Senior Manager – Credit Strategy & Valuations
/ $160000 - $200000 annum
INFO
$160000 - $200000
LOCATION
Permanent
Senior Manager - Credit Strategy & Valuations
Remote (US)
Up to $200,000
Are you a clear communicator with a passion for solving complex lending problems using mass volumes of data? This role uses those skills to drive NPV optimized credit risk and lending strategies (from ideation to implementation) at a fast-paced, start-up lender.
THE COMPANY
A fast-paced and innovative Series-B lender with a fascinating and unique consumer lending product. Data lies at the centre of everything here. This is an early hire in an ultra-high calibre business analysis / credit risk analytics function embedded into a collaborative, lean business executing on it's high growth strategy.
THE ROLE
- Drive data-driven business strategy focused around core lending and credit risk problems
- Underpin strategies with NPV methodology
- Work cross functionally and with a variety of stakeholder to deliver strategic lending and credit risk changes to help the business optimise for growth and risk
- Hands on role using SQL and Python to interrogate data, work with models etc
- Opportunity to lead a small team of exceptional analysts as the business grows
YOUR SKILLS AND EXPERIENCE
- Experience solving credit risk or similar data-driven problems in a consumer lending environment
- Experience driving strategy within a consumer lending environment
- Strong grounding in NPV-drive decision making
- Strong background in data including using SQL daily. Python is beneficial
- Examples of exceptional performance or high level of positive impact in previous role(s)
- Strong academic background can be a positive indicator of successful candidates
THE BENEFITS
- Progress your career in a highly data driven business with an exceptional team
- Competitive salary with potential for equity
- Impact - this is a role where you will have a huge impact on the success of the business
KEYWORDS
Credit Risk Strategy, Acquisition, Scorecards, SQL, Python, Data, Analysis, Pricing Strategy, Credit Cards Strategy, Unsecured Personal Loans Strategy, Credit Limit Assignments,
CONTACT
Conor Larkin
Senior Manager
SIMILAR
JOB RESULTS
Lead Data Scientist
London
£80000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
LEAD DATA SCIENTIST – CREDIT
£90,000
HYBRID – UK
This role does not offer sponsorship.
This is a fantastic opportunity to lead credit risk decisioning at a fast-growing fintech. You will be the go-to expert for credit strategy, owning model development and deployment, and helping shape the company’s lending performance.
THE COMPANY
This company is an ambitious fintech operating in the consumer finance space, providing oversees payments and credit cards. With a strong data-driven culture and a collaborative team structure, they are scaling quickly and investing heavily in their data capabilities to drive better customer and business outcomes.
THE ROLE
You can expect to be involved in the following day-to-day:
-
Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring.
-
Work with a range of data types, including bureau, open banking, and behavioural data.
-
Own the development and execution of decisioning strategies, including champion/challenger experiments.
-
Analyse portfolio performance and recommend strategic changes based on data insights.
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Partner with engineering teams to deploy models into production systems.
-
Work closely with key stakeholders to align data-driven decisions with business goals.
YOUR SKILLS AND EXPERIENCE
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5-7 years of experience in a consumer credit environment, particularly in decision science or data science.
-
Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM).
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Experience working with transactional data and credit bureau sources.
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Familiarity with model monitoring and performance tracking frameworks.
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Proficient SQL skills for querying and data transformation.
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Bonus: experience with unsupervised learning techniques, alternative credit data, or working in a startup/scale-up setting.
THE BENEFITS
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Competitive salary
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25 days holiday (+ bank holidays)
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Private health insurance
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5% pension match
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Hybrid working (UK-based)
HOW TO APPLY
Please register your interest by submitting your CV via the Apply link on this page.
To Apply for this Job Click Here
Senior Product Analyst – Marketplace
City of London
£65000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
SENIOR PRODUCT ANALYST – MARKETPLACE
£65,000-72,000 + BONUS + BENEFITS
CENTRAL LDN
THE COMPANY
This is a fantastic opportunity at a leading tech provider / marketplace. This company uses cutting-edge technology and are at the forefront of their market, with a current focus on driving personalisation across the customer journey and product offering.
THE ROLE
As a Senior Product Analyst in this leading tech provider, you will play a key role within product analytics. More specifically, as a Senior Analyst you will be involved in the following:
- Improving testing and experimentation strategy, monitoring performance of new marketing campaigns, funnel performance and ab testing/causal impact
- Identifying key growth opportunity whilst fostering a great work culture and environment
- Working with stakeholders across various teams
- Delivering insights on customers including demographic, LTV and engagement
- Regularly conducting a/b tests and other experiments
- Analysis incl. statistical analysis with tools such as Python/R desirable
- Development of some reports/dashboards in Tableau
YOUR SKILLS AND EXPERIENCE
The successful Senior Analyst will have the following skills and experience:
- Significant experience in Data Analytics, ideally in product analytics
- Excellent understanding and previous practical implementation of a/b testing and experiment design/frameworks
- Experience with SQL and ideally Tableau or similar for visualisation
- A strong focus on Marketing Analytics ideal
- Excellent business judgement and strategic thinking, with the technical toolkit to enable delivery and strong experience in collaborating and co-ordinating across multiple business departments
- Excellent communication and stakeholder skills
BENEFITS
The successful Senior Product Analyst will receive a salary between £65,000 and £72,000. In addition to this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company.
HOW TO APPLY
Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
City of London
£350 - £450
+ Data Science & AI
ContractCity of London, London
To Apply for this Job Click Here
Senior Data Scientist
Location: Hybrid (London)
Type: Full-time
Startup: A fast-growing AI startup
We’re workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors and fueled by a passion for solving real-world problems, we’re creating technology that makes AI accessible and impactful – and we want an experienced Senior Data Scientist to join our journey.
What You’ll Do
-
Lead the design, development, and deployment of advanced data science models and solutions.
-
Collaborate closely with cross-functional teams (engineering, product, design) to translate complex business challenges into data-driven strategies.
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Explore large datasets to uncover patterns, trends, and actionable insights.
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Develop prototypes and production-grade models for use cases such as predictive analytics, recommendation systems, and NLP applications.
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Mentor and guide junior data scientists and analysts.
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Stay up to date with the latest research, tools, and techniques in data science and machine learning.
What We’re Looking For
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5+ years of experience in data science, machine learning, or a related field.
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Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
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Deep experience in building and deploying models at scale.
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Solid understanding of statistics, experimentation, and data storytelling.
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Experience working with cloud environments (AWS, GCP, or Azure).
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Ability to thrive in a startup environment – self-starter, adaptable, and collaborative.
Why Join Us?
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Competitive compensation, including meaningful equity.
-
Remote-friendly with flexible working hours.
-
Work on high-impact projects that apply AI to real-world problems.
-
Learning budget for conferences, courses, and books.
-
Supportive, innovative team culture that values curiosity and experimentation.
To Apply for this Job Click Here
Optimisation Data Analyst
London
£400 - £450
+ Data Science & AI
ContractLondon
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Senior Data Analyst – Contract
Outside IR35 | £400-£450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
What you’ll tackle
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Analyse client demand & respondent behaviour to spot revenue, margin and completion-rate gains.
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Build regression, clustering and causal models for pricing, yield and segmentation.
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Produce dashboards/BAU reports tracking incentive spend, survey health and profit drivers.
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Design & interpret A/B tests on incentives and matching logic; recommend refinements.
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Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering.
Tech toolkit
Python (pandas, NumPy, scikit-learn) · SQL · Azure (migration in flight) · BI (Power BI/Tableau useful).
Ideal background
-
3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings.
-
Strong SQL and Python for big-data wrangling & modelling.
-
Solid grasp of statistics, pricing or yield optimisation.
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Clear, concise communicator who can translate numbers into action.
-
Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches.
To Apply for this Job Click Here
Pricing & Revenue Data Scientist
London
£400 - £500
+ Data Science & AI
ContractLondon
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Senior Data Scientist – Optimisation (Contract)
Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
The brief
A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield.
Core responsibilities
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Model optimisation – refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality.
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Experimentation – set up offline metrics and online A/B tests; analyse uplift and iterate quickly.
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Production delivery – build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD.
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Monitoring & tuning – track drift, response quality and spend; implement automated retraining triggers.
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Collaboration – work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations.
A typical day
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Morning stand-up: align on performance targets and new constraints.
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Data dive: explore panel behaviour in Python/SQL, craft new features.
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Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches.
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Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job.
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Review: inspect dashboards, compare control vs. treatment, plan next experiment.
Tech stack
Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
SQL (Redshift, Snowflake or similar)
AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow / ADF
Optional extras: Spark, Databricks, Kubernetes.
What you’ll bring
-
3-5+ years building optimisation or recommendation systems at scale.
-
Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML.
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Hands-on cloud ML experience (AWS or Azure).
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Proven track record turning prototypes into reliable production services.
-
Clear communication and documentation habits.
To Apply for this Job Click Here
Product Manager
London
£55000 - £62000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Product Manager – Operations / Supply Chain – London (Hybrid)
Operations Tools | Fulfilment | Inventory | Automation | Supply Chain Tech
Salary – £55,000 – £62,000
We’re working with a fast-growing scale-up in the sustainable food space that’s looking to hire a Product Manager focused on operations and supply chain tooling.
This is a high-impact role, owning the development of products that drive operational efficiency across fulfilment, logistics, inventory and planning. You’ll be translating business challenges and data insights into product requirements, working across engineering, data, sourcing and ops teams to build scalable backend and supply chain systems.
The team is looking for someone product-minded and user-centric, with a strong problem-solving instinct and a bias for shipping value quickly. It’s a collaborative environment with lots of scope to shape product and process strategy in a growing, purpose-led business.
Key experience required:
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Experience working on backend/ops/supply chain tools within a physical product business
-
Strong understanding of service design, UX, APIs, and data
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Comfortable working on MVPs and iterations in a scale-up environment
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Able to work cross-functionally across product, ops, data and engineering
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Confident working independently and bringing clarity to ambiguous challenges
You must be based in the UK and open to working 2+ days a week in their South London HQ.
To Apply for this Job Click Here
Graduate Data Analyst
London
£25000 - £35000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Graduate Data Analyst – London – Full-Time, Office-Based
Excel | Data Cleaning | Reporting | Quantitative Analysis | Litigation Support
Salary – £25,000 – £35,000
We’re working with a boutique data analytics consultancy that partners with top law firms on high-profile commercial and regulatory disputes. They’re now looking for a Graduate Data Analyst to join their growing team in Central London.
This is a fantastic opportunity for a numerically minded graduate to launch a career in data analytics, combining forensic analysis with client-facing work. You’ll be working on complex data sets, helping to quantify financial claims and support legal investigations.
The role is office-based and sits within a small, high-performing team backed by the stability of a well-established financial services group.
What you’ll be doing:
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Reviewing and cleaning datasets from clients and third parties
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Performing financial analysis to assess overcharging and commercial losses
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Producing clear, structured outputs in Excel and Word for legal and client use
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Supporting assumptions and models with logical frameworks when data is incomplete
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Liaising with law firms, clients and data suppliers to gather and validate inputs
What they’re looking for:
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A 2:1 degree or higher in a quantitative subject (Maths, Physics, Economics, etc.)
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Strong Excel skills (pivot tables, array formulas, nested functions)
-
Some experience with R, Python, SAS or Stata is desirable
-
Great attention to detail and clear written communication
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Analytical mindset with a genuine interest in problem solving
Applicants must have full UK working rights.
If you’re looking to apply your academic background to real-world problems and work in a fast-paced, analytical environment – get in touch to find out more
To Apply for this Job Click Here
Digital Product Analyst
London
£45000 - £50000
+ Digital Analytics
PermanentLondon
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Digital Product Analyst – Retail & eCommerce – London (Hybrid)
Product Analytics | SQL | GA4 | A/B Testing | PowerBI | Stakeholder Engagement
Salary up to £50,000
We’re working with a major retail group looking to hire a Digital Product Analyst to join their digital analytics team.
In this role, you’ll work closely with digital product managers, UX and experimentation teams to deliver actionable insights that help improve the customer journey across multiple brands. You’ll be responsible for supporting the development of dashboards, analysing performance, and identifying optimisation opportunities across their ecommerce platforms.
You’ll also assist in the interpretation of A/B test results and help build out a data-led approach to product development in a fast-paced and collaborative environment.
Key experience required:
-
Experience in a digital or product analytics role, ideally within ecommerce or retail
-
Comfortable working with SQL, GA4 and BigQuery
-
Familiarity with A/B testing platforms such as Optimizely
-
Skilled in data visualisation using PowerBI, Tableau or Looker
-
Strong communication skills, with the ability to work cross-functionally
Candidates must be based in the UK with full right to work.
To Apply for this Job Click Here
Senior Digital Product Analyst
London
£55000 - £65000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Digital Product Analyst – Retail & eCommerce – London (Hybrid)
Product Analytics | SQL | GA4 | A/B Testing | PowerBI | Stakeholder Engagement
Salary up to £65,000
We’re working with a major retail group looking to hire a Senior Digital Product Analyst to join their growing digital analytics function.
This is a key role partnering closely with the digital product and UX teams across multiple household-name brands. You’ll take ownership of product performance analysis, build dashboards, and generate insights that directly influence optimisation initiatives and the broader digital roadmap.
You’ll also support A/B testing strategy, collaborating with experimentation teams to interpret results and identify key customer journey insights. This is a great opportunity for someone who enjoys a mix of hands-on analysis and stakeholder engagement in a fast-paced, high-growth environment.
Key experience required:
-
Strong experience in digital or product analytics, ideally in ecommerce or retail
-
Proficient in SQL, with experience using GA4 and BigQuery
-
Exposure to A/B testing platforms such as Optimizely
-
Strong data visualisation skills (PowerBI, Tableau or Looker)
-
Confident communicating insights to senior stakeholders and product teams
Candidates must be based in the UK with full right to work.
To Apply for this Job Click Here
Director of Analytics
Boston
$180000 - $200000
+ Advanced Analytics & Marketing Insights
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Director of Analytics
Industry: Health, Wellness
Compensation: $180,000 – $200,000 base + bonus
Location: Greater Boston Area (Hybrid)
Are you an experienced analytics leader ready to take the reins at one of the most recognized brands in the fitness industry? This is a fantastic opportunity for someone who thrives at the intersection of data strategy and business execution, and who’s eager to lead a high-impact analytics team in a collaborative, mission-driven environment.
THE ROLE – Director of Analytics
Our client is seeking a technically strong, business-focused Director of Analytics to head up enterprise-wide analytics efforts. In this role, you’ll guide a lean team of analysts while partnering cross-functionally with senior leaders in Consumer Insights, Marketing, and Operations to drive growth and operational efficiency.
They’re looking for a leader who blends strategic vision with hands-on execution and brings expertise in predictive analytics, digital performance measurement, and enterprise reporting. You’ll be responsible for turning complex datasets into clear, actionable insights that inform key decisions across the business.
KEY RESPONSIBILITIES
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Lead and mentor a team of analysts supporting business-wide analytics initiatives
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Develop and implement analytics strategies that align with growth and efficiency goals
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Partner with cross-functional teams to define KPIs and build insights-driven strategies
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Translate business challenges into scalable data solutions, reports, and dashboards
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Oversee the implementation and use of tools like Power BI, Tableau, SQL, Python/R
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Leverage web and digital analytics (Google Analytics, GA4) to optimize user journeys and digital channel performance
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Set and maintain enterprise-wide analytics standards and reporting frameworks
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Present key insights and recommendations to executive stakeholders
YOUR BACKGROUND
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Extensive experience in enterprise analytics, with a strong track record of measurable business impact
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Proven success leading complex analytics projects tied to revenue growth and cost savings
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Technical proficiency in modern analytics tools: Power BI, Tableau, SQL, Python or R
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Deep knowledge of digital analytics platforms, especially Google Analytics
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Excellent communication skills, with a focus on simplifying complex data for executive-level audiences
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Experience leading small, high-performing analytics teams
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Ability to thrive in a dynamic, high-visibility, cross-functional setting
BENEFITS
As Director of Analytics, you’ll earn up to $200,000 depending on experience, plus a comprehensive bonus structure and highly competitive benefits package.
HOW TO APPLY
To express interest, please send your resume to Sam Willman via the Apply link on this page.
KEYWORDS:
Analytics, Predictive Analytics, Data Strategy, BI Tools, Fitness, Wellness, SQL, Python, R, Tableau, Google Analytics, Consumer Insights, Marketing Analytics, Enterprise Reporting, Team Leadership, Digital Performance, GA4, Dashboarding
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Senior Data Strategist
City of London
£300 - £300
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
Job Title: Senior Data Strategist
Day Rate: £400 per day
Location: Hybrid – 2-3 days per week onsite in Victoria
Contract Type: 3-month contract (initial)
Working Pattern: 4-5 days per week (preference for 4)
Overview
We’re working with a leading creative agency to find an experienced Senior Data Strategist to support a new client engagement in the promotions and loyalty space. This is an exciting opportunity to help shape a new programme launching now through to the end of the year, with the potential to move into a long-term, retained relationship.
This is a key test period for our client, and the strategist will play a critical role in proving the value of data-led decision-making for campaign optimisation and business growth.
Key Responsibilities
-
Lead the setup and implementation of the data strategy for a new promotional campaign running through December.
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Provide regular insights reporting and campaign performance analysis, focusing on what’s working and what’s not across CRM and digital channels.
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Collaborate with an analyst to develop a scenario planning tool that models campaign effectiveness and forecasts commercial impact (e.g., open rates linked to revenue).
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Create measurement strategies to track performance across email, website, and other digital channels.
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Work closely with the customer strategy team to define audience segments, develop personalisation approaches, and support campaign targeting.
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Be responsible for campaign monitoring, reporting and continuous optimisation of one key campaign initially.
-
Support an additional client on a monthly campaign performance reporting programme across owned digital channels (social, web, and app).
-
Provide mentorship and storytelling guidance to a junior team member working on the second client account.
Skills & Experience
Must-Have Experience:
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Strong background in CRM and data strategy within an agency environment.
-
Experience measuring customer journeys end-to-end – across email, website and broader digital touchpoints.
-
Strong understanding of campaign performance metrics and translating data into actionable insights.
-
Familiarity with marketing personalisation techniques and audience segmentation.
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Experience in building or using scenario/planning tools to demonstrate commercial value.
Desirable Tools/Platforms:
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Salesforce Marketing Cloud or other CRM platforms exposure
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Google Analytics 4 (GA4) exposure
Interested candidates should be passionate about using data to tell compelling stories, optimise campaigns, and influence marketing decisions. If you’re looking for a high-impact, hands-on role with the chance to shape strategic direction, we’d love to hear from you.
To Apply for this Job Click Here
Senior Data Engineer
London
£70000 - £82000
+ Data Engineering
PermanentLondon
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Senior Data Engineer – £82,000 – Hybrid & Remote Flexibility
No Sponsorship Available
Company
We are a forward-thinking technology company dedicated to simplifying complex processes through innovative solutions. With a focus on enhancing efficiency and transparency, we strive to deliver outstanding experiences for our customers. Our team operates with a flexible hybrid working model, fostering collaboration and innovation in a supportive environment.
Responsibilities
As a Senior Data Engineer, you’ll play a pivotal role in advancing our data infrastructure to support our expanding scope and responsibilities. Key responsibilities include:
- Enhancing the reliability and stability of our data infrastructure.
- Managing data ingestion pipelines using tools such as Azure Data Factory (ADF) and Python.
- Ensuring the quality of raw datasets to empower Data Analysts in creating robust data models.
- Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect).
- Supporting Data Analytics through the management of DBT, DevOps, and deployment rules.
You will have the opportunity to work end-to-end, making meaningful contributions within a small, agile team.
Experience
We’re looking for candidates with:
- Extensive experience in Data Engineering with a focus on Azure, Databricks, and Delta Lake.
- Proficiency in Kubernetes, Infrastructure as Code, and Terraform.
- Expertise in Azure DevOps and a commitment to best practices.
- A preference for simple, transparent solutions and a drive for innovation.
Your ability to deliver reliable, scalable solutions while working in a fast-paced, collaborative environment will be key to success in this role.
Benefits
We believe in supporting our employees’ well-being and professional growth with:
- Competitive salary, with a package up to £82,000 depending on experience.
- Generous holiday allowance and flexible working options.
- Private medical insurance, pension scheme, and cycle-to-work scheme.
- Death-in-service insurance and enhanced sick pay.
- Opportunities for career development through a structured performance management program.
To Apply for this Job Click Here
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