A fast-growing tech media company is looking for a talented Senior Data Analyst to join its in-house technology team. In this role, candidates will work closely with product, engineering, and marketing teams to analyze platform data, understand user behavior, and help drive business decisions through meaningful insights.
This opportunity is ideal for professionals who enjoy working with large datasets, product analytics, dashboards, and business intelligence tools in a fast-paced digital environment.
Additional Information
| Position | Senior Data Analyst |
| Location | India (Remote / Hybrid depending on team requirements) |
| Experience | 3 – 5 Years |
| Salary | Competitive Package |
| Working Days | 5 Days |
| Qualification | Bachelor’s degree |
| Skill | Python (Pandas / NumPy), SQL, Data Storytelling & Business Insights |
| Industry | Technology / Digital Media / Product Analytics |
Required Skills & Technologies
Core Skills (Mandatory)
Candidates should have good knowledge and practical experience in:
– MongoDB Queries & Aggregation Pipelines
– Data Analysis & Data Visualization
– Product & User Analytics
– Dashboard Creation & Reporting
– Google Analytics 4 (GA4) / Microsoft Clarity
– Tableau / Power BI / Metabase
– Large Dataset Handling
– User Segmentation & Funnel Analysis
Good to Have Skills
– Python (Pandas / NumPy)
– SQL
– Athena / BigQuery
– Time-Series Data Analysis
– Data Storytelling & Business Insights
Educational Qualification
– Candidates should possess a Bachelor’s or Master’s Degree In Statistics, Mathematics, Computer Science, Engineering, or any related field from a recognized university or institution.
Roles & Responsibilities
– Analyze platform and product data to identify trends and opportunities
– Create and optimize MongoDB queries for analytics and reporting
– Collect, clean, and organize raw datasets for better insights
– Build dashboards and automated KPI reports
– Study user engagement, funnels, retention, and segmentation patterns
– Work with product, engineering, and marketing teams for data-driven decisions
– Present findings through reports, charts, and visual storytelling
Selection Process
– Application & Resume Screening
– SQL / Data Analysis Evaluation
– Technical Interview
– HR / Final Discussion
How to Apply
– Visit the official careers page of the company
– Search for Senior Data Analyst Jobs
– Register and complete the online application form
– Upload your updated resume
– Submit the application online
👉 You can also check :- Software Development Engineer (SDE-1)
Important Question
Q1. What is the required experience for this role?
Ans: Candidates should have around 3–5 years of experience in data analytics or related fields.
Q2. Which analytics tools are preferred?
Ans: Tools like Google Analytics 4, Microsoft Clarity, Tableau, Power BI, and Metabase are preferred.
Q3. What type of datasets will candidates work on?
Ans: Candidates will handle large-scale platform, product, and user behavior datasets.
