CRM & Business Intelligence Analyst

Straumann Group

South Ayrshire Council

8 months ago

Applications closed

Related Jobs

View all jobs

Head of BI Business Intelligence and Data

Business Data Analyst

Finance Data Analyst

Data Quality Manager

Systems and Data Analyst

D365 CE Data Architect

Equal Opportunity and Affirmative Action Employer (US applicants only)

Straumann Group is an equal opportunity employer and will not discriminate against any employee or applicant for employment on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national origin, age, veteran status, or disability unrelated to job requirements. Straumann Group will take affirmative action to ensure that qualified applicants are employed and that employees are treated without regard to their race, age, color, religion, sex, sexual orientation, gender identity, national origin, veteran and disability status. In compliance with U.S. Department of Labor Executive Order 11246, Section 503 of the Rehabilitation Act, and Section 4212 of the Vietnam Era Readjustment Assistance Act, Straumann Group has developed and maintains an affirmative action program and plan.

We comply with the Employee Polygraph Protection Act (EPPA), and Massachusetts law. It is unlawful for private employers to use lie detector tests for pre-employment screening or during employment, except in limited circumstances. An employer who violates this law shall be subject to criminal penalties and civil liability.

.

Get tailored job recommendations based on your interests.

profile icon ${profileData.firstName ? profileData.firstName.substring(0,1) : ''} ${profileData.firstName.substring(0,1)}

Hi ${profileData.firstName ? profileData.firstName : 'User'}, you've got a

${widgetBundle[fit.name] | pht : jobJobMatchsData[eachJob['jobSeqNo']][fit.name].data}

Match score for this job is unavailable at this moment

${socialProvider} Connected ${socialProvider} Connected

Find out how well you match this job

RESUME UPLOADED!

In order to process your resume and provide job recommendations you must agree to our privacy policy and terms of service I have read and accept the and Save my resume and contact me for jobs that I may be a fit for Please accept terms of use and policy.

Choose your path!

Either use your resume or tell us a little about yourself

Sign me up for company updates failure icon

Oops invalid format...

Oops...

Please upload one of the following file formats: pdf, docx, txt

Something went wrong.

Please try to upload your resume again

${widgetBundle['resumeUploadedMessage'] | pht:{"resumeName": profileData.resumeName}}

Sorry ! Something went wrong, please try again in a few minutes

But we noticed below information is missing from it.
Please complete the following:

We noticed below information is missing from it.
Please complete the following:

${widgetBundle['resumeUploadedMessage'] | pht:{"resumeName": profileData.resumeName}}

Sign in and keep your data for future visits

We never post anything without your permission success icon

Great!

Your file is successfully uploaded Enjoy your personalized jobs reset icon By resetting personalization
you will lose your personalized job recommendations
resume uploaded resume uploading

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.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

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.