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- Tasks: Transform data into actionable insights and enhance reporting solutions.
- Company: Established B2B IT company in West Yorkshire with a growth mindset.
- Benefits: Competitive salary, hybrid work model, and professional development opportunities.
- Why this job: Join a dynamic team and make a real impact on business performance.
- Qualifications: Experience in data analysis, SQL, and strong communication skills.
- Other info: Exciting career growth potential in a supportive environment.
The predicted salary is between 40000 - 45000 £ per year.
Offering £40,000 - £45,000 basic salary
Location: Bradford (Hybrid – 3 Days Office Based)
Our client is an established B2B IT company based in West Yorkshire. Due to continued growth, they are currently recruiting a Data Analyst to own and deliver daily, weekly, and monthly commercial performance reporting for senior management and sales teams. The successful candidate will be commercially minded, confident engaging with the business, be focused on turning data into actionable insight whilst being proactive, resilient, and improvement-focused.
Key Responsibilities:
- Design, develop, and enhance enterprise-grade reporting and analytical solutions across sales and non-sales functions.
- Build and maintain automated, scalable analytical models using SQL Server, R, and Microsoft Excel.
- Develop interactive dashboards and visual analytics in QlikSense to support data-driven decision-making.
- Lead the migration of legacy Excel-based reporting into modern BI and analytics platforms, improving performance, usability, and governance.
- Develop and maintain competitor pricing, margin, and market intelligence models using SQL Server, R, and advanced Excel techniques.
- Collaborate closely with commercial and operational stakeholders to translate business requirements into analytical solutions.
- Proactively identify opportunities to improve data pipelines, reporting efficiency, and business performance.
- Continuously improve data quality, data structures, and analytical robustness.
- High attention to detail and strong focus on data accuracy, governance, and quality assurance.
Skills & Experience:
- Experienced Data Analyst / Scientist, with exposure of Business Intelligence platforms and analytical tooling.
- Strong stakeholder engagement skills with the ability to communicate analytical insights clearly to technical and non-technical audiences.
- Solid understanding of relational data models and analytical data structures.
- Advanced-level SQL / T-SQL skills, including ability to write complex joins, sub queries, views, and performance-aware query design.
- Intermediate-Advanced Microsoft Excel capability, including ability to create Pivot Tables, Power Query, complex formulas, external data connections and VBA.
- Proven, hands-on experience with R (or Python) for data analysis, statistical modelling and data transformation.
- Experience with Qlik Sense or similar BI tools (Power BI, Tableau); formal Qlik training can be provided.
This position is a full-time, permanent role, based at our client’s office in Bradford, with flexibility to work homebase 2 days per week.
All successful candidates will be contacted within 7 days of application.
Data Analyst employer: Technical Prospects Ltd
Contact Detail:
Technical Prospects Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Get comfortable explaining your analytical processes and how you've turned data into actionable insights. Confidence is key!
✨Tip Number 3
Show off your skills with a portfolio! Create a few projects that highlight your SQL, R, and Excel capabilities. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team. Don't miss out on the chance to land that dream job!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, R, and Excel, and don’t forget to showcase any relevant projects or achievements that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your skills align with the responsibilities listed in the job description. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to list your proficiency in SQL, R, and any BI tools like Qlik Sense. Provide examples of how you've used these skills in past roles to turn data into actionable insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Technical Prospects Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL, R, and Excel skills before the interview. Be ready to discuss specific projects where you've used these tools to create reports or dashboards. This will show that you're not just familiar with the software but can also apply it effectively.
✨Understand the Business Context
Research the company and its industry. Understand how data impacts their business decisions. Being able to relate your analytical skills to their commercial performance will demonstrate that you're not just a techie but also commercially minded.
✨Prepare for Stakeholder Engagement
Think of examples where you've successfully communicated complex data insights to both technical and non-technical audiences. Practice explaining your thought process clearly and concisely, as this is crucial for engaging with various stakeholders.
✨Show Your Improvement Mindset
Be ready to discuss how you've proactively identified opportunities for improvement in past roles. Whether it's enhancing data pipelines or improving reporting efficiency, showcasing your resilience and focus on continuous improvement will resonate well with the interviewers.