Business / Data Analyst

HARMAN International
Hemel Hempstead
1 year ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst BELFAST £600/day Banking

Business Data Analyst (Junior)

Business Data Analyst

Business Data Analyst

Business Data Analyst - BELFAST

Business Data Analyst

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.

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 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

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

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.