Lead Analyst, Data Operations

Role Overview

This role leads the design, execution, and continuous improvement of enterprise-wide data operations processes that ensure the reliability, quality, and accessibility of data supporting T-Ads business decisions.

What You Will Do

Own and continuously enhance enterprise data operations frameworks, serve as the senior technical authority and escalation point for complex data quality, integration, and pipeline issues, and lead migration of manually-maintained processes to fully automated, documented systems.

Why It Might Be a Fit

Success is measured by the scalability, automation, and reliability of data operations, the strength of vendor and governance relationships, and the role’s ability to elevate technical capability across the broader team.

Requirements

• Bachelor’s Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
• 7-10 years Experience in data identification, querying, cleaning, wrangling, quality assessment, and management across relational and non relational databases in big data environments
• 7-10 years Experience translating complex business questions into data strategy and applying advanced statistical and analytical techniques to drive enterprise-level decisions
• 7-10 years Experience communicating technical concepts to executive, technical, and lay audiences, including data-driven presentations to senior stakeholders
• 7-10 years Experience working with relational databases using SQL
• 7-10 years Experience with data visualization tools such as Power BI, Tableau etc.
• 4-7 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka
• 4-7 years Experience with enterprise data integration, ETL/ELT automation, and cloud-based data platforms such as Snowflake, dbt, or Airflow
• 3 – 5 years Experience managing or coordinating vendor and data partner relationships, including SLA and contract performance oversight
• 3 – 5 years Experience with API-driven data integration, including REST APIs and GraphQL
• 2-4 years Experience coaching or mentoring junior analysts or team members on data analysis and quality best practices
• 2-4 years Experience contributing to data governance frameworks, policies, and compliance/audit readiness

Benefits

• Medical, dental and vision insurance
• Flexible spending account
• 401(k)
• Employee stock grants
• Employee stock purchase plan
• Paid time off
• Paid parental and family leave
• Family building benefits
• Back-up care
• Enhanced family support
• Childcare subsidy
• Tuition assistance
• College coaching
• Short- and long-term disability
• Voluntary AD&D coverage
• Voluntary accident coverage
• Voluntary life insurance
• Voluntary disability insurance
• Voluntary long-term care insurance
• Mobile service & home internet discounts
• Pet insurance
• Commuter and transit programs