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Job Description

Position : Senior Data Analyst

Experience : 3-6 Years

Location : Pune, India


Job Summary :


We are seeking a proactive and skilled Senior Data Analyst to join our team in Pune. The ideal candidate will have extensive experience in data analytics, with a strong background in e-commerce, retail tech, or product-based startups. This role requires a blend of technical expertise in SQL, Python, and BI tools with a keen ability to translate complex data into actionable business insights. You will be instrumental in analyzing client performance, understanding customer behavior, and driving business impact through data-driven decisions.


Key Responsibilities :


Data Analysis & Insight Generation :


- Conduct deep-dive analysis into e-commerce metrics and customer funnel behavior to identify trends, opportunities, and anomalies.

- Perform root cause analysis and hypothesis testing to understand the drivers behind key business metrics.

- Transform raw data into compelling stories and visualizations, presenting insights to stakeholders across product, marketing, and client teams.


Technical Execution & Tooling :


- Utilize strong skills in SQL and Python to extract, clean, and analyze large datasets.

- Develop and maintain dashboards and reports using business intelligence tools such as Tableau, Power BI, Looker, or Google Data Studio.


Collaboration & Documentation :


- Work cross-functionally with product, marketing, and client teams to support their data needs and provide analytical guidance.

- Maintain a high level of ownership over projects, proactively identifying and solving problems.

- Create and maintain clean, comprehensive documentation and SOPs for analytical processes and methodologies.


Required Skills :


Core Experience :


- 3-6 years of experience in data analytics, with a preference for backgrounds in e-commerce, retail tech, or product-based startups.

- Prior experience in a fast-paced environment with a direct impact on business outcomes.


Technical Proficiency :


- Strong proficiency in SQL, Python, and Excel, with a self-rated skill level of 7 out of 10 or higher in each.

- Experience with at least one major BI tool such as Tableau, Power BI, Looker, or Google Data Studio.

- Proven skills in data visualization and telling compelling stories with data.


Analytical Skills :


- Expertise in root cause analysis, hypothesis testing, and anomaly detection.

- A solid understanding of e-commerce metrics and customer funnel behavior.


Preferred Skills :


- Experience in organizations that have gone through Series A-C funding, with 20-150 employees.

- Specific exposure to client performance analytics, product analytics, or marketing analytics.

- Familiarity with web analytics tools like Google Analytics or Adobe Analytics.

- Knowledge of advanced statistical methods or machine learning concepts.

- Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.


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