Senior Data Analyst Engineer

About the role

The Services & Operations organization has built a strong data foundation and is now turning data into actionable insights and measurable results. It is looking for a Senior Data Analyst Engineer to lead its analytics capability and act as a bridge between business and technology teams, so that leaders can make faster, better-informed decisions. The role sits in the Data & Information Technology schedule and is full time.

Key responsibilities

• Lead the analytics strategy for Services & Operations and turn complex data into actionable insights, KPIs and recommendations.
• Improve data accessibility and usability with engineering, architecture and business teams, and ensure data platforms support AI and advanced analytics.
• Define data governance mechanisms that improve data quality, consistency, reliability and trust, including standards, documentation and measurement frameworks.
• Drive analytics demand management and prioritization, and promote data-driven decision making.
• Prepare high-quality, governed datasets for AI adoption, identify ways to use AI to improve productivity and operations, and measure the business impact of AI and analytics initiatives.

Required profile

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Information Systems or a related discipline.
• 4+ years of experience in data analytics, business intelligence, data engineering or related technical roles.
• Ability to work across technical and non-technical teams, with analytical problem solving and a continuous learning mindset.

Required skills

• Advanced SQL, data analysis and statistical methods; KPI development and business performance management.
• Power BI and modern visualization platforms; forecasting, trend and predictive analytics.
• Data modeling and semantic layer development; ETL/ELT design and pipeline orchestration.
• Data governance, quality management and metadata practices.
• Understanding of AI and generative AI in enterprise settings, and familiarity with data preparation and governance for AI solutions.