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.)