Data Analyst

Netm Corporate Solutions; Hyderabad, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Netm Corporate Solutions is seeking an experienced Data Analyst with 5 to 8 years of relevant experience to analyze business data, identify trends, and generate actionable insights to support data-driven decisions.

The ideal candidate should have strong hands-on experience in SQL, Advanced Excel, data analysis, Power BI/Tableau, data visualization, reporting, and Python/Pandas. The role requires the ability to work with large datasets and communicate insights effectively to stakeholders.

Qualifications

• Hands-on experience with SQL and data analysis.
• Strong Excel skills including advanced functions and pivot tables.
• Proficiency in Power BI/Tableau for dashboards and reports.
• Experience in Python and Pandas for data manipulation and automation.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable business insights.
• Write, optimize, and maintain SQL queries for data extraction, transformation, validation, and analysis.
• Develop interactive dashboards, reports, and visualizations using Power BI or Tableau.
• Perform data cleaning, preprocessing, validation, reconciliation, and quality checks.
• Use Python/Pandas for data analysis and automation as needed.
• Prepare regular, automated, and ad-hoc reports for business stakeholders.
• Translate business requirements into analytical solutions and insights.

Skills

SQL

Excel

Data analysis

Data interpretation

Stakeholder communication

Data visualization

Tools

Power BI

Tableau

Python

Pandas

Job description

We are looking for an experienced Data Analyst with 5 to 8 years of relevant experience to analyze business data, identify trends and patterns, generate actionable insights, and support data-driven decision-making.

The ideal candidate should have strong hands-on experience in SQL, Advanced Excel, data analysis, Power BI/Tableau, data visualization, reporting, and Python/Pandas. The role requires the ability to work with large datasets, understand business requirements, develop meaningful reports and dashboards, and communicate insights effectively to both technical and non-technical stakeholders.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable business insights.
• Write, optimize, and maintain SQL queries for data extraction, transformation, validation, and analysis.
• Develop interactive dashboards, reports, and visualizations using Power BI or Tableau.
• Perform data cleaning, preprocessing, validation, reconciliation, and quality checks.
• Use Advanced Excel for data analysis, reporting, pivot tables, lookup functions, formulas, and data manipulation.
• Use Python/Pandas for data analysis, automation, and handling large datasets where required.
• Work closely with business, technology, and cross-functional teams to understand reporting and analytical requirements.
• Prepare regular, automated, and ad-hoc reports for business stakeholders.
• Identify trends, gaps, and opportunities for process and business improvement through data analysis.
• Translate business requirements into analytical solutions, reports, dashboards, and actionable insights.
• Present analytical findings and recommendations clearly to technical and non-technical stakeholders.
• Perform root-cause analysis and investigate data discrepancies or business performance issues.
• Ensure accuracy, consistency, and reliability of analytical outputs and reports.
• Work in an Agile and collaborative environment and follow data analysis and reporting best practices.
• Continuously improve reporting processes, dashboards, analytical methodologies, and data quality.

Required Skills

• Strong hands-on experience with SQL.
• Advanced knowledge of Microsoft Excel.
• Strong understanding of Data Analysis and Data Interpretation.
• Hands-on experience with Power BI or Tableau.
• Strong knowledge of Data Visualization and Dashboard Development.
• Experience with Python and Pandas for data analysis.
• Strong analytical and problem-solving skills.
• Experience in preparing business reports and MIS/analytical reports.
• Ability to identify trends, patterns, and actionable insights from datasets.
• Good understanding of data quality, validation, and reconciliation.
• Strong communication and stakeholder-management skills.

Preferred Technical Exposure

• Database/SQL: SQL Server, MySQL, PostgreSQL, Oracle or similar.
• BI & Visualization: Power BI, Tableau.
• Programming: Python, Pandas.
• Excel: Pivot Tables, XLOOKUP/VLOOKUP, INDEX-MATCH, advanced formulas, data validation, Power Query.
• Reporting: MIS, business reporting, KPI reporting, dashboard development.
• Exposure to data extraction, transformation, and analytical workflows.
• Experience working with large datasets and multiple data sources is an advantage.

Candidate Profile

• Experience: 5 to 8 years in Data Analytics, Business Analytics, Reporting, MIS Analytics, or a related role.
• Strong practical experience in SQL + Excel + Power BI/Tableau.
• Candidates with exposure to Python/Pandas will be preferred.
• Strong attention to detail and data accuracy.
• Ability to independently analyze problems and provide data-backed recommendations.
• Good communication and presentation skills.
• Comfortable working with cross-functional teams and business stakeholders.
• Willing to work onsite in Bangalore.