At a Glance
- Tasks: Support CRM evolution and improve data operations with innovative solutions.
- Company: Dynamic company focused on data-driven decision making and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a vibrant team with a focus on innovation and career development.
- Why this job: Gain hands-on experience in CRM, automation, and AI while making a real impact.
- Qualifications: 1-3 years Salesforce experience and a passion for data and automation.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for a motivated and analytically minded CRM & Data Operations Analyst to support the ongoing evolution of our CRM, data, and operational processes. This role is ideal for someone with some Salesforce experience who wants to broaden their skills beyond platform administration and gain exposure to data operations, automation, AI-assisted workflows, reporting, and business process improvement. Working closely with Revenue Operations, Product, Business Intelligence, and other stakeholders, you will help improve data quality, automate manual processes, support AI-driven initiatives, and ensure our CRM ecosystem remains a trusted source of truth for the business.
Responsibilities
- Administer and maintain CRM platforms — including Salesforce configuration, user permissions, fields, page layouts, validation rules, automations and dashboards — ensuring platform stability, governance standards and best practices are upheld across the business.
- Monitor and maintain data quality across systems, investigating discrepancies, onboarding new data sources and proactively identifying opportunities for improvement to ensure Salesforce remains a trusted source of truth across the organisation.
- Build and maintain operational reports, dashboards and KPI tracking frameworks, providing data analysis, performance insights and actionable recommendations to relevant stakeholders on a regular basis.
- Identify and implement opportunities to replace manual processes with scalable automation and AI-assisted solutions, evaluating and testing new tools in collaboration with Revenue Operations, Product and Business Intelligence teams to improve operational efficiency and data quality.
- Work closely with Sales, Marketing, Customer Success, Finance, Product and BI teams to understand business requirements, document existing processes and translate challenges into practical CRM and data solutions that improve efficiency, scalability and reporting capability.
Requirements
- 1-3 years of experience in Salesforce, CRM, Revenue Operations, Data Operations, or a related field
- Certified Salesforce Platform Administrator qualification
- Experience with Salesforce reports, dashboards, Flow Builder, and data management tools
- Experience using spreadsheets and data analysis tools
- Exposure to automation platforms such as Zapier, Make, or similar
- Interest in AI, process automation, and operational efficiency
CRM & Data Operations Analyst in London employer: Find.
At Find., we pride ourselves on being an excellent employer, offering a supportive work culture that prioritises employee well-being and professional growth. Located in the vibrant area of St John's Wood, London, our Endoscopy Nursing Leader role not only provides competitive salary packages but also fosters a collaborative environment where nurses can thrive and develop their leadership skills while ensuring the highest standards of patient care.
StudySmarter Expert Advice🤫
We think this is how you could land CRM & Data Operations Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace CRM & Data Operations Analyst in London
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 Find., 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 Find.. 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 Find.
✨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 Find.!
✨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.
