Data Analyst

We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to support business decisions and operational performance. The ideal candidate will have strong analytical, technical, and problem-solving skills, with experience working with large datasets, reporting tools, databases, and business stakeholders.

Key Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Develop and maintain dashboards, reports, and data visualizations.
• Analyze business and operational data to identify trends, patterns, and opportunities.
• Write and optimize SQL queries to extract and transform data from relational databases.
• Use Excel and analytical tools to perform data analysis and reporting.
• Build dashboards and reports using Power BI, Tableau, or similar BI tools.
• Work with business stakeholders to understand reporting and analytical requirements.
• Perform data quality checks and resolve data inconsistencies.
• Prepare ad-hoc analyses and management reports as required.
• Translate analytical findings into clear, actionable business insights.
• Collaborate with engineering, product, finance, operations, and business teams.
• Document data sources, reporting processes, metrics, and analytical methodologies.
• Support automation and improvement of recurring reporting processes.

Required Qualifications

• Bachelor's or Master's degree in Data Analytics, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
• Strong knowledge of SQL and relational databases.
• Experience with Excel, including PivotTables, lookups, formulas, and data analysis.
• Experience with Power BI, Tableau, or other data visualization tools.
• Strong analytical and problem-solving skills.
• Understanding of data cleaning, transformation, validation, and reporting.
• Excellent written and verbal communication skills.
• Ability to work with technical and non-technical stakeholders.

Preferred Skills

• Python or R for data analysis.
• Experience with ETL/ELT processes and data pipelines.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
• Familiarity with statistical analysis and predictive analytics.
• Knowledge of data warehousing concepts.
• Experience with Snowflake, Databricks, or similar data platforms.
• Understanding of Agile/Scrum methodologies.

Core Technical Skills

SQL | Excel | Power BI | Tableau | Python | Data Visualization | Data Cleaning | Data Analysis | Reporting | ETL | Databases | Statistics | Business Intelligence | Data Warehousing | AWS/Azure/Google Cloud Platform

Key Deliverables

• Accurate and timely business reports
• Interactive dashboards and visualizations
• Data quality and validation reports
• SQL-based data analysis
• Actionable business insights
• Automated and optimized reporting processes