Staff Data Engineer
Boston / $80 - $95 hour
INFO
$80 - $95
LOCATION
Boston
Contract
Staff Data Engineer
Term: 12 Months, extension likely
Rate: $80/hr - $95/hr (dependent on experience)
Location: Remote (Boston, MA preferable)
Utilization: 40hrs / week
About the Company
A rapidly growing biotech organization is leveraging advanced computation, modern cloud infrastructure, and cross‑functional scientific collaboration to accelerate development of next‑gen therapeutic platforms. The team blends data engineering, biology, chemistry, and applied analytics to enable high‑impact scientific decision‑making. The environment is fast‑paced, interdisciplinary, and driven by curiosity, data integrity, and continuous improvement.
About the Role
The company is seeking a Staff Data Engineer who can partner closely with scientists and quantitative teams to design and operate data systems that power experimental research and analysis. You will translate research workflows into reliable ETL/ELT pipelines, create scalable cloud‑based data architectures, and ensure strong governance and validation practices. This role is essential in building a modern data lakehouse that supports diverse experimental data and accelerates scientific insights.
What You'll Do
- Work with scientists across multiple research functions to gather requirements and understand data structures, experimental workflows, and analysis needs.
- Architect scalable data schemas and optimize warehouse performance for analytical and cost efficiency.
- Build, automate, and maintain ETL/ELT pipelines within a modern cloud ecosystem.
- Deploy infrastructure and data pipelines using IaC tools such as Terraform, Helm, and Kubernetes.
- Support analytics teams by ensuring high availability, reliability, and clarity of underlying data.
- Identify bottlenecks, enhance performance, and improve end‑to‑end data quality.
- Contribute to data governance, validation, monitoring, and compliance frameworks.
- Stay current with best practices in cloud computing, DevOps, and modern data engineering patterns.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field (or equivalent experience).
- Strong experience building and maintaining data pipelines in production environments.
- Ability to translate scientific or analytical requirements into optimized data models.
- Proficiency in Python and associated data libraries (e.g., Pandas, NumPy).
- Understanding of warehousing concepts across relational and NoSQL systems.
- Experience with Terraform or similar Infrastructure‑as‑Code tools.
- Familiarity with CI/CD pipelines and cloud‑native deployment workflows.
- Strong communication skills with the ability to collaborate across technical and scientific teams.
- Comfort operating in dynamic environments where priorities can change quickly.
Preferred Qualifications
- Master's degree in a related computational or scientific field.
- Hands‑on experience with major cloud platforms (GCP, AWS, or Azure), including large‑scale warehouse technologies.
- Experience with Docker, Kubernetes, or container orchestration frameworks.
- Familiarity with modern UI or data visualization frameworks (e.g., Streamlit, Angular).
- Experience building APIs (REST/gRPC) and working with Protocol Buffers.
- Understanding of regulated data environments (e.g., HIPAA, ELN/Compliance).
- Exposure to MLOps workflows and model deployment practices.
- Experience converting notebooks into production data pipelines.
- Knowledge of scientific data types (e.g., genomics, proteomics, assay data).
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Staff Data Engineer
Boston
$80 - $95
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Staff Data Engineer
Term: 12 Months, extension likely
Rate: $80/hr – $95/hr (dependent on experience)
Location: Remote (Boston, MA preferable)
Utilization: 40hrs / week
About the Company
A rapidly growing biotech organization is leveraging advanced computation, modern cloud infrastructure, and cross‑functional scientific collaboration to accelerate development of next‑gen therapeutic platforms. The team blends data engineering, biology, chemistry, and applied analytics to enable high‑impact scientific decision‑making. The environment is fast‑paced, interdisciplinary, and driven by curiosity, data integrity, and continuous improvement.
About the Role
The company is seeking a Staff Data Engineer who can partner closely with scientists and quantitative teams to design and operate data systems that power experimental research and analysis. You will translate research workflows into reliable ETL/ELT pipelines, create scalable cloud‑based data architectures, and ensure strong governance and validation practices. This role is essential in building a modern data lakehouse that supports diverse experimental data and accelerates scientific insights.
What You’ll Do
- Work with scientists across multiple research functions to gather requirements and understand data structures, experimental workflows, and analysis needs.
- Architect scalable data schemas and optimize warehouse performance for analytical and cost efficiency.
- Build, automate, and maintain ETL/ELT pipelines within a modern cloud ecosystem.
- Deploy infrastructure and data pipelines using IaC tools such as Terraform, Helm, and Kubernetes.
- Support analytics teams by ensuring high availability, reliability, and clarity of underlying data.
- Identify bottlenecks, enhance performance, and improve end‑to‑end data quality.
- Contribute to data governance, validation, monitoring, and compliance frameworks.
- Stay current with best practices in cloud computing, DevOps, and modern data engineering patterns.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field (or equivalent experience).
- Strong experience building and maintaining data pipelines in production environments.
- Ability to translate scientific or analytical requirements into optimized data models.
- Proficiency in Python and associated data libraries (e.g., Pandas, NumPy).
- Understanding of warehousing concepts across relational and NoSQL systems.
- Experience with Terraform or similar Infrastructure‑as‑Code tools.
- Familiarity with CI/CD pipelines and cloud‑native deployment workflows.
- Strong communication skills with the ability to collaborate across technical and scientific teams.
- Comfort operating in dynamic environments where priorities can change quickly.
Preferred Qualifications
- Master’s degree in a related computational or scientific field.
- Hands‑on experience with major cloud platforms (GCP, AWS, or Azure), including large‑scale warehouse technologies.
- Experience with Docker, Kubernetes, or container orchestration frameworks.
- Familiarity with modern UI or data visualization frameworks (e.g., Streamlit, Angular).
- Experience building APIs (REST/gRPC) and working with Protocol Buffers.
- Understanding of regulated data environments (e.g., HIPAA, ELN/Compliance).
- Exposure to MLOps workflows and model deployment practices.
- Experience converting notebooks into production data pipelines.
- Knowledge of scientific data types (e.g., genomics, proteomics, assay data).
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Data Engineer
$50 - $75
+ Data Engineering
ContractNew York
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Harnham, the leading recruitment specialist in Data and AI is currently partnering with a mission-driven firm delivering strategic and innovative solutions that help organizations thrive in a digital-first world.
- Role – Data Engineer
- Location – Fully Remote (EST preferred)
- Pay – $50-$75 per hour
- Length – 3-month contract starting in January
- Utilization – 40 hr/week
- Benefits – Health, dental, vision, 401k for W2 employees
As a Data Engineer, you will build and optimize ETL pipelines to move data from Salesforce and Sage into Microsoft Business Central within Dynamics 365.
Key Responsibilities:
- Design and implement ETL pipelines for Salesforce and Sage data integration.
- Ensure data accuracy, consistency, and reliability across systems.
- Collaborate with stakeholders to define data requirements and workflows.
- Optimize data processing for performance and scalability.
- Monitor and troubleshoot data flows to maintain system integrity.
- Document processes and provide knowledge transfer to internal teams.
Requirements:
- Proven experience in ETL development and data engineering.
- Strong knowledge of Salesforce and Sage data structures.
- Experience with Microsoft Dynamics 365 Business Central.
- Proficiency in SQL and data transformation tools.
- Ability to work independently in a remote environment.
- Excellent communication and problem-solving skills.
This is an excellent opportunity for a skilled Data Engineer to contribute to a high-impact integration project.
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Sr. Generative AI Engineer
$85 - $125
+ Data Science & AI
ContractTexas
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Senior Gen AI Engineer
Harnham, a leading recruitment specialist in Data and AI, is partnering with a Databricks consulting firm that delivers enterprise-grade GenAI and LLM solutions for end clients. They are seeking a Senior Gen AI Engineer with at least five years of Databricks experience and the ability to communicate confidently with both technical and non-technical stakeholders. The ideal candidate does not need to come from a specific industry, but must have hands-on production experience with GenAI applications, including RAG systems, LLM development, or agentic frameworks.
This role can be performed remotely or in a hybrid capacity from Dallas, Texas (2-3 days onsite). It is a 12-month contract with strong potential for extension, offering $85-$125 per hour for 40 hours per week. W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As a Senior Gen AI Engineer, you will drive end-to-end delivery of GenAI projects within the Databricks ecosystem, working closely with both Databricks teams and end clients. Responsibilities include scoping, building, and deploying GenAI solutions; developing RAG and LLM-based applications that leverage enterprise data; integrating vector databases and agentic frameworks such as LangChain; and optimizing LLM workflows for production. You will help clients productionize GenAI systems using best practices in MLOps, CI/CD, and data pipeline automation, while collaborating with broader data teams on architecture, tooling, and governance. This role also includes providing mentorship and helping clients adopt Databricks-native GenAI capabilities effectively.
Qualified candidates will have 5+ years of experience in AI/ML engineering or data systems, including at least 1-2 years of hands-on GenAI production work. Strong Databricks proficiency is essential, including Spark, MLflow, and Unity Catalog. Candidates should also be skilled in Python, LangChain, OpenAI APIs, Hugging Face, and vector databases such as FAISS, Pinecone, Weaviate, or Chroma. A solid understanding of cloud platforms (AWS, Azure, or GCP) and DevOps tooling is required, along with excellent communication skills for client-facing delivery. Preferred certifications include Databricks ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This opportunity is ideal for someone who has successfully designed, built, and deployed generative AI solutions and wants to apply that expertise in a hands-on consulting environment.
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Data Engineer (Consultant)
$75 - $120
+ Data Engineering
ContractNew York
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Data Engineer (Consultant) – Professional Services
Role Overview
As a Consulting Data Engineer, you’ll play a pivotal role in helping enterprises modernize how they manage and utilize big data and AI. You’ll partner closely with clients to design modern data architectures, guide cloud and platform migrations, and build advanced analytics solutions that generate real business impact. This role goes beyond technical delivery-you’ll help organizations transform their data into actionable insights and drive meaningful innovation. If you thrive in dynamic environments, enjoy solving complex challenges, and want to make a measurable impact, this position offers an exciting opportunity.
What You’ll Do
In this role, you’ll lead high-impact projects that enable clients to modernize their data platforms and accelerate AI adoption. You’ll design and implement scalable, cloud-based architectures that support advanced analytics and machine learning initiatives, while collaborating with technical teams and business stakeholders to ensure seamless delivery and tangible results. You’ll act as a trusted advisor, guiding clients through data migrations, deployments, and best practices, and you’ll contribute insights and feedback to improve solution quality and ongoing innovation.
What We’re Looking For
We’re seeking someone with at least six years of experience in data engineering, analytics, or cloud architecture, along with strong coding skills in Python or Scala. You should have expertise with at least one major cloud platform-AWS, Azure, or GCP-and familiarity with others. Deep knowledge of distributed computing frameworks like Apache Spark is essential, as is experience with CI/CD, MLOps, and architecting end-to-end data solutions. Databricks experience is a must. Exceptional communication and problem-solving abilities are also critical for success in this role.
Contract Details
This is a contract role with an initial six-month term, full-time at 40 hours per week, with a strong possibility for extension.
Why Join Us?
You’ll work on projects that shape the future of data and AI while collaborating with passionate experts who prioritize continuous learning and innovation. Your work will deliver measurable impact for organizations looking to harness the full potential of their data. If this excites you, we encourage you to apply.
Please Note
We will not be utilizing third-party agencies for this role.
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.NET Software Engineer
Manhattan
$60 - $75
+ Data Engineering
ContractManhattan, New York
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Responsibilities
- Design, develop, test, and deploy .NET applications that support pharmaceutical business processes
- Collaborate with cross functional teams including QA, project management, data engineering, and business stakeholders
- Maintain and enhance existing enterprise software solutions
- Implement secure coding practices and ensure applications meet industry standards and regulatory requirements
- Troubleshoot production issues and deliver timely resolutions
- Participate in code reviews and contribute to improving coding standards
- Integrate applications with databases, APIs, and third party systems
- Create technical documentation for new and existing applications
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field
- Strong experience with .NET Core or .NET 6 and above
- Proficiency in C#, REST APIs, and Microsoft SQL Server
- Experience with cloud platforms such as Azure or AWS
- Familiarity with Agile or Scrum methodologies
- Strong understanding of secure coding principles
- Ability to work independently in a fast paced and regulated industry
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Data Analyst
New York
$60 - $65
+ Advanced Analytics & Marketing Insights
ContractNew York
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Data Analyst (Contract | Fully Remote in US | $65/hour | 6-12 Month Contract)
Our client is seeking a Data Analytics Analyst to join their team on a fully remote, contract basis. This individual contributor will play a key role in supporting strategic and operational decision-making by aggregating, analyzing, and translating complex data into actionable insights for stakeholders across the organization, including senior leadership.
This is an excellent opportunity for a data-driven professional who enjoys building dashboards, uncovering trends, and partnering cross-functionally to improve processes and performance.
What You’ll Be Doing
-
Accessing, reviewing, and generating reports from multiple enterprise systems
-
Developing and maintaining dashboards and visualizations using tools such as Power BI and Tableau
-
Extracting, transforming, and analyzing data using SQL and cloud-based platforms
-
Monitoring volume and performance trends; identifying drivers and proactively sharing insights
-
Creating presentations and data storytelling materials for business and executive audiences
-
Collaborating with cross-functional partners (Finance, Marketing, Product, IT, Operations, etc.) to support deep-dive analyses and improvement initiatives
-
Supporting operational metrics reporting and process improvement efforts aimed at increasing efficiency and reducing escalations
-
Leveraging AI and emerging technologies to enhance analytics workflows and outcomes
-
Evaluating policies and processes and recommending data-driven enhancements
What We’re Looking For
-
Proven experience in data analytics and business intelligence
-
Strong proficiency in Excel and PowerPoint
-
Experience with Power BI and/or Tableau
-
Strong working knowledge of SQL and modern data platforms
-
Strong analytical thinking, communication, and stakeholder management skills
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Analytics Engineer
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Engineer
London
Up to £65,000
We are partnering with a membership platform who have big plans for their global growth!
ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:
-Design and build tested and documented data models in dbt
-Optimise the build of the transformation layer for scalability
-Work with multiple teams and stakeholders, including Data Analysts and Data Scientists to understand needs and turn them into solutions
-Maintain data security, consistency and accuracy through monitoring and testing
-Automate data workflows, version control and deployment practices across the stack
-Uphold clear documentation for datasets, data flows and definitions to support data literacy
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
-Strong sills in SQL and experience with modern data warehouses (e.g. BigQuery)
-3+ years of experience in Analytics Engineering or a related field
-Technical experience with advanced modelling techniques in dbt
-Understanding of ETL/ELT processes
-Experience with BI semantic layers and data visualisation tools
-Understanding of dimensional modelling, analytics and data warehousing principles best practices
-Clear communication skills and ability to work with multiple teams
APPLY BELOW!
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Senior Research Manager
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentWest Midlands
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Senior Research Manager
West Midlands – Hybrid (2-3 days per week)
£45,000-£50,000
This is an exciting opportunity to take a lead role within a high‑performing insights team, where you will drive brand and communications research for major consumer brands. If you are motivated by shaping strategy, building strong client partnerships, and delivering high‑impact quantitative insights, this Senior Research Manager role offers genuine scope for influence and progression.
The Company
They are a global insights organisation recognised for helping brands understand how people think, feel, shop and communicate. Their work blends human understanding with advanced quantitative research to unlock growth across sectors including FMCG, retail, technology, beauty and more. They foster a collaborative, open culture where learning, curiosity and innovation are encouraged. With a diverse portfolio of projects, they provide a platform for you to make a tangible impact on client decision‑making.
The Role
* Lead quantitative brand and communications projects from brief to delivery.
* Build strong relationships with client stakeholders and act as a trusted insights partner.
* Develop compelling, commercially focused insights that inform brand and marketing strategy.
* Take ownership of timelines, budgets and project quality.
* Present clear stories and recommendations that influence senior decision‑makers.
* Collaborate with internal teams to deliver robust, innovative research solutions.
* Support and mentor junior colleagues, contributing to team development.
* Drive a positive, proactive working culture.
Your Skills and Experience
* Strong commercial experience in quantitative research, with a focus on brand and communications.
* Hands‑on experience managing full research cycles, including design, fieldwork oversight, analysis and debriefing.
* Proven ability to translate data into strategic, actionable insights.
* Confident client management skills and the ability to influence stakeholders.
* Excellent written and verbal communication, with experience leading debriefs.
* A collaborative mindset and an interest in supporting junior team members.
* A genuine passion for brands, consumers and evidence‑led storytelling.
What They Offer
* Competitive salary and performance‑linked rewards.
* Hybrid working based in London with flexibility.
* Exposure to high‑profile brands and varied project types.
* Clear opportunities for progression in a supportive, growth‑minded environment.
* A culture that values wellbeing, inclusion and diversity of thought.
How to Apply
If you would like to register your interest for this position send your CV
To Apply for this Job Click Here
Analytics Engineer
Manchester
£60000 - £65000
+ Data Engineering
PermanentManchester, Greater Manchester
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ANALYTICS ENGINEER
£55,000-£65,000 + BENEFITS
PIMARILY REMOTE
An opportunity to join a subscriber based software company as an Analytics Engineer
THE COMPANY:
Over the past few years, this company has been undergoing the process of modernisation and has invested in migrating to DBT and a more modern tech stack. They are now keen for a dedicated Analytics Engineer to establish best practice and create a product environment.
THE ROLE:
A remote working Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Redshift
- Utilise tools like Fivetran
- Transform data using DBT
YOUR SKILLS AND EXPERIENCE:
A successful Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Data Cloud Tech experience
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £65,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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Research Manager – Data Services
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Research Manager
London | 45000 to 55000
This is an excellent opportunity to join a high‑growth research and technology business that is transforming how organisations understand consumers, citizens and audiences. You will work across diverse clients, take ownership of end‑to‑end quantitative projects, and play a key role in delivering high‑quality insight using innovative research technology.
The Company
They are a fast‑scaling research and data company built around modern technology, smart automation and robust quantitative methods. Their platform delivers high‑quality polls, surveys and data outputs at speed, supporting commercial brands, non‑profits and social organisations. The team brings together strong research expertise and engineering talent, creating a collaborative environment that is both analytical and forward‑thinking. They have built a strong reputation in the market and continue to grow rapidly.
The Role
* Independently manage and deliver quantitative research projects across sectors including political, consumer and multi‑market studies.
* Lead client communication from project scoping through to presenting results and insights.
* Manage client accounts, acting as the main point of contact and understanding broader strategic needs.
* Create data tables and outputs using internal tools and reporting platforms.
* Partner with consulting and analytics teams on larger insight programmes, occasionally leading these end‑to‑end.
* Mentor and develop junior researchers, ensuring strong delivery standards.
* Design high‑quality surveys, manage sampling and ensure data integrity across all stages.
* Support the delivery of brand tracking, brand lift, ad testing, segmentation and multi‑country research programmes.
Your Skills And Experience
* Strong experience delivering quantitative market research projects from brief to debrief.
* Confident designing surveys, managing fieldwork and producing data tables and cross‑breaks.
* Comfortable cleaning raw data and ensuring outputs meet strong quality standards.
* Strong Excel capability; familiarity with tools such as DisplayR is beneficial.
* Commercial awareness and ability to support quoting, proposals and RFP responses.
* Able to manage client conversations, challenge assumptions and provide clear recommendations.
* Comfortable mentoring junior team members and supporting their development.
* Detail‑oriented, proactive and committed to delivering high‑quality research.
What They Offer
* Salary between 45000 and 55000.
* Hybrid working with four days a week in their London office
* Exposure to a wide variety of clients across commercial, political and social sectors.
* Opportunity to work with innovative research technology, including AI‑powered tools.
* Benefits including private healthcare, 25 days annual leave and pension contributions.
* A collaborative, inclusive environment with strong learning and development opportunities.
How To Apply
If you are looking to take ownership of impactful quantitative research projects within a modern, innovative research team, apply now to learn more.
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Research Manager – Brand Tracking
London
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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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
Research Manager – Analytics
London
£45000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)
We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.
As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.
The Role
This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.
Key Responsibilities
-
Own analytics workstreams across major research projects
-
Deliver advanced analysis including segmentation, factor reduction and regression modelling
-
Set standards and best practice for analytics and segmentation
-
Automate repeat analytical tasks for trackers and long-running projects
-
Run end-to-end research projects (primarily quant; some qual/mixed methods)
-
Contribute to proposals and RFPs
About You
Essential
-
3+ years’ experience in analytics and/or research using survey data
-
Hands-on experience with regression, factor analysis and segmentation techniques
-
Strong data wrangling, cleaning and weighting skills
-
Proficiency in R or Python for analysis and visualisation
-
Curious, exploratory approach to finding insight in data
Nice to have
-
Experience with Bayesian as well as frequentist methods
-
Understanding of the full market research project lifecycle
Interview Process
-
Screening questions
-
Talent interview
-
Hiring Manager interview
-
In-person task (with opportunity to meet Founder & C-suite)
Find out more and apply via the link below.
To Apply for this Job Click Here
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