Data Analyst

Data Analyst- (Male)

We are seeking a highly skilled Data Analyst with 2–3 years of experience in building and maintaining ETL/ELT pipelines, working with diverse data sources, developing Power BI reports, and ensuring high-quality, reliable data across the organization.
The ideal candidate should have strong analytical skills, excellent knowledge of numbers and business context, and hands-on experience in data cleaning, transformation, modeling, and optimization.

Key Responsibilities1. ETL/ELT & Data Pipelines

• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.
• Work with tools such as Power Query, SQL-based ETL, Dataflows, ADF, SSIS, or similar platforms.
• Automate data ingestion, transformation, and integration workflows.
• Troubleshoot pipeline failures and optimize performance.

2. Data Management & Databases

• Work with multiple databases such as SQL Server, MySQL, PostgreSQL, Azure SQL, Oracle, or cloud-based DBs.
• Write optimized SQL queries, stored procedures, views, and functions.
• Perform data extraction, cleaning, profiling, and validation at scale.

3. Data Cleaning, Transformation & Quality

• Handle large volumes of raw data and transform them into clean, usable datasets.
• Create data validation checks and ensure accuracy, consistency, and completeness across systems.
• Apply data optimization techniques to improve refresh times and model performance.

4. Business Intelligence & Reporting

• Develop and maintain Power BI dashboards, reports, and datasets.
• Use Power Query and DAX to create calculated columns, measures, and date intelligence logic.
• Publish and manage reports in Power BI Service, including refresh schedules, Row-Level Security (RLS), and workspaces.
• Collaborate with stakeholders to understand business requirements and deliver insights.

5. Automation & Productivity Tools

• Build automation using tools like Power Automate, Python scripts, Excel VBA, or workflow tools.
• Implement scheduled tasks to streamline repetitive processes.
• Integrate BI outputs with email alerts, SharePoint, Teams, and other systems.

6. Excel & Analytical Skills

• Strong command of Excel: Power Query, PivotTables, advanced formulas, and data modeling.
• Excellent ability to work with numbers, perform analysis, detect patterns, and identify anomalies.

7. Domain & Business Understanding

• Interpret data with a strong understanding of business KPIs, metrics, and operational logic.
• Provide insights that support decision-making across departments.

Required Skills & Experience

• 2–3 years of hands-on experience as a Data Analyst or similar role.
• Solid experience building ETL/ELT pipelines and integrating diverse data sources.
• Strong SQL skills for data extraction, transformation, and performance tuning.
• Experience with Power BI, Power BI Service, and Power Query.
• Experience working with files, APIs, databases, cloud storage, SharePoint, Excel, CSV, JSON, etc.
• Strong data modeling and DAX knowledge.
• Proficiency with Excel (advanced).
• Experience with automation tools (Power Automate, scripting, or similar).
• Strong analytical thinking and numerical ability.
• Knowledge of data validation, data governance, and data quality frameworks.

Good to Have (Optional)

• Experience with Azure Data Factory, Dataflows, Databricks, or cloud data integration tools.
• Knowledge of Python or R for data manipulation.
• Experience working in Agile environments.
• Understanding of version control (Git) and CI/CD for analytics.

Salary 15,000/- to 30,000/-

Apply now 7593833662 or hr@nesasoftware.com

Job Types: Full-time, Permanent

Pay: ₹15,000.00 - ₹30,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Work Location: In person