0 years
0 Lacs
Posted:1 week ago|
Platform:
On-site
Full Time
About the Role:
As a Data Analyst, you’ll take the lead in collecting, analyzing, and interpreting data to
support business decisions, product development, and performance tracking. You’ll also
assist the QA team in validating data-driven features, testing dashboards, and contributing
to overall product reliability.
We are looking for a Junior Data Analyst with QA Testing Exposure, a unique hybrid role
that combines the analytical thinking of a data specialist with the precision of a QA tester.
This position is ideal for someone who enjoys working with data to drive insights while also
ensuring product quality through hands-on testing.
This is a great opportunity for candidates looking to gain end-to-end exposure to how data
informs both strategic decisions and product quality.
Key Responsibilities
� Data Analyst Responsibilities (Primary)�
Collect, clean, and analyze large datasets from various sources (databases, APIs,
spreadsheets, etc.).
Create dashboards and reports using tools like Excel, Power BI, Tableau, or similar.
Perform exploratory data analysis (EDA) and statistical assessments to derive insights.
Work closely with product, marketing, and engineering teams to translate business
requirements into data insights.
Automate reporting processes and maintain data pipelines as needed.
Use SQL or similar tools to query and manipulate data efficiently.
Present findings and recommendations clearly to both technical and non-technical
stakeholders.
�QA Tester Responsibilities (Secondary)�
Perform manual testing for web and mobile applications to validate new features and
ensure accuracy in data displays.
Report clear and reproducible bugs or data discrepancies found in dashboards or
applications.
Validate backend data accuracy against front-end visuals (e.g., charts, graphs, tables).
Assist in writing automated test scripts for data-related features using tools like
Selenium, Cypress, or Playwright.
Collaborate with the QA team to ensure test coverage of data-heavy modules or
features.
Requirements:
Bachelor’s degree in Computer Science, Information Technology, Statistics, Engineering,
or a related field.
Strong analytical and problem-solving skills with a keen eye for detail.
Good knowledge of Excel and at least one data visualization tool (e.g., Power BI, Tableau,
Looker).
Experience in writing SQL queries and working with databases.
Understanding of QA basics: test cases, bug life cycle, SDLC/STLC.
Exposure to at least one scripting language (e.g., Python, JavaScript).
Ability to work cross-functionally and communicate clearly with teams.
Job Type: Full-time
Pay: ₹8,000.00 - ₹15,000.00 per month
Benefits:
Schedule:
Location:
Work Location: In person
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