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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!

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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.

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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.

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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.

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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

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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.

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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

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

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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:

1. A 30 minute discussion about experience
2. An hour take home exercise
3. A technical interview with the Data Director and Analytics Engineer
4. One hour culture fit interview

To Apply for this Job Click Here

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

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

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SENIOR DATA ANALYST

Ipswich, Remote working with occasional travel into the office (monthly)

Up to £60,000 plus great benefits

Please note: Please do not apply if you require a sponsorship now or in the future as this cannot be provided.

The Company:

A market-leading consultancy within Digital Transformation, AI Tech and Customer Experience.

The Role:

As a Senior Data Analyst, you will be responsible for:

– Uncover trends, patterns and insights through in-depth analysis

– Creating data visualisations in Tableau for clients to communicate insights effectively

– Collaborate with clients and internal teams to deliver solutions

Skills/Requirements:

– Tableau experience

– Strong SQL experience

– Minimum 3/4 years experience in analytics

– R / Python experience

– Strong gravitas with stakeholders

Interview Process:

1st Stage – Initial chat with HR, culture fit/expectations

2nd Stage – Technical interview with the team

3rd Stage – Meet the CEO

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