At a Glance
- Tasks: Create impactful reports and dashboards using PowerBI to unify data from Salesforce and Oracle.
- Company: Leading UK business known for bespoke services and a strong customer focus.
- Benefits: Flexible hybrid working, company bonus, great pension, and 25 days holiday plus bank holidays.
- Other info: Opportunity to champion data quality and governance in a supportive environment.
- Why this job: Join a dynamic team and make a real difference with actionable insights.
- Qualifications: Proven experience in building reports in Salesforce and understanding data models.
The predicted salary is between 35000 - 45000 £ per year.
We are currently partnered with a leading UK business who provide a bespoke service across the entire country. As the UK's go to in their industry, they have thousands of customers and specialists to provide them with the service they need. They are invested in Salesforce and are looking for a data and reporting specialist to join their team who has excellent experience using PowerBI.
Salesforce and Oracle, and with customer and business data spread across both systems, they need a reporting analyst with experience on both platforms to unify the data in PowerBI to create clear insights for the business to use. You will work within a team that has been built in-house to focus on the data and reporting elements, and you will play an important part in delivering actionable insights for the business.
- Building and enhancing reports and dashboards that drive operational, tactical, and strategic decision
- Ensuring accuracy and alignment across Salesforce, Oracle, Power BI and Snowflake output
- Championing data quality, governance, and KPI consistency across the organisation
- Proven experience building reports and dashboards in Salesforce is required
- Strong understanding of data models, relationships, and reporting structures
- Experience with enterprise systems (ideally Salesforce & Oracle / CRM & ERP)
Flexible hybrid working
Company bonus
Great pension
25 days holiday + Bank holidays
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst / analyst in Cambridge
✨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 Steadman Brown!
✨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 analyst / analyst at Steadman Brown.
✨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 Steadman Brown.
✨Apply Directly through Our Website
When you find a suitable opening like Data analyst / analyst at Steadman Brown, 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 analyst / analyst in Cambridge
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 Steadman Brown, 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 Steadman Brown. 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 Steadman Brown
✨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 Steadman Brown!
✨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.
