Market Data Analyst
New
Based in India, 11:00 AM – 8:00 PM ISTFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5–7 years
- Required Skills
- PythonSQLData AnalysisJira
Requirements
- 5–7 years of experience in the financial services industry with strong exposure to equities data, market data, fundamentals, estimates, or related datasets
- Proven experience designing, implementing, and managing quality assurance processes for financial data environments
- Strong understanding of corporate actions, including dividends, stock splits, earnings events, and their impact on financial datasets
- Experience working with leading financial data providers such as Bloomberg, FactSet, S&P Global, or similar platforms
- Familiarity with data feeds, APIs, and data integration processes within financial systems
- Working knowledge of SQL for data analysis, validation, and investigation purposes
- Python scripting or data transformation experience is considered a strong advantage
- Understanding of quantitative finance concepts, financial modeling, or systematic investment methodologies is beneficial
- Experience working with project management and issue-tracking tools such as JIRA
- Excellent analytical, problem-solving, and organizational skills with the ability to manage multiple priorities independently
- Strong communication skills and fluency in English, both written and verbal
- Ability to balance strategic thinking with meticulous attention to detail when handling complex data challenges
Responsibilities
- Design, implement, and continuously improve quality assurance methodologies for financial and market data to ensure the highest levels of accuracy and integrity
- Conduct systematic quality checks across multiple data sources and vendors, identifying inconsistencies and resolving complex data issues
- Investigate and support escalated financial data inquiries involving stock performance, historical fundamentals, earnings, corporate actions, financial ratios, and market metrics
- Build, maintain, and optimize data validation workflows and processes that support scalable and reliable data operations
- Collaborate closely with product management and engineering teams to prioritize, track, and resolve data-related issues through structured project workflows
- Analyze corporate actions such as dividends, stock splits, earnings events, and other market activities to ensure accurate representation across datasets
- Drive data-focused projects independently, ensuring timely execution and delivery of solutions that improve platform reliability and user experience
- Explore new data opportunities, vendor integrations, and process improvements to enhance the overall quality and breadth of market intelligence offerings
- Utilize tools and systems to document, monitor, and manage ongoing data quality initiatives and operational improvements
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