Global Operations Data Analytics Lead — Flexible Hours
Global Operations Data Analytics Lead — Flexible Hours

Global Operations Data Analytics Lead — Flexible Hours

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data analytics projects and create impactful visualisations for decision-making.
  • Company: A top data analytics firm in Budock Water with a focus on innovation.
  • Benefits: Flexible hours, competitive salary, and comprehensive employee benefits.
  • Why this job: Join a dynamic team and make a difference through data-driven insights.
  • Qualifications: Degree in Data Analytics, experience with SQL and Python, strong project management skills.
  • Other info: Great opportunity for career growth in a supportive environment.

The predicted salary is between 36000 - 60000 £ per year.

A leading data analytics company in Budock Water seeks a Senior Data Analyst to partner with stakeholders for data-driven decision-making. This role involves crafting analyses, visualizations, and leading analytics projects independently.

The ideal candidate will have:

  • A degree in Data Analytics or a related field
  • Significant experience with SQL and Python
  • Strong project execution skills

They promote flexible working hours and offer various employee benefits.

Global Operations Data Analytics Lead — Flexible Hours employer: LexisNexis

As a leading data analytics company located in the picturesque Budock Water, we pride ourselves on fostering a dynamic work culture that values flexibility and innovation. Our employees enjoy a range of benefits, including flexible working hours, opportunities for professional growth, and a collaborative environment that encourages creativity and data-driven decision-making. Join us to be part of a team that not only values your expertise but also invests in your future.
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Contact Detail:

LexisNexis Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Global Operations Data Analytics Lead — Flexible Hours

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analyses and visualisations. This is your chance to demonstrate what you can do with SQL and Python, so make it shine!

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Global Operations Data Analytics Lead — Flexible Hours

Data Analytics
SQL
Python
Data Visualisation
Project Execution Skills
Stakeholder Engagement
Analytical Thinking
Independent Work

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've led. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

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. We love seeing personality, so let your enthusiasm come through!

Showcase Your Project Execution Skills: In your application, give examples of analytics projects you've managed. We’re looking for candidates who can lead independently, so share specific outcomes and how you tackled challenges along the way.

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’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at LexisNexis

Know Your Data Tools

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to drive data-driven decisions. This will show that you not only understand the technical side but can also apply it effectively.

Showcase Your Project Management Skills

Prepare examples of analytics projects you've led independently. Highlight how you managed timelines, collaborated with stakeholders, and delivered results. This will demonstrate your ability to execute projects successfully, which is key for this role.

Understand the Company’s Vision

Research the company’s mission and recent projects. Being able to articulate how your skills align with their goals will impress the interviewers. It shows that you're genuinely interested in contributing to their success.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, the types of analyses they prioritise, and how they measure success. This not only shows your enthusiasm for the role but also helps you gauge if the company culture fits you.

Global Operations Data Analytics Lead — Flexible Hours
LexisNexis

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