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For Companies At a Glance
- Tasks: Drive data insights and automate processes using Advanced Excel, Python, and SQL.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Work from home, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for stakeholders.
- Qualifications: 6+ years of experience in data analysis with strong Excel, Python, and SQL skills.
- Other info: Immediate joiners preferred; dynamic work environment with great career potential.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Senior Data Analyst with strong expertise in Advanced Excel and automation to drive data insights and process efficiency. The ideal candidate should have excellent communication skills to interact with stakeholders, translate business requirements into analytical solutions, and present findings effectively.
Responsibilities
- Perform data analysis, reporting, and automation using Advanced Excel, Python, SQL.
- Build automated dashboards and reporting solutions to streamline processes.
- Collaborate with business teams to gather requirements and provide actionable insights.
- Ensure data accuracy, integrity, and timely delivery of reports.
- Present findings clearly to both technical and non-technical stakeholders.
Qualifications / Key Skills
- Advanced Excel (Macros, VBA, Power Query, Automation)
- Data Analysis & Reporting
- Python and SQL
Senior Data Analyst (Python and SQL) in London employer: 9NEXUS
Contact Detail:
9NEXUS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (Python and SQL) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analysis field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to showcase your Advanced Excel expertise. Practice explaining your past projects and how you've used data to drive insights.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company’s culture and values.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate why you’re the perfect fit!
We think you need these skills to ace Senior Data Analyst (Python and SQL) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Advanced Excel, Python, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Analyst role. Share specific examples of how you've driven data insights and improved processes in previous roles.
Showcase Communication Skills: Since you'll be interacting with stakeholders, it's crucial to demonstrate your communication skills. In your application, mention instances where you've successfully translated complex data into actionable insights for non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at 9NEXUS
✨Know Your Tools Inside Out
Make sure you brush up on your Advanced Excel skills, especially Macros and VBA. Be ready to discuss how you've used Python and SQL in past projects, as this will show your technical prowess and ability to automate processes.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data analysis. Think of examples where you've translated business requirements into actionable insights and be prepared to explain your thought process clearly.
✨Showcase Your Communication Skills
Since you'll be interacting with both technical and non-technical stakeholders, practice explaining complex data findings in simple terms. This will demonstrate your ability to bridge the gap between data and business needs.
✨Have a Portfolio Ready
If possible, prepare a portfolio of your previous work, including automated dashboards or reports you've created. This tangible evidence of your skills can set you apart and give interviewers confidence in your abilities.
