• Own experimentation analytics. Design, monitor and interpret A/B and multivariate tests across Product and Marketing • Partner with Product Managers and Marketing leads to prioritize experiments using frameworks like ICE or PIE • Translate experimental results into business recommendations • Collaborate with engineering to ensure consistent event tracking and instrumentation design • Develop internal experimentation frameworks. Build dbt models and dashboards that automate experiment tracking, power statistical analyses, and improve interpretability. • Mentor analysts: guide the team in best practices for causal inference, power analysis, metric selection, and communicating uncertainty. • Improve data infrastructure: maintain and improve dbt models, metrics definitions, and self-serve data assets. • Develop descriptive reporting dashboards across Product, Merchandising, and other teams • Dive into complex SQL and break down problems • Identify areas of opportunity to move from descriptive to predictive analytics, and ad-hoc to self-serve reporting • Maintain analytics roadmap to prioritize initiatives, communicate timelines, and ensure successful, timely completion of deliverables

Role Description We at Coforge are hiring a Senior IT Finance Analyst (#21762) with the following skill set. - Produce executive-ready financial summary reports and presentations for leadership on monthly and quarterly cadence. - Develop dashboards and recurring reports to provide visibility into IT spend and financial positioning. - Support ad hoc financial analysis for strategic decision-making including vendor consolidation, build vs buy, and license optimization. - Partner with Procurement to ensure accurate coding of IT purchase orders, SOWs, and invoices for correct financial attribution. - Identify and resolve data quality issues in financial systems including cost centers, project codes, and misclassified expenses. - Contribute to improvements in financial governance, demand intake, and control processes. Qualifications - 3–5 years of experience in IT financial analysis, FP&A, or business analysis with financial reporting responsibilities. - Strong ability to translate complex budget data into clear executive-level insights and variance analysis. - Experience in vendor analysis, rate benchmarking, or commercial financial evaluation. - Strong Excel skills including financial modeling, pivot tables, and reporting. - Ability to work across Finance, Procurement, IT, and external vendors. - Strong communication skills with experience presenting financial insights. Requirements - Experience in professional services or consulting environments. - Familiarity with ERP systems such as SAP or ServiceNow. - Experience with financial dashboards using Power BI, Tableau, or similar tools. - Understanding of IT cost structures (CAPEX vs OPEX) and IT project lifecycle. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Reviewing students’ homework assignments on our gamified LMS platform • Answering student questions in chats and on video calls • Conducting mock technical interviews for students • Proposing ideas to enhance our educational process

• Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives. • Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact. • Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency. • Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization. • Translate business requirements into scalable analytical solutions and measurement frameworks. • Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement. • Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner. • Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting. • Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.