Analyst, Data Analytics and Insights
Fidelity Investments (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 8–16 LPA
Posted 2d ago
Reach people at Fidelity Investments
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Fidelity Investments you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Analyze complex datasets to explain trends and patterns, then recommend actions that inform business decisions.
- Support and lead data analysis projects; work with cross-functional teams to solve business problems.
- Support primary quantitative and qualitative research and secondary research scans to help anticipate client needs and inform strategy.
Minimum Requirements
- Work Experience Required: 2–4 years in data analysis or a similar area.
- Bachelor’s or primary degree in a related field, such as Data Science, Statistics, or Computer Science.
- Proficiency in SQL, Python, or R for data extraction, analysis, and validation; expertise in executive-ready visualizations using PowerPoint, Power BI, or Tableau.
- Fidelity will not provide immigration sponsorship for this position.
Ideal Candidate Profile
- Can translate business questions into testable hypotheses, validate them through experimentation or advanced analytics, and turn findings into practical recommendations.
- Has research-methods familiarity, including research briefs, questionnaire design, sampling, weighting, and hypothesis testing.
- Fits an insights-focused environment combining data analytics, customer research, and AI-driven solutions to anticipate client needs and behavior.