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Data Analyst

Job in Kadapa, Andhra Pradesh, India
Listing for: Zenius
Full Time position
Listed on 2026-09-21
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Job Description & How to Apply Below
Seeking a Data Analyst / Data Scientist who can take full ownership of analytics across the business—creating a single source of truth, enabling smarter decision-making, and helping teams move faster with confidence.

In this role, you’ll work closely with the founder, leadership, product, and marketing teams to ensure everyone has a clear, trusted view of how the business is performing across acquisition, product usage, retention, and revenue.

This is a hands-on, highly collaborative role for someone who enjoys building analytics foundations in a fast-moving startup environment and turning complex data into clear, actionable insights.

Responsibilities
Own all business analytics, making sure metrics are well-defined and data is consistent.
Design and manage dashboards that show key business, product, and growth results using BI tools.
Set up and manage analytics tools to accurately track website and product usage.
Study how users interact with the platform to identify growth opportunities and spot potential risks.
Support A/B tests and experiments, analyzing how new features and campaigns perform.
Ensure all business reporting is reliable and accurate.
Continuously improve analytics processes as the business grows.
Clearly communicate insights from data to all teams.

Requirements
Strong SQL skills (complex joins, window functions, etc.).
Experience working with GA4, Big Query, and Stripe schema.

Experience with Mixpanel, Looker Studio, or similar BI tools.

Experience with SaaS metrics and revenue analysis.
Skilled at analyzing datasets and presenting findings to non-technical teams.
Excellent analytical, problem-solving, and communication skills

Nice to Have

Experience with Python for data cleaning and analysis.

Experience with SaaS metrics and revenue analysis.
Interest in health, fitness or consumer technology.

Qualificati​ons
Bachelor’s or Master’s in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
Minimum 2 years of hands-on experience with analytics tools.

Benefits
5 day work-week.
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