Senior Business Data Analyst

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.)