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Mid-level generalist data role, metro Noida location, and broad skillset requirements increase applicant competition.
Role requires deep investment-data domain knowledge, reducing cross-industry transferability.
Explicit 5+ years, investment-domain expertise, and mandatory SQL/cloud/visualization increase screening strictness.
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Maintain and improve investment data quality and reliability for clients through data analysis, organization, and reporting.
Build and manage data systems and pipelines, integrating multiple data sources to meet customer and company requirements.
Develop and present insights using advanced data visualization tools and collaborate with system architects and product teams.
Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
5+ years of relevant experience in data analytics, reporting, and visualization.
Proficiency with SQL and NoSQL databases, data integration/ETL processes, and visualization tools such as Tableau, Power BI, or D3.js.
Knowledge of cloud platforms (AWS, GCP, Azure) and programming languages (e.g., Java, Python, VBA).
Experienced in investment data domain with deep understanding of investment data requirements.
Capable of handling large datasets and complex data mining tasks in cross-functional, collaborative environments.
Skilled in developing scalable data systems and producing actionable insights through sophisticated data visualization.