Product Analytics Lead
Manchester / £90000 - £100000 annum
INFO
£90000 - £100000
LOCATION
Manchester
Permanent
Lead Product Analyst
Location: Fully Remote, UK
Salary: £90,000 - £100,000
THE COMPANY
An innovative and rapidly expanding AI-driven FinTech company is looking for a Product Analytics Lead to spearhead its analytics function!
THE ROLE
As the Lead Product Analyst, you will drive in-depth analytics and optimization across a dynamic digital environment, with a strong focus on mobile and app platforms. This role requires advanced skills in SQL/BigQuery, A/B testing, and the ability to collaborate effectively across teams and with various stakeholders.
YOUR SKILLS AND EXPERIENCE
- Proficiency in SQL/BigQuery
- Strong experience in A/B testing (with a focus on on-site CRO and statistical analysis)
- Knowledge of R or Python is advantageous, though not essential
THE BENEFITS
- Competitive salary of £90,000 - £100,000
HOW TO APPLY
To express your interest, please submit your CV to Daniel Abbasi at Harnham via the "Apply" link on this page.
Please note: Our client is currently conducting a fully remote interview process and is equipped for remote onboarding and hiring. This role will remain fully remote for the foreseeable future.
SIMILAR
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Staff Analytics Engineer
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Staff Analytics Engineer
Location: Remote
Salary: $200-250k
Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.
About the Role
The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.
Key Responsibilities
- Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
- Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
- Partner with cross-functional teams to uncover actionable insights and support decision-making.
- Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
- Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
- Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.
About You
- 8+ years of experience in analytics engineering or a similar role in a modern tech company.
- Advanced proficiency in SQL, with experience working on complex datasets.
- Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
- Familiarity with programming languages such as Python, Java, or Go.
- Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
- Strong communication skills and the ability to collaborate in a fast-paced environment.
Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.
To Apply for this Job Click Here
Staff Data Analyst – GTM Analytics
San Francisco
$200000 - $250000
+ Advance Analytics & Mrktg Insight
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Analyst – GTM
Location: Remote
Salary: $200-250k
This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.
About the Role
This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.
Key Responsibilities
- Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
- Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
- Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
- Automate reporting workflows and create interactive dashboards to support leadership decision-making.
- Build and enhance datasets for growth optimization and cost reduction initiatives.
- Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
- Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.
About You
- 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
- Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
- Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
- Strong ability to present complex findings clearly to both technical and non-technical audiences.
- Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.
This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!
To Apply for this Job Click Here
VP Marketing Analytics
Austin
$200000 - $240000
+ Advance Analytics & Mrktg Insight
PermanentAustin, Texas
To Apply for this Job Click Here
Job Title: VP of Marketing Analytics
Location: US Remote
Salary: $200-240k base + 20% bonus
Join a Leading EdTech Company Making a Difference in Higher Education!
We are looking for a visionary VP of Marketing Analytics to drive growth and performance at a transformative education technology company. You’ll lead the marketing analytics function, optimizing strategies that help universities expand access to affordable, life-changing education.
What You’ll Do:
- Shape and execute the strategic vision for marketing data and insights, enabling internal teams and university partners.
- Build a scalable, unified data infrastructure to deliver actionable insights and optimize performance.
- Lead advanced analytics efforts, including predictive modeling for key business challenges like budgeting and forecasting.
- Design core dashboards and reporting tools for executives and partners to inform strategic decision-making.
- Foster cross-functional collaboration and improve analytics capabilities to drive growth and innovation.
- Lead and mentor a high-performing team, fostering a data-driven culture.
What You Bring:
- 10+ years in marketing analytics, with expertise in data modeling, performance measurement, and forecasting.
- Strong background in connecting insights to business results and marketing metrics.
- Proven success leading high-performing analytics teams and advanced analytics solutions.
- Skilled in SQL, Python, Tableau, with a strategic, results-driven mindset.
To Apply for this Job Click Here
Chief Data Officer
$300000 - $350000
+ Advance Analytics & Mrktg Insight
PermanentNew York
To Apply for this Job Click Here
Job Title: Chief Data Officer
Location: Remote
Salary: $300-350k base
We’re partnered with a leading online gaming platform, recognized for providing both digital gaming experiences and physical slot machines across global markets. The company is embarking on a significant data transformation journey to leverage its vast player data to optimize user engagement, retention, and overall business growth.
Role Overview
We are seeking a Chief Data Officer (CDO) to lead data strategy and infrastructure transformation. The CDO will play a pivotal role in overhauling and modernizing the company’s data infrastructure, ensuring they can scale advanced analytics, machine learning models, and data-driven marketing initiatives.
This leadership role will report directly to the CEO and collaborate with executive stakeholders across marketing, engineering, and product teams. The CDO will oversee a team of 40-50 data professionals and work to establish best practices for data governance, data engineering, and analytics.
Key Responsibilities:
- Data Infrastructure Modernization: Oversee the transformation of legacy data systems, enabling advanced machine learning models and real-time recommendations for personalized user experiences.
- Team Leadership & Development: Lead and mentor a growing team of data professionals, including data engineers and machine learning experts. Develop the roadmap for scaling and optimizing data processes and infrastructure.
- Data Governance & Strategy: Establish robust data governance practices and ensure compliance with industry regulations. Build a strategy that enables data-driven decision-making across the organization.
- Customer Data & Analytics: Lead efforts to better utilize the company’s DTC platform’s data, improving customer segmentation, predictive analytics, and personalization models to enhance player retention and lifetime value (LTV).
- Collaboration & Reporting: Work closely with product, marketing, and executive teams to ensure data initiatives align with business goals and deliver tangible results.
Key Projects:
- Build infrastructure to support ML-driven recommendation systems that can personalize player experiences in real-time.
- Integrate and streamline data across the organization to ensure consistent insights and drive smarter decision-making.
- Implement data-driven marketing strategies to improve player engagement and retention.
Candidate Requirements:
- Proven experience as a data leader with a strong track record of driving data infrastructure transformations and machine learning implementations.
- Leadership experience managing teams of a similar size, including data engineers, data scientists, and analysts.
- Background in data governance, data strategy, and advanced analytics, with a hands-on approach in building and implementing solutions.
- Experience in online gaming preferred
- Strong technical skills in Python and Google Cloud Platform (GCP).
- Experience with both small to medium-sized companies, demonstrating agility and resourcefulness in fast-paced, evolving environments.
- Excellent communication skills, with the ability to work closely with executive leadership and stakeholders.
To Apply for this Job Click Here
Staff Product Analyst
$200000 - $250000
+ Advance Analytics & Mrktg Insight
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Analyst, Product Analytics
Location: Remote
Salary: $200-250k
Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.
About the Role
The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.
Key Responsibilities
- Develop and implement key business metrics to measure performance and identify opportunities.
- Create dynamic visualizations and automate reporting workflows to support decision-making.
- Build and enhance analytics datasets to optimize growth strategies and reduce costs.
- Collaborate with product, business, and leadership teams to deliver data-driven solutions.
- Prototype dashboards and data tools to improve workflows and promote best practices.
- Support data accessibility by maintaining analytical technologies that ensure timely access to data.
- Shape the analytics roadmap, aligning data initiatives with organizational goals.
About You
- 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
- Proficient in SQL and experienced in working with complex datasets.
- Familiarity with Python or R and applied statistics.
- Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
- Strong communication skills with the ability to translate data into actionable insights.
- Adept at collaborating in a fast-paced, cross-functional environment.
This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.
To Apply for this Job Click Here
Staff Data Scientist, Growth
Remote
$200000 - $250000
+ Advance Analytics & Mrktg Insight
PermanentCalifornia
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Job Title: Staff Data Scientist
Location: Remote (US Only)
Salary: $200-250k base + equity
About the Company:
Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.
Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!
Position Summary:
As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.
Key Responsibilities:
- Utilize data-driven insights to inform decisions and drive our brand toward new milestones
- Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
- Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
- Lead data science projects, influencing strategic choices and addressing complex problems
Your Skills and Experience:
- 8+ years of experience in data science and product analytics
- Experience in the consumer technology sector
- Proficient in writing efficient SQL queries for large datasets
- Skilled in designing and analyzing A/B tests
- Strong understanding of growth strategies for consumer products
- Experience working in fast-paced startup environments
- Excellent verbal and written communication skills
- Strategic thinker with a keen focus on product development
- Innovative approach to using data to drive product strategy
To Apply for this Job Click Here
Staff Analytics Engineer
San Francisco
$200000 - $235000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Job Title: Staff Analytics Engineer
Location: Remote (US Only)
Salary: $200-235k base + Equity
Are you passionate about using data to shape impactful learning experiences? Join a leading ed-tech company on a mission to provide an education kids love.
As a Staff Analytics Engineer on their Data Science & Analytics team, you’ll play a pivotal role in making data accessible, accurate, and actionable across the company. Partnering closely with product and engineering teams, you’ll play a key role in driving their data architecture forward, enabling scalable data solutions that support product development, growth, and decision-making.
What You’ll Do:
- Data Architecture & Modeling: Design and manage large-scale data warehouses and marts, creating clean, accessible fact and dimension tables to drive insights.
- Data Transformation: Build and optimize data transformation pipelines using tools like dbt, supporting data flow from ingestion through analytics.
- Collaboration: Partner effectively with engineers, data scientists, and stakeholders, driving data projects that align with team roadmaps and impact the business.
- Governance & Quality: Champion data governance principles and quality standards, ensuring data lineage, documentation, and metadata are maintained.
- SQL & Query Optimization: Create efficient, performant SQL queries, leveraging your expertise in window functions, data partitioning, and clustering.
About You:
- 7+ years of experience in data and analytics engineering
- Expertise in SQL and schema design (e.g., Snowflake, Data Vault) with experience in data cataloging and governance tools
- Skilled in SQL frameworks like dbt and orchestration tools like Airflow
- Experienced with data transformation and ETL best practices
- Strong collaborator, capable of driving projects from ideation through implementation
Why Join?
- Mission-Driven Work: Contribute to transforming education for millions of students worldwide.
- Product Impact: Play a central role in product innovation, making data accessible and actionable for meaningful change.
- Culture of Excellence: Work with a team that includes talent from top tech companies, in an environment that prioritizes growth, collaboration, and purpose.
Apply today to join a team where your expertise in analytics engineering can make a world of difference.
To Apply for this Job Click Here
Staff Data Scientist, Product Analytics
San Francisco
$200000 - $250000
+ Advance Analytics & Mrktg Insight
PermanentSan Francisco, California
To Apply for this Job Click Here
Job Title: Staff Data Scientist
Location: Remote (US Only)
Salary: $200-250k base + equity
About the Company:
Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.
Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!
Position Summary:
As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.
Key Responsibilities:
- Utilize data-driven insights to inform decisions and drive our brand toward new milestones
- Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
- Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
- Lead data science projects, influencing strategic choices and addressing complex problems
Your Skills and Experience:
- 8+ years of experience in data science and product analytics
- Experience in the consumer technology sector
- Proficient in writing efficient SQL queries for large datasets
- Skilled in designing and analyzing A/B tests
- Strong understanding of growth strategies for consumer products
- Experience working in fast-paced startup environments
- Excellent verbal and written communication skills
- Strategic thinker with a keen focus on product development
- Innovative approach to using data to drive product strategy
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$140000 - $170000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Machine Learning Engineer
Hybrid- NYC, (with travel up to once a month)
$140,000-$170,000
Tech Startup
Are you an experienced Machine Learning Engineer who is eager to work on the latest advancements in conversational AI and sensor technology? Harnham is partnering with a company that is leading the charge in transforming industries by bridging the gap between digital and physical worlds.
THE COMPANY
This company is revolutionizing the physical world by using sensor technology to connect AI agents with everyday objects. Their product has broad applications across many product-based industries. With a growing customer base, their products leverage real-time data to enhance business decision-making.
THE ROLE
As a Machine Learning Engineer, you will be working closely with the Head of AI to design and develop AI-driven virtual assistants and chatbots that interact with the company’s innovative sensor technology. You will be responsible for building multi-agent frameworks, optimizing LLMs, and implementing Retrieval-Augmented Generation systems to support dynamic, intelligent interactions between users and sensor devices. This is a pivotal role where you’ll contribute to deploying AI solutions in real-world applications, enhancing NLP and conversational AI capabilities that connect real-world environments with digital intelligence.
YOUR SKILLS AND EXPERIENCE
- Experience in developing and deploying AI solutions in production environments, especially in cloud-based AI systems (AWS, GCP)
- Expertise in building and optimizing LLMs
- Proficient in natural language processing techniques, especially for chatbot and AI-powered agent development
- Familiarity with multi-agent frameworks and experience implementing Retrieval-Augmented Generation (RAG) systems for enhanced AI-driven solutions.
- Ability to integrate and manage data from diverse sources for context-aware, real-time AI responses
- Solid understanding of machine learning engineering, deep learning frameworks (e.g., TensorFlow, PyTorch), and model optimization
- Experience with edge computing solutions for real-time data processing and AI-driven interactions
- Strong communication skills to collaborate with cross-functional teams, external stakeholders, and clients
HOW TO APPLY
Register your interest by sending your Resume to Virginia via the apply link on this page.
KEYWORDS
Machine Learning | LLM | Chatbot | GenAI | Artificial Intelligence | Multi-Agent Frameworks | Deploying | startup | NLP | RAG | Retrieval-Augmented Generation | Edge Computing | Real-Time AI | Machine Learning Models
To Apply for this Job Click Here
Senior Product Analytics Engineer
Manchester
£60000 - £67000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Role: Senior Product Analytics Engineer
FULLY REMOTE (1x month in Uxbridge)
Salary: £60,000 – £67,000 (dependent on experience)
Insight into the Company:
This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform.
The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled.
Role and Responsibilities:
- You will ingest and transform data in snowflake using DBT
- You will support the building of the data warehouse in Snowflake
- You will work to sustain and implement existing ELT pipelines
Skills and Experience:
- Essential to have 4+ years experience in:
- SQL
- Python
- DBT
- Cloud techs such as Snowflake, BigQuery or Databricks
- Product Analytics
- Experience working with data product teams
- Desirable to have experience with:
- CI/CD pipelines
- Kafka; real-time streaming
- Snowflake as a data warehouse
Interview Process:
- There are 4 stages to the process:
- A 30 minute discussion about experience
- An hour take home exercise
- A technical interview with the Data Director and Analytics Engineer
- One hour culture fit interview
To Apply for this Job Click Here
Location Analytics Solutions Consultant
London
£80000 - £550000
+ Advance Analytics & Mrktg Insight
PermanentLondon
To Apply for this Job Click Here
LOCATION SOLUTIONS CONSULTANT – LONDON
UP TO £80,000
THE COMPANY
We are working with a renowned Location Analytics Consultancy on a key Geospatial Solutions Consultant hire.
THE ROLE
The successful Locations Solutions Consultant responsibilities will include:
- Collaborate with clients to scope and define the best approaches, methods, and geospatial analytics solutions for their needs, ensuring realistic and achievable outcomes.
- Maintain a strategic presence throughout the project lifecycle, ensuring alignment with client goals and value delivery.
- Lead project initiation, setting clear objectives and building confidence in the proposed solutions.
- Re-engage at critical project milestones to ensure the solutions deliver the intended insights, outcomes, and impact.
- Drive the development of new geospatial analytics capabilities and represent the organization at industry events, press, and PR activities.
YOUR SKILLS AND EXPERIENCE
The successful Locations Solutions Consultant will have the following skills and experience:
- Build trusted partnerships with clients, helping them understand and maximize the value of geospatial analytics.
- Work closely with project managers and technical teams to guide the project from inception to completion.
- Lead client workshops, define project roadmaps, and set expectations for deliverables
- Monitor project progress through regular check-ins, ensuring alignment with strategic objectives
- Support innovation initiatives by exploring emerging trends and technologies in geospatial analytics
- Represent the organization as a thought leader, presenting at conferences, publishing insights, and driving awareness of geospatial solutions
THE BENEFITS
The successful Locations Solutions Consultant will receive a salary of up to £80,000, plus an array of additional benefits.
HOW TO APPLY:
Please register your interest by sending your CV to Harry Mincer via the apply link below.
To Apply for this Job Click Here
Technical SEO Analyst
London
£30000 - £40000
+ Advance Analytics & Mrktg Insight
PermanentLondon
To Apply for this Job Click Here
TECHNICAL SEO ANALYST
£30,000 – £40,000
LONDON – HYBRID – 2/3 DAYS A WEEK
An exciting opportunity to be a Technical SEO Analyst at an unconventional law firm!
THE COMPANY
This law firm acts on behalf of their high-net-worth clients with situations including privacy, reputation and security.
THE ROLE
You’ll sit in a newly established Digital Intelligence team, looking online and predicting how situations may take place in the future and offering recommendations/solutions for next steps.
SKILLS + EXPERIENCE
- Technical SEO experience is a must
- Google Analytics experience
- SEMrush and Screaming Frog skillset
- Strong stakeholder engagement
HOW TO APPLY
If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.
KEY TERMS
IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion, Optimisation, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser, Tag Manager, Tag-manager, Tagging, Tag Management, Set Up Tags, Manage Tags, Manage Tagging, Managing Tags, Managing Tagging, Setting Up Tags, Analytics Tracking, Implement Tags, Implement Tagging, Tagging Implementation, Tag Implementation, Tracking Implementation, Analytics Implementation
To Apply for this Job Click Here
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