CRM & Business Intelligence Analyst

Straumann Group
Blackburn with Darwen
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Business Intelligence Analyst

Lead Business Intelligence Analyst

Lead Business Intelligence Analyst

Business Intelligence Developer

Business Intelligence Developer

Marketing Data Analyst

JOB DESCRIPTION

The Straumann Group is a globally leading provider in the field of aesthetic dentistry. We combine experience, scientific evidence, and innovation with passion and are committed to uncompromising quality to offer dental professionals and patients worldwide the best possible solutions. As a pioneer and market leader in dental implantology, we have consistently expanded our product portfolio in recent years. Today, we are active in all areas of aesthetic dentistry, ranging from tooth preservation, regeneration, restoration, orthodontics with transparent aligner trays to tooth loss.

As part of our Commercial Excellence team in the Northern European Hub (NEH), we are looking for a Business Intelligence Analyst who is passionate about turning data into insight, data architecture, and process optimisation. 

This role offers a unique combination of responsibilities across CRM, data quality, AI-driven innovation, and market intelligence. You’ll also be hands-on with Salesforce, supporting both users and platform development. If you're data-minded, driven, and eager to learn, this is a great opportunity to develop within a forward-thinking team supporting multiple geographies and business units.


Key Responsibilities
CRM Management & Commercial Analytics

Support the day-to-day operation, development and optimisation of our CRM systems including Salesforce and Pitcher platforms. Actively participate with our Global/Regional teams in testing new features and assisting with platform improvements. Provide hands-on support to end users and contribute to capability-building initiatives and user training. Analyse and share data to drive understanding of platform adoption and utilization (internal and external), customer experience and engagement, and campaign effectiveness.  Identify behavioural trends and patterns to support go-to-market strategy.

Data Quality & Integrity

Ensure CRM data landscape across SAP CRM and Salesforce is accurate, consistent, and complete. Run data quality checks, provide visibility and monitoring tools, and support data cleansing initiatives. Collaborate with business users to drive data ownership and governance best practices.

Business Intelligence & Reporting

Design and deliver reporting and dashboards using Power BI and Salesforce Analytics (CRMA). Analyse commercial and operational data to generate actionable insights.

AI & Digital Tools

Leverage AI-based solutions (e.g. predictive analytics, automated insights, anomaly detection) to improve performance tracking, decision-making and process optimisation. Explore opportunities to automate routine reports and processes. Stay informed on emerging tools and help integrate them into our BI/CRM ecosystem.

Market Intelligence & Strategy Support

Collect and analyse data on market trends, competitors, and customer needs. Support development of internal market insight packs and dashboards. Assist in strategic reviews, commercial planning cycles and GTM using internal and external data.


Who You Are 

Driven, analytical, data-curious, and enthusiastic about learning and problem-solving. A strong communicator who can explain data insights to various audiences.  Passionate about data, business intelligence, and digital transformation. 

Bachelor’s degree in business, data & tech, or a related field. 

Ability to work in a dynamic, fast-paced environment and adapt to changing priorities. 

What you'll bring:

Experience with CRM systems in business, preferably: Salesforce, SAP CRM, Power BI, Alteryx or similar tools. 

Previous experience in a data/analyst/sales operation’s role. 

Exposure to and experience with AI tools, data modelling, and automation technologies. 

What You’ll Gain

A dynamic learning and development journey with plenty of growth opportunities. Involvement in shaping the future of Straumann’s commercial data, strategy and digital platform optimisation. Hands-on experience, training and development with leading platforms like Salesforce, Pitcher, PowerBI and Alteryx. Involvement in globally led initiatives, and exposure to stakeholders across our northern hub countries and business units.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Save

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

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.

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.

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.

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.