More jobs:
Job Description & How to Apply Below
Currently, only immediate joiners (who have already completed their notice period) or candidates serving a notice period of up to 30 days will be considered for this opportunity.
Candidates with longer notice periods may not be considered at this stage due to urgent project requirements.
Important Note for Applicants
Kindly read the job description carefully before applying. Please apply only if your experience, technical skills, and notice period align with the mandatory requirements mentioned above. Profiles that do not meet the core criteria may face rejection during the screening process, which can lead to unnecessary time and effort from both sides. We appreciate your understanding and cooperation.
Job Title:
Data Analyst
Experience
6+ Years
Location:
Pune (Viman Nagar)
Shift Timings
11:00 AM – 8:00 PM
Job Overview
We are looking for an experienced Data Analyst to work with data from multiple sources, ensuring data accuracy, consistency, and usability for analytics and business decision-making. The ideal candidate should have strong expertise in SQL, Python-based data analysis, exploratory data analysis (EDA), and visualization techniques.
Key Responsibilities
Transform, normalize, and analyze large datasets for reporting and business insights
Write, optimize, and maintain complex SQL queries across analytical databases
Work with databases such as Postgre
SQL, MS SQL Server, Redis, Oracle, and Click House
Build and maintain analytical datasets using Python and SQL
Perform data validation and ensure data quality by identifying duplicates, inconsistencies, and anomalies
Create dashboards, reports, and interactive visualizations for stakeholders
Document datasets, metrics, and analytical processes
Collaborate with cross-functional teams including engineering, analytics, and business stakeholders
Required Skills & Experience
6+ years of experience in Data Analytics or related analytical roles
Strong experience in Exploratory Data Analysis (EDA)
Advanced SQL knowledge including joins, aggregations, window functions, and query optimization
Strong proficiency in Python for data analysis
Hands-on experience with:
Pandas (Mandatory)
Num Py (Mandatory)
Plotly (Mandatory)
Experience working with CSV, JSON, and XML data formats
Familiarity with GCP and basic understanding of Azure
Good understanding of data normalization and multi-source data analysis
Intermediate level English communication skills
Preferred / Good-to-Have Skills
Experience with Click House
Familiarity with Dask or Polars for handling large datasets
Knowledge of Matplotlib or Seaborn
Exposure to scikit-learn, Sci Py, or Stats models
Experience in e-commerce analytics or marketplace platforms
Tech Stack Languages
SQL
Python
Data Analysis
Pandas
Num Py
Visualization
Plotly
Matplotlib
Seaborn
Big Data Tools
Dask
Polars
Databases
PostgreSQL
MS SQL Server
Redis
Oracle
Click House
Environment & Tools
Jupyter Notebook
Jupyter Lab
Dash
Cloud Platforms
GCP
Azure (Basic Knowledge)
Skills:
python,eda,pandas,numpy,json,data analytics,computerized system validation (csv),xml data formats,plotly,gcp,sql
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×