Data Analyst

PACE ADVISORY LTD
Glascote
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Overview: We are looking for a highly skilled and motivated Data Analyst to join our dynamic team. The ideal candidate will have a strong background in data analytics, with proficiency in Power BI, Power Apps, Python scripting, and SQL. The Data Analyst will be responsible for analyzing complex datasets, creating insightful dashboards, and developing automated solutions to drive data-driven decision-making across the organization. Key Responsibilities: Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and insights to support strategic decision-making. Dashboard Development: Design and develop interactive dashboards and visualizations using Power BI to communicate findings effectively to stakeholders. Automation & Scripting: Utilize Python scripting to automate data processing, cleaning, and analysis tasks. Database Management: Write, optimize, and maintain SQL queries to extract, manipulate, and analyze data from various databases. App Development: Develop and maintain low-code/no-code applications using Power Apps to streamline business processes and improve data accessibility. Data Quality & Integrity: Ensure data accuracy and consistency across all reports, dashboards, and analytical outputs. Collaboration: Work closely with cross-functional teams, including finance, marketing, operations, and IT, to understand data requirements and deliver actionable insights. Continuous Improvement: Identify opportunities to improve data analysis processes and tools and implement innovative solutions. Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, Information Technology, or a related field. 2 years of experience in a data analysis or similar role. Strong proficiency in Power BI for data visualization and dashboard creation. Experience with Power Apps for developing applications and automating workflows. Proficiency in Python scripting for data analysis and automation tasks. Strong knowledge of SQL for querying, data manipulation, and database management. Experience with data modeling, data warehousing, and ETL processes. Familiarity with cloud-based data platforms (e.g., Azure, AWS) is a plus. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills and the ability to present complex data insights to non-technical stakeholders. Preferred Skills: Advanced expertise in Power BI for complex data visualization and report creation. Proficient in creating and managing custom applications using Power Apps to automate business processes. Experience in developing and optimizing Python scripts for data analysis, automation, and workflow improvements. Strong background in writing and optimizing SQL queries for complex data retrieval, manipulation, and analysis. Experience with ETL (Extract, Transform, Load) processes and data integration. Familiarity with data visualization best practices to ensure clear and effective communication of insights. Understanding of data modeling techniques to support the creation of efficient, scalable analytical solutions. Personal Attributes: Analytical mindset: Able to think critically and approach data with curiosity and rigor. Detail-oriented: Thorough in ensuring data accuracy and quality. Collaborative: Comfortable working in a team environment and across departments. Self-motivated: Able to work independently and manage multiple tasks simultaneously. Adaptable: Willing to learn new tools and technologies as needed. What We Offer: - Competitive salary and benefits package. - Opportunities for professional development and career growth. - Collaborative and inclusive work environment. - Flexible work arrangements (2/3 days a week remote)

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.