To Apply for this Job Click Here

AI Software Engineer

Remote (US – ET/CT Time Zone)
$120K-$160K + Benefits

I’m partnering with a global leader in digital learning technology that’s transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.

This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.

The Role:

You’ll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you’ll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact.

Key Responsibilities

• Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
• Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
• Collaborate with Data Science teams to productionize models and streamline deployment pipelines
• Lead and contribute to technical design, architecture, and CI/CD improvements
• Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
• Stay current on the latest advancements in GenAI and advocate for best practices across the team

About You

• 5+ years of professional software engineering experience
• Strong full-stack skills across:
• Backend: Python, Node.js, or Go
• Frontend: Angular or React
• Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
• Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
• Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)
• Practical understanding of RAG techniques, vector databases, and AI orchestration tools
• Strong system design, performance optimization, and collaboration skills
• Passionate about building impactful technology and staying ahead in the AI space

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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

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

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

To Apply for this Job Click Here

Junior Digital Product Analyst

London – 4 days in Office

Up to £38000

This is a great opportunity to join a high‑growth digital retail group where you will shape how product analytics is done. You will be part of a team building analytics foundations, setting reporting standards, and driving insights across web and app journeys.

The Company
We are a major multi‑brand retail group operating at scale across sports, fashion and lifestyle. With a fast‑paced environment and a results‑driven culture, we offer exposure to high‑traffic digital products and the chance to influence decisions across a broad portfolio. Our continued growth creates strong opportunities for progression and hands-on impact.

The Role

A junior role where you will use SQL, dashboarding tools and product analytics techniques to analyse digital funnels and build reporting that drives decisions across high‑traffic web and app journeys.

You will:

• Build product reporting and dashboards used across the business
• Analyse customer funnels including checkout, feature usage and on-site journeys
• Support the development of product analytics foundations and best practices
• Work with digital, product and commercial teams to provide actionable insights
• Use SQL and dashboarding tools to track performance across web and app

Your Skills and Experience

• Strong analytical aptitude and logical problem-solving skills
• Good understanding of digital or website analytics concepts – GA4
• Confident using SQL to query and analyse data
• Experience with a dashboarding tool such as Power BI or Tableau
• Ability to translate data into clear, insightful recommendations

What We Offer

• Salary up to £38000
• Four days per week in central London office
• Access to a fast-paced digital environment with genuine career progression
• Opportunities to broaden your analytics skill set across products, brands and platforms

How to Apply
To register your interest in this Junior Digital Product Analyst role, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR DATA & ANALYTICS STORYTELLER – 9-12 MONTH FTC
LONDON – 2-3 DAYS PER WEEK
£50,000-£60,000

This is an opportunity to join a widely respected organisation at the centre of the UK insurance and long‑term savings landscape. You will play a key role in shaping insight used by industry leaders, policymakers and internal teams, with the autonomy to deliver meaningful analysis and influence major conversations across the sector.

The Company
They are a prominent membership organisation representing a large share of the insurance and long‑term savings market. Their work spans policy, media, analytics and industry engagement, and they are known for their collaborative culture, strong values and forward‑looking approach. With a supportive executive team and a highly engaged analytics function, they offer a genuinely positive environment where you can develop and refine your technical and stakeholder skills.

The Role
You will contribute to core analytics activity and wider policy work, partnering with senior internal stakeholders and external members. Responsibilities include:
* Leading data collection from member organisations and third‑party sources, including survey data, market data and external regulatory datasets.
* Analysing and interpreting complex datasets to generate clear, compelling insight used across policy, media and strategic decision‑making.
* Building accessible dashboards and visual outputs, particularly in Power BI.
* Supporting market forecasting and identifying new trends, developments or subscriber opportunities.
* Responding to ad hoc analytical requests and contributing insight for media responses or internal briefings.
* Working closely with policy teams, data contacts and external partners to ensure high‑quality data collection and smooth stakeholder engagement.
* Providing guidance to junior team members where needed and contributing to continuous improvement initiatives within the analytics function.

Your Skills and Experience
* Strong commercial experience using SQL, Excel and a data visualisation tool, with a preference for Power BI.
* Proven ability to create insight using both internal and external data sources, including market research, survey data and publicly available datasets.
* Confident stakeholder communicator with the ability to translate technical information clearly.
* Experience working with third‑party data providers or regulatory/market datasets.
* Comfort working autonomously while collaborating across teams.
* Experience with Python is beneficial but not essential.
* Familiarity with insurance or financial services is advantageous but not required.

What They Offer
* Salary up to £60,000 plus discretionary bonus.
* Hybrid working model averaging two days per week in the London office.
* 25 days annual leave plus your birthday off.
* Private medical cover, gym membership, eye care support and mental wellbeing initiatives.
* Access to leadership, training and development programmes.
* A collaborative, friendly team environment with opportunities to broaden your technical toolkit.

How to Apply
If this sounds like the right next step for you, please apply with your CV to be considered.

To Apply for this Job Click Here

To Apply for this Job Click Here

Junior Digital Product Analyst
London – 4 days in office
£38,000 + benefits

A leading UK retail group is looking for a Junior Digital Product Analyst to join their growing Product Analytics team. This is a great opportunity for someone with 1-2 years of experience in digital analytics who wants exposure to high-traffic eCommerce platforms across multiple well-known consumer brands.

You’ll work closely with product and digital teams to analyse website and app performance, support checkout and feature optimisation, and build reporting and dashboards used across the business.

Key Responsibilities

• Analyse customer journeys and conversion funnels across web and app

• Support product analytics initiatives and help establish best practices

• Build dashboards and reporting for stakeholders across the business

• Work with data to identify opportunities to improve checkout and key website features

• Provide insights into user behaviour, conversion, and performance metrics

Requirements

• 1-2 years’ experience in digital or product analytics

• Understanding of website analytics and conversion funnels

• Experience with SQL

• Experience building dashboards in Power BI, Tableau, or similar

• Strong analytical thinking and problem-solving skills

• Comfortable working with Excel and data analysis

What’s on Offer

• £38,000 salary

• Benefits

• Hybrid working (4 days office / 1 day WFH)

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

To Apply for this Job Click Here

To Apply for this Job Click Here

Research Manager – Brand Insights

London| Up to 50,000 plus benefits

This is an exclusive opportunity to join a high-performing Brand Insights team at the heart of clients’ brand and marketing decisions. You will work across a huge breadth of brands and sectors, lead strategic conversations with senior stakeholders, and coach a talented team while still staying close to the data and the story it tells.

The Company
They are a global data, insights and consulting business with a flagship Brand Insights team. This team partners with over 100 brands across every major sector, helping them understand how people think, feel and behave, and how that translates into brand and commercial outcomes. They sit at the centre of clients’ brand, marketing and customer strategies, joining the dots between research, media, creative and customer experience. Collaboration, learning and high performance are central to how they work.

The Role

As Research Manager, you will:

• Act as a strategic partner to brand, marketing and insight teams across multiple key accounts.
• Lead projects end to end, from brief and proposal through to analysis, storytelling and debrief.
• Translate complex quantitative data into clear, commercially focused brand and marketing recommendations.
• Work across brand tracking, brand health, brand equity and segmentation, ensuring outputs drive real decisions.
• Design and review questionnaires to make sure the right brand and comms questions are being asked.
• Combine survey data with media, social and search data to build a complete picture of brand performance.
• Present findings in PowerPoint to insight, marketing and wider commercial teams, often cross-functionally.
• Coach and support internal teams, including Senior Executives and Client Executives, typically with 1-2 direct reports.
• Collaborate closely with processing and charting teams to deliver accurate, timely and impactful work.

Your Skills And Experience

You will be a strong fit if you have:

• Solid experience in quantitative research focused on brands, ideally within an agency or consultancy environment.
• Hands-on experience with brand tracking, brand health or brand equity studies, from design through to delivery.
• Confidence working with data in Excel and using tools such as SPSS or similar for data mining and analysis.
• Experience writing or refining questionnaires, especially for brand and communications research.
• A proven ability to build a compelling narrative from data, not just report the numbers.
• Strong communication skills, comfortable presenting to insight teams and wider marketing or brand stakeholders.
• Good project and time management, able to balance multiple accounts and deadlines.
• A genuine curiosity about marketing, brand management and what makes strong brands stand out.
• Experience mentoring or coaching more junior team members is highly beneficial.

What They Offer

• Salary between £45,000 and £55,000, depending on location and experience.
• Hybrid working, with around 2 to 3 days per week in London
• Competitive pension and 25 days holiday, plus additional benefits.
• Potential for on-the-spot bonuses linked to strong performance.
• The chance to work on a diverse portfolio of well-known brands across multiple sectors.
• Clear progression opportunities, with exposure to senior stakeholders and a pathway towards senior client leadership.
• A collaborative, supportive culture that values learning, development and knowledge sharing.

How To Apply

If you are a brand-focused quantitative insights professional interested in this Research Manager opportunity, please apply with your CV to find out more.

To Apply for this Job Click Here