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Senior Data Analyst – Marketing Analytics
Location: NYC – Hybrid | Salary: $120,000 – $145,000

We’re partnered with an innovative technology company that’s redefining how people engage with live and digital experiences.

With a strong commitment to data-driven decision-making, their Marketing Analytics function plays a central role in shaping growth strategy, optimising performance across channels, and deepening understanding of the customer journey.

They’re now seeking a Senior Data Analyst to join this high-impact team – someone who can bridge the gap between marketing strategy, business objectives, and analytical insight to drive measurable results.

The Role

• Partner closely with Growth, Marketing, and Product teams to identify opportunities, measure campaign performance, and guide strategic decision-making.

• Own analytical projects end-to-end, from scoping business questions to delivering actionable insights and recommendations.

• Analyse and optimise customer acquisition, engagement, and retention across multiple marketing channels.

• Develop and maintain core marketing datasets and dashboards using tools such as Looker, dbt, and Hex.

• Evaluate campaign and channel effectiveness through experimentation and advanced statistical techniques.

• Communicate complex analytical findings clearly and persuasively to both technical and non-technical stakeholders.

• Act as a thought partner, using analytics to influence broader marketing and growth strategy.

What You’ll Bring

• 4+ years’ experience in Marketing Analytics, Growth Analytics, or a related data-driven role (ideally within tech, ecommerce, or consumer products).

• Strong SQL skills and proficiency in Python or R for data manipulation and modelling.

• Proven experience analysing marketing funnel performance, attribution, and ROI.

• Hands-on experience with experimentation, A/B testing, or incrementality analysis.

• Strong understanding of digital marketing channels, CRM, and performance metrics.

• Excellent storytelling and presentation skills – able to translate data into strategic insight.

• A proactive, collaborative mindset and a passion for driving business impact through analytics.

Desirable: experience in B2B2C environments, working with marketing automation or attribution platforms, and exposure to data infrastructure (dbt, event tracking, marketing APIs).

Tech Stack

Airflow | Fivetran | Python | dbt | Redshift | mParticle | Eppo | Mixpanel | Looker | Hex | GitLab

If you’re passionate about using data to drive marketing performance and influence strategic growth decisions, this is an opportunity to make a tangible impact within a forward-thinking organisation.

Get in touch with the Harnham team today to learn more.

#MarketingAnalytics #DataAnalytics #GrowthAnalytics #Harnham #DataJobs #AnalyticsCareers

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst – Product Analytics
Location: NYC – Hybrid | Salary: $120,000 – $145,000

We’re working with a fast-growing technology company that’s transforming how people experience live and digital events.

They’re on a mission to create seamless, data-driven experiences for millions of users, powered by an exceptional Product Analytics function. This team sits at the centre of the business – driving strategic decision-making across Product, Engineering, and Design through insight, experimentation, and deep analytical thinking.

They’re now looking for a Senior Data Analyst who can connect data to strategy, thrive in ambiguity, and identify high-impact opportunities that drive both user engagement and business growth.

The Role

• Partner with Product, Design, and Engineering teams to shape product strategy using data-led insights.

• Lead analytical projects end-to-end, from opportunity sizing to experimentation and performance diagnostics.

• Design and evaluate A/B tests to measure product changes and uncover growth opportunities.

• Build and optimise datasets and analytical tools (e.g. Looker, dbt, Hex) to enhance decision-making.

• Act as a strategic thought partner, ensuring analytics sits at the core of key product decisions.

• Mentor peers and champion a culture of curiosity, collaboration, and analytical excellence.

What You’ll Bring

• 4+ years’ experience in Product Analytics, Data Science, or similar roles (ideally within tech, ecommerce, or consumer platforms).

• Strong SQL skills and proficiency in Python or R.

• Experience designing and interpreting A/B tests and experimentation frameworks.

• Excellent communication and storytelling skills – able to translate complex data into clear, actionable insights.

• Strong product intuition and systems-thinking mindset, connecting data to wider business strategy.

• Collaborative and proactive approach to working with cross-functional teams.

Desirable: experience in B2B2C environments, building data infrastructure (dbt, event tracking), or AI-driven products.

Tech Stack

Airflow | Fivetran | Python | dbt | Redshift | mParticle | Eppo | Mixpanel | Looker | Hex | GitLab

If you’re passionate about using data to shape exceptional product experiences and want to join a team where analytics drives meaningful change, get in touch with the Harnham team today.

#DataAnalytics #ProductAnalytics #AnalyticsJobs #Harnham #DataScience #Hiring

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Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

To Apply for this Job Click Here

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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

Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

To Apply for this Job Click Here

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

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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

Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

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 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

Senior Software Engineer – Go (CDN / Distributed Systems)

Remote – US or Canada

$190-240k base + RSUs

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer (Go) to help design, scale, and optimize a next-generation global CDN.

This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

If you’re passionate about distributed systems, high-performance networking, and building software that powers millions of developers, this is an opportunity to have a direct impact on how the web runs at scale.

The Role

As part of the CDN Infrastructure group, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and collaborate closely with product and infrastructure teams to deliver high-impact improvements in routing, caching, and network performance.

You’ll work across key initiatives that include:

• Evolving an internal CDN framework into a fully production-grade product that customers can use directly.
• Designing systems that enable incremental customer migration onto the platform.
• Scaling redirect handling from thousands to billions of requests per site.
• Adding HTTP/3 support and exploring post-quantum cryptography for next-generation security.
• Driving performance optimization across the edge network and core infrastructure.

This is a role for engineers who love building systems that operate at global scale, thrive on technical depth, and want to shape the future of web infrastructure.

What We’re Looking For

We’re looking for backend engineers with strong distributed systems experience and the ability to design, implement, and scale complex infrastructure.

You’ll bring:

• Proven experience with distributed systems, CDN, caching, or ingress infrastructure.
• Go experience in production (C/C++ backgrounds highly transferable).
• Deep understanding of the HTTP layer and modern cloud networking.
• Experience running systems at scale in a cloud product or infrastructure environment.
• Bonus: experience in Linux kernel tuning, performance optimization, or relevant open-source contributions.

This role is ideal for engineers who are hands-on, performance-oriented, and eager to work on problems of scale.

Why Join

You’ll join a team that values technical excellence, autonomy, and impact-where your work directly shapes how developers build and deploy at the edge.

We operate globally, handle traffic at massive scale, and give engineers the ownership to build systems that redefine what’s possible in web performance and reliability.

We’re a remote-first organization that empowers engineers to make meaningful architectural decisions, ship quickly, and see their impact on real-world products at scale.

To Apply for this Job Click Here