Business Data Analyst

Business Data Analyst

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Investigate data issues, support data scientists, and translate business needs into actionable outcomes.
  • Company: Leading tech consultancy with a focus on data-driven decision-making.
  • Benefits: Collaborative environment, opportunity to influence platform improvements, and professional growth.
  • Other info: Dynamic role in a regulated environment with excellent career development opportunities.
  • Why this job: Join a team where your data insights drive real impact and innovation.
  • Qualifications: Experience as a Business Analyst with strong SQL skills and problem-solving abilities.

The predicted salary is between 40000 - 50000 Β£ 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.

Business Data Analyst 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 professional growth, with opportunities to engage directly with technical specialists and influence impactful platform improvements. Located in a vibrant tech hub, this role offers a unique chance to work on large-scale data projects while contributing to a team dedicated to excellence and continuous learning.

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Contact Details:

G.Digital Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Business Data Analyst

✨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 and SQL. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts clearly.

✨Tip Number 3

Showcase your skills through personal projects or contributions to open-source. This not only demonstrates your hands-on experience but also gives you something tangible to discuss during interviews.

✨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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Business Data Analyst

SQL
PySpark
Data Analysis
Stakeholder Engagement
Communication Skills
Problem-Solving Skills
Data Governance

Some tips for your application 🫑

Tailor Your CV:Make sure your CV speaks directly to the job description. 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 relevant to the role.

Showcase Your Stakeholder Engagement Skills:Since communication is key in this role, make sure to include examples of how you've successfully engaged with stakeholders in the past. We love seeing how you translate business needs into actionable outcomes!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 sample queries or projects. Being able to discuss your hands-on 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 business decisions. Think about examples where you've translated data findings into actionable insights. This will help you demonstrate your ability to connect data analysis with real-world outcomes during the interview.

✨Engage Stakeholders Effectively

Prepare to discuss your experience in gathering requirements and engaging with stakeholders. Have a few examples ready that showcase your communication skills and how you've navigated complex stakeholder needs in previous roles.

✨Showcase Problem-Solving Skills

Be ready to talk about specific challenges you've faced in data analysis and how you approached solving them. Highlight your investigative mindset and your ability to turn complex data issues into clear, actionable solutions.