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- 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 skills in Excel, Python, and SQL.
- Other info: Immediate joiners preferred; dynamic work environment with a focus on collaboration.
The predicted salary is between 36000 - 60000 £ per year.
This is a permanent work from home position from anywhere in India. Notice period - less than 30 Days (Immediate joiners preferred).
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) employer: 9NEXUS
Contact Detail:
9NEXUS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (Python and SQL)
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the lookout for a Senior Data Analyst role. You never know who might have a lead or can refer you directly!
✨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 to show them why you’re the perfect fit.
✨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 their minds. Plus, it’s a great chance to reiterate your key strengths!
We think you need these skills to ace Senior Data Analyst (Python and SQL)
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 your relevant projects and 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 your previous roles.
Show Off Your Communication Skills: Since you'll be interacting with stakeholders, it's crucial to demonstrate your communication prowess. 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’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at 9NEXUS
✨Know Your Tools Inside Out
Make sure you brush up on your Advanced Excel, Python, and SQL skills. Be ready to discuss specific projects where you've used these tools to drive insights or automate processes. Practising coding challenges or data analysis scenarios can really help you feel confident.
✨Prepare for Stakeholder Interaction
Since the role involves communicating with both technical and non-technical stakeholders, think of examples where you've successfully translated complex data into actionable insights. Practise explaining your findings in simple terms, as this will showcase your communication skills.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled data-related challenges in the past. Think about specific instances where your analytical skills led to significant improvements or efficiencies. This will demonstrate your ability to provide value to the business.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.
