Data Management - Analyst
AI in this role
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
We are looking for a Data Management Analyst who will be responsible for transforming data into actionable insights to support business decision-making. The ideal candidate will have hands-on experience with data tools, and the ability to manage stakeholders while driving data-driven strategies.
Key Responsibilities
- Analyze large datasets to identify trends, patterns, and actionable insights
- Design, develop, and maintain dashboards and reports for business stakeholders
- Work with cross-functional teams to understand business requirements and translate them into analytics solutions
- Develop and optimize data models, KPIs, and performance metrics
- Support business planning through forecasting, trend analysis, and performance tracking
- Ensure data accuracy, integrity, and consistency across reports
- Automate repetitive reporting processes using tools and scripts
- Present insights and recommendations to management in a clear and actionable manner
- Mentor junior analysts (if applicable) and ensure best practices in analytics
Growth Opportunities
- Opportunity to lead larger analytics projects and teams
- Exposure to advanced analytics and data science initiatives
- Career progression into Senior Analytics Manager / Data Lead roles
- Bachelor's degree in Engineering, Statistics, Mathematics, Economics, or related field
- 4–7 years of experience in analytics, business intelligence, or data roles
- Strong proficiency in:
- SQL, Python, Pyspark
- Excel (advanced functions, pivot tables, etc.)
- Data visualization tools (Power BI, Tableau, or similar)
- Good understanding of data modeling and ETL processes
- Working knowledge of Python or R for data analysis
- Ability to interpret data and provide business insights
- Experience in Data Intelligence / Business Intelligence environments
- Exposure to cloud platforms (Azure, AWS, or GCP)
- Experience working with large datasets and data warehousing concepts
- Basic understanding of machine learning concepts (optional but desirable)
- Great compensation package and discretionary bonus plan
- Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
- 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
- You will report to Head - Data Intelligence & Batch Operations.
- Role Location: Mumbai
- Experian is an equal opportunities employer
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.
Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
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How we rate this
Data Management - Analyst at Experian rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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