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- Tasks: Transform complex data into actionable insights that drive business success.
- Company: Join a forward-thinking consultancy with a focus on innovation and teamwork.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by helping clients make informed decisions through data analysis.
- Qualifications: Experience in Python, SQL, and data visualisation tools like Tableau or Power BI.
- Other info: Collaborative environment with a strong emphasis on continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
Principal responsibilities will involve:
- Turn large quantities of complex client data into insights which can be used to inform decision making and drive business benefit.
- Are quick to identify incomplete and diverse data sets, pinpointing data issues which may affect the accuracy and completeness of any analysis performed.
- Recognise the importance and value of understanding the data they are analysing, validating the information provided and reconciling the data sets as part of the Data Analytics Cycle.
- Produce data visualisations, detailed reporting and analytics underpinned with clear business commentary.
- Work closely with multi-disciplined teams to deliver end to end client solutions in a timely manner.
- Balance the technical and analytical demands of their role.
- Are open-minded and flexible with a thirst for knowledge and an appetite for continuous development.
What Success Looks Like in the Role:
- Clear, concise and insightful data analytics which enable our clients to make sound business decisions based on fact.
- Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client/industry need.
- Continued improvement of Sagacity’s Product Suite through the delivery of robust data insight.
- Ability to take accountability and ownership for client and internal deliverables.
- Work as part of a Data Analytics team providing knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team’s skill sets and drive continuous learning.
Competencies and Behaviours:
- Proficiency in analytical programming language such as Python and/or SQL.
- Understanding of relational databases and concepts for querying data.
- Proficiency in tools like Tableau and/or Power BI.
- Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA.
- Proactively identifies risk and suggests mitigations.
- Is inquisitive, suggests ‘next steps’ analysis and translates analytical findings to actionable insight.
- Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial.
- Able to travel throughout the UK.
- Can be based at our London Office (min 2 days per week on site).
- Have the right to work in the UK.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Consulting and Analyst
Industries: Business Consulting and Services and IT Services and IT Consulting
Data Analyst employer: Sagacity
Contact Detail:
Sagacity 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 people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more connections you make, the better your chances of landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analyses. Use tools like Tableau or Power BI to demonstrate your ability to turn complex data into actionable insights. This will make you stand out in interviews.
✨Tip Number 3
Prepare for those interviews! Research common data analysis questions and practice your responses. Be ready to discuss how you've tackled data issues in the past and how you can contribute to the team at Sagacity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team and contributing to our mission of delivering top-notch data insights.
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 job description. Highlight your experience with data analysis, programming languages like Python or SQL, and any tools like Tableau or Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any relevant experience in Telecoms, Banking, or Utilities, as that’ll catch our eye.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've turned complex data into actionable insights. We love seeing real-world applications of your analytical prowess.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Sagacity
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you might be working with. Familiarise yourself with common data issues and how to resolve them. This will show your potential employer that you understand the importance of data accuracy and completeness.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've turned complex data into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your ability to translate data analysis into targeted information.
✨Familiarise Yourself with Tools
Brush up on your skills in analytical programming languages like Python or SQL, and visualisation tools like Tableau or Power BI. Be ready to discuss how you've used these tools in past projects, as this will highlight your technical proficiency.
✨Emphasise Team Collaboration
Since the role involves working closely with multi-disciplined teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've contributed to team success and supported knowledge transfer, which will showcase your ability to work well with others.
