Data Analyst

Job Title- Data Analyst

Experience- 5 plus years.

Location- Viman Nagar Pune.

Timings- 11 am- 8 pm.

Be part of AcquireX team that unleashes the power of leading-edge technologies to help improve e-commerce processes in the e-commerce world. We are looking for a Data Analyst to analyze transform and validate data that powers analytics reporting and operational decision-making. You will work with multiple data sources and internal systems to ensure data accuracy consistency and usability.

Key Responsibilities

Transform normalize and analyze data for business insights and reporting

Write and optimize SQL queries across analytical databases

Work with PostgreSQL MS SQL Server Redis/Oracle (ClickHouse is a plus)

Build and maintain analytical datasets using Python and SQL

Ensure high data quality by identifying duplicates errors and inconsistencies

Create visualizations and dashboards for stakeholders

Document datasets metrics and analysis logic

Collaborate with engineers analysts and business teams

Requirements

5 years of experience as a Data Analyst (or Analytics-focused role)

EDA (Exploratory Data Analysis)

Strong SQL skills (joins aggregations window functions optimization)

Proficiency in Python for data analysis:

o Pandas (must have)

o NumPy (must have)

Hands-on experience with interactive visualization:

o Plotly (must have)

Experience working with CSV JSON and XML data formats

Familiarity with GCP and working knowledge of Azure

Understanding of data normalization and multi-source analysis

English proficiency: Intermediate

Must Have

Experience with ClickHouse is a plus

Familiarity with Dask or Polars for large datasets

Experience with Matplotlib or Seaborn

Exposure to scikit-learn SciPy or Statsmodels

Experience with e-commerce analytics or marketplaces

Tech Stack (Core)

Languages: SQL Python

Analysis: Pandas NumPy

Visualization: Plotly (primary) Matplotlib / Seaborn (plus)

Big Data: Dask Polars

Databases: PostgreSQL MS SQL Server Redis/Oracle ClickHouse (plus)

Environment: Jupyter Notebook / JupyterLab Dash

Cloud: GCP Azure (basic)