Sr Business Analysis Manager – Data Engineering

Sr Business Analysis Manager – Data Engineering

Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Engineering, Information Systems or other applicable program); Master’s preferred.
• 5+ years of experience in data engineering with a focus on analytical/marketing data workflows.
• Proficient in SQL, PySpark, with experience in Azure Data Lake Storage (ADLS), Unity Catalog, Snowflake, or similar with a strong understanding of data warehousing, dimensional modeling, and ETL/ELT pipelines.
• Strong communication and interpersonal skills with the ability to build relationships and collaborate effectively across business, product, and analytics teams.
• Demonstrated success running multiple priorities in a fast-paced, collaborative environment.
• Passion for media analytics, continuous improvement, and data-driven decision-making.

Responsibilities

• Design, develop, and maintain scalable data pipelines that ingest and transform data from various sources into ADLS and Unity Catalog-based architectures using SQL, PySpark, and Delta Lake.
• Build curated and enriched datasets, combining raw data into unified views to support reporting and analytical use cases.
• Ensure data quality, consistency, and completeness through rigorous validation, observability metrics (e.g., freshness, anomalies), and data quality checks.
• Work closely with marketing analysts, data scientists, and business partners to translate analytical requirements into reliable data assets.
• Partner with platform and delivery teams to ensure accurate data ingestion, cataloging, and governance compliance.
• Document data assets comprehensively and ensure they meet governance, privacy, and compliance standards.
• Build and maintain interactive dashboards and reporting frameworks (e.g., Tableau) to deliver actionable insights and metric monitoring.
• Adapt to changes in business needs, proactively adjusting reporting and insights to support evolving objectives.
• Champion innovation in our data strategy by staying informed on collaborator needs, media trends, tools, and emerging methodologies.

Preferred Qualifications

• Experience mentoring junior engineers or contributing to team-wide technical decisions.
• Experience in data visualization and dashboarding (e.g., Tableau, Power BI).
• Familiarity with paid media channels and AdTech platforms (e.g., Meta Ads, Google Ads, DV360, Adobe Analytics).