Lead Analyst
London / £75000 - £85000 annum
INFO
SALARY:
£75000 - £85000
LOCATION
London
Permanent
Lead Analyst - 12-month FTC
London - Hybrid, 2 days per week
Up to £85,000
This is an opportunity to join a growing, data-driven business where pricing sits at the heart of commercial strategy. You'll work across pricing, experimentation, forecasting and revenue optimisation, helping shape decisions that drive sustainable growth across international markets.
The Company
They are an established eCommerce and marketplace business operating at global scale, combining technology, analytics and commercial insight to support continued growth. With a large international workforce and operations across multiple regions, they are investing heavily in their digital capabilities and customer proposition.
Their analytics function plays a critical role in decision-making, partnering with commercial, product, engineering and finance teams to deliver measurable business impact. As they continue to evolve their pricing and revenue strategy, they are looking for a commercially minded Pricing Analyst to join the team.
The Role
You will work closely with commercial and analytics stakeholders to optimise pricing decisions and drive long-term revenue growth.
Key responsibilities include:
- Evaluate pricing strategies and their impact on revenue, customer behaviour and long-term value.
- Analyse pricing performance and provide recommendations to support business growth.
- Design, execute and evaluate A/B tests and promotional activity.
- Build analytical frameworks to measure performance and identify commercial opportunities.
- Support forecasting, revenue planning and business performance modelling.
- Work with large-scale datasets to uncover trends and actionable insights.
- Partner with Data Science teams on pricing elasticity, demand forecasting and revenue optimisation initiatives.
- Collaborate with Data Engineering, Product, Platform and Finance teams to deliver data-led solutions.
- Translate complex analysis into clear business recommendations for senior stakeholders.
- Support both UK and US markets, considering differing commercial dynamics and customer behaviours.
- Strong SQL skills with the ability to write and troubleshoot code from scratch.
- Experience working with large, complex datasets.
- Strong commercial analytics experience within an eCommerce, marketplace or similar data-rich environment.
- Experience measuring and analysing experiments, including A/B testing.
- Excellent stakeholder management and communication skills.
- Ability to translate analytical findings into practical commercial recommendations.
- Exposure to forecasting, pricing analytics, customer value analysis or revenue optimisation.
- Python experience is beneficial but not essential.
- Experience building models or analytical frameworks would be advantageous.
- Exposure to complex pricing and commercial challenges at scale.
- Opportunity to work across international markets.
- High visibility role with direct impact on growth and revenue strategy.
- Collaborative environment working alongside Analytics, Data Science, Product and Commercial teams.
- Strong opportunities for professional development and progression.
If you're interested in using analytics, pricing and experimentation to influence strategic business decisions, apply today to learn more about this opportunity.
CONTACT
Izabella Hage
Senior Recruitment Consultant
SIMILAR
JOB RESULTS
Junior Data Engineer
Birmingham
£35000 - £45000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Junior Data Engineer
up to £45,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.
THE COMPANY
Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.
THE ROLE
You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:
- Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
- Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
- Building and maintaining data models using dbt to support analytics and reporting requirements.
- Supporting the development of AI-driven data products and semantic layers.
- Creating trusted datasets and business-facing data assets to support company-wide decision making.
YOUR SKILLS AND EXPERIENCE
You will bring strong capability in:
- Python development.
- Advanced SQL.
- Building and maintaining data pipelines.
- Data modelling and warehousing fundamentals.
- dbt or similar modern transformation frameworks
- Experience with AWS data services.
- Exposure to Kafka, Spark, streaming data, or modern BI tools.
- Interest in AI, analytics engineering, and data products
THE BENEFITS
You will receive a salary of up to £45,000 depending on experience, along with a comprehensive benefits package.
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
Lead Data Engineer (Azure)
City of London
£65000 - £75000
+ Data Engineering
PermanentCity of London, London
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LEAD DATA ENGINEER (Azure)
Uo to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK’s most recognisable cultural organisations as they embark on a major data transformation programme. You’ll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.
THE COMPANY:
Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.
THE ROLE:
You will take ownership of designing, building and evolving the organisation’s modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
Key responsibilities include:
- Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
- Building scalable and reliable data pipelines using a Medallion architecture approach
- Designing robust data models and semantic layers across multiple business domains
- Establishing engineering best practices, governance frameworks and development standards
- Managing and developing a small team of data engineers
- Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
- Enabling high-quality downstream reporting, analytics and Power BI semantic models
- Supporting long-term data innovation and AI initiatives across the organisation
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Strong expertise in dimensional data modelling and semantic layer design
- Hands-on experience with Microsoft Fabric and/or Azure Data Services
- Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
- Strong stakeholder management and communication skills
- Previous experience managing, mentoring or leading teams, with at least two direct reports
THE BENEFITS:
You will receive a salary up to £75,000 dependent on experience, alongside a comprehensive benefits package.
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
MLOps Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
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Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
To Apply for this Job Click Here
Data Operations Manager
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Data Operations Manager
London (Hybrid) | Up to £55,000 + Benefits
The Company
They are a well-established and fast-growing insights organisation with an international presence and a strong reputation for delivering high-quality data-driven projects. Their teams combine research expertise, technology, and operational excellence to help clients make informed business decisions. With significant investment in automation and modern data infrastructure, they offer an environment where innovation and continuous improvement are actively encouraged.
The Role
You will be responsible for managing and improving operational delivery across a range of quantitative research and data programmes.
Key responsibilities include:
- Delivering survey scripting, data processing, reporting operations, and workflow automation
- Designing, maintaining, and improving operational tools and automated processes
- Managing delivery priorities and resource allocation across multiple projects
- Identifying and mitigating delivery risks before they impact project outcomes
- Implementing and strengthening quality assurance and governance processes
- Acting as an escalation point for complex technical delivery challenges
- Working closely with stakeholders to communicate technical issues in a clear and commercially focused way
- Supporting the continuous improvement of operational frameworks, automation, and delivery standards
Your Skills & Experience
- Strong experience within market research, research operations, data processing, or a similar environment
- Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or equivalent
- Experience managing quantitative data workflows and reporting outputs
- Strong data cleaning, transformation, and data management capabilities
- Knowledge of automation workflows, APIs, and process optimisation
- Exposure to tools such as SPSS, Q, DisplayR, or similar analytical platforms
- Excellent stakeholder management and communication skills
- Commercial awareness and the ability to balance quality, timelines, and operational efficiency
- Experience with Python, SQL, JavaScript, or other automation technologies is highly desirable
How to Apply
If you are interested in this Data Operations Manager opportunity, apply now to discuss the role in more detail.
To Apply for this Job Click Here
Senior Pricing Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
A Senior Pricing Analyst opportunity within a data-led business where pricing decisions have a direct impact on commercial performance. You’ll work across pricing, analytics, and business teams to improve segmentation, monitor performance, and support pricing strategy.
The Company
They are a customer-focused organisation investing in their pricing and analytics capability. Data plays a key role in business decisions, with teams working closely together to drive performance and improve customer outcomes. They offer a collaborative environment with opportunities to develop technical and commercial skills.
The Role
You will support the development and delivery of pricing strategies across a large customer portfolio.
Responsibilities include:
- Developing and refining pricing and customer segmentation models
- Analysing performance data to identify trends, risks, and opportunities
- Monitoring pricing performance and portfolio outcomes
- Producing analysis to support pricing decisions and business strategy
- Working with stakeholders across commercial, product, and analytics teams
- Presenting insights and recommendations to both technical and non-technical audiences
Your Skills & Experience
- SQL/Python and experience in pricing, commercial analytics, revenue management, or a related analytical role
- Background in insurance, telecommunications, gambling, travel, or another consumer-focused industry
- Strong analytical and problem-solving skills
- Ability to communicate insights clearly to stakeholders
- Experience working with customer, product, or pricing data
What They Offer
- Salary up to £55,000
- Annual bonus
- Hybrid working
To Apply for this Job Click Here
Director, Analytics
Nashville
$200000 - $225000
+ Digital Analytics
PermanentNashville, Tennessee
To Apply for this Job Click Here
Director of Analytics
Location: 100% Remote within the United States
Compensation: Up to $220,000 base salary + 15% annual bonus
Work Authorization: Must be a U.S. Citizen or Green Card holder. Sponsorship is not available.
About the Opportunity
A growing organization is seeking a Director of Analytics to lead the strategy, architecture, and delivery of a highly visible enterprise analytics platform. This is a hands-on leadership role for someone who has personally built and scaled modern data and analytics solutions while leading high-performing teams.
You’ll oversee a team of Analytics Engineers responsible for the full data lifecycle, including data ingestion, warehousing, semantic modeling, BI enablement, and customer-facing analytics solutions. This role offers the opportunity to shape the future of a rapidly evolving analytics function and influence business decisions at an executive level.
What You’ll Do
- Define and execute the analytics platform strategy and long-term roadmap.
- Lead the design and delivery of scalable analytics products, reporting solutions, and self-service data capabilities.
- Oversee modern cloud-based data architecture, data modeling, and analytics engineering best practices.
- Partner with executive stakeholders to translate business objectives into data-driven solutions.
- Build, mentor, and grow a high-performing analytics engineering team.
- Establish standards around data governance, quality, observability, security, and operational excellence.
- Drive adoption of modern development practices including CI/CD, version control, testing, and infrastructure automation.
What We’re Looking For
Leadership Experience
- 10+ years of experience in Analytics Engineering, Data Engineering, or related fields.
- 5+ years leading and developing analytics or data engineering teams.
- Proven success delivering enterprise-scale analytics products and data platforms.
- Experience hiring, mentoring, and growing technical teams.
Technical Expertise
- Deep experience with Snowflake and modern cloud data platforms.
- Strong knowledge of AWS, Azure, and/or GCP data services.
- Expertise with dbt, data modeling, semantic layers, and analytics engineering practices.
- Advanced SQL skills and strong proficiency with Python.
- Experience with modern BI tools such as Looker, Power BI, Tableau, or similar platforms.
- Familiarity with orchestration tools such as Airflow, Fivetran, Informatica, or equivalent technologies.
- Understanding of CI/CD, Git-based development workflows, and DevOps concepts.
Additional Preferred Experience
- Experience building customer-facing or embedded analytics solutions.
- Knowledge of data governance, security, and regulatory compliance frameworks.
- Exposure to technologies such as Docker, Kubernetes, Terraform, or similar infrastructure tools.
- Familiarity with AI/ML-enabled analytics products and data-driven decision platforms.
Why This Role?
This is an opportunity to join a company making significant investments in modernizing its analytics ecosystem. The successful candidate will have the ability to influence technical strategy, build a best-in-class analytics organization, and deliver high-impact data products that drive measurable business outcomes.
Schedule Expectations
- Most days begin around 8:00 AM Pacific Time.
- Occasional meetings may be scheduled as early as 6:00 AM Pacific Time to support distributed teams and business needs.
To Apply for this Job Click Here
GEO and Social Listening Consultant
London
£350 - £400
+ Digital Analytics
ContractLondon
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GEO & Social Listening Analyst
London | Outside IR35
This is an exciting opportunity to join a fast-paced agency environment, supporting high-profile consumer brand projects across GEO and social listening. With immediate project demand and the potential for further work into the new year, this contract offers the chance to influence strategic marketing decisions through data-driven insights.
The Company
They are a well-established agency working with major consumer brands on marketing strategy, audience intelligence, and digital insight projects. Their team partners closely with clients to translate complex data into actionable recommendations. Due to increased demand across multiple projects, they are looking for a contractor who can quickly add value and engage confidently with senior stakeholders.
The Role and Deliverables
- Deliver GEO analysis and insights to support ongoing marketing projects.
- Conduct social listening research and translate findings into actionable recommendations.
- Work directly with senior stakeholders, presenting insights and strategic recommendations.
- Support active consumer brand projects across audience intelligence and market understanding.
- Use data and insight tools to identify trends, opportunities, and performance indicators.
- Collaborate with agency teams to deliver high-quality client-facing outputs.
Your Skills & Experience
- Strong experience in GEO analysis and organic search insight, including SEMrush.
- Strong social listening capability using platforms such as YouScan.
- Experience working with consumer brands and marketing-focused insight projects.
- Ability to synthesise data into clear, commercially relevant recommendations.
- Confident communicator, comfortable engaging with senior stakeholders.
- Experience using audience and market intelligence tools such as GWI.
How to Apply
If you have strong GEO and social listening expertise and are available to start at short notice, please apply with your latest CV.
To Apply for this Job Click Here
Senior Pricing Analyst
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Pricing Analyst
London (Hybrid) | Up to £60,000
If you’re looking for a role where your analytical expertise can directly influence commercial performance, this is an excellent opportunity to join a highly data-driven organisation investing heavily in its pricing and analytics capabilities. You’ll work on complex pricing challenges, collaborate with senior stakeholders, and see the tangible impact of your work across the business.
The Company
They are a well-established consumer-focused organisation undergoing significant growth and transformation. Data, analytics, and innovation sit at the heart of their strategy, with substantial investment in pricing, technology, and decision-making capabilities. They foster a collaborative environment where new ideas are encouraged and analytical thinking is highly valued. This is an opportunity to join a team that is committed to continuous improvement and long-term development.
The Role
You will play a key role in developing and enhancing pricing strategies that drive business performance and support profitable growth.
Responsibilities include:
- Designing and improving pricing segmentation across customer groups and products
- Analysing portfolio and segment performance to identify commercial opportunities and emerging risks
- Building and maintaining monitoring frameworks to assess pricing effectiveness
- Delivering actionable insights and recommendations to support strategic decision-making
- Collaborating with underwriting, product, commercial, and data teams to optimise pricing performance
- Supporting testing, experimentation, and continuous enhancement of pricing methodologies
- Communicating complex analytical findings clearly to both technical and non-technical stakeholders
Your Skills & Experience
- Strong commercial experience in pricing, modelling, analytics, or quantitative analysis
- Understanding of pricing principles, segmentation methodologies, and performance monitoring
- Proficiency in analytical and data tools such as Python, SQL, R, or SAS
- Ability to interpret complex datasets and translate findings into business recommendations
- Strong stakeholder management and communication skills
- A proactive and inquisitive approach to problem-solving
- Experience working within a fast-paced, data-led environment
How to Apply
If you’re interested in this Senior Pricing Analyst opportunity, apply today to discuss how your experience aligns with the role and learn more about the next steps.
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Senior Data Engineer – Databricks
Amsterdam
€70000 - €80000
+ Data Engineering
PermanentAmsterdam, North Holland
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Senior Data Engineer
Amsterdam | €80,000+ Bonus + Benefits
This is an exciting opportunity for a Senior Data Engineer to join a well-established retailer operating at scale across multiple markets. You’ll play a key role in shaping a modern data platform, enabling data-driven decision-making, and delivering impactful solutions that support both customer and commercial outcomes.
The Company
They are a leading retail business with a strong digital presence and a commitment to innovation. Operating in a fast-paced environment, they leverage data to optimise operations, enhance customer experiences, and support strategic growth. The organisation is investing heavily in its data capabilities, making this an excellent time to join and contribute to a growing data function.
The Role
As a Senior Data Engineer, you will help design, build, and optimise scalable data solutions across the business.
Responsibilities include:
- Designing and developing robust data pipelines for batch and real-time data processing
- Building and maintaining cloud-based data platforms and data warehouses
- Supporting the delivery of analytics, reporting, and machine learning initiatives
- Improving data quality, governance, monitoring, and observability across the platform
- Collaborating with Data Analysts, Data Scientists, Product teams, and business stakeholders
- Driving best practice in data engineering, architecture, and platform performance
- Contributing to technical strategy and mentoring colleagues within the data team
- Identifying opportunities to improve efficiency through automation and scalable engineering solutions
Your Skills & Experience
- Strong commercial experience as a Data Engineer or Senior Data Engineer
- Advanced SQL skills and strong capability in Python
- Experience building and maintaining modern cloud data platforms, ideally on Azure, AWS, or GCP
- Expertise in data modelling, ETL/ELT development, and data warehousing concepts
- Experience with orchestration and workflow tools such as Airflow or similar technologies
- Knowledge of modern data architecture principles and scalable distributed systems
- Experience working with large, complex datasets in a commercial environment
- Strong stakeholder management and communication skills
- Ability to work collaboratively across technical and non-technical teams
- Passion for data, continuous improvement, and delivering business value
What They Offer
- Salary of €80,000 depending on experience
- Performance-related bonus
- Competitive pension contribution
- Hybrid working model based in Amsterdam
- Generous annual leave allowance
- Learning and development budget
- Opportunity to influence a growing data platform and technical roadmap
- Clear career progression within a mature and expanding data function
- Supportive and collaborative working environment
How to Apply
If you’re a Senior Data Engineer looking for an opportunity to build scalable data solutions and have a real impact within a data-driven retail business in Amsterdam, please apply with your CV for further information.
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Analytics Consultant
$40 - $50
+ Advanced Analytics & Marketing Insights
ContractCalifornia
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Analytics Consultant
Claims Reporting & Operational Analytics
Rate: Up to $50/hour
Location: US Remote
Contract Type: 6 month contract
Overview
We are seeking an Analytics Consultant to support claims reporting, operational analytics, and payment integrity initiatives within a healthcare payer environment. This role will focus on building reports, dashboards, and analytical solutions that provide business users with actionable insights across claims operations and compliance reporting.
The ideal candidate will be a hands-on analyst with strong Power BI and SQL experience, capable of translating business requirements into meaningful reporting solutions.
Key Responsibilities
- Develop and maintain Power BI dashboards and reporting assets.
- Perform analyses across healthcare claims, provider, member, and encounter datasets.
- Build SQL queries and reporting logic to support operational decision making.
- Support payment integrity and claims reporting initiatives.
- Create ad hoc analyses, KPIs, and recurring operational reports.
- Work with business users to understand reporting requirements.
- Assist with compliance and regulatory reporting activities.
- Support data validation, quality assurance, and reporting governance activities.
- Collaborate with analytics and engineering teams to improve reporting capabilities.
Required Qualifications
- 3-5+ years of healthcare analytics, BI, or reporting experience.
- Experience working with U.S. healthcare claims data.
- Strong Power BI dashboard development skills.
- Solid SQL experience.
- Experience building operational reports and analytics solutions.
- Strong communication and stakeholder engagement skills.
- Ability to translate business requirements into reporting outputs.
Preferred Qualifications
- Exposure to Databricks.
- Experience supporting payer, managed care, or health plan organizations.
- Exposure to payment integrity, claims operations, or recovery analytics.
- Familiarity with AI-enabled reporting tools, natural language querying, or self-service analytics platforms.
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Senior Analytics Consultant
$60 - $70
+ Advanced Analytics & Marketing Insights
ContractCalifornia
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Senior Analytics Consultant
Claims Analytics, Payment Integrity & Regulatory Analytics
Rate: Up to $70/hour
Location: US remote
Contract Type: 6 month contract
Overview
We are seeking a Senior Analytics Consultant to support a healthcare analytics program focused on claims analytics, payment integrity reporting, regulatory compliance, and AI-enabled analytics. This individual will work directly with business and operational leaders to design, develop, and enhance reporting capabilities that improve payment accuracy, support recovery efforts, and strengthen compliance oversight.
This role requires a strong blend of healthcare domain expertise, hands-on analytics skills, and stakeholder-facing consulting experience. The successful candidate will be expected to lead analytics initiatives, advise stakeholders, and help shape future-state analytics capabilities.
Key Responsibilities
- Partner directly with business stakeholders to gather requirements and define reporting needs.
- Lead development of Power BI dashboards and operational reporting solutions.
- Analyze claims, provider, member, encounter, and policy data to identify trends and opportunities.
- Support payment integrity, recovery, and claims accuracy initiatives.
- Design scalable and reusable analytics products and KPI frameworks.
- Develop SQL and Databricks-based reporting and analytical solutions.
- Support regulatory, compliance, and audit reporting requirements.
- Contribute to AI-enabled analytics capabilities including natural language querying and semantic search.
- Help design L1/L2 analytical data models and governed reporting environments.
- Present findings and recommendations to executive and operational stakeholders.
Required Qualifications
- 7+ years of healthcare analytics, claims analytics, BI, or consulting experience.
- Extensive experience working with U.S. health plan claims data.
- Advanced Power BI development experience.
- Strong SQL skills and data modelling experience.
- Experience supporting payment integrity, recovery, or claims operations.
- Experience partnering directly with senior business stakeholders.
- Exposure to AI-enabled analytics, natural language query tools, or semantic search solutions.
- Excellent communication and consulting skills.
Preferred
- Databricks experience.
- Healthcare consulting background.
To Apply for this Job Click Here
Data Operations Manager
City of London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You’ll work across a range of data projects, helping to drive efficiency and support the continued development of the data function.
The Company
They are an established insights and research organisation that works with clients across multiple sectors. The business is investing in technology, automation, and operational improvement to support future growth. You will join a collaborative team where data and technology play a key role in project delivery.
The Role
You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.
Key responsibilities include:
- Managing survey scripting, data processing, reporting operations, and workflow delivery
- Improving automation processes, tools, and data pipelines
- Identifying delivery risks and supporting quality assurance processes
- Coordinating priorities across multiple projects
- Working with stakeholders to ensure successful project delivery
- Supporting the development of operational processes and best practices
- Using technology to improve efficiency and reduce manual workloads
Your Skills & Experience
- Commercial experience within data operations, research operations, or data processing
- Hands-on experience using SPSS for data analysis and reporting
- Experience with Python and SQL for data manipulation, automation, and workflow improvement
- Strong data cleaning, transformation, and quality assurance skills
- Experience with survey scripting platforms such as Qualtrics, Forsta, Decipher, or similar
- Ability to manage multiple projects and deadlines
- Strong communication and stakeholder management skills
- Experience with APIs or workflow automation tools would be beneficial
What They Offer
- Salary up to £55,000
- Hybrid working with 2 days per week in the London office
- Opportunities for career development and progression
To Apply for this Job Click Here
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