Sr. Business Intelligence Analyst

Trimble Inc.
Leeds
1 month ago
Applications closed

Join to apply for the Sr. Business Intelligence Analyst role at Trimble Inc.

Join to apply for the Sr. Business Intelligence Analyst role at Trimble Inc.

Your Title: Senior Business Intelligence Analyst

Job Location: UK - Hybrid Working from London, Milton Keynes, Leeds or Newcastle

Our Department: AECO (Architecture, Engineering, Construction, and Owner) Software Solutions

Are you looking for that career defining role where you can take your well honed skills and be influential in driving Business Intelligence improvements?

Join us as our Senior Business Intelligence Analyst and drive impactful insights while shaping strategic decision-making.

In this newly created role you will work as part of a Global BI team, working closely with EMEA based Sales teams and Analysts whilst lining in to our US Based Sales Intelligence Director. In this position you’ll be spearheading data analysis initiatives and fostering strong stakeholder relationships. Your role will center on leveraging your expertise in relational databases, SQL, and an array of business intelligence tools such as Salesforce, Tableau, Domo, and Power BI to drive impactful insights and strategic decision-making across the EMEA region.

This is your opportunity to work with Sales Leaders and impact how and where we go to market, our margins in particular regions, where we as a business can improve and where we can develop. Your work will have both a regional and global significance.

Because of your reporting line there will be times when you work outside of a “normal” 9-5 so that you can collaborate and work with colleagues in the Global BI team. When it comes to your location, ideally you will be within a commutable distance of one of Trimble’s UK offices: London, Milton Keynes, Leeds or Newcastle. With the expectation that you will work two-three days in the office per week (on average).

What You Will Do

  • Collaborate with cross-functional teams to identify key business requirements and translate them into analytical solutions
  • Develop and maintain robust data models, reports, and dashboards to analyze and visualize complex datasets
  • Conduct in-depth data analysis to identify trends, patterns, and insights that support strategic business initiatives
  • Proactively monitor data quality, integrity, and accuracy to ensure the reliability of reports and analysis
  • Create and deliver compelling data presentations to communicate findings and recommendations to stakeholders at various levels of the organization
  • Collaborate with stakeholders to understand their needs, provide analytical support, and offer data-driven insights to support their decision-making processes
  • Identify opportunities for process improvements and data-driven optimizations, and work closely with stakeholders to implement them
  • Stay up-to-date with industry trends, best practices, and emerging technologies related to data analysis and business intelligence tools
  • Mentor and guide junior data analysts, providing technical expertise and promoting a culture of data-driven decision making
  • Provide guidance, support, and expertise to teams within the AECO organisation on process improvement best practices to ensure proper implementation and sustainability

What Skills & Experience You Should Bring

  • Bachelor's degree in a relevant field such as Business Administration, Statistics, Computer Science, or a related discipline
  • Proven work experience as a Data Analyst, Business Analyst, or similar role, with a focus on data analysis and stakeholder management
  • Prior experience in the sales or marketing analytics domain
  • Working knowledge of Saleforce
  • Strong knowledge of PowerBI, Tableau or similar BI tools
  • Strong proficiency in SQL and Python or another OOPS language for data extraction, transformation, and analysis
  • Strong interpersonal, written, and verbal communication and presentation skills with the ability to effectively communicate complex concepts and strategies to diverse audiences
  • Demonstrated strong analytical and problem-solving skills, the ability to think critically and approach complex challenges with a strategic attitude

About Trimble

Dedicated to the world’s tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com

Trimble’s Inclusiveness Commitment

We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.

We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.

Trimble’s Privacy PolicySeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionOther
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Trimble Inc. by 2x

Get notified about new Senior Business Intelligence Analyst jobs in Leeds, England, United Kingdom.

Leeds, England, United Kingdom 2 days ago

Leeds, England, United Kingdom 2 days ago

Halifax, England, United Kingdom 2 days ago

Halifax, England, United Kingdom 2 days ago

Leeds, England, United Kingdom 2 weeks ago

Bradford, England, United Kingdom 1 day ago

Bradford, England, United Kingdom 10 hours ago

Data and Business Intelligence Manager - Leeds

Leeds, England, United Kingdom 3 days ago

Bradford, England, United Kingdom 1 day ago

Leeds, England, United Kingdom 2 days ago

Morley, England, United Kingdom 1 week ago

Data Reporting Analyst - Centre for Academic Persistence

Leeds, England, United Kingdom 20 hours ago

Leeds, England, United Kingdom 1 week ago

Skills Coach/Assessor - Data Analyst (Part Time 18.5 hours)

Bradford, England, United Kingdom 1 week ago

Leeds, England, United Kingdom 2 weeks ago

Leeds, England, United Kingdom 1 week ago

Leeds, England, United Kingdom 3 weeks ago

Bradford, England, United Kingdom 3 days ago

Bradford, England, United Kingdom 10 hours ago

Gildersome, England, United Kingdom 2 days ago

Leeds, England, United Kingdom 2 weeks ago

Leeds, England, United Kingdom 3 days ago

Leeds, England, United Kingdom 4 days ago

Leeds, England, United Kingdom 1 week ago

Bradford, England, United Kingdom 4 days ago

Gildersome, England, United Kingdom 2 days ago

Halifax, England, United Kingdom 3 days ago

Leeds, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.