Business Data Analyst

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.

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.

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.

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