2839 Data Mining Jobs

As a Professor in Business Analytics & Operations at FLAME University, located in Pune, India, you will be responsible for teaching, conducting research, advising students, participating in conferences, and academic administration. Your key responsibilities will include: - Undertaking independent high-quality research and collaborating with existing members to deliver innovation in research and teaching. - Demonstrating a commitment to excellence in teaching by adopting creative pedagogies that foster a conducive learning environment. - Working collaboratively with colleagues in an open and inclusive manner. We are particularly interested in candidates with expertise in the following areas: - Business Analytics: Decision Sciences/Quantitative Techniques, Data Mining, Data Visualization, Business Intelligence, Machine Learning, Artificial Intelligence, Digital Commerce, Big Data Analytics, and Cloud Computing. - Operations: Operations Research, Supply Chain Management, Project Management, Lean Management, Internet of Things, and Industry 4.0. A Ph.D. in any of the listed disciplines is a minimum requirement for this position. FLAME University, known for its liberal education approach, offers a supportive environment for interdisciplinary research and teaching. The FLAME School of Business provides undergraduate, postgraduate, and doctoral programs, emphasizing rigorous interdisciplinary training and intellectual freedom. To apply for this position, please submit your application through the FLAME University portal at https://jobs.flame.edu.in/ with the following documents: - Cover letter - Detailed curriculum vitae - Statement of teaching philosophy - Research statement, including a list of papers in the pipeline - Copies of recent publications - Two letters of recommendation or contact details of two referees Review of applications will begin immediately, and the recruitment process includes a job talk and interviews. FLAME University values talented scholars and offers a competitive salary and benefits package, including housing subsidies, retirement benefits, and conference/research grants. For any inquiries, please contact us at careers@flame.edu.in.,

As an experienced professional with 12-13 years of experience, your role will involve supporting Agile software development by administering tools such as Jira and LeanKit, developing dashboards and reports, and assisting Agile teams in utilizing data for continuous improvement. Your responsibilities will include governance of product delivery tools, analyzing performance data, and delivering insights to Agile teams and leadership. To succeed in this role, you will need to engage in cross-functional collaboration, mentoring, and proactive problem-solving to ensure efficient and transparent Agile delivery. Key Responsibilities: - Administer tools like Jira and LeanKit to support Agile software development - Develop dashboards and reports for data analysis - Assist Agile teams in utilizing data for continuous improvement - Analyze performance data and provide insights to Agile teams and leadership - Engage in cross-functional collaboration with Product Owners, Dev Teams, Architects, and Client Management - Mentor team members and provide guidance on Agile methodologies and practices - Proactively identify dependencies, manage risks, and communicate mitigation plans Qualifications Required: - 10+ years of experience in Software Development and/or Quality Assurance - 5+ years of experience working in an Agile environment - 5+ years of experience in technology project management - 5+ years of experience in a management or leadership role - 2+ years of experience with Agile methodologies (or 6+ years without a degree) - 4+ years hands-on experience with Agile tools and practices (Scrum required) - Strong experience in Jira administration and Agile governance - Proficient in Agile principles and Scrum methodologies - Experience in data mining, scripting, APIs, and SQL - Knowledge of data visualization tools and Agile reporting - Ability to identify dependencies, manage risks, and communicate mitigation plans - Skilled in cross-functional collaboration with various stakeholders - Strong problem-solving and mentoring capabilities About UST: UST is a global digital transformation solutions provider that has been working with leading companies for over 20 years. With a focus on technology, innovation, and agility, UST partners with clients from design to operation to drive real impact through transformation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients" organizations. As a company with over 30,000 employees in 30 countries, UST aims to build for boundless impact and touch billions of lives in the process.,

As a Business Analytics Lead Analyst at Citigroup, you will be a strategic professional contributing to the directional strategy by staying abreast of developments in the field. You will serve as a recognized technical authority, providing advice related to technology or operations of the business. Your developed communication and diplomacy skills will be essential to guide, influence, and convince others, impacting the overall performance and effectiveness of the sub-function/job family. **Key Responsibilities:** - Gather operational data from various cross-functional stakeholders to examine past business performance - Identify data patterns & trends to provide insights for enhancing business decision-making in areas such as business planning, process improvement, and solution assessment - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements - Conduct exploratory data analysis, confirmatory data analysis, and qualitative analysis - Translate data into consumer behavioral insights to drive targeting and segmentation strategies, and effectively communicate findings to business partners and senior leaders - Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies - Appropriately assess risk in business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding Citigroup, its clients, and assets **Qualifications:** - 10+ years of experience - Experience as an Operations Research Analyst, Analytics Manager, Strategic Business Analyst, or similar position involving quantitative analytics in financial services - Proficiency in analyzing large datasets, applying mathematical, statistical, and quantitative analysis techniques for complex analyses and data mining **Education:** - Bachelor's/University degree; Master's degree preferred This job description offers a comprehensive overview of the role's responsibilities and qualifications. Other job-related duties may be assigned as needed. If you are a person with a disability and require a reasonable accommodation to use the search tools or apply for a career opportunity, review the Accessibility at Citi. For further details, refer to Citigroup's EEO Policy Statement and the Know Your Rights poster.,

Responsibilities: * Develop MIS reports, PowerPoint presentations, dashboards & charts * Present data insights through clear visuals * Analyze data, mine for insights, create reports & dashboards Office cab/shuttle

Role Overview: At PwC, you will be part of the tax services team, focusing on providing advice and guidance to clients on tax planning, compliance, and strategy. Specifically in transfer pricing, your role will involve guiding and supporting clients on transfer pricing matters, helping them establish appropriate pricing for transactions between related entities to ensure compliance with tax regulations and minimize disputes. Key Responsibilities: - Provide strategic insights on international taxation and compliance - Guide the team in producing exemplary documentation and analysis - Actively engage in client interactions to understand their needs - Foster talent development and mentorship within the team - Analyze market trends to inform strategic decision-making - Collaborate with clients to uphold compliance with regulations - Maintain exceptional standards of quality in every deliverable - Encourage a culture of innovation and ongoing learning Qualifications Required: - Bachelor's Degree - 5 years of experience - Oral and written proficiency in English required Additional Company Details (if present): When you join PwC Acceleration Centers (ACs), you will step into a pivotal role supporting various services, engaging in challenging projects, and providing distinctive services to clients. As part of the Transfer Pricing team, you will provide strategic insights into international taxation and compliance. As a Manager, you will guide your team in delivering quality documentation and analysis, actively participating in client engagements, and fostering talent development within your team. What Sets You Apart: - 7 to 12 years of experience - Understanding transfer pricing and international taxation principles - Significant review experience in global documentation processes - Conducting benchmarking studies across various regions - Managing financial transaction studies and data mining - Utilizing TP databases and financial transaction databases - Collaborating with global teams and demonstrating interpersonal skills - Identifying opportunities and risks for clients - Actively participating in team management and talent retention,

Role Overview: You are invited to apply for the Technical Program Manager position, where you will play a crucial role in planning, executing, and delivering projects related to a known technology, product, or program. Your responsibilities will include being a Release Train Engineer for a SAFe Agile Train, managing end-to-end delivery of engineering work, negotiating features and priorities, collaborating with engineering managers, and ensuring successful project delivery by resolving blocking issues and managing project communications effectively. Key Responsibilities: - Be a Release Train Engineer for a SAFe Agile Train - Plan, execute, and deliver projects related to a known technology, product, or program - Proactively manage end-to-end delivery of engineering work, ensuring dependencies are covered and blocking issues are resolved - Build and maintain integrated project schedules considering internal/external dependencies, constraints, and contingencies - Collaborate with engineering managers to secure resources, set priorities, and establish delivery milestones - Identify and manage blocking issues, run effective meetings, and ensure clear project communications - Maintain good working relationships with engineers, managers, and peers Qualifications Required: - Bachelor's degree in Project Management, Information Technology, Computer Science, or a comparable field - Up to 5 years of relevant experience in Project Management - Previous experience working on large-scale, multiple scrum team projects - Experience with agile project management methodology preferred - Advanced communication skills including writing, listening, and verbal - Strong leadership skills with a track record of building and maintaining relationships - Proficiency in PowerPoint, Excel, Word, Jira, and Rally Tools Note: The company is building a sustainable world that unlocks priceless possibilities for all.,

Role Overview: You will be responsible for developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sectors. Additionally, you will handle project management, client management, and support business development and new analytics solution development activities. Key Responsibilities: - Develop Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector - Manage projects effectively - Build and maintain relationships with clients - Contribute to business development and new analytics solution development - Utilize statistical modeling techniques such as Logistic Regression, Linear Regression, GLM Modeling, Time-Series Forecasting, and Scorecard Development - Use Statistics tools like SAS, Python, and R - Experience in Tableau and Qlikview would be advantageous - Apply data mining techniques such as Clustering and Segmentation - Knowledge of machine learning and Python would be beneficial Qualifications Required: - Hold a B Tech degree from a top-tier engineering school or a Masters in Statistics/Economics from a reputed university - Possess a minimum of 6 years of relevant experience, with at least 1 year of managerial experience for the Senior Consultant position - Minimum experience required is 1 year for Associate Consultant and 3 years for Consultant roles Additional Company Details: EY is committed to creating an inclusive working environment and offers flexible working arrangements to help you achieve a work-life balance. The company values collaboration, problem-solving skills, and delivering practical solutions to complex issues. EY believes in providing training, opportunities, and creative freedom to its employees, with a focus on building a better working world.,

This position is part of the Analytical Solutions team that executes custom analysis and data delivery projects for comScore’s external clients and supports certain internal data feeds. This team is located within comScore’s product organization and is focused mainly on transforming comScore’s national and local television usage data into custom data feeds for clients. In this role, the Data Scientist will utilize their skills and knowledge in statistics and media research, working closely with other members of the Analytical Solutions and CMS Custom Analytics teams, and with internal and external clients, to develop and maintain value-added solutions. What You'll Do: Effectively handle large data files in the course of developing and implementing solutions Precisely execute multiple analytic projects, each involving a great number of steps and analytic decisions Concisely summarize real-world implications of findings from custom projects and the value proposition of real-world offerings Interpret results, present findings and recommend alternative solutions to software and business decision makers Translate statistical modeling results into measures of business impact Interface with clients to aid in the qualification of custom analytical solutions Manage expectations and coordinate project delivery with internal team Play a key role in the development and adaptation of statistical methodologies, including traditional media research methodologies, for the development, maintenance and improvement of data products Develop statistical tools to facilitate and improve data regression, manipulation, and analysis Test and measure the effectiveness of new statistical approaches and process improvements Assist Custom Solutions team in new product development. Execute prototyping of new product ideas Manage analytic projects What You'll Need: 2- 4 years related experience in traditional, direct, or digital media research; understand traditional (TV) media math and targeting concepts Ph.D. or Masters (M.S.) in Statistics, Decision Sciences, Economics, Physics, Systems Engineering, or Mathematics preferred Highly competent in quantitative and qualitative analysis, regression, data manipulation, and critical thinking. Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities Ability to distill large amounts of information into key findings Excellent written, verbal, and presentation skills and an ability to explain complex systems Extensive background in data mining applications, including proven programming and debugging ability in SAS, R, Python or similar language. Experience analyzing person-level or household-level marketing data and efficiently handling large data files Extensive experience with relational DB data access including writing and debugging SQL Proficient in navigating and scripting on *NIX systems Experience with wide range of market research methodologies within and beyond media measurement: regression, time series, SEM, marketing mix, Bayesian methods Experience with experimental design, hypothesis testing, power calculations for statistical tests About Comscore: At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. C omscore is committed to creating an inclusive culture, encouraging diversity. *LI-JL1

Location - Chennai NP - Immediate Exp - 3 years to 8 Years Mandatory Skills - AI, ML, Python, Data Scientist Walk in Drive 18th Sep 2025 at Chennai(In Personal only) Shift Timing: 11 AM – 8 PM (Monday to Friday) Contact - 7976457434

SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose RSM in Distribution Sales is responsible for sales of various SBI Card products in an assigned geography through one or more of the channels available (Open Market, Cobrand, Tele Sales, Digital and LG). The geography consists of group of cities/state and is managed through a large team of NFTEs being led by ASMs manning all distribution points available or the call center engaged in working on leads originating from various digital journeys. The team span under this role would be a group of ASMs and extended team of NFTEs comprising of Relationship Executives (RE), Team Leaders/Relationship Managers (TLs/RMs), Unit Managers and Back-end team. This role can be a first step into people leader roles and naturally becomes a controller of business growth, channel relationship manager and a trainer to onboard and prepare a strong team of front-line sales managers of SBI Cards. The role also doubles up as a vice captain to the head of zone (ZSM) when required. Role Accountability MOU Achievement Deliver new accounts Responsible for sales of Premium Cards with segmented focus to build up portfolio Cross-sell of various Insurance products Managing the cost of acquisition target, review absolute cost across heads, increase people productivity for optimal cost utilization Effectively coordinate with WE teams/PSA leads on NFTE hiring and monitor related attrition of people at all legs of the NFTE lifecycle Drive full digital journey penetration in sourcing including digital KYC Close monitoring of Sourcing Mix, Right product to be sold as per business directives Responsible for driving a team of FTEs to achieve their KRAs Sales Distribution Point Management - Organized, Unorganized Drive manning of all available Point of Sales Distribution points across formats of Organized Retail in Open Market, Cobrand Ecosystem Quality of man power (grooming standards) has to be as per the requirement of the Point of Sale Ensure diligent daily visit report (DVR) upload by ASMs in system; better engagement with NFTE Regular Visits to meet Cobrand Partners across products to improvise partner alignment to boost sales Extensive travel to locations, distribution points- identify new sourcing avenues in all formats of F2F sourcing under organized and unorganized channels Review high cost, low productivity paid distribution points; evaluate timely closure to save cost Have a BCP always ready for high dependent distribution points, to avoid business interruption in case of any issues Tele Sales Centers RSM managing a call center has prime responsibility to operate at high productivity, up-stream operational efficiency and high customer satisfaction Need to ensure right allocation happens which involves allocating leads basis campaigns, product, headcount available, Re-churn logic for maximized output Data allocation happens on Dialer (predictive, preview) and manual dials Capture correct disposition of all consented leads routed to call centers - derive in in-line strategy for high productivity Drive higher efficiencies on Sprint Leads- Assisted, Good Cost Save opportunity Build strong analytical engine in respective centers, adequate data mining will help in high yield at an agent level Pace up fulfillment of within TAT, manage non caf locations doc executives with strong dedicated lead coordination team Regular training interventions to be done, this will help zero mis-selling by the agent - building customer trust on the phones is critical Ensure all company requirements, policies and processes are adhered as per satisfaction in both formats of Non F2F channels of Tele Sales & LG Maintain high standards of Governance Model in the centers to ensure no lapses on companys policies & procedures LG Management Fulfillment to be prioritized within TAT via E-VKYC, helps the partner get confidence & high trust Liase with LG RMs for enhancing productivity and output from all LGs Operations Full blown backend processes are being run, helps manage quality of applications at dispatch, productivity of the shop gets reviewed at all levels Regular meetings, communications being sent on relevant changes to avoid wastage in the funnel at all levels Supervision Inflow, Processing, & Dispatch of Applications Drive premium upsell from all backend shops to meet premium & 3k/5k targets Closely track inward rates of all customer segments, strengthen PRA in individual pockets for high standards process controls in the complete Sales Funnel Liaison with Ops team for Capturing & processing of Applications Supervision on RTB level by ensuring the team is reviewed consistently Inculcate the habit in team members to regularly analyse the declines & restart opportunities that exists Manage fulfilment team of Lead Coordinators, Doc boys for all Non-CAF locations for desired output Handholding & grooming new ASMs; Maximize the delivery from the team through effective Planning, Monitoring, Giving Feedback and regular performance review Team Management Motivating ASM s to achieve their goals along with imparting adequate process and product knowledge Monitoring NFTE teams performance & getting desired productivity Encouraging competition & Higher Goal Setting. Facilitating the same through Training, Coaching & leading by example Exhibit strong team work and boundary less behavior while working with cross-functional teams Driving team connect/review & training with regular and extensive travel in a widespread territory Educating Team of Company Policies, Compliance Guidelines, DOs & DONTs on Regular Intervals Manpower Planning & PSA Management Assessment of adequate manpower considering as per plan with the right mix of Sourcing/Non-Sourcing Engaging with the PSA and WE team spocs for continuous hiring process Ensuring a positive environment is built in all location PSA offices to ensure the attrition levels are in check and teams perform to the desired levels of productivity Management of Expenses of PSA Offices through coordination with PSA & WE Department Validation of Cost & Ensuring Timely Payments Post Approvals Reimbursement Management & Incentive Validation of NFTEs Training Management of trainers in Coordination with Area training Managers Ensure Regular NHOs/Refreshers & Product based Training for increasing Productivity Driving Key Initiatives & Projects of the Company Digital Sourcing - Driving team to adopt all New Digital Initiatives of the company by ensuring quick transition of extended sales teams by facilitating adequate trainings RE Digital Sourcing, key initiative being driven by all RSMs - helps with instant approval, reduces cost Regular identification of cost saves opportunities and action, review consolidation for optimized cost benefit output Adherence to Compliance To ensure teams and processes comply with all regulatory and business compliance policies rolled out by WE and Compliance teams Measures of Success Achievement Of MOU Goals New Accounts Premium Accounts Insurance Cross-Sell COA 4MOB Attrition % Digital Sourcing Team target achievement % of ASMs achieving their goals % Conversion Of leads Inward to Soft approved % of all channels Stake Holder Management Close collaboration with WE, Operations, FCU, IT & Marketing teams VOC From Partners across formats of operations Complaints resolution Effective complaint channelizing and resolution on escalations, ensure all complaints are addressed as per agreed SLA/TAT Compliance Ensure sales compliance guidelines @ PSA level are adhered to Competencies critical to the role Sales Management, Team Handling, Relationship Management, Analytical skills Qualification Graduate/PG (Preferably) from any recognized and reputed institute Preferred Industry BFSI/Telecom/Any retail sales FMCG, CD etc.

Build an end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign Look for opportunities to build solutions that would differentiate MiQ from competitors by researching cutting edge AI techniques and technologies Focus on ML/AI solutions that scale - from tech as well as functional point of view Bring innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc. Who are your stakeholders The Data Scientist s internal customers / stakeholders include: Account Managers / Traders / Sales / Analysts: The Data Scientist builds solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and The data scientist usually does not directly collaborate with these customers and the market requirements and solution feedback is through Product Management team Product Management: The Data Scientist builds solutions prioritized as part of the Product roadmap What you ll bring Experience in applying machine learning, statistical pattern recognition, and data mining algorithms to predict Strong Experience with at-least one programming language - g. Java, Python, R Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Write optimized and advanced SQL queries to extract, transform, and analyze large datasets Translate mathematical concepts (linear algebra, probability, optimization) into practical model implementations Extreme attention to detail, ability to meet deadlines and priorities Strong written and verbal communication skills A can-do attitude, with a dream to grow alongside Benefits A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion

What We're Looking For Bachelors degree in Data Science, Analytics, Healthcare Management, or a related field or Fresher from Tier 1 college ( recent Passouts) Proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) Strong analytical and problem-solving skills Knowledge of healthcare workflows and basic understanding of medical terminologies Excellent communication and collaboration abilities Responsibilities Collect, clean, and analyze healthcare operations data (e.g., patient records, and workflow metrics) Generate reports and dashboards to track key performance indicators (KPIs) Identify trends and inefficiencies in operational processes ?Assist in forecasting and planning for resource allocation ?Ensure compliance with data privacy regulations (e.g., HIPAA) Collaborate with teams to implement data-driven solutions

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. The Global Risk Compliance (GRC) group within American Express is responsible for providing oversight and governance of risks to ensure that the company operates in a safe and sound manner within regulatory expectations. In a world increasingly subject to digitalization and the use of technology, technology risk management has become increasingly significant across organizations, becoming one of the key themes at board meetings. Cyberattacks have become increasingly commonplace and the trend continues to move upward. This individual contributor role is part of the second line technology risk management team within the GRC group, headed by the Chief Risk Officer (CRO) of the company. This is a unique opportunity to work with a team of diverse and talented professionals who are responsible for building the technology risk management program and providing independent risk oversight to the Information Technology (IT), Information Security (IS) and Business Continuity management (BCM) risks. Reporting to the Manager for Cybersecurity, Technology, and Resiliency Risk oversight, this position is responsible for supporting independent assessments and reporting of risks. The risks identified by this team are reported to the Senior Management, Risk Management Committees, Board of Directors, and Regulators. This position will be responsible for effectively collaborating with key stakeholders across lines of business and lines of defense to ensure risks are managed effectively and efficiently in accordance with the company policies and applicable regulatory requirements. Essential Job Functions: Assist in identifying and assessing IT and IS risks across applications, infrastructure, and third-party vendors. Support IT and IS risk assessments and recommend mitigation strategies. Monitor IT and IS risk trends and emerging threats to provide proactive recommendations. Assist in the testing and validation of IT and IS controls. Prepare IT and IS risk reports and dashboards for management review. Support internal and external audits related to IT and IS risk. Support the implementation of IT and IS risk management frameworks, policies, standards, and procedures. Maintain IT and IS risk registers and track remediation efforts for identified risks. Support independent, proactive risk management and oversight of information technology, information security and business continuity management risks generated within business processes or that occur due to use of Technology. Support data-driven reviews focused on technology, cyber security, and business continuity management risks. Support development and enhancement of data-driven key risk indicators and key performance indicators that provide real time and meaningful insights into the risk and performance trends. Stay knowledgeable of relevant regulations, guidelines industry standards. Support the design of independent Information Technology risk oversight program which defines the engagement and integration with various risk management programs, including Risk and Control Self Assessments, Business Continuity Management, New Product Approval, Mergers Acquisitions etc. Required Qualifications: Bachelor s Degree in related field. 3 + years of experience in IT and IS risk management across any of the three lines of defense. Proven ability to identify risks, analyze issues and derive meaningful insights about risk trends. by conducting interviews and analyzing large volumes of data. Excellent analytical skills with high attention to detail and accuracy. Excellent critical thinking and problem-solving skills. Excellent verbal, written and interpersonal communication skills. Willingness to challenge traditional thinking by actively engaging in constructive dialogue. Preferred: Educational background: Computer Science or Information Systems. Experience in risk management across cyber security, information technology, third party, business continuity management. Working knowledge of one or more of the data mining tools/technologies (e.g., Microsoft Excel: Pivot Tables SQL, SAS, Python, R). Industry certifications (e.g., CISSP, CISM, CISA, CRISC, ITIL, CBCM, CBCP, CBCI). Understanding of risk assessment methodologies, frameworks, and industry standards (e.g., COSO, COBIT, ISO 27001, ISO/IEC 20000-1, ISO 22301, FAIR or NIST RMF). Knowledge of relevant policies regulations (e.g., OCC Heightened Standards, FFIEC IT booklets). Experience with Governance, Risk and Compliance tools (e.g., Archer).

Lowe s India, the Global Capability Center of Lowe s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About Team: This team is focused on building the business and running the business by providing the vendors a world class on-boarding experience and supporting them throughout their partnership by managing their information, contracts, policies and also enabling them with their sales and inventory data. Job Summary: The Vendor Performance Analyst role focuses on driving medium-to-long-term improvements within Vendor Performance. Functions of the role include generating vendor data analysis, driving Supplier On-time and Fill Rate performance, processing monthly vendor scorecards and chargebacks, managing vendor inquiries, and building relationships with vendors and other key cross-functional stakeholders within Lowe s. The successful candidate will be an individual who can identify and support strategic improvement initiatives for vendor compliance performance while being able to dive deep into areas of opportunity and develop solutions and processes towards improvements. Roles Responsibilities: Core Responsibilities: Execute the vendor chargeback process and manage vendor inquiries regarding the same. Proactively analyze vendor data and identify and address issues Liaise between Supply Chain, Operations, Accounting, and Merchandising teams to resolve vendor issues quickly Partners with Merchandising, Supply Chain Planning and Replenishment to improve vendor performance and provide teams with data and metrics to ensure vendor performance is considered in business decisions (i.e. Product Line Reviews) Prepares management level reports and handles a category to improve OTIF performance. Support (Sr.) Analyst with data reporting Assist with developing process improvement recommendations and help to manage end-to-end implementation. Assist with vendor management training materials and facilitate sessions as needed. Coordinate, minute, and document monthly vendor performance feedback Years of Experience: Bachelor s Degree; Business or Related Field plus 2+ years relevant experience Education Qualification Certifications (optional) Required Minimum Qualifications : Bachelors degree BBA, BCom, Operations Research or Related Field Skill Set Required Primary Skills (must have) Experience with data analysis and providing insights about the data. Experience working with Excel and other data/reporting tools. Excellent writing and communication skills, including the ability to develop analytical documents for presentation to management. Excellent problem-solving and time-management skills Secondary Skills (desired) Experience in Data mining and visualization tool such as Power BI, SQL, MS Access, VBA Advance Excel

Team: ServiceNow Project RaptorDB, based on Postgres, the worlds most advanced open source database, acts as a foundational data layer that allows ServiceNow customers to process massive volumes of transactional data on the Now Platform in real time to meet the demands of AI powered applications and business critical workflows. It adds analytical capabilities to meet advanced reporting and data mining needs. This team is building the very core of RaptorDB and even the smallest optimization can have a dramatic impact on our customers and our bottom line. We are looking for an experienced developer with C/C++ knowledge who wants to contribute heavily to building the very core of our ServiceNow database. You will work directly with other engineers on the Data Platform team solving challenging problems in scaling and querying large data sets efficiently both vertically and horizontally. Our work is based on Postgres with significant in-house enhancements and unique features. This is your opportunity to contribute to cutting edge database software used at massive scale. What you get to do in this role: You ll collaborate with 3 teams of 20+ dedicated database-internals engineers. Be part of building the next-gen database platform using and contributing to the latest open-source technologies Analyze storage/memory/compute performance and scalability bottlenecks in the system and build targeted software solutions Develop complex and creative solutions with quality modern C/C++ code and a highly automated build and test infrastructure Improve reliability and observability by designing and building self-diagnostic and self-healing system capabilities Learn state-of-the-art development practices for performance, reliability and error prevention Partner with core and cross-functional teams to create the next-generation database engine powering ServiceNow To be successful in this role you have: In depth knowledge of computer and general systems architecture (threads, networking, kernel, etc) Excellent skills in object-oriented programming combined with some C/C++ and SQL knowledge Experience in test-driven development Solid understanding and experience with agile software development methodologies and working in a large, ambitious team Ability to handle multiple competing priorities in a fast-paced environment Skill to manage your own complex tasks, know when to synchronize and re-align with the team, and lead more junior team members working with you Strong problem-solving and analytical skills and the ability to communicate them effectively in design documents and architect-level discussions An aptitude for learning new technologies and an itch to code Experience working with at least one of OS kernel, memory manager, multi-threaded software modules, or distributed systems Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry. Qualifications 9+ years of experience developing professional software Experience with deep knowledge in one of operating systems, complex layered software products or database systems Proven track record of delivering sub-modules or software features end-to-end Ability to handle multiple competing priorities in a fast-paced environment Knowledge of C/C++ and SQL Not a core requirement but highly beneficial: Any experience developing the internals of relational, analytical, or graph databases Experience working with relational databases, especially MariaDB and/or Postgres Experience working with analytical or graph databases Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have.

Associate Business Data Analyst (Metrics Analytics) Bangalore, Karnataka, India Play Video Job Info Why First Advantage Apply Position Summary This position entails data mining, production of reports, preparation of dashboards and associated analytics for the process/ LOB s related KRA s. Identify and support automation projects in organization. Responsibilities Develop and standardize the dashboard MIS for function Support business with on-demand data extracts, validations, and consistency checks Identify and communicate data quality improvement potentials Deliver consolidation of reports and dashboards and approach to standardization Managing access and data refresh of the reports Analyze business information to identify process improvements for increasing business efficiency and effectiveness. Automate and simplify various reporting trackers. Create visualizations and innovative dashboards using relevant Tools. Work effectively within a team environment and represent the team at meetings and briefings for the purposes of information gathering for current future projects . Job Qualifications Education: 10+2 or equivalent (minimum requirement) Experience: 3+ years of experience. Other Knowledge, Skills, Abilities or Certifications: Requirements: Advanced Excel Working on formulas, Pivot table, Power Point and Power Pivots, Power Queries etc. Hands On Experience on various BI Tools along with VBA (preferably PowerBI) Various chart preparations like Pie, Bar, Column etc. Willingness to Learn and Can-Do Attitude Good Communication Skills Stakeholder Engagement Result Oriented approach to activities/ jobs assigned Good Knowledge of MS Office Great Team Player Preferences: SQL experience

Operations teams develop and manage innovative, secure service solutions to meet clients needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience. As a Data Analyst within the Strategy, Innovation Governance Data team in the Payments Operations organization, you will work to provide data insights, visualizations, and metrics dashboards. You will analyze business requirements, design, build, test, and produce data insights and operational reporting to support management decisions. You will collaborate closely with Product Owners and Operations to develop requirements and implement new capabilities, ensuring team standards are adhered to while proactively engaging in continuous process improvement. Job responsibilities Perform data mining, analytics, and problem solving Analyzing business requirements, designing, building and testing to ensure the delivery of high-quality data insights and visualizations. Work closely with Product Owners and Operations to develop requirements and implement new capabilities - Understanding of the data sources to use and ensure team standards are adhered to - Proactively engage to mitigate risk through continuous process improvement, root cause analysis, and collaboration with Operations teams - Work as part of an agile team - Continuous learning as new tools/technology become available to the team Required qualifications, capabilities and skills Bachelors or Master s degree in a quantitative field or an equivalent combination of education and/or business experience. 7+ Years of experience in business system analysis or business application design and development role 5+ Years of experience with SQL, Python, Alteryx or another programming language in a work-related capacity is required Advance knowledge of Microsoft Office products Extensive knowledge of database design and relational database principles, prior experience with large scale data warehouse. Working knowledge with Business Intelligence tools (Tableau, Business Objects). Agile experience or experience of Software Development Life Cycle (SDLC) Polished written and verbal communication skills; confidence in communicating internally at all levels; demonstrated ability to clearly define and articulate business requirements, and to bridge the gap between business and technology, ability to summarize findings into concise high-level points geared towards the audience and visually depict key data and findings Proactive, self-motivated and flexible with a positive attitude; efficient at multi-tasking and able to work independently under pressure to deliver business demands on-time, to a high-level standard Excellent analytical/problem-solving skills with the ability to provide sound recommendations to management Preferred qualifications, capabilities and skills Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis Experience with writing code using Excel/Alteryx and SQL and perform statistical description Experience with Tableau Proven strong analytical and communication skills Aptitude and curiosity for developing automated solutions to solve business problems Good understanding of operations within banking industry; preferably with knowledge of payment processing.

" , "showSalaryRange":false , "description":" The cn the progress of our lead generation initiatives. Driving our lead generation campaigns GJob Title: Senior Manager - Lead GenerationLocation: Noida 68Job Type: Full-timeKey Responsibilities:Develop and execute lead generation strategies using different tools.Leverage data mining to identify new leads and build accurate prospect lists.Lead and mentor a team of lead generation, optimizing performance and processes.Manage and analyze lead generation campaigns, ensuring high-quality leads are generated and passed to sales teams.Collaborate with sales and marketing teams to align lead generation efforts with overall business objectives.Provide insights and reports on lead generation performance to senior leadership. Must-Have Skills:7-8 years of experience in lead generation and prospecting with a focus on B2B environments.Expertise in Apollo, Lusha, Zoom Info, Rocket Reach, LinkedIn, and Sales Navigator and others tools for lead sourcing.Strong data mining and lead prospecting skills.Proven experience leading and managing a team.Strong analytical skills with a focus on campaign optimization.Experience with CRM systems (e.g., Salesforce/ LinkedIn) and reporting tools. ","descriptionHTML":" The cn the progress of our lead generation initiatives. Driving our lead generation campaigns G Job Title: Senior Manager - Lead Generation Location: Noida 68 Job Type: Full-time Key Responsibilities: Develop and execute lead generation strategies using different tools. Leverage data mining to identify new leads and build accurate prospect lists. Lead and mentor a team of lead generation, optimizing performance and processes. Manage and analyze lead generation campaigns, ensuring high-quality leads are generated and passed to sales teams. Collaborate with sales and marketing teams to align lead generation efforts with overall business objectives. Provide insights and reports on lead generation performance to senior leadership. Must-Have Skills: 7-8 years of experience in lead generation and prospecting with a focus on B2B environments. Expertise in Apollo , Lusha , Zoom Info , Rocket Reach , LinkedIn , and Sales Navigator and others tools for lead sourcing. Strong data mining and lead prospecting skills. Proven experience leading and managing a team. Strong analytical skills with a focus on campaign optimization. Experience with CRM systems (e.g., Salesforce/ LinkedIn ) and reporting tools. ","

AIonOS is looking for ML Engineering Internship to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

As a Data Analyst, you will be responsible for transforming complex data sets into meaningful insights and actionable recommendations for our clients. You will work closely with our team to develop data-driven strategies and help our clients to make informed decisions. Your role will involve data cleaning, data analysis, and data visualization, as well as collaborating with cross-functional teams to identify and solve business problems. In addition to your technical skills, you should be a creative thinker, have effective communication skills, and be comfortable working in a fast-paced and dynamic environment. Requirements: (0-1 year of experience) Graduated in Computer Science or related field. 0-1 year of experience as a Data Analyst or similar role Basic knowledge of business intelligence tool (preferably Power BI) Basic awareness of data management tools (Preferably SQL). Hands on experience on advanced excel. Strong attention to detail and ability to work in a fast-paced environment. Head office based in London, UK, with the role located in Gurugram, India Company Values: At Uptitude, we embrace a set of core values that guide our work and define our culture. As a Data Analyst, you should align with these values: Be Awesome: Strive for excellence in everything you do, continuously improving your skills and delivering exceptional results. Step Up: Take ownership of challenges, be proactive, and seek opportunities to contribute beyond your role. Make a Difference: Embrace innovation, think creatively, and contribute to the success of our clients and the company. Have Fun: Foster a positive and enjoyable work environment, celebrating achievements and building strong relationships. Benefits: Uptitude values its employees and offers a competitive benefits package, including: Competitive salary commensurate with experience and qualifications. Private health insurance coverage. Offsite trips to encourage team building and knowledge sharing.

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

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. You will design, develop and implement data science strategies that drive measurable business results. You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. You will use quality metrics to select machine learning models that will be deployed in the production environment. You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization. You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). You will work with CD4ML practices and data versioning tools. Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. You ensure compliance with data privacy regulations and ethical standards when handling sensitive information. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed. You are a proven leader with a track record of encouraging teammates in their professional development and relationships. Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

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

Job Purpose As a Business Analyst for Repository and Confirmation Services, you will be responsible for drafting business and functional requirements for system solutions that span compliance and regulatory reporting, trade confirmation, trade repositories, and digital workflow automation. The Business Analyst will coordinate the translation of business/product requirements to system requirements including functional specifications, use cases and logical flow modeling. Serving as the requirements author for a software development team, the Business Analyst produces requirements and analysis artifacts that are designed for consumption by engineering and ensures the accuracy of the implementation against the product requirements. The Business Analyst proactively identifies and addresses business questions with results driven analytics and innovative solutions. Responsibilities Work independently and productively to create quality documentation and original content resource material for intellectual property development. Collect product requirements input directly from operations, technology, business development, and sales, frame this input into the capabilities of ICE's system architecture and software offering, and translate into firm development requirements following company software processes and standards Gather and create documentation regarding content on new system functionality Work with the project team and stakeholders to fully document functional requirements and quality attributes of existing and new features of the system Develop requirements and analysis artifacts including use-cases, activity diagrams, user-interface schematics, business rules, technical specifications, process flows, and API documentation Extract and analyze data using a number of tools (SQL, Excel, Tableau, etc.) Gather data and perform analysis in a timely manner and verify the accuracy of results Lead the model definition process, serving as a business analyst to collect and analyze data for use in analytical models. Assist Project Management with prioritization and tracking the implementation of system requirements. Demonstrate excellent interpersonal and communication skills thereby establishing and managing relationships at all levels with business and IT subject matter experts, as well as internal and external stakeholders Assist Operations with incident resolution. Adhere to company cybersecurity policies, and protect confidential customer information and the companys intellectual property Study new technology and remain technically current Knowledge and Experience Bachelors Degree in Economics, Finance, Mathematics, MIS, or related discipline 5+ years software product development, business analysis, quality assurance, or related experience Proven organizational skills with strong commitment to customer service and product delivery Must possess excellent written and oral communication skills Technical and functional business writing skills required Detail-oriented with demonstrated ability to write unambiguous requirements that do not imply design Ability to effectively facilitate requirements gathering sessions, reviews and issue resolution involving multiple stakeholders Demonstrates strong technical aptitude and understanding of how technologies impact delivery Must be results-oriented and self-motivated Must possess a good working knowledge of software testing and building high quality software Must be proficient in the use of Microsoft Office (Word, Excel, PowerPoint, and Visio) with strong Word and Excel skills required. Ability to proactively identify, report, and attack risks to project delivery using principles of iterative management Continually seeks to reduce costs and time to market; suggests and shares innovative ideas that have practical application, especially regarding system performance and functionality Ability to execute and refine database queries for data analysis Ability to work effectively in a fast-paced, sometimes stressful environment Ability to be adaptable to changes in priority and direction, while also enforcing change control procedures to ensure requirements changes aren't ad hoc, and are realized by the release team and stakeholders Understanding of basic statistical and data mining approaches and terms a plus Experience with banking, trading, clearing, or related industry a plus, with preference to experience in derivatives and derivatives products Experience working on systems with high transaction volume management a plus Experience with software testing tools, regression testing, performance testing, a plus

About The Role Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Talent & HR analytics practice in Accenture BPO provides analytical services to large number of Accenture clients across industries. Its analytical solution portfolio covers entire span of employee life cycle through offerings defined as Talent Acquisition, Talent Development, Workforce Engagement and Retention and Employee services.The team in Talent & HR analytics provides analytical solutions like Employer value proposition Talent demand forecast and workforce planning High performer profiling New hire prediction Talent development needs segmentation Employee engagement Attrition analytics, etcProficient in various statistical and machine learning techniques like forecasting, segmentation using different types of data, prediction modeling, structural equation modelling, random forest, SVM using Python, SAS, R, LISREL etc.The team is a blend of domain experts, statisticians and programmers who are engaged with clients to solve HR business problems and also develop assets through innovation. What are we looking for? Hands on experience in analytics and data mining with large databases and survey data Should have worked on building advanced analytics statistical models in the Talent & HR / Marketing Analytics area Strong Analytics experience (descriptive and advanced machine learning, forecasting) 10+ years Proficient in Python/ R and SAS 6-8 years of experience of leading multiple client engagement Project management experience Good client communications (verbal and written) Experience of working with offshore teams Managed a team of at least 5 members in the last 5 years Roles and Responsibilities: As a member of core Talent & HR Team be the trusted advisor to internal and external clients Ensure insight driven Talent and HR problem solutioning and drive business outcome indicators Lead multiple client engagements to grow a portfolio of accounts aligning to Talent & HR goals and objectives Drive delivery excellence, innovation agenda and next generation analytics to cross-sell and up-sell Talent & HR analytics solution portfolio Lead and groom a pool of domain, statistical and programmer analysts and responsible for people metrics Proven leader with an ability to resolve conflicts Strong attention to detail and establishes strong quality measures Define and prioritize potential initiatives to address talent and capability gaps Qualification Any Graduation