Data Analyst

Data Analyst

Leeds Full-Time 40000 - 45000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Analyst to shape our data and AI strategy.
  • Company: Be part of a top 100 UK employer dedicated to empowering leaders.
  • Benefits: Enjoy a competitive salary, flexible working, and paid professional development.
  • Why this job: Work with exciting datasets and drive impactful data-driven insights.
  • Qualifications: Passion for data, strong SQL skills, and a grasp of data management concepts required.
  • Other info: This is a permanent role for UK residents only; no sponsorship available.

The predicted salary is between 40000 - 45000 £ per year.

Job Description

Data Analyst – Build the Future of Data Strategy

Are you a data enthusiast ready to shape the future of data strategy in a purpose-driven organisation?

A highly respected UK professional body-dedicated to empowering managers and leaders-is making a landmark data hire. This is a unique opportunity to join a top 100 UK employer and be a part of their AI strategy.

About the role:

This is the first data hire for a visionary Head of Data, offering you the chance to help define the data and AI strategy from the ground up. You'll work with fascinating datasets, contribute to a Snowflake transformation, and help drive automation and efficiency through AI.

Responsibilities:

  • Act as an ambassador for Master Data Management (MDM), Data Quality, and Data Governance
  • Establish and lead data management practices across the organisation
  • Drive GDPR-compliant system and data deliverables
  • Embed data principles into modernised technology architecture
  • Analyse and manipulate large datasets using SQL and Python (Snowflake is a bonus)
  • Inform business and technology strategy with data-driven insights
  • Support education and training in data analytics across the business

Requirements:

  • Passion for data and its potential to drive business outcomes
  • Strong grasp of data management concepts and cloud/iPaaS technologies
  • Excellent analytical, communication, and technical skills
  • Proven experience with advanced SQL and DBMS systems
  • Ability to produce clear, accurate proposals and recommendations

Benefits:

  • Salary: £40,000-£45,000
  • Time Off: 21 days holiday + 8 bank holidays + 4.5 days off over Christmas (not deducted from your allowance)
  • Work-Life Balance: Early finish Fridays, flexible working
  • Professional Development: Paid accreditations
  • Pension: 6% employer contribution
  • Remote-first culture with flexibility built in

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Contact me:

Data Analyst employer: Tenth Revolution Group

Join a highly respected UK professional body that is dedicated to empowering managers and leaders, where you will play a pivotal role in shaping the future of data strategy. With a remote-first culture, flexible working hours, and a strong commitment to professional development, this organisation offers an excellent work-life balance and the opportunity to make a meaningful impact through innovative data practices. As part of a top 100 UK employer, you will benefit from a supportive environment that values your growth and contributions.
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Contact Detail:

Tenth Revolution Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarise yourself with Master Data Management (MDM) and Data Governance principles. Understanding these concepts will not only help you in interviews but also demonstrate your commitment to the role and its responsibilities.

✨Tip Number 2

Brush up on your SQL and Python skills, especially in relation to data manipulation and analysis. Being able to discuss specific projects or examples where you've used these skills will set you apart from other candidates.

✨Tip Number 3

Research the company’s current data strategy and any recent initiatives they’ve undertaken. This knowledge will allow you to engage in meaningful conversations during interviews and show that you're genuinely interested in contributing to their goals.

✨Tip Number 4

Network with professionals in the data analytics field, particularly those who have experience with Snowflake or similar cloud technologies. Building connections can provide valuable insights and potentially lead to referrals for the position.

We think you need these skills to ace Data Analyst

Data Analysis
SQL
Python
Master Data Management (MDM)
Data Quality
Data Governance
GDPR Compliance
Cloud Technologies
iPaaS Technologies
Data Manipulation
Communication Skills
Technical Skills
Analytical Skills
Proposal Writing
Data-Driven Insights

Some tips for your application 🫡

Understand the Role: Read the job description carefully to grasp the key responsibilities and requirements. Tailor your application to highlight how your skills and experiences align with the role of a Data Analyst.

Highlight Relevant Skills: Emphasise your proficiency in SQL, Python, and any experience with Snowflake. Provide specific examples of how you've used these skills in previous roles to analyse and manipulate large datasets.

Showcase Your Passion for Data: In your cover letter or personal statement, express your enthusiasm for data and its potential to drive business outcomes. Share any relevant projects or experiences that demonstrate your commitment to data management and analytics.

Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.

How to prepare for a job interview at Tenth Revolution Group

✨Show Your Passion for Data

Make sure to express your enthusiasm for data and its potential to drive business outcomes. Share specific examples of how you've used data to influence decisions or improve processes in previous roles.

✨Demonstrate Technical Skills

Be prepared to discuss your experience with SQL and Python, especially in relation to large datasets. If you have experience with Snowflake, highlight it as a bonus, but ensure you can articulate your understanding of data management concepts.

✨Understand the Role of Data Governance

Familiarise yourself with Master Data Management (MDM), Data Quality, and Data Governance principles. Be ready to discuss how you would establish and lead data management practices within the organisation.

✨Prepare for Scenario-Based Questions

Anticipate questions that may require you to analyse a dataset or propose a data-driven solution. Practise articulating your thought process clearly and logically, as this will demonstrate your analytical skills and problem-solving abilities.

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