Data Analyst

PACE Global
Tamworth
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst – Insurance Claims Analytics

Data Analyst / BI Developer - Customer & Digital Analytics

Data Analyst - Customer & Digital Analytics

Job Overview:

We are looking for a highly skilled and motivatedData Analystto join our dynamic team. The ideal candidate will have a strong background in data analytics, with proficiency inPower 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.



All potential candidates should read through the following details of this job with care before making an application.

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 usingPower BIto communicate findings effectively to stakeholders.
  • Automation & Scripting: UtilizePython scriptingto automate data processing, cleaning, and analysis tasks.
  • Database Management: Write, optimize, and maintainSQLqueries to extract, manipulate, and analyze data from various databases.
  • App Development: Develop and maintain low-code/no-code applications usingPower Appsto 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 degreein Data Science, Computer Science, Statistics, Information Technology, or a related field.
  • 2+ yearsof experience in a data analysis or similar role.
  • Strong proficiency inPower BIfor data visualization and dashboard creation.
  • Experience withPower Appsfor developing applications and automating workflows.
  • Proficiency inPython scriptingfor data analysis and automation tasks.
  • Strong knowledge ofSQLfor 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 inPower BIfor complex data visualization and report creation.
  • Proficient in creating and managing custom applications usingPower Appsto automate business processes.
  • Experience in developing and optimizingPython scriptsfor data analysis, automation, and workflow improvements.
  • Strong background in writing and optimizingSQL queriesfor complex data retrieval, manipulation, and analysis.
  • Experience withETL (Extract, Transform, Load) processesand 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).

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.