Data Analyst

Mantras2Success Consultants; Ahmedabad District; On-site; INR 500,000 - 800,000; Full time

Benefits offered by this job

Competitive salary

Fast-growing FinTech environment

Learning and development opportunities

Collaborative culture

Job summary

Mantras2Success Consultants in India seeks a detail-oriented Data Analyst to turn complex data into actionable insights. You will work with SQL, Python (Pandas, NumPy), and BI tools to create dashboards and reports for business decision-making.

The role involves handling large datasets, performing EDA, validating data quality, and collaborating with product, engineering, and business teams to translate requirements into data-driven solutions.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 3–5 years of Data Analyst or Analytics experience.
• Experience with large datasets and data warehouses.

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.

Skills

SQL

Python (Pandas, NumPy)

Data visualization (Power BI/Tableau)

Advanced Excel

ETL understanding

Statistics & data modelling

Education

Bachelor’s or Master’s in CS/Stats/Math/Engineering

Tools

Power BI

Tableau

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