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- Tasks: Validate and analyse data to support strategic business decisions and create advanced Power BI dashboards.
- Company: Join a forward-thinking company that values data-driven insights and innovation.
- Benefits: Competitive salary, flexible benefits, and access to a range of discounts and services.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Proficiency in SQL, Python, and experience with data visualisation tools like Tableau.
- Other info: Mentorship opportunities and a culture of continuous learning await you.
The predicted salary is between 28800 - 48000 £ per year.
The Data Analyst plays a crucial role in bolstering and upholding the reliability of our system data infrastructure. This position requires a proactive stance towards validating data, guaranteeing its dependability for informing strategic business decisions and reporting. Additionally, the Analyst will spearhead the creation, evolution, and oversight of advanced Power BI dashboards, while also making substantial contributions to system and process improvements. As the focus on data analytics continues to expand, proficiency in Python and SQL is now indispensable for streamlining tasks and uncovering profound insights.
Responsibilities
- Work as data expert, proficient at navigating available data and selecting the most relevant analytical techniques.
- Provide expert opinions on segmentations and root cause analyses.
- Deliver optimal customer intelligence data products, providing powerful insights that empower data-driven decision-making.
- Experience conducting A/B experiments and leveraging statistics to deliver results.
- Experience working in a fast-paced environment to deliver high-quality analysis.
- Actively mentor and coach junior data analysts, fostering a culture of innovation, best practices, and peer review within the team.
Required skills and experience
- Advanced Google Standard SQL and MySQL or similar relational database language.
- Fluency in Python and its application in data analysis.
- Familiarity with Google BigQuery or other data warehouse solutions.
- Experience with Tableau; creating & managing data sources and converting complex insights into a digestible format.
- Working knowledge of Google Analytics or other web-based analytical tools (e.g. Heap Analytics).
- Advanced Microsoft Excel/Google Sheets.
- Strong sense of commercial awareness that enables you to translate data into real outcomes for users & the business.
- Strong strategic capability, to use data to identify growth opportunities, and formulate plans to achieve a set of defined goals, objectives, and key results (OKRs).
- A strong ability to communicate findings to stakeholders in a concise and engaging manner.
- Able to succeed in a high-performance environment where multiple projects are run in parallel.
- Ability to work under pressure.
- Ability to forge strong cross-functional relationships.
- Eagerness to learn & develop new skills.
- Knack for consultancy mode delivery of projects.
Benefits
We pay competitive salaries based on experience of the candidates, along with this, you will be entitled to an award-winning range of benefits including access to our company car scheme or car allowance, free confidential 24/7 GP service, hundreds of discounts (including retail, childcare + gym), affordable loans & enhanced pension scheme.
Data Analyst employer: Sneak Peek Tech
Contact Detail:
Sneak Peek Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application easier for us!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Python, and any relevant tools like Power BI or Tableau. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Be sure to mention specific projects or experiences that showcase your expertise.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Share examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your analytical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at Sneak Peek Tech
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in creating dashboards or conducting analyses. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Analytical Mindset
Prepare to talk about specific examples where you've used data to drive decisions. Whether it's A/B testing or root cause analysis, having concrete examples will demonstrate your ability to think critically and strategically about data.
✨Communicate Clearly
Practice explaining complex data insights in a simple way. You might be asked to present findings to stakeholders, so being able to convey your message clearly and engagingly is key. Think about how you would explain your work to someone without a technical background.
✨Emphasise Team Collaboration
Since mentoring junior analysts is part of the role, be prepared to discuss your experience working in teams. Highlight any instances where you've fostered collaboration or shared best practices, as this shows you're a team player who values growth and innovation.
