Data Analyst at PRIMAGAS working on data analysis and machine learning for energy solutions. Responsible for data visualization, modeling, and logistic trend analysis.
About the role
- Head of Data Analytics leading a multi-disciplinary team to bridge data innovation and operational excellence at Haymarket. Strategic role focusing on data monetization and client insights.
Responsibilities
- Develop and execute a roadmap for data monetization, turning raw audience assets into high-value commercial products and services
- Establish the "gold standard" for data delivery, ensuring the depth, quality, and frequency of reporting exceed client expectations
- Oversee the creation of robust dashboards and analytical frameworks that prove the value of marketing spend and campaign performance
- Lead client-facing consultations to translate complex data into "stories" and actionable future strategies
- Collaborate with the technical data engineering team under our web development/digital product department to ensure data models are scalable, integrated, and optimized for performance
- Oversee the management of audience data within the Customer Data Platform (CDP) to improve segmentation, retention, and personalized targeting
Requirements
- 12–15+ years in a senior leadership role within data strategy, analytics, or digital operations
- Experience in the pharmaceutical marketing or digital health space is highly preferred
- Proven track record of managing and mentoring diverse teams (analysts, engineers, and strategists) and building cross-functional consensus
- A strong command of the modern data stack, including SQL, JavaScript, Google Analytics 360, and Google Tag Manager
- Experience with Customer Data Platforms (CDPs) and Google Cloud is essential
- Demonstrated ability to develop data-related products and services, including strategy for pricing and monetization
- Exceptional ability to articulate complex technical concepts to non-technical stakeholders, including C-suite executives and external clients
- At minimum, a BA/BS degree in a related field (Data Science, Business, Finance, or Engineering) or equivalent experience. Master’s level preferred.
Benefits
- Paid annual vacation, holiday and sick time off
- Comprehensive health plans including medical, dental and vision
- Competitive 401(k) investment options and generous company matching program
- Life insurance
- Commuter benefits
- Employee referral awards
- Tuition reimbursement
- Training opportunities through industry-recognized programs
- A creative and passionate workplace and a fun, collaborative team environment
- Three Week “Work from Anywhere” benefit, to ensure work life balance
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