Data Analyst

Drave Digitals Consultancy is hiring a Data Analyst on behalf of one of our client companies. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to support business decision-making and identify opportunities for process and performance improvement.

The candidate should have strong analytical and problem-solving skills, along with hands-on experience working with tools such as Excel, SQL, Power BI/Tableau, or similar data analytics platforms.

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• Collect, clean, validate, and organize data from multiple sources.
• Analyze large datasets to identify trends, patterns, insights, and business opportunities.
• Develop and maintain MIS reports, dashboards, and data visualizations for business stakeholders.
• Write and optimize SQL queries to extract and manipulate data from databases.
• Create reports and dashboards using Power BI, Tableau, or similar BI tools.
• Perform data validation and quality checks to ensure accuracy and consistency.
• Track key performance indicators (KPIs) and prepare regular business performance reports.
• Translate business requirements into meaningful data analysis and actionable insights.
• Work closely with business, operations, finance, sales, marketing, and technology teams to understand reporting requirements.
• Identify data discrepancies and work with relevant teams to resolve data-quality issues.

• Strong knowledge of MS Excel, including Pivot Tables, XLOOKUP/VLOOKUP, formulas, charts, and data analysis.
• Good working knowledge of SQL.
• Experience with Power BI, Tableau, or another data visualization tool.
• Strong analytical and problem-solving abilities.
• Good understanding of data cleaning, transformation, and validation.
• Ability to interpret data and communicate insights clearly.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently as well as collaboratively with cross-functional teams.

• Knowledge of Python/R for data analysis.
• Experience with Power Query, DAX, or similar data-analysis technologies.
• Basic understanding of statistical concepts and forecasting.
• Experience working with cloud databases or data warehouses.
• Exposure to business intelligence, reporting automation, or ETL processes.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Engineering, or a related field.
• A certification in Data Analytics, Power BI, SQL, or Business Intelligence will be an added advantage.