Senior Data Analyst
- Compensation
- Not disclosed
- Location
- Noida, UP, India
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data analytics
- Posted
Skills
Must have
- ● Experience: 4–7 years of experience in data analytics or financial research, preferably in Mutual Funds, BFSI, or Fintech domain.
- ● Education: Graduate/Postgraduate in Finance, Economics, Statistics, Data Analytics or related fields.
- Technical Skills
- ● Strong command over Excel for data analysis.
- ● Ability to handle and process large volumes of data.
- ● Experience with Power BI/Tableau, SQL, Python is desirable.
- Domain Expertise
- ● Strong knowledge of savings and investment products in India.
- ● Deep understanding of Mutual Funds data and investing concepts.
- ● Ability to interpret and analyze fund performance/portfolio data, industry trends, and investor behavior.
- Soft Skills
- ● Strong analytical thinking and problem-solving ability.
- ● Excellent communication and client interaction skills.
- ● Self-driven, detail-oriented and capable of managing end-to-end analytical projects independently.
- Selection Process
- ● Aptitude Assessment Round
- ● Excel Assessment Round
- ● Operations Round
- ● HR Round (if required)
- Work Schedule & Location
- ● Work from Office: Monday to Friday
- ● Week Off: Saturdays & Sundays fixed Off
Full description
About Value Research
Value Research is the market leader in Mutual Fund Data and Analytics in India. We provide the most accurate and comprehensive data to all major players in the Indian investment ecosystem, from leading AMCs and fintech platforms to regulatory bodies and research institutions. Our reputation for data accuracy, reliability and insight-driven analysis has made us the preferred knowledge partner for many industry initiatives including award methodologies, benchmarking frameworks and research-driven collaborations. As we continue expanding our analytical and advisory capabilities, we are looking for a Senior Data Analyst who can take ownership of high-impact analytical projects and help us further strengthen our position as the knowledge backbone of the Indian Mutual Fund industry.
Role Overview
We are seeking an independent, detail-oriented, and highly analytical Senior Data Analyst to join our Mutual Fund Data team. The ideal candidate will not only manage large-scale financial datasets with precision but will also contribute strategically in designing analytical frameworks, research products and supporting client engagements that require deep industry understanding. This role blends analytical rigor with domain understanding, making it ideal for someone who wants to
go beyond routine analytics and contribute to shaping industry standards.
Key Responsibilities
● Lead analytical projects involving Mutual Fund data — from design to delivery — ensuring insights are accurate, meaningful, and actionable.
● Develop and implement methodologies for industry research / recognitions, and internal analytical frameworks.
● Collaborate with clients to understand business problems, define analytical requirements, and deliver data-backed solutions.
● Perform in-depth data validation to maintain Value Research’s benchmark standards of accuracy and consistency.
● Spot trends and create data led stories/infographics for website or social media.
● Build analytical dashboards and tools for both internal and client use (using Excel, SQL, Python, Power BI, etc.).
● Stay updated with industry trends, regulatory changes, and market developments impacting mutual funds and investment products.
● Mentor junior analysts and contribute to building a robust data culture within the team.
Requirements
● Experience: 4–7 years of experience in data analytics or financial research, preferably in Mutual Funds, BFSI, or Fintech domain.
● Education: Graduate/Postgraduate in Finance, Economics, Statistics, Data Analytics or related fields.