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- Tasks: Create impactful BI dashboards and ensure data governance for insightful decision-making.
- Company: Leading data insights company based in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and turn data into actionable insights that drive business success.
- Qualifications: Advanced SQL, Python skills, and a degree in a STEM field required.
- Other info: Collaborative environment with a strong emphasis on data quality and analytical excellence.
The predicted salary is between 36000 - 60000 £ per year.
A leading data insights company is looking for an experienced Data Analyst to join their team in London. You will work within a data team, leveraging your skills in SQL, Python, and data visualization tools like Power BI to generate valuable business insights.
The ideal candidate will have:
- Advanced SQL and Databricks experience
- A degree in a STEM field
- The ability to communicate complex data findings to non-technical stakeholders
This position offers a dynamic environment where you will contribute to data quality initiatives and develop key analytical reports and dashboards.
Data Insights Analyst: BI Dashboards & Data Governance employer: MANCOMM
Contact Detail:
MANCOMM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst: BI Dashboards & Data Governance
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best work with SQL, Python, and Power BI. Having tangible examples of your data visualisation prowess can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your SQL queries and data governance concepts. We can even set up mock interviews to help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Insights Analyst: BI Dashboards & Data Governance
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL, Python, and data visualisation skills in your application. We want to see how you can leverage these tools to generate insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with BI dashboards and data governance, as it’ll show us you’re the perfect fit for our team.
Keep It Clear and Concise: When explaining your past experiences, keep it straightforward. We love clarity, especially when it comes to complex data findings. Remember, we need to communicate these insights to non-technical folks too!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at MANCOMM
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how they contributed to business insights. Practising common SQL problems can really help you stand out.
✨Show Off Your Python Skills
Since Python is a key part of the role, be ready to talk about projects where you've used it for data analysis or visualisation. If possible, bring examples of your work or even a small project that showcases your coding abilities.
✨Visualisation is Key
Familiarise yourself with Power BI and any other data visualisation tools mentioned in the job description. Prepare to discuss how you've used these tools to create dashboards that effectively communicate data insights to non-technical stakeholders.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. The ability to convey your insights to non-technical audiences is crucial, so think of examples where you've successfully done this in the past.
