Senior Researcher (Contract)
City of London / £400 - £400 day
INFO
£400 - £400
LOCATION
City of London
Contract
Senior Researcher, Commercial Insights Lead (Contract)
£400 per day (Inside IR35)
3-month Contract
London, Aldgate
Hybrid - 2 days in the office
Notice Period: Up to 4 weeks
This is a high-impact freelance opportunity for a senior researcher to shape how a large organisation understands its customers, markets, and growth opportunities. You will lead commercial insight work that directly informs strategic decisions, with regular exposure to senior stakeholders and the chance to influence outcomes across products, channels, and audiences.
The Company
They are a well-established organisation with a strong focus on customer and market intelligence to drive commercial performance. Insight plays a central role in decision-making, with research embedded into strategic planning rather than operating as a support function. The team values rigour, curiosity, and the ability to translate complexity into clear direction. This contract sits within a mature insight environment with senior-level sponsorship.
The Role and Deliverables
- Lead commercial and customer research across the Customer and Market Intelligence programme.
- Define hypotheses and autonomously structure ambiguous, complex research problems.
- Design and deliver qualitative and quantitative research to uncover customer behaviour and market dynamics.
- Synthesize findings into clear, commercially focused recommendations and actionable next steps.
- Present insights and strategic recommendations to Director-level stakeholders on a regular basis.
- Contribute to the ongoing optimisation of insight frameworks such as segmentation, journey mapping, or voice of customer.
Your Skills & Experience
- Strong experience as a hands-on senior researcher, operating without line management responsibility.
- Proven ability to connect research outputs to commercial outcomes and strategic decisions.
- Deep expertise in qualitative and quantitative methodologies, including surveys, interviews, focus groups, and experimentation.
- Confidence working with data using tools such as R or Python, SQL, and Excel, with the ability to interpret and synthesise results.
- Clear and compelling storytelling skills, particularly in executive-facing PowerPoint presentations.
- Strong stakeholder management skills, with experience influencing senior leaders.
- Background or exposure to behavioural science, psychology, sociology, statistics, CX, user research, or market research is highly valued.
- Consulting or agency-side research experience is advantageous.
How to Apply
Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.
CONTACT
Ananya Gupta
Recruitment Executive
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THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
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A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Data modelling techniques – e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
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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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SENIOR ANALYTICS ENGINEER
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An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
THE ROLE:
A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Data modelling techniques – e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £75,000 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.
To Apply for this Job Click Here
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To Apply for this Job Click Here
SENIOR ANALYTICS ENGINEER
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PIMARILY REMOTE
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
THE ROLE:
A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Data modelling techniques – e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £75,000 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.
To Apply for this Job Click Here
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- Strong commercial experience writing complex SQL for analytics and data modelling.
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- Hands on experience using dbt for data transformation.
- Experience working with cloud data warehouses, ideally Snowflake.
- Comfortable using Python or similar languages for data logic and problem solving.
- A builder mindset with a clear focus on technical delivery.
BENEFITS
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- Salary between £60,000 – £70,000 – depending on experience
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HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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To Apply for this Job Click Here
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This is a rare opportunity to step into a hands-on analytics engineering role where your work will have immediate impact. You will be central to rebuilding and strengthening a core data capability, shaping how analytics supports product and customer decisions across the business.
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They are a well-established UK mobile network operator with a strong digital and data-led culture. Analytics plays a key role in how products are developed and improved, with teams encouraged to focus on practical delivery rather than process.
THE ROLE
As an Analytics Engineer you will join a small but critical core analytics team that supports multiple product areas across the business.
Specifically, you can expect to be involved in the following:
- Design, build and maintain analytics ready data models used across the organization.
- Develop transformations using dbt on a Snowflake data platform.
- Apply best practice dimensional modelling to create reliable, well-structured datasets.
SKILLS AND EXPERIENCE
The successful Analytics Engineer will have the following skills and experience:
- Strong commercial experience writing complex SQL for analytics and data modelling.
- Proven experience designing dimensional data models, ideally using Kimball principles.
- Hands on experience using dbt for data transformation.
- Experience working with cloud data warehouses, ideally Snowflake.
- Comfortable using Python or similar languages for data logic and problem solving.
- A builder mindset with a clear focus on technical delivery.
BENEFITS
The successful Analytics Engineer will receive the following benefits:
- Salary between £60,000 – £70,000 – depending on experience
- Remote-first working model with 1 day a month in office, in Uxbridge.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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+ Data Engineering
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To Apply for this Job Click Here
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Fully Remote (1 day a month in Uxbridge)
This is a rare opportunity to step into a hands-on analytics engineering role where your work will have immediate impact. You will be central to rebuilding and strengthening a core data capability, shaping how analytics supports product and customer decisions across the business.
THE COMPANY
They are a well-established UK mobile network operator with a strong digital and data-led culture. Analytics plays a key role in how products are developed and improved, with teams encouraged to focus on practical delivery rather than process.
THE ROLE
As an Analytics Engineer you will join a small but critical core analytics team that supports multiple product areas across the business.
Specifically, you can expect to be involved in the following:
- Design, build and maintain analytics ready data models used across the organization.
- Develop transformations using dbt on a Snowflake data platform.
- Apply best practice dimensional modelling to create reliable, well-structured datasets.
SKILLS AND EXPERIENCE
The successful Analytics Engineer will have the following skills and experience:
- Strong commercial experience writing complex SQL for analytics and data modelling.
- Proven experience designing dimensional data models, ideally using Kimball principles.
- Hands on experience using dbt for data transformation.
- Experience working with cloud data warehouses, ideally Snowflake.
- Comfortable using Python or similar languages for data logic and problem solving.
- A builder mindset with a clear focus on technical delivery.
BENEFITS
The successful Analytics Engineer will receive the following benefits:
- Salary between £60,000 – £70,000 – depending on experience
- Remote-first working model with 1 day a month in office, in Uxbridge.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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To Apply for this Job Click Here
Role: Analytics Engineer
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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.
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- You will ingest and transform data in snowflake using DBT
- You will support the building of the data warehouse in Snowflake
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- Essential to have 3+ years experience in:
- SQL
- Python
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- Cloud techs such as Snowflake, BigQuery or Databricks
- Dimensional Modelling such as Kimball
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- CI/CD pipelines
- Kafka; real-time streaming
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There are 4 stages to the process:
- A 30 minute discussion about experience
- An hour take home exercise
- A technical interview with the Data Director and Analytics Engineer
To Apply for this Job Click Here
Senior Analytics Engineer
Edinburgh
£70000 - £75000
+ Data Engineering
PermanentEdinburgh
To Apply for this Job Click Here
SENIOR ANALYTICS ENGINEER
£70,000-£75,000 + BENEFITS
PIMARILY REMOTE
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
THE ROLE:
A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Data modelling techniques – e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £75,000 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.
To Apply for this Job Click Here
Senior Analytics Engineer
Manchester
£70000 - £75000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
SENIOR ANALYTICS ENGINEER
£70,000-£75,000 + BENEFITS
PIMARILY REMOTE
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
THE ROLE:
A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Data modelling techniques – e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £75,000 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.
To Apply for this Job Click Here
Senior Researcher (Contract)
City of London
£400 - £400
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
Senior Researcher, Commercial Insights Lead (Contract)
£400 per day (Inside IR35)
3-month Contract
London, Aldgate
Hybrid – 2 days in the office
Notice Period: Up to 4 weeks
This is a high-impact freelance opportunity for a senior researcher to shape how a large organisation understands its customers, markets, and growth opportunities. You will lead commercial insight work that directly informs strategic decisions, with regular exposure to senior stakeholders and the chance to influence outcomes across products, channels, and audiences.
The Company
They are a well-established organisation with a strong focus on customer and market intelligence to drive commercial performance. Insight plays a central role in decision-making, with research embedded into strategic planning rather than operating as a support function. The team values rigour, curiosity, and the ability to translate complexity into clear direction. This contract sits within a mature insight environment with senior-level sponsorship.
The Role and Deliverables
- Lead commercial and customer research across the Customer and Market Intelligence programme.
- Define hypotheses and autonomously structure ambiguous, complex research problems.
- Design and deliver qualitative and quantitative research to uncover customer behaviour and market dynamics.
- Synthesize findings into clear, commercially focused recommendations and actionable next steps.
- Present insights and strategic recommendations to Director-level stakeholders on a regular basis.
- Contribute to the ongoing optimisation of insight frameworks such as segmentation, journey mapping, or voice of customer.
Your Skills & Experience
- Strong experience as a hands-on senior researcher, operating without line management responsibility.
- Proven ability to connect research outputs to commercial outcomes and strategic decisions.
- Deep expertise in qualitative and quantitative methodologies, including surveys, interviews, focus groups, and experimentation.
- Confidence working with data using tools such as R or Python, SQL, and Excel, with the ability to interpret and synthesise results.
- Clear and compelling storytelling skills, particularly in executive-facing PowerPoint presentations.
- Strong stakeholder management skills, with experience influencing senior leaders.
- Background or exposure to behavioural science, psychology, sociology, statistics, CX, user research, or market research is highly valued.
- Consulting or agency-side research experience is advantageous.
How to Apply
Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.
To Apply for this Job Click Here
Senior Analytics Engineer
Nottingham
£70000 - £75000
+ Data Engineering
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
SENIOR ANALYTICS ENGINEER
£70,000-£75,000 + BENEFITS
PIMARILY REMOTE
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY:
Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
THE ROLE:
A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven teams
YOUR SKILLS AND EXPERIENCE:
A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholder
- Data modelling techniques – e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £75,000 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.
To Apply for this Job Click Here
Analytics Engineer
London
£60000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
ANALYTICS ENGINEER
LONDON/REMOTE (1 DAY PER MONTH)
UP TO £70,000
This is a rare opportunity to join a lean, high impact core data team at a pivotal moment. They are rebuilding their central analytics capability, and this role will play a key part in shaping how data is modelled, transformed and used across multiple product areas. You will be trusted to get hands on from day one and have real influence over technical direction and best practice.
ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:
- Build and maintain robust analytics data models that support reporting, experimentation and product insight
- Design and implement dimensional models using best practice approaches such as Kimball, with exposure to Data Vault where appropriate
- Develop transformations using dbt on a Snowflake data platform
- Work closely with data infrastructure, product and analytics stakeholders to deliver reliable, well structured datasets
- Take ownership of data quality, testing and documentation within the core analytics layer
- Contribute to rebuilding and strengthening the central analytics engineering capability
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience writing complex SQL for analytics and data modelling
- Proven experience designing and building dimensional data models for analytics use cases
- Hands on experience using dbt for data transformations
- Experience working with modern cloud data warehouses, ideally Snowflake
- Comfortable using Python or a similar language for logical problem solving and data tasks
- A practical, hands on mindset with a focus on building rather than pure stakeholder management
APPLY BELOW!
To Apply for this Job Click Here
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