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 Belfast 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 enhancing data governance and delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in Belfast
✨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 put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and its data platform, and be ready to discuss how your SQL and PySpark skills can help solve their data challenges. Practice common interview questions and think of examples that showcase your problem-solving abilities.
✨Tip Number 3
Showcase your passion for data! During interviews, share your experiences with investigating data issues and translating findings into actionable insights. Let them see how much you enjoy digging into complex data challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Business Data Analyst in Belfast
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 comfortable with SQL and PySpark before the interview. Brush up on your skills by working through some sample queries or data problems. Being able to discuss your experience with these tools will show that you're ready to dive into the role.
✨Understand the Business Context
Familiarise yourself with how data impacts decision-making in a business environment. 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 data and business needs.
✨Prepare for Stakeholder Engagement
Since this role involves gathering requirements from various stakeholders, practice how you would approach these conversations. Prepare questions that show your interest in understanding their needs and how you can support them with data-driven solutions.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you've tackled data challenges in the past. Highlight your analytical thinking and how you approached problem-solving. This will illustrate your capability to handle the complexities of the role effectively.
