mathematics, Computer Science, Engineering, or a related field to qualify for this position. Your responsibilities will involve demonstrating visual design expertise, creating complex calculations, and implementing advanced dashboard practices in Tableau. Additionally, you should be adept at data modeling, performance tuning of Tableau Server dashboards, and designing custom landing pages for enhanced user experience. Your ability to work independently, manage engagements with business partners, and extract meaningful insights from data will be key to your success in this role. Possessing additional skills such as Tableau desktop and server certification, experience with R/Python/Matlab/SAS, and exposure to Agile or design-driven development of analytics applications will be advantageous. If you are passionate about leveraging data and analytics to drive meaningful business outcomes, this role will provide you with an exciting opportunity to make a difference in the lives of individuals, families, and communities around the world.,