Job Closed
This listing is no longer active.
Not Your Grandad’s Bookie
Senior Data Analyst
Location
United Kingdom
Posted
67 days ago
Salary
£90K / year
Seniority
Senior
Job Description
Senior Data Analyst
Midnite
• Help Midnite make smarter decisions through insight, analysis, and stakeholder partnership. • Sit at the centre of how we understand customer behaviour, retention, product performance, and commercial opportunity. • Work closely with Growth, Product, Commercial, and Trading teams to turn ambiguous business questions into clear analytical frameworks and actionable recommendations that influence real business outcomes. • Shape how analytics supports decision-making across the business.
Job Requirements
- Analyse customer behaviour, retention, churn, and lifecycle performance.
- Support CRM and growth initiatives through insight and analytical recommendations.
- Partner closely with Product, Commercial, and Trading stakeholders.
- Translate business questions into structured analytical approaches.
- Build reports, dashboards, and decision-support analysis.
- Identify trends, risks, and commercial opportunities through data.
- Support experimentation and performance measurement initiatives.
- Present analytical findings clearly to technical and non-technical audiences.
- Contribute proactively to improving analytical maturity across the business.
- Has strong SQL and analytical problem-solving capability.
- Is commercially minded and customer focused.
- Can independently structure and communicate analysis clearly.
- Builds strong relationships with stakeholders across the business.
- Is comfortable operating in ambiguity and fast-moving environments.
- Understands retention, customer behaviour, and lifecycle analysis.
- Takes a pragmatic and outcome-oriented approach to problem-solving.
- Brings curiosity, adaptability, and strong collaboration skills.
Benefits
- Private health insurance with zero excess, including optical cover and optional dental.
- Income protection to protect your earnings and give you peace of mind.
- Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
- Flexible working and a fully supported home office setup so you can do your best work from home.
- Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
- Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
- Retail discounts and subscription perks across a wide range of brands.
- Quarterly team socials to connect, celebrate and have fun together.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Role Description We are looking for a Data Analyst to join our Data Warehouse & BI team and help us expand the reach, depth, and operational impact of our modern data platform. This is a hands-on role focused on report development, model expansion, and the ongoing reliability of a production analytics stack that already drives company-wide reporting. You will work closely with stakeholders across the business, including operations, finance, dispatch, inventory, vendor management, and others. You need to be an expert at building and maintaining these relationships. They will help give you the context and information needed to deliver reporting and insights that enhance how the business runs. Our source systems are varied and disparate, with multiple ERPs, each carrying its own schema, conventions, and quirks. A core part of the job is reconciling those differences and producing a sanitized & harmonized view where the business can compare like-for-like across entities and source systems. If you enjoy untangling messy data and turning it into something trustworthy, then this is the place for you. What You Will Do: - Develop, maintain, and extend Power BI reports, dashboards, semantic models, and alerting across finance, operations, inventory, dispatch, and vendor management. - Write and optimize complex SQL against Snowflake to investigate data, build models, and answer business questions. - Build and refactor dbt models that standardize and harmonize data extracted from multiple ERPs into a unified, comparable schema. - Setup the data in a scalable and consumable way to enable the organization to be most well-suited humans and agents. - Reconcile disparate source-system definitions (chart of accounts, item masters, customer and vendor records, transaction types) so the business sees a true apples-to-apples view. - Partner with stakeholders across the business to elicit requirements, understand operational context, and translate business questions into reliable reporting. - Proactively surface findings, anomalies, and improvement opportunities discovered in the data. - Monitor Fivetran connectors, dbt runs, and Power BI refreshes; triage and resolve data quality and pipeline issues. - Respond to ad-hoc data requests that drive business decisions and initiatives. - Document data models, definitions, and report logic so knowledge is shared, not siloed. Qualifications - 2+ years of professional experience as a data analyst, analytics engineer, or BI developer. - Extremely strong SQL skills, including comfort with CTEs, window functions, indexing, stored procedures, performance tuning, and debugging complex joins across large datasets. - Understanding of relational databases and scalable design. - Extremely strong Power BI skills, including: - DAX and data modeling. - Calculation groups. - Alerting and operational enablement, including integration with Power Apps. - Performance tuning, row-level security, and report design best practices. - Familiarity with cloud data warehouses (Snowflake or OneLake preferred) and modern ELT patterns. - Strong written and verbal communication, with the interpersonal skills to build trust and productive working relationships with business stakeholders. - Self-directed and comfortable working remotely and driving work without daily oversight. - Forward-thinking mindset with demonstrated experience using AI tools to enhance and accelerate analytics work, including model development, DAX authoring, documentation, code review, and stakeholder communication. Benefits - 10 Paid Holidays. - Flexible Time Off. - 401(k) Company Match. - Health, Dental, and Vision Insurance. - HSA and FSA. - Disability & Occupational Accident Insurance. - Company-Paid Life Insurance Policy. - Employee Assistance Program (EAP). - World-class paid training program for you to learn the skills for long-term career success.
Data Analyst – Customer Success
ViaductMachine learning platform to empower OEMs and their partners to make vehicles safer, more reliable, and personalized.
• Support the Customer Success Analytics team by providing technical expertise to Engagement Managers • Answer analytics questions and improve the code base • Learn about Viaduct’s history and mission • Get to know every team member • Understand Viaduct’s system architecture • Deep dive into the nuances of vehicle data • Attend our weekly company-wide meeting and engineering tech talk • Understand the product roadmap and the pain-points of our customers • Contribute new features to the product • Refactor code, improve test coverage, or automate a manual process during an engineering hack day • Develop rapport with the customers that you support • Support customers on a daily basis to deliver value • Improve the onboarding process for future hires • Present about yourself at the company-wide meeting and showcase your work at the engineering tech talk • Become involved in the recruiting process and help find more amazing people
• Build end-to-end analytics of CS processes across customer requests. • Own core process metrics: repeated contacts, cost, full handling time, escalation rate, backlog, aging, SLA, and time in each stage. • Build dashboards, datasets, and reports that help CS leadership, team leads, Product, and Operations identify where the process breaks. • Translate business problems into analytical and technical requirements for better logging, CRM structure, and process design. • Step in beyond your scope when needed — we value ownership over rigid roles.
Data Protection & Compliance Analyst
OCS GroupOCS UK & Ireland is a leading facilities management company with 50,000+ colleagues and a turnover in excess of £2bn. We deliver innovative, award-winning services within facilities management, hard services, cleaning, security, and catering. Our mission is to make people and places the best they can be for our colleagues, customers, and the communities we serve. Our commitment to doing business the right way is rooted in our TRUE values - Trust, Respect, Unity, and Empowerment.
Role Description This is an exciting opportunity for a motivated individual to join OCS's compliance function as a Data Protection Analyst. Working closely with the Data Protection Officer (DPO) and the wider Data Protection & Compliance team, you will play an active role in supporting OCS's data protection obligations under UK GDPR and the Data Protection Act 2018. - Assist with the processing of data subject access requests (DSARs), erasure requests, and other rights requests - Maintain accurate records and logs of all requests received and actions taken - Support the review and maintenance of OCS's Records of Processing Activities - Engage with internal stakeholders to capture and update data processing information - Ensure the ROPA remains accurate, complete, and up to date - Assist in the completion of Data Protection Impact Assessments for new projects, systems, and processes - Identify and escalate privacy risks in collaboration with the DPO - Support the review and update of data protection policies, notices, and procedures - Assist with the recording, investigation, and reporting of data breaches and near-misses - Assist in the review and maintenance of Vendor Questionnaires for third-party suppliers - Conduct due diligence checks on suppliers' data protection practices - Compliance - Client site audits & OCS office audits for ISO27001 compliance Qualifications - Good computer literacy skills - Experience with Microsoft tools such as Teams, PowerPoint, Word, etc. - An understanding of UK GDPR and data protection awareness - High level of integrity and accountability - Good organisational skills - Ability to work autonomously - Genuinely curious about data protection, privacy law, and information governance - Ability to handle sensitive and confidential information with professionalism and discretion - A proactive, 'can-do' attitude and willingness to learn - Able to travel nationally How to Apply If you are interested in joining a business that encourages professional development, career progression and the chance to work with inspirational people then please click apply and register your interest! You can also sign up to our job alerts when registering which will notify you when other suitable vacancies are available.



