Business / Data Analyst

HARMAN International

Hemel Hempstead

1 year ago

Applications closed

Related Jobs

View all jobs

Business Data Analyst

Senior Data Analyst – Business Insights (Power BI)

Senior Business Data Analyst

Remote Data Analyst & Maps Researcher

Senior Business Data Analyst — Power BI & ERP Analytics

Senior Business Data Analyst: Power BI & Data Mastery

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.

Industry Insights

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

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.