At a Glance
- Tasks: Transform data into actionable insights and empower teams with self-serve analytics.
- Company: Join MrQ, an award-winning online casino known for its fun and innovative culture.
- Benefits: Enjoy competitive salary, extra leave days, wellness incentives, and a flexible work environment.
- Why this job: Be a key player in driving data-driven decisions across various business teams.
- Qualifications: Strong SQL skills and experience in data modelling, reporting, and visualisation.
- Other info: Join a diverse, supportive team committed to your personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Mr Who? MrQ – we’re an awesome, award-winning online casino launched in 2018. We’re big on tech, big on performance and most of all – big on fun. Over the years, we have experienced explosive growth, which means we need more rock stars to join our quest for total world domination. We’re looking for a Data Analyst to join our Data Delivery team and become a key insight partner to the business.
You’ll work closely with stakeholders across Marketing, CRM, Finance and Performance, helping teams understand and act on data in their day-to-day decision-making. This role sits at the intersection of data platform and business teams. You won’t just produce reports — you’ll help stakeholders explore, interpret and customise data assets, translating complex information into clear insights that drive measurable outcomes. As our data platform evolves, you’ll play a central role in enabling self-serve analytics, empowering teams to answer questions independently and make faster, data-driven decisions.
What You Will Do
- Stakeholder Enablement
- Act as the primary data point of contact for stakeholder teams such as Marketing, Product, Finance and Operations
- Translate business questions into analytical frameworks and data queries
- Support teams in creating and customising dashboards and reports
- Deliver training sessions to improve data literacy and enable self-serve analytics
- Data Analysis & Interpretation
- Analyse data from the semantic model to identify trends, anomalies and opportunities
- Interpret complex datasets and communicate insights clearly to non-technical audiences
- Validate outputs against business logic and highlight discrepancies
- Work closely with Data Engineers to investigate and resolve data quality issues
- Reporting & Visualisation
- Build and maintain ThoughtSpot Liveboards and dashboards aligned with stakeholder KPIs
- Design clear and actionable visualisations that support decision-making
- Ensure reporting outputs align with the metrics dictionary and data catalogue
- Data Platform Collaboration
- Collaborate with Data Engineers and the Data Architect to define reporting requirements
- Contribute stakeholder insight to semantic model design, naming conventions and documentation
- Participate in data governance, including field documentation and access control reviews
What We’re Looking For
- Must Have
- Strong SQL skills
- Experience with data modelling, reporting and visualisation
- Experience building dashboards and reports (e.g. ThoughtSpot or similar BI tools)
- Ability to communicate insights clearly to non-technical stakeholders
- Nice to Have
- Experience with DBT
- Experience working with Marketing, Product or Operations data
- Familiarity with Google Cloud / BigQuery environments
Soft Skills
- Strong stakeholder communication and collaboration skills
- Analytical mindset with the ability to translate data into business impact
- Curious, proactive and comfortable working across technical and commercial teams
What We Offer
At MrQ, we take pride in providing an array of fantastic benefits to our valued team members. Enjoy a competitive salary package that recognises your hard work and dedication. Need some extra time off? We’ve got you covered with additional leave days, and we believe in celebrating life’s special moments, including your birthday, with dedicated birthday leave. Family matters to us, too, which is why we offer a generous four-week parental leave. Your well-being is our priority, supported by international health and life insurance. Stay motivated with wellness incentives and seize opportunities for personal and professional growth with our growth allowance. Embrace a flexible working environment that caters to your needs, and join our friendly and multinational team, where collaboration and camaraderie flourish.
At MrQ, we’re committed to ensuring that your experience with us goes beyond just a job – it’s a fulfilling journey with a supportive community. We are committed to fostering a workplace that values and celebrates diversity. We welcome individuals of all backgrounds and experiences, and we believe that a diverse and inclusive environment leads to innovation and success. We actively promote equal opportunities for all employees and strive to create a space where everyone’s voices are heard and respected. Join us in our journey to build a truly inclusive workplace where every person can thrive and contribute to our collective success.
Senior Data Analyst (Product) in St Albans employer: Lindar
Contact Detail:
Lindar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (Product) in St Albans
✨Tip Number 1
Get to know the company inside out! Research MrQ's culture, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can showcase your SQL skills and experience with BI tools like ThoughtSpot. Be ready to discuss how you've turned data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the MrQ family!
We think you need these skills to ace Senior Data Analyst (Product) in St Albans
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your strong SQL skills in your application. We want to see how you can use SQL to analyse data and create insights that matter. Don’t just say you have the skills; give us examples of how you've used them in past roles!
Tailor Your Application: Take a moment to tailor your application to the job description. Mention specific experiences that relate to stakeholder enablement and data analysis. This shows us you understand what we’re looking for and how you can fit into our team.
Keep It Clear and Concise: When writing your application, keep your language clear and concise. We appreciate straightforward communication, especially when it comes to complex data insights. Make it easy for us to see your potential!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and consider you for this role and any similar ones. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Lindar
✨Know Your SQL Inside Out
As a Senior Data Analyst, strong SQL skills are a must. Brush up on your SQL queries and be ready to demonstrate your ability to manipulate and analyse data. Prepare examples of how you've used SQL to solve real business problems in the past.
✨Understand the Business Context
Familiarise yourself with MrQ's business model and the specific challenges faced by teams like Marketing and Finance. Think about how data can drive decisions in these areas and be prepared to discuss how you can translate complex datasets into actionable insights.
✨Showcase Your Dashboard Skills
Since you'll be building dashboards and reports, practice using tools like ThoughtSpot or similar BI platforms. Bring examples of dashboards you've created and be ready to explain your design choices and how they align with stakeholder KPIs.
✨Communicate Clearly with Non-Technical Stakeholders
One of your key roles will be to communicate insights to non-technical audiences. Prepare to demonstrate your ability to simplify complex data concepts. Consider practising explaining a technical concept to a friend who isn't familiar with data analysis.