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- Tasks: Help companies centralize their data using an ETL-driven decision intelligence platform.
- Company: Join a fast-growing data and analytics platform transforming how businesses manage their data.
- Benefits: Enjoy a hybrid work model with office days on Tuesday and Thursday.
- Why this job: Be part of a dynamic team focused on data engineering, analytics, and cloud technologies.
- Qualifications: Strong SQL skills and experience with cloud data warehouses like Snowflake or BigQuery required.
- Other info: Opportunity to work with machine learning tools and deliver impactful data insights.
The predicted salary is between 55000 - 75000 £ per year.
Job Title: Senior Analytics Consultant
Location: United Kingdom (Hybrid)
Day Rate: 600 p/d (Outside IR35)
About the company:
I\’m working with a digital consultancy at the forefront of data-driven transformation within the sports industry. They partner with some of the world\’s most recognised football organisations to deliver strategic, technology-enabled solutions that enhance engagement and performance. Key clients include Arsenal FC, Brighton & Hove Albion FC, and leading football councils, and they are proud to support journeys with tailored analytics, CRM integration, and digital strategy.
Role Overview:
My client is seeking an experienced and dynamic Analytics Consultant to join a growing team. In this high-impact role, you will lead complex data science initiatives and guide strategic decision-making across a portfolio of client projects. You will play a key part in developing advanced recommendation systems, improving CRM workflows, and enabling actionable insights through data visualisation and analytics.
You will work closely with cross-functional teams and clients, manage a small team of analysts and data scientists, and oversee the delivery of analytics projects from inception through to execution. This is a hands-on leadership role for someone who thrives at the intersection of technology, analytics, and strategy.
Key Responsibilities
Lead the development of recommendation algorithms and personalised content strategies for digital platforms, including work with top-tier football clubs such as Arsenal FC.
Oversee digital engagement and reporting initiatives for international football tournaments, ensuring robust data pipelines into tools such as Power BI.
Provide strategic guidance and hands-on support during CRM system migrations, including customer data ingestion and integration from legacy data warehouses (e.g., Brighton FC CRM implementation).
Collaborate with internal stakeholders to define project scope, statements of work (SoWs), and deliverables.
Act as a key point of contact for clients, ensuring their data requirements are understood, communicated, and delivered effectively.
Ensure data integrity and optimal use of cloud-based data infrastructure across all analytics projects.
Essential Skills & Experience
Proven experience in data science, analytics, or data analytics engineering in a commercial or customer-focused environment.
Strong expertise in Python for data manipulation, analysis, and algorithm development.
Proficiency in business intelligence and data visualisation tools, including Power BI and Looker.
Strong client-facing experience with excellent communication and stakeholder management skills.
Ability to lead technical teams while maintaining a strategic view across multiple projects and timelines.
Desirable Skills
Experience with Google Analytics and other digital analytics tools.
Background in customer analytics or personalisation, particularly within consumer-facing industries.
Experience working in or with the sports, media, or entertainment sectors.
What they offer:
You\’ll be part of a fast-paced, collaborative environment that values innovation, curiosity, and impact. This is a unique opportunity to contribute to high-profile, data-driven projects that shape the future of sports engagement. You\’ll have the chance to work with cutting-edge tools and technologies while influencing the digital strategies of some of the most iconic football brands in the world.
Senior Data Consultant employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as SQL, dbt, and cloud data warehouses like Snowflake or BigQuery. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with financial data metrics like revenue, retention, and churn. Be prepared to discuss how you've used these metrics to drive business decisions in past roles during your interview.
✨Tip Number 3
Showcase your ability to integrate diverse data sources by preparing examples of past projects where you successfully combined different datasets. This will demonstrate your capability to create a single source of truth for clients.
✨Tip Number 4
Since the role emphasizes collaboration, be ready to discuss your teamwork experiences, especially in data modeling projects. Highlight how you’ve worked with cross-functional teams to deliver actionable insights and improve data processes.
We think you need these skills to ace Senior Data Consultant
Some tips for your application 🫡
Understand the Company: Take some time to research the fast-growing data and analytics platform. Familiarize yourself with their mission, values, and the specific industries they serve. This will help you tailor your application to align with their goals.
Highlight Relevant Skills: Make sure to emphasize your strong proficiency in SQL and experience with cloud data warehouses like Snowflake, BigQuery, or Redshift. Mention any experience with dbt and Python, especially if you've worked on automating data processes or integrating APIs.
Showcase Your Experience: In your CV and cover letter, provide concrete examples of past projects where you built scalable data pipelines or delivered end-to-end data modeling projects. Highlight your ability to work with financial metrics and how you've used data to drive business decisions.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for data engineering and analytics. Explain why you're excited about the opportunity to help clients centralize their data and make informed decisions.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since strong proficiency in SQL is essential for this role, be prepared to discuss your experience with complex queries and optimizing performance. You might even be asked to solve a SQL problem on the spot, so practice writing queries beforehand.
✨Demonstrate Your Experience with Cloud Data Warehouses
Familiarity with platforms like Snowflake, BigQuery, or Redshift is crucial. Be ready to share specific examples of how you've built scalable data pipelines and ensured data quality in these environments.
✨Highlight Your Knowledge of Financial Metrics
Understanding key financial metrics is important for this position. Prepare to discuss how you've worked with metrics like revenue, retention, and customer lifetime value, and how you've used them to drive business decisions.
✨Prepare for Technical Questions on Data Integration
You may be asked about your experience integrating diverse data sources. Think of examples where you successfully combined financial, operational, and customer data to create a unified view for reporting and analysis.
