National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst - Manufacturing Operations

Ball Corporation
Luton
3 days ago
Create job alert

Further your career at Ball, a world leader in manufacturing sustainable aluminum packaging. Achieve extraordinary things when you join our team, and make a difference in your professional development, the community, and around the globe!
Ball is thrilled to receive Newsweek's 2023 Top 100 Global Most Loved Workplace award! As a sustainable product leader, we have over 21,000 global team members. From endlessly recyclable aluminum cans and cups to aerosol bottles, our goal is to contribute to a better community, society, and world.
Primary purpose of the position:

The Line Speeds and Planning role interprets data to inform manufacturing decisions, gathering and analyzing information from diverse sources. They enhance data analysis methods and offer recommendations to improve Ball's business applications and data quality.


What will you be responsible for?


  1. Consolidate key performance indicators (KPIs) and their respective action plans.
  2. Prepare and monitor management meetings for results.
  3. Explore various databases, ensuring data integrity and compliance.
  4. Conduct data analysis to identify trends and patterns.
  5. Develop and maintain technology solutions for the business, including applications, automations, reports, and dashboards.
  6. Update and create reports providing relevant insights for the business through BI visualization tools.
  7. Map and optimize existing processes to enhance operational efficiency.
  8. Support technology-related innovation projects, both regionally and globally.
  9. Develop and implement continuous improvement strategies based on data analysis.
  10. Collaborate with other teams to ensure integration and alignment of data analysis initiatives with organizational objectives.


What are we looking for?


  1. Bachelor’s Degree in Engineering, Data Science, Business, or related fields.
  2. At least 3 years of experience in data analysis and reporting.
  3. At least 2 years of experience developing technological solutions.
  4. At least 2 years supporting innovation projects or solutions.
  5. Fluent in written and spoken English.
  6. Knowledge in Power Platforms (Power Apps, Power Automate, SharePoint) at an intermediate or advanced level.
  7. Proficiency in BI tools and dashboard construction (Power BI, Qlik Sense, Tableau) at an intermediate level.
  8. Knowledge of programming languages such as SQL and VBA at an intermediate level.
  9. Intermediate understanding of statistics applied to data management.
  10. Experience with relational databases.
  11. Knowledge of continuous improvement tools, structured problem-solving, and agile methodologies.
  12. Familiarity with Robotic Process Automation (RPA) and Process Mapping / BPMN.


Ball Corporation is an Equal Opportunity Employer. We actively encourage applications from everyone, regardless of gender, age, ethnicity, faith, ability, or orientation.


When you join Ball, you belong to a team of over 21,000 members worldwide. Our products range from infinitely recyclable aluminum cans and cups to aerosol bottles, enabling our customers to contribute to a better world.


We are committed to diversity and inclusion, which form the foundation of our culture of belonging. Everyone at Ball is making a difference by doing what we love. Our creations may change, but our commitment to making a difference remains constant.


Please note that the advertised job title might vary from the job title on the contract due to local job title structures and global HR systems.


No agencies please.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.