Business Data Analyst

About the position

The ideal candidate will have a strong background in data analytics, business intelligence, and statistical analysis, with expertise in handling large datasets, deriving meaningful insights, and supporting data-driven decision-making.

Responsibilities

• Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
• Design and develop dashboards, reports, and visualizations using BI tools like Tableau, Power BI, or Looker.
• Collaborate with cross-functional teams to translate business needs into analytical solutions.
• Perform statistical analysis and predictive modeling to support strategic decision-making.
• Develop and maintain ETL processes for efficient data extraction, transformation, and loading.
• Work with SQL and other databases to extract and manipulate data efficiently.
• Ensure data integrity, consistency, and security across various data sources.
• Present findings and recommendations to stakeholders in a clear and actionable manner.
• Stay updated with the latest industry trends, tools, and technologies in data analytics.

Requirements

• Strong proficiency in SQL and experience with relational databases (MySQL, PostgreSQL, SQL Server, etc.).
• Hands-on experience with BI tools (Power BI, Tableau, Looker, etc.).
• Expertise in Excel and data manipulation techniques.
• Proficiency in Python or R for data analysis and statistical modeling.
• Strong understanding of data warehousing concepts and ETL pipelines.

Nice-to-haves

• Experience with big data technologies (Spark, Hadoop, Google BigQuery, Snowflake, etc.) is a plus.