At a Glance
- Tasks: Investigate data, identify issues, and support data scientists with hands-on analysis.
- Company: Leading tech consultancy focused on data-driven decision-making.
- Benefits: Collaborative team environment, opportunities for influence, and a commitment to diversity.
- Other info: Join a diverse team passionate about data governance and user needs.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Experience as a Business Analyst with strong SQL skills and problem-solving abilities.
The predicted salary is between 40000 - 50000 £ per year.
We are super proud to be partnering with a leading tech consultancy who are on the hunt for a Data Operations Business Analyst to join a team delivering a large-scale data platform that's used by data scientists, engineers, and business stakeholders alike. If you're someone who loves getting hands-on with data, investigating issues, asking questions, and turning findings into clear actions, this could be a great fit.
What you'll be doing:
- Investigating production data to identify issues, anomalies, and trends
- Using SQL and PySpark to explore data, validate assumptions, and uncover root causes
- Supporting data scientists and engineers with queries, investigations, and data related challenges
- Gathering requirements through stakeholder engagement and workshops
- Translating business needs into epics, stories, and deliverable outcomes
- Helping shape priorities while balancing user needs, security, and governance requirements
- Supporting and improving data governance across the platform
What we're looking for:
- Experience working as a Business Analyst in a data focused environment
- Strong SQL skills and confidence working directly with production data
- Exposure to PySpark or large scale data platforms
- Excellent stakeholder engagement and communication skills
- Experience working within regulated or highly governed environments
- Someone who enjoys problem solving, digging into detail, and making sense of complex data challenges
Why join?
You'll be joining a collaborative team where data is at the heart of decision-making. You'll have the opportunity to work closely with technical specialists, influence platform improvements, and play a key role in helping people get the most value from their data. At G&T, we're passionate about building diverse teams and inclusive workplaces. If you're excited by the role but don't tick every box, we'd still love to hear from you. Apply now or get in touch for a confidential chat.
Business Data Analyst in Warrington employer: G.Digital
Join a leading tech consultancy that values collaboration and innovation, where data drives decision-making. As a Business Data Analyst, you'll enjoy a supportive work culture that fosters diversity and inclusion, alongside opportunities for professional growth and development. With access to cutting-edge technology and a team of experts, you'll play a pivotal role in shaping data governance and influencing platform enhancements in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 questions related to data analysis. Think about how you can showcase your SQL and PySpark skills through real-life examples. We want you to shine!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for roles that excite you and fit your skills. Tailor your approach to each opportunity!
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a great way to express your appreciation and reiterate your interest in the role. Plus, it keeps you fresh in their minds!
We think you need these skills to ace Business Data Analyst in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Business Data Analyst. Highlight your experience with SQL, PySpark, and any data-focused projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your problem-solving skills can help us tackle complex challenges. Keep it engaging and personal – we love to see your personality!
Showcase Your Stakeholder Engagement Skills:Since this role involves working closely with various stakeholders, make sure to mention any relevant experiences where you've gathered requirements or facilitated workshops. We want to know how you communicate and collaborate with others!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at G.Digital
✨Know Your Data Tools
Make sure you're well-versed in SQL and PySpark before the interview. Brush up on your skills by working on sample datasets or projects. Being able to discuss your experience with these tools confidently will show that you're ready to dive into the role.
✨Understand the Business Context
Familiarise yourself with how data impacts business decisions. Think about how you can translate complex data findings into actionable insights for stakeholders. This will demonstrate your ability to bridge the gap between technical data analysis and business needs.
✨Prepare for Stakeholder Engagement
Since stakeholder engagement is key, practice how you would gather requirements and communicate findings. Consider preparing a few examples of how you've successfully engaged with stakeholders in the past, as this will highlight your communication skills.
✨Show Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help the interviewers see your analytical thinking and problem-solving abilities in action.
