Senior Business Data Analyst

The Senior Business Data Analyst partners with business and technical teams to deliver data-driven solutions that support strategic decision-making. This role leads analytics initiatives end-to-end-translating business needs into actionable insights, ensuring high-quality data delivery, and driving measurable business outcomes.

What You'll Be Doing:

• Perform end-to-end data extraction, transformation, and loading (ETL/ELT) to prepare data for analytics and reporting
• Provide data engineering services and write code to automate data pipelines
• Develop insights, dashboards, and reporting to support decision-making
• Create data collection frameworks for structured and unstructured data
• Use advanced mathematical, statistical, and computer science concepts to build predictive and prescriptive algorithms using big data
• Ensure data quality, validation, and governance standards are met
• Verify model and algorithm effectiveness based on real-world results
• Communicate insights clearly to business and executive stakeholders

Data Governance & Quality:

• Ensure data accuracy, consistency, and completeness across systems through validation and reconciliation processes
• Define and document data definitions, metrics, and lineage to support trusted reporting
• Partner with data engineering teams to enforce data governance standards within pipelines and platforms
• Support data quality monitoring, issue identification, and root cause resolution
• Maintain documentation of data requirements, transformations, and business rules
• Ensure compliance with organizational and regulatory data standards

What You'll Bring to the Role:

• 5+ years in business/data analytics or related roles
• Proven experience delivering analytics solutions in cross-functional environments
• Experience working with both business stakeholders and technical teams
• Strong stakeholder management and requirements gathering experience
• Experience leading analytics delivery in Agile environments (Scrum, Jira, Confluence)
• Ability to communicate complex insights to technical and non-technical audiences
• Advanced SQL skills for data analysis and validation
• Exposure to cloud platforms (Azure, AWS, GCP)
• Experience with Databricks or modern data platforms
• Familiarity with data modeling and data pipelines
• Experience with BI tools (Power BI, Tableau)
• Understanding of data governance principles (data quality, lineage, metadata, auditability)
• Strong problem-solving and data analysis capabilities
• Experience with data validation, testing, and quality assurance
• Ability to work with large, complex datasets

• Willingness and ability to work US hours (night shift / US business time alignment)

Nice to Have:

• Experience in regulated industries (healthcare, finance, etc.)