Top Senior Level Data & Analytics Jobs in Houston, TX

Lead a team of analytics professionals in conducting analyses to drive company growth through data-driven insights and recommendations. Collaborate with cross-functional teams to optimize marketing, sales growth, client retention, debt consolidation, and customer lifetime value. Communicate results and recommendations to senior executives. Ideal candidate will have a strong data analytics background and 5-10 years of experience in marketing, product, strategy, or business analytics.

The Business Analyst at Capco will analyze, design, and consult on client projects, bridging user needs and IT applications. The role involves conducting client meetings, documenting processes, enhancing business systems, and creating consulting deliverables while utilizing Allegro software. Candidates must possess extensive experience and presentation skills in a management consulting environment, particularly in the Energy sector.

The Senior Data Analyst will work with the finance team to develop and improve reporting infrastructure, ensure accurate company metrics, collaborate with analytics teams, and create data visualizations for business insights.

As a Data Analytics Manager at Doximity, you will work with cross-functional teams to discover data insights and improve healthcare. Responsibilities include identifying behavioral patterns, leading data projects, and managing Data Analysts for growth and success.

This role involves driving engagement data science work for Instacart by focusing on product strategy and intelligent systems. Responsibilities include utilizing data to identify opportunities, estimating impact of new features, conducting experiments for impact measurement, and improving features through advanced data science methods including statistical and machine learning techniques.

The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.

As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.