IT Data & Reporting Analyst

IT Data & Reporting Analyst

Full-Time 40000 - 45000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain Power BI dashboards to drive smart business decisions.
  • Company: Fast-growing consumer brand investing in technology and data.
  • Benefits: Salary up to £45,000, 25% bonus, free lunches, and hybrid working.
  • Other info: Great opportunity for growth in modern data platform technologies.
  • Why this job: Join a data-driven team and enhance your technical skills in a dynamic environment.
  • Qualifications: Experience with Power BI, SQL, and a curious analytical mindset.

The predicted salary is between 40000 - 45000 £ per year.

Salary up to £45,000 + Fantastic bonus and package. Talentedge Tech are working with a well-known, fast-growing consumer brand that’s investing heavily in technology and data. They’re looking for an IT Data & Reporting Analyst to take ownership of reporting and dashboards, helping the business make smarter decisions every single day.

This is a fantastic opportunity for someone who enjoys getting under the skin of data, solving problems, and working closely with stakeholders across the business.

What you’ll be doing:

  • Designing, building and maintaining Power BI dashboards and reports that drive business decisions
  • Writing SQL (needed) and ideally Python (desirable) to extract, manipulate and analyse data
  • Investigating data issues end-to-end, following the journey from source systems through the data warehouse to reporting
  • Gathering reporting requirements from stakeholders and turning them into practical solutions
  • Supporting forecasting and predictive analytics initiatives
  • Working alongside IT teams and external data partners to continuously improve reporting capability

What we’re looking for:

  • Experience building reports and dashboards in Power BI (or similar, but Power BI used here)
  • An understanding of data warehousing and reporting architecture would be an advantage
  • A naturally curious, analytical mindset with excellent problem-solving skills
  • Someone who enjoys working with both technical and non-technical stakeholders
  • Someone who is commercially aware, we’re looking for someone that likes to understand "why" they are doing something.

Nice to have:

  • Microsoft Fabric exposure (or a desire to learn)
  • Python and/or Spark
  • A desire to learn, understand and implement Data modelling, Data Architecture & ETL
  • Experience within retail, hospitality or a fast-paced consumer environment would be a big plus.

What’s in it for you:

  • Salary up to £45,000
  • Bonus up to 25% (!) of your basic salary
  • Free lunches
  • Hybrid working, central London office (4 days in office, 1 day from home)

This is an excellent opportunity to join a business where data is genuinely at the heart of decision making, offering plenty of scope to develop your technical skills and grow into modern data platform technologies over time.

IT Data & Reporting Analyst employer: Talentedge

Join a dynamic e-commerce start-up that values innovation and agility, offering you the chance to take ownership of financial processes in a fast-paced environment. With a strong emphasis on employee growth and collaboration, you'll work closely with founders and senior leadership, ensuring your contributions directly impact the company's success. Enjoy a vibrant work culture that encourages creativity and provides unique opportunities for professional development.

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Contact Details:

Talentedge Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land IT Data & Reporting Analyst

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Apply Directly through Our Website

When you find a suitable opening like IT Data & Reporting Analyst at Talentedge, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace IT Data & Reporting Analyst

Power BI
SQL
Python
Data Analysis
Data Warehousing
Reporting Architecture
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Talentedge, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Talentedge. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Talentedge

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Talentedge!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.