At a Glance
- Tasks: Lead data strategy and governance to optimise customer data for impactful business decisions.
- Company: Join a forward-thinking company focused on data-driven success and innovation.
- Benefits: Enjoy competitive salary, career development, and a collaborative work environment.
- Other info: Opportunity to work with cutting-edge technologies and develop future data capabilities.
- Why this job: Make a real difference by enhancing customer engagement through advanced analytics.
- Qualifications: Experience in CRM data management and strong SQL skills required.
The predicted salary is between 60750 - 74250 £ per year.
The Senior Data Analyst is responsible for leading the strategy, governance and optimisation of customer data within the CRM function. The role ensures the integrity, accuracy and effective use of customer data to support customer engagement, sales performance and business decision-making. Working closely with Commercial, Marketing and IT teams, the postholder will drive data-led improvements, maximise the value of CRM systems and support the development of advanced analytics capabilities across the organisation.
Key Responsibilities:
- Develop and implement CRM data strategies aligned with business objectives and customer engagement goals.
- Lead data governance activities, ensuring data accuracy, quality standards, validation processes and compliance requirements are maintained.
- Act as the subject matter expert for CRM data and Salesforce, providing leadership on system administration, optimisation and governance.
- Manage and enhance customer data integrations across CRM and wider business systems, including data architecture, automation and reporting solutions.
- Produce analysis, reporting and insights to support customer engagement, marketing effectiveness, commercial performance and strategic decision-making.
- Collaborate with internal stakeholders and external partners to develop CRM and analytics capabilities and promote best practice in data management.
- Lead GDPR, data protection and data governance activities, ensuring compliance with regulatory requirements and organisational policies.
- Support the development of future data capabilities, including AI, predictive analytics and enhanced customer insight initiatives.
- Manage, coach and support the CRM Data Executive, fostering capability development and high performance.
Qualifications and Experience:
- Essential: Significant experience in CRM data management, analytics and data governance.
- Extensive experience of CRM platforms, including Salesforce and Salesforce Marketing Cloud or equivalent systems.
- Advanced SQL skills with experience of working with large and complex datasets.
- Experience of developing dashboards and reporting using Power BI or similar business intelligence tools.
- Demonstrable project management experience with the ability to manage multiple priorities and stakeholders.
- Strong understanding of GDPR, data protection legislation and data governance principles.
- Excellent analytical, problem-solving and decision-making skills.
- Strong communication and stakeholder management skills with the ability to translate technical information into business-focused recommendations.
- Excellent written and verbal communication skills in English.
- Desirable: Degree or professional qualification in Data Analytics, Technology, Computer Science, Business Intelligence or a related field.
- Salesforce Data Architecture & Management certification or equivalent.
- Experience using Python for data analysis, automation or process improvement.
- Knowledge of AI and machine learning applications within CRM and customer analytics.
- Experience within customer-focused B2B or B2C environments.
- French language skills.
Person Specification:
- Strong understanding of CRM data management, data architecture and customer analytics.
- Advanced SQL and reporting skills.
- Strong knowledge of Salesforce and CRM platforms.
- Sound understanding of data protection and governance requirements.
- Ability to interpret complex data and present clear, actionable insights.
- Strategic thinker with a data-driven approach.
- Strong leadership and coaching capability.
- Excellent collaboration and relationship-building skills.
- Highly organised with the ability to manage competing priorities.
- Proactive and self-motivated with strong attention to detail.
- Customer-focused with a commitment to continuous improvement.
- Ability to influence stakeholders at all levels of the organisation.
Senior Data Analyst employer: Getlink
Getlink is an exceptional employer that prioritises the development of its employees through a culture of continuous improvement and operational excellence. Located in a dynamic environment, we offer competitive benefits, a strong focus on safety and compliance, and ample opportunities for professional growth within our technical teams. Join us to be part of a forward-thinking organisation that values your contributions and fosters a collaborative work atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Getlink!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Getlink.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Getlink.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Getlink, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Getlink, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Getlink. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Getlink
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Getlink!
✨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.
