Senior Business Data Analyst

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive. 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.)