Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business / Data Analyst

HARMAN International
Hemel Hempstead
1 year ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst - Business Intelligence (9-month FTC)

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Requirements

Bachelors/Masters degree in Business Administration, Computer Science, Information Systems, or related field. Proven experience as a business analyst, preferably in projects involving Azure data services. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Proficiency in data modeling concepts and experience with tools like Azure Data Factory and Azure Databricks. Hands-on experience with Azure data services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. Familiarity with data visualization tools like Power BI or Tableau. Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively. Certification in Azure data services e.g., Azure Data Engineer Associate) is a plus. Strong attention to detail and a commitment to delivering high-quality results.

Responsibilities:

Collaborate with stakeholders to gather and analyze business requirements related to data analytics, reporting, and data-driven decision-making. Evaluate business requirements to identify opportunities for leveraging Azure data services and provide recommendations for optimal solutions. Analyze and interpret data from various sources to identify trends, patterns, and insights. Work with data architects to design data models that align with business needs and leverage Azure data services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Coordinate with data engineers to ensure seamless integration of data from various sources into Azure data platforms, ensuring data quality and integrity. Partner with visualization experts to create meaningful dashboards and reports using tools like Power BI, enabling stakeholders to derive actionable insights from data. Monitor and analyze the performance of Azure data solutions, identify bottlenecks, and recommend optimizations to enhance efficiency and scalability. Monitor and analyze data to ensure compliance with regulations, policies, and procedures. Document business requirements, technical specifications, and data governance policies to ensure clarity and maintain consistency throughout the project lifecycle. Serve as a liaison between business stakeholders and technical teams, facilitating effective communication and alignment of goals throughout the project.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.