At a Glance
- Tasks: Lead the strategy and design of Salesforce, driving automation and managing data flows.
- Company: Join Harri, a pioneering tech company transforming the hospitality industry.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and career advancement.
- Why this job: Be at the forefront of innovation, shaping the future of workforce management.
- Qualifications: Experience with Salesforce architecture and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
About Harri It’s a great time to join Harri as we revolutionize the hospitality industry with our cutting-edge technology solutions for workforce management.
We’re an innovative, high-growth company with a global presence, dedicated to building strong partnerships and delivering measurable value to our customers.
We’re looking for a Salesforce Architect to own the strategy, design, and long-term scalability of Salesforce as the system of record and all data flowing into the system.
You’ll be the technical backbone of our Revenue Operations organization, mapping processes and data across systems, driving AI-powered automation, and leading discovery and program management for Salesforce initiatives from concept through rollout.
You’ll partner closely with our Salesforce Admin and Developer, and with stakeholders across Sales, Marketing, and Customer Success, to keep our CRM scalable, well-documented, and built for growth.
What You’ll Be Doing As our Salesforce Architect, your responsibilities will include: Owning end-to-end CRM strategy, design, and architecture across Salesforce, the Harri platform, Gainsight, CPQ, billing, and other systems in Harri's tech stack.
Mapping business processes and data flows across Salesforce, integrations, and adjacent systems to keep our data model coherent, scalable, and well-documented and to understand which system is the source of truth for specific data points.
Leading AI strategy within the Salesforce ecosystem, identifying and building automation that reduces manual work across business users, Finance, and Revenue Operations.
Driving business analysis and program management for Salesforce-related initiatives, including scoping new requests, running discovery, and managing multi-phase implementation roadmaps.
Designing and maintaining Harri's core
Data Analyst in London employer: Harri UK
Harri is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those looking to thrive in a fast-paced startup environment. With a commitment to employee growth, we offer competitive salaries, opportunities to drive impactful projects, and a collaborative team atmosphere in our London office. Join us to be part of a diverse team that values unique perspectives and encourages personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
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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 Harri UK.
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We think you need these skills to ace Data 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 Harri UK, 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 Harri UK. 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 Harri UK
✨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
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 Harri UK!
✨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.
