At a Glance
- Tasks: Investigate data issues, support data scientists, and translate business needs into actionable outcomes.
- 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 helping teams unlock the value of their data.
- 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 Cambridge 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 Cambridge
✨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
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your thought process when solving problems, as this is key for roles like Business Data Analyst.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Business Data Analyst in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and PySpark experience, and don’t forget to mention any relevant projects or achievements that showcase your data analysis prowess.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for the Business Data Analyst role. Share your passion for data, problem-solving, and how you’ve successfully engaged with stakeholders in the past. This is your chance to show your personality!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges before. We love candidates who can dig deep into data issues and come up with actionable insights, so don’t hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
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. Think about how you can translate complex data findings into actionable insights for stakeholders. This will help you demonstrate your ability to bridge the gap between technical data analysis and business needs during the interview.
✨Prepare for Stakeholder Engagement
Since this role involves a lot of interaction with stakeholders, practice articulating how you've gathered requirements in the past. Be ready to share specific examples of how you've engaged with different teams to understand their needs and how you translated those into deliverable outcomes.
✨Showcase Your Problem-Solving Skills
Think of a few challenging data issues you've encountered and how you resolved them. Be prepared to discuss your thought process and the steps you took to investigate and solve these problems. This will highlight your analytical mindset and your ability to tackle complex data challenges.
