At a Glance
- Tasks: Lead a team to create impactful dashboards and automation solutions.
- Company: Join a leading national household retailer with a focus on customer insights.
- Benefits: Competitive salary, up to 20% bonus, and flexible remote work options.
- Other info: Opportunity for career growth in a dynamic, supportive environment.
- Why this job: Make a real difference in data-driven decision making and business strategy.
- Qualifications: Expertise in Power BI, SQL, and experience in leading teams.
The predicted salary is between 48000 - 68000 £ per year.
We are looking for a Data & Power BI Manager to lead a small team. Working for a national household retailer. This role is virtually remote, with 2-3 days a month required to attend their UK HQ.
Reporting into the Director of Customer Insights & Data Analytics, you will:
- Create and manage their suite of dashboards, to help facilitate the business to get closer to their customers, informing business strategy and decision making.
- Help and lead the development of automation solutions and workflow integrations, using platforms such as Databricks, Airflow, Power Apps, Power Automate.
- Help define the right data flow architecture that delivers tangible results quickly.
- Lead and develop a small team of Analysts.
- Develop internal relationships with key stakeholders to turn their analytical challenges into useful data they can make decisions on.
You will be:
- Proven within Power BI, Power Apps, Power Automate.
- Well versed in data visualisation and BI best practice.
- Expert in SQL.
- Experience within Databricks, Snowflake, or Google BigQuery.
- Proven record of managing automation and workflow tools and embedding them in operational processes.
- Experience leading teams.
- Experience of developing internal key stakeholder relationships.
On offer a salary of £80-85k + up to 20% bonus & other benefits.
Data & BI Manager in Edinburgh employer: EA First
As a leading national household retailer, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. With the flexibility of a virtually remote role and the opportunity to collaborate with a talented team at our UK HQ, you will enjoy a supportive environment that encourages innovation and creativity in data management. Our commitment to your professional advancement is complemented by competitive compensation, including a generous bonus structure and comprehensive benefits, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data & BI Manager in Edinburgh
✨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 EA First!
✨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 Data & BI Manager at EA First.
✨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 EA First.
✨Apply Directly through Our Website
When you find a suitable opening like Data & BI Manager at EA First, 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 Data & BI Manager in Edinburgh
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 EA First, 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 EA First. 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 EA First
✨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 EA First!
✨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.
