At a Glance
- Tasks: Manage customer data and support sales effectiveness through CRM operations and analytics.
- Company: Join a dynamic team in a leading healthcare company focused on customer engagement.
- Benefits: Competitive hourly pay, hands-on training, and opportunities for career growth.
- Other info: Office-based role in Maidenhead with a collaborative team atmosphere.
- Why this job: Make an impact by analysing data and improving customer experiences in a supportive environment.
- Qualifications: Experience with CRM systems, strong attention to detail, and good communication skills.
The predicted salary is between 14.49 - 14.49 £ per hour.
Salary: £? - ? per year
Requirements
- We have administrative or operational work experience.
- We have strong attention to detail.
- We have good communication and problem-solving skills.
- We can manage deadlines and prioritise our workload.
- We are confident using data and reporting tools.
- We are fluent in English.
- We have experience using Excel or spreadsheets, which is preferred.
- We have customer service experience, which is preferred.
- We have experience with CRM systems such as Salesforce, which is preferred.
- We have a positive, proactive attitude.
- We are logical and organised thinkers.
- We are comfortable analysing data and presenting insights.
- We are team players with a strong customer focus.
Responsibilities
- We manage customer data updates and registration requests in Salesforce.
- We match and merge customer records with the OneKey database.
- We track completed and incomplete customer registrations.
- We troubleshoot and elevate customer issues where needed.
- We support customer service and e‑solutions teams.
- We review portal analytics and engagement data.
- We assist with operational tasks such as sample loading, inventory checks, and target list validation.
- We produce and manage SFE reports to track sales team performance.
- We support the SFE Manager with reporting and analytics.
- We train new starters on digital tools including Power BI dashboards and IQVIA Healthcare Insights.
- We respond to internal reporting and data requests.
- We identify and communicate performance trends to managers.
- We support quarterly segmentation reporting and target list validation.
- We help organise and categorise reports for customer engagement analytics.
Technologies
- CRM
- Excel
- Support
- Power BI
- Salesforce
We are hiring an SFE & CRM Analyst for our office‑based team in Maidenhead at a pay rate of £14.49 per hour. In this role, we support customer engagement and sales force effectiveness through CRM operations, reporting, and analytics. We also work with healthcare professional registrations, Salesforce data, portal analytics, and digital tools used by customer‑facing teams, while following our company policies and standards across health, safety, environmental, and quality requirements.
CRM and Data Analyst in Maidenhead employer: Sivara GmbH
Join our dynamic team in Maidenhead as a CRM and Data Analyst, where we prioritise employee growth and foster a collaborative work culture. We offer competitive pay, comprehensive training on digital tools, and opportunities to engage with innovative data analytics, ensuring you thrive in your role while contributing to meaningful customer engagement initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land CRM and Data Analyst in Maidenhead
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We think you need these skills to ace CRM and Data Analyst in Maidenhead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Sivara GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
