Data Analyst

(Data Analyst Corporate Technology Data Engineering & Analytics)- (Full-Time, Hyderabad)
The OpportunityJoin our dynamic team as a Data Analyst Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our data strategy. This role is crucial in driving digital transformation and operational efficiency across financial systems that support Actuarial, FP&A, Reinsurance, Treasury, Accounting and Tax functions and requires a balance of technical expertise, business acumen, and leadership capabilities. You will work cross-functionally to deliver insights, mentor team members, define standards, and collaborate with both onshore and offshore teams to enable high-quality, scalable data solutions.

The TeamYou'll be an integral part of our esteemed Corporate Technology Team, comprised of 6 stacks: Investments, Finance, Risk & Law, HR & Employee Experience (EE), Data Engineering & Analytics and Portfolio, and Strategy. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed.The Impact:•Analyze data related to life insurance operations including policy administration, reinsurance, reserves, and risk to generate actionable insights.•Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation.•Collaborate with business stakeholders to gather requirements, define KPIs, and create reporting solutions aligned to strategic objectives.•Partner with data engineers, architects, and IT to validate datasets, optimize queries, and ensure scalable data pipelines.•Work directly with onshore teams to coordinate analysis, share requirements, and maintain consistent quality and delivery timelines.•Mentor junior analysts by reviewing their work, offering guidance, and promoting professional growth.•Define and implement standards for documentation, analysis, and data governance across the analytics team.•Apply strong data modeling knowledge (star/snowflake schema, normalization, dimensional modeling) to support efficient analysis and reporting.•Help build dashboards, scorecards, and visualizations using Tableau, Power BI, or Strategy to communicate insights to stakeholders.•Ensure data quality and compliance with internal controls and industry regulations.The Minimum Qualifications•Education: Bachelors or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related field.Experience:•7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.•Hands-on experience with Vertica/Teradata for querying, performance optimization, and large-scale data analysis.•Advanced SQL skills: proficiency in Python is a strong plus.•Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.•Experience working in hybrid onshore-offshore team environments.•Deep understanding of data modeling concepts and experience working with relational and dimensional models.•Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.•A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.•Strong understanding of life insurance products and business processes across the policy lifecycle.•Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.•Quantitative Finance: Understanding of financial modeling, risk management, and derivatives.•Regulatory Framework: Awareness of relevant financial regulations and compliance requirements.The Ideal QualificationsTechnical Skills:•Proven track record of Analytical and Problem-Solving skills.•A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting and budgeting•Strong data analysis skills for extracting insights from financial data•Proficiency in data visualization tools and reporting software is also important.•Experience integrating financial systems with actuarial, policy administration, and claims platforms.•Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements.•Experience with General Ledger systems such as SAP and forecasting tools like Anaplan.Soft Skills:•Exceptional communication and interpersonal skills.•Ability to influence and motivate teams without direct authority.•Excellent time management and organizational skills, with the ability to prioritize multiple initiatives.Regular meetings with the Corporate Technology leadership team•Focused one-on-one meetings with your manager•Access to mentorship opportunities•Access to learning content on Degreed and other informational platforms•