Python
Data AnalyticsAs an Analyst at Tap Invest, you’ll turn data into decisions. You’ll work with teams across
Product, Ops, Marketing, and Sales to uncover insights, solve real business problems, and
drive strategy.
This role is for someone who is comfortable working with data independently and can
support business teams with reliable analysis and reporting.
Key Responsibilities
● Gather, organize, and clean data from various sources including databases,
spreadsheets, and external sources to ensure accuracy and completeness.
● Write SQL queries to pull, validate, and clean data from production databases.
● Build and maintain dashboards, and generate KPI reports. Track performance
against targets and identify areas for optimization.
● Analyze user funnels and investment patterns to surface actionable insights.
● Prepare and present clear, concise reports and visualizations to communicate
findings and recommendations to stakeholders across teams.
● Document data definitions, metrics, and assumptions clearly for consistency and
reuse.
What We’re Looking For
● 1 to 2 years of experience in Data Analytics, Business Analytics, or a similar role.
● Comfortable writing in SQL and validating queries.
● Solid with Excel / Google Sheets (pivot tables, lookups, charts).
● Genuine curiosity about how businesses use data to make decisions.
● Experience with scripts for data automations.
● Prior projects involving production datasets.
Nice to Have
● Familiarity with pandas or any data manipulation library for advanced automations.
● Interest in capital markets, bonds, fixed income or FinTech.
● Exposure to AI tools
Shubham Vishwakarma
Full Stack Developer - Averlon
About Tap Invest
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