Data Analyst

JobItUs; Ahmedabad District; On-site; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

FinTech environment

Learning opportunities

Collaborative culture

Job summary

JobItUs in Ahmedabad, India is seeking a detail-oriented Data Analyst to transform complex data into insights that drive business decisions. The role requires strong SQL, Python, and data visualization capabilities, with experience handling large datasets.

You will build dashboards with Power BI or Tableau and collaborate with cross-functional teams to define data requirements. The ideal candidate has hands-on experience in ETL, data validation, and statistical modelling, and is comfortable

Qualifications

• Proficient in SQL and Python for data analysis.
• Experience with BI tools like Power BI or Tableau.
• Advanced Excel (pivot tables, formulas) for data analysis.
• Knowledge of ETL processes and data validation.
• Fundamental statistics and data modelling understanding.
• Experience handling large datasets or data warehouses is a plus.

Responsibilities

• Collect, clean, and analyse large datasets to identify trends.
• Write complex SQL and MongoDB queries to extract data.
• Build dashboards and reports using Power BI or Tableau.
• Perform data validation, quality checks, and anomaly detection.
• Conduct exploratory data analysis and generate actionable insights.
• Automate data processes using Python scripting.
• Collaborate with business, product, and engineering teams on data needs.
• Present insights clearly to stakeholders to support decisions.

Skills

SQL

Python

Data visualization

Excel

ETL

Statistics basics

Education

Bachelor's or Master's in CS/Statistics/Math/Engineering

Tools

Power BI

Tableau

MongoDB

Airflow

Spark

AWS

GCP

Job description

Role Overview

We are looking for a detail-oriented Data Analyst who can convert complex data into meaningful insights that help drive business decisions. The ideal candidate should have strong expertise in SQL, Python, and data visualisation tools and experience working with large datasets.

Key Responsibilities

• Collect, clean, and analyse large datasets to identify trends and patterns.
• Write complex SQL and MongoDB queries to extract and manipulate data.
• Build dashboards and reports using BI tools like Power BI or Tableau.
• Perform data validation, quality checks, and anomaly detection.
• Conduct exploratory data analysis (EDA) and generate actionable insights.
• Automate data processes using Python scripting.
• Collaborate with business, product, and engineering teams to understand data requirements.
• Present insights and reports clearly to stakeholders to support decision-making.

Required Skills

• Strong knowledge of SQL
• Experience with Python (Pandas, NumPy)
• Data visualisation using Power BI, Tableau, or similar BI tools
• Advanced Microsoft Excel (pivot tables, formulas, data analysis)
• Understanding of ETL processes
• Basic knowledge of statistics and data modelling

Good to Have

• Experience with Apache Airflow
• Experience with Apache Spark
• Exposure to cloud platforms such as Amazon Web Services or Google Cloud

Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• 3-5 years of experience in a Data Analyst or Analytics role

Preferred Experience

• Experience working with large datasets and data warehouses
• Exposure to business analytics, product analytics, or risk analytics
• Ability to translate business problems into data-driven solutions

Benefits

• Competitive salary package
• Opportunity to work in a fast-growing FinTech environment
• Continuous learning and career development opportunities
• Collaborative and innovative work culture