Harnham

Analytics Engineer England

Senior · Удалённо · Английский B2

Не указано: география

Навыки

  • Amplitude
  • B2B-продажи
  • CI/CD
  • Customer Success
  • Data Governance
  • Data Lake
  • Data Quality
Ещё 17
  • Databricks
  • dbt
  • Google Cloud
  • IAM / IDM
  • Looker
  • LTV
  • Маркетинговая стратегия
  • Mixpanel
  • Machine Learning
  • Мониторинг и observability
  • Продуктовые метрики
  • Python
  • SOLID и паттерны
  • SQL
  • Tableau
  • Управление командой
  • Terraform

О компании и продукте

  • They are a growing digital health organisation focused on delivering accessible, high-quality support through technology. Operating in a highly regulated environment, they are building robust data capabilities to support both clinical and operational decision-making. With a fully remote model and a collaborative culture, they emphasise flexibility, trust, and meaningful work. Their data platform is evolving rapidly, creating an exciting opportunity to influence its development.
  • You will join a small, high-impact data team, taking responsibility for maintaining and extending core analytics pipelines. This is a hands-on role where you will work across modelling, data quality, and platform development.
  • Own and maintain analytics models using dbt
  • Ensure the reliability of billing and automation pipelines

Задачи

  • Design, analyze, and interpret A/B tests and product experiments to inform strategic product decisions
  • Develop and enhance product analytics reporting based on event-level user interaction data
  • Partner with Product, Engineering, and cross-functional teams to define success metrics, KPIs, and measurement frameworks for new initiatives
  • Analyze user behavior patterns, engagement trends, and feature performance to identify growth and optimization opportunities
  • Build and maintain dashboards and reporting tools that enable stakeholder self-service access to key product metrics
  • Collaborate with data teams to ensure data quality, metric consistency, and effective event-tracking implementation
  • Promote a culture of experimentation and evidence-based decision-making throughout the organization
  • Lead and develop a growing team of analytics and data science professionals
  • Partner with senior business leaders to identify priorities and solve complex business challenges
  • Guide the development of advanced analytics initiatives, including predictive modeling, lead scoring, customer lifetime value, marketing measurement, propensity modeling, and experimentation
  • Ensure teams are focused on the right problems, delivering actionable insights and scalable solutions
  • Provide coaching, technical guidance, and oversight through project reviews and mentorship
  • Establish processes, prioritization frameworks, and operating structure within a growing organization
  • Manage stakeholder expectations, balance competing priorities, and influence strategic decision-making
  • Help build analytics capabilities and strengthen the overall impact of the function
  • Design, analyze, and interpret A/B tests and experiments that guide product decisions
  • Own product analytics reporting from event-level data, covering feature performance, funnels, retention, and user behavior
  • Partner with PMs and Engineers to define metrics, success criteria, and measurement plans for new features
  • Turn behavioral insights into clear, actionable product recommendations
  • Build self-serve dashboards that give Product and leadership visibility into performance
  • Work with the wider Data team on data quality, definitions, and event-data modelling
  • Champion experimentation and data-informed decision-making across the organization
  • Lead and develop a small team of pricing analysts
  • Analyse policy, quote, claims, market and risk data to identify pricing opportunities
  • Develop and deliver pricing insights to improve profitability and growth

Требования

  • 2 to 4 years of experience in a Product Analyst, Data Analyst, or related analytics role
  • Hands-on experience with product analytics and event-tracking platforms such as Mixpanel, Amplitude, or similar tools
  • Strong SQL skills with experience querying large datasets
  • Experience using business intelligence and reporting tools such as Looker, Tableau, Omni, or similar platforms
  • Demonstrated experience designing, executing, and analyzing A/B tests and experiments
  • Strong communication skills with the ability to translate complex analyses into clear business recommendations
  • Ability to work effectively in a fast-paced, evolving environment and collaborate across multiple functions
  • 7+ years of experience in analytics, data science, or a related field
  • 3+ years of people management experience
  • Strong experience supporting marketing and/or sales organizations
  • Experience leading cross-functional initiatives and influencing senior stakeholders
  • Experience building, scaling, or transforming analytics or data science functions
  • Strong SQL skills and the ability to review Python-based work
  • Experience with predictive modeling, experimentation, and advanced analytics techniques
  • Ability to thrive in ambiguous, fast-growing environments
  • 1 to 3 years as a product analyst, data analyst, or similar, ideally in consumer apps or subscription products
  • Hands-on experience with an event-tracking/product analytics platform (Mixpanel, Amplitude, or similar)
  • Strong SQL and comfort working with large datasets
  • Experience with BI tools (Looker, Tableau, Omni, or similar)
  • Experience designing and analyzing A/B tests
  • Strong communication skills: you translate data into narratives PMs and executives act on
  • Comfortable with ambiguity and cross-functional work
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Будет плюсом

  • Experience supporting digital consumer products, subscription-based platforms, or mobile applications
  • Familiarity with product measurement frameworks and experimentation best practices
  • Experience in B2B SaaS, subscription-based businesses, or similar go-to-market environments
  • Background in areas such as lead scoring, LTV, marketing measurement, or revenue analytics
  • Familiarity with AI-assisted analytics and development tools
  • Why Join?
  • This is a unique opportunity to help shape a function that is undergoing significant transformation and investment
  • You’ll have the chance to build a high-performing team, influence executive decision-making, and create analytics capabilities that directly impact growth and business performance
  • The foundation is being put in place, making this an ideal role for a leader who enjoys building, scaling, and driving change
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  • Senior Product Analyst
  • Advanced Analytics & Marketing Insights
  • Permanent
  • New York
  • US Remote
  • 90,000 – 105,000 Base Salary
  • We’re partnering with one of the world’s most downloaded wellness apps on a Senior Product Analyst hire
  • This role sits at the center of how a top consumer app understands its users, tests its ideas, and decides what to build next
  • Team leadership or mentoring experience
  • Experience managing pricing portfolios
  • Exposure to Home Insurance pricing specifically
  • Highly respected pricing and analytics function
  • Opportunity to influence a major Home Insurance portfolio

Условия

  • Competitive salary and overall compensation package
  • Comprehensive medical, dental, and vision coverage
  • Retirement savings program with employer contribution or matching
  • Commuter and meal-related benefits
  • Access to wellness and healthcare support resources
  • Equipment and software needed to perform successfully in the role
  • Opportunity to contribute to a widely adopted consumer-focused product
  • Collaborative team environment with strong ownership and impact
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  • Director of Analytics
  • Remote, USA
  • Advanced Analytics & Marketing Insights
  • Permanent
  • New York
  • Location: Fully Remote (must work CST or EST hours)
  • Compensation: $215-225k base + performance bonuses + equity
  • A growing B2B technology company is seeking a Director of Analytics to lead and scale a newly established data science and analytics function focused on revenue growth and go-to-market performance
  • This leader will play a critical role in shaping the team’s strategy, building a collaborative culture, and driving measurable business impact across Marketing, Sales, Revenue Operations, and Customer Success
  • This is a highly visible leadership opportunity for someone who enjoys operating in transformation environments, building new capabilities from the ground up, and partnering closely with executive stakeholders to influence strategic decisions
  • Additional performance-based cash compensation potential
  • Opportunity to join a company actively deploying AI at scale across multiple business functions
  • High degree of ownership and visibility within a rapidly growing AI product organization
  • AI Product Director

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