At a Glance
- Tasks: Investigate data issues, trends, and support data scientists using SQL and PySpark.
- Company: Leading tech consultancy focused on data-driven decision-making.
- Benefits: Collaborative team environment with opportunities for influence and growth.
- Other info: Diverse and inclusive workplace welcoming all applicants.
- 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 Woking 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 thrive in a supportive environment that encourages professional growth and offers opportunities to work with cutting-edge technologies. With a commitment to diversity and inclusion, this is an excellent place for those looking to make a meaningful impact while developing their skills.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in Woking
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Get your hands dirty with data! If you can, work on personal projects or contribute to open-source data initiatives. This not only sharpens your skills but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews by practising common data-related questions. Brush up on your SQL and PySpark knowledge, and be ready to showcase how you've tackled data challenges in the past. We want to see your problem-solving skills in action!
✨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 genuinely interested in joining our awesome team at G&T.
We think you need these skills to ace Business Data Analyst in Woking
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 our team. Don't forget to mention any relevant stakeholder engagement experiences!
Showcase Your Data Skills:In your application, be sure to include specific examples of how you've used SQL and PySpark in past roles. We love seeing real-world applications of your skills, so don't hold back on the details!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 through some practical examples or projects. Being able to discuss your experience with these tools confidently will show that you're ready to dive into the data operations role.
✨Understand the Business Context
Familiarise yourself with how data impacts business decisions. Research the company’s projects and think about how you can contribute to their goals. This will help you articulate how your skills align with their needs during the interview.
✨Prepare for Stakeholder Engagement
Since this role involves gathering requirements from stakeholders, think of examples where you've successfully engaged with different teams. Be ready to discuss how you translated complex data needs into actionable insights, as this will demonstrate your communication skills.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to see your thought process and impact.
