The Economist Group - Insights Product Manager - Analytics Engineering
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Requirements
• Analytics Engineering Mastery: Deep technical expertise in modern analytics engineering workflows (e.g., SQL, Python, dbt, Snowflake, or BigQuery) and data modelling. • Analytics Engineering Mastery: • Technical Business Analysis: Proven track record in gathering complex technical requirements and translating them into scalable data solutions. • Technical Business Analysis: • People Leadership: Experience managing or supervising data/engineering professionals (Engineers or BAs) and a history of leading highly-motivated, high-performance teams, of setting and raising high standards and of identifying and nurturing talent • People Leadership: • Focus on Pace: The success of the Analytics Engineering function is fundamentally dependent on the pace at which it can deliver re-usable and robust data assets that strike a trade-off between the rigor/scalability of Data Engineering and the pace/flexibility of manual analytics • Focus on Pace: • Culture: Demonstrable track record of nurturing and training talent and of creating a culture of excellence, ownership, agency, learning and innovation • Culture: • Software Engineering Basics: Familiarity with software engineering principles (e.g., version control, CI/CD) to support the blurring lines between data and application development. • Software Engineering Basics: • Modern Data Stack: Practical recent experience with tools such as Snowflake, Amplitude, Monte Carlo, or Google Analytics. • Modern Data Stack: • Change Management: Experience working through organizational re-designs or function-wide transformations. • Change Management: • Innovation with Impact: Track record of technical and process innovation that delivers impact not just POCs and of building teams and ecosystems that can do the same • Innovation with Impact: • Desirable • Emerging Tech (AI/LLM): Experience building or deploying AI-powered agents, conversational interfaces, or leveraging LLMs for data discovery. • Emerging Tech (AI/LLM): • Data Governance: Hands-on experience with data documentation, quality monitoring tools, and establishing data catalogues. • Data Governance: • Working Arrangements • The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. • AI usage for your application • We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.
Responsibilities
• Team Leadership: Lead and mentor a team of Technical BAs and Analytics Engineers, fostering a culture of excellence, "full-stack" mindsets, and AI-powered efficiency. • Team Leadership: • Requirement Delivery: Working with the Insight Products Director and stakeholders to prioritise and define high-quality requirements for the central Data Engineering team. • Requirement Delivery: • Data Engineering & Operations: Oversee and execute internal data engineering tasks, including building data pipelines, tables, views, instrumentation, and tagging. • Data Engineering & Operations: • Technical Resource for BI: Act as a technical consultant and partner to the BI Manager in the development of conversational interfaces (Analytics Agents), custom UIs, and analytics apps. • Technical Resource for BI: • Governance & Observability: Establish and maintain rigorous data documentation, catalogs, and observability processes (e.g., anomaly alerting) to ensure data is discoverable and reliable. • Governance & Observability: • Data Enhancement: Lead efforts in third-party data enhancement and the curation of unstructured data to enable broader self-serve analytics. • Data Enhancement:
Benefits
• Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. • We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. • You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.
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