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Role Description:
We are seeking a skilled and detail-oriented Business Data Analyst to bridge the gap between business stakeholders and technical teams. The Business Data Analyst will be responsible for gathering and translating business requirements into data-driven insights and actionable recommendations. The ideal candidate will have a strong background in data analysis, data modeling, and data management processes, along with the ability to work closely with cross-functional teams to drive data-centric business solutions. This role involves working with large datasets, ensuring data quality, and collaborating on data platform migrations and system integrations.
Key Responsibilities:
- Collaborate with business stakeholders to gather, analyze, and document business requirements for data projects and initiatives.
- Translate business needs into technical specifications for data engineers and developers to ensure successful data solutions.
- Perform data analysis and create nge datasets to identify trends, patterns, and anomalies that can inform business decisions.
- Work with cross-functional teams, including data modelers, data engineers, and developers, to support data platform migrations, integrations, and process improvements.
- Ensure the accuracy, completeness, and consistency of data by conducting data quality checks and assisting with data cleansing initiatives.
- Assist in the design, implementation, and maintenance of data models (conceptual, logical, and physical) to support business processes.
- Support the development and optimization of ETL processes, ensuring efficient data extraction, transformation, and loading.
- Facilitate regular communication with business stakeholders, providing updates on data projects, milestones, and results.
- Assist with metadata management and ensure data governance practices are followed to maintain data integrity and security.
Required Skills and Experience:
- 5+ years of experience as a Business Data Analyst or in a related data-centric role, with a focus on data analysis, reporting, and business intelligence.
- Strong knowledge of data warehousing concepts, including ETL processes, data modeling, and data management frameworks.
- Hands-on experience with SQL and the ability to write complex queries for data analysis and reporting.
- Experience working with data modeling tools (Erwin, ER Studio, or similar) and data management platforms like SQL Server, Oracle, Snowflake, or AWS Redshift.
- Proven ability to work closely with business stakeholders to gather requirements and translate them into technical specifications.
- Excellent communication and interpersonal skills, with the ability to present data-driven insights to non-technical audiences.
- Strong problem-solving and analytical skills, with the ability to troubleshoot data issues and resolve discrepancies.
Preferred Qualifications:
- Bachelor s degree in Business Analytics, Data Science, Computer Science, Information Systems, or a related field.
- Experience with data visualization tools (Tableau, Power BI) for creating reports and dashboards.
- Knowledge of data governance frameworks and metadata management.
- Familiarity with cloud platforms (AWS, Azure, Snowflake) and their data services.
- Experience working in Agile or Scrum project management environments. Knowledge of Agile development methodologies.