Job Description
Responsibilities
- 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)
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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