Data Analyst

Consortia
Bristol
7 months ago
Create job alert
Data Analyst

Consortia are looking for a talented Data Analyst to join our client’s growing team in the Bristol office. This is a fantastic opportunity for an experienced data professional to take ownership of key reporting functions, support the transition to Power BI, and help deliver high-quality data insights.


This role offers the chance to make a significant impact in a forward-thinking organisation, while further developing your career as a Data Analyst. You will play a crucial part in maturing the function by documenting processes and driving positive change. Strong communication skills and the ability to manage internal stakeholders are essential, as is the capacity to work with clients to evaluate and prioritise requests.


The chosen Data Analyst will be a proactive, detail-oriented individual with strong problem-solving abilities. You have excellent communication skills and can clearly explain data insights to stakeholders who may not have a deep understanding of data. You thrive in a collaborative environment but are also capable of working independently to deliver high-quality results. Self-motivated, eager to learn, and ready to take on new challenges, you will be a key contributor to a growing team.


In this role, you will design and develop both standard and bespoke management reports, dashboards, and data visualisations for internal teams and external clients. You will work with tools such as Power BI, SQL, SSRS, and Excel to interrogate data and produce reports in various formats, including statistical reports and visual representations. Collaborating closely with stakeholders, you will proactively support them in defining their data needs and ensure that all reports are accurate, well-documented, and delivered promptly. You will also take a lead role in documenting reporting processes and ensuring comprehensive business intelligence documentation. As part of your responsibilities, you will mentor team members responsible for reporting requirements, helping them manage workloads and develop their skills. Additionally, you will evaluate client requests, ensuring they align with actual data needs and deliver value.


Skills and Experience

  • Strong expertise in Power BI, SQL, and SSRS.
  • Excellent knowledge of data management and data protection practices, including GDPR.
  • Experience in delivering management reports using a variety of tools and formats.
  • Strong critical and analytical thinking skills, with the ability to explain complex data concepts to non-technical stakeholders.
  • Demonstrated ability to work independently, manage priorities, and meet tight deadlines while maintaining high-quality output.
  • Project management skills, including managing customer expectations and handling multiple priorities.
  • Previous experience in mentoring or leading teams is preferred but not essential.

Consortia operates as a specialist recruitment agency, with consultants focused on global roles within UX, Product, Data, and Engineering markets. If the Data Analyst role doesn’t align with your preferences, but you are open to exploring other opportunities, feel free to connect with us for a discussion.


Kindly note, due to the high volume of applications, we may not be able to respond to each applicant individually. However, we will keep your details on file for future reference should a more suitable opportunity arise.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.