Job Title- Data Analyst
Experience- 3 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.
· 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
· 3+ 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
· 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
· 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)