Data Anaylst Manager

Data Anaylst Manager

Milton Keynes Full-Time 24000 - 33600 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to analyse data and drive business growth through insights.
  • Company: Join a leading FMCG client in Milton Keynes, known for innovation.
  • Benefits: Enjoy a competitive salary, professional development, and a collaborative culture.
  • Why this job: Make an impact by transforming data into actionable strategies while mentoring others.
  • Qualifications: Experience in data analytics and team management is essential; Power BI skills preferred.
  • Other info: Flexible working hours from 9am-5pm with opportunities for career advancement.

The predicted salary is between 24000 - 33600 £ per year.

Job Description

Data Analyst Manager – Milton Keynes\\n\\nPertemps is currently recruiting for an experienced Data Analyst Manager for our FMCG client based in Milton Keynes.\\n\\nAs a data analyst your role will include collecting leaning, and analyzing data from various sources to extract meaningful insights and trends that support informed business decisions.\\n\\nHours: 9am-5pm\\n\\nSalary: £30,000 – £40,000 (DOE)\\n\\nDuties:\\n\\n• Lead and mentor a team of data analysts, providing guidance, support, and professional development opportunities. Foster a collaborative and high-performing team culture\\n• Develop and implement data analytics strategies to uncover actionable insights and drive business growth.\\n• Collaborate with stakeholders to understand their requirements and provide data-driven solutions.\\n• Engage with clients to understand their needs, deliver insights, and maintain strong relationships.\\n• Establish governance frameworks to ensure data quality, integrity, and compliance with regulatory standards\\n• Implement processes for data validation, cleansing, and transformation. Identify and mitigate risks related to data security, privacy, and misuse\\n• Promote a culture of innovation and continuous improvement in data processes, tools, and team capabilities\\n\\nRequirements:\\nProven experience in a Data Analytics, BI or Insights role at a senior level\\nExperience managing a team of data professionals.\\nStrong proficiency with Data Analytics tools and technologies – particularly Power BI\\nGood understanding of statistical analysis, machine learning, or predictive modelling techniques\\nStrong analytical and problem-solving abilities.\\nExcellent communication and presentation skills\\nIf you would be interested, please apply or call Corinne at Pertemps

Data Anaylst Manager employer: Pertemps Aylesbury

At Pertemps, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Milton Keynes that fosters collaboration and innovation. As a Data Analyst Manager, you will not only lead a talented team but also benefit from professional development opportunities and a supportive culture that values your contributions. With competitive salaries and a commitment to employee growth, Pertemps is the ideal place for those seeking meaningful and rewarding careers in data analytics.
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Contact Detail:

Pertemps Aylesbury Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Anaylst Manager

✨Tip Number 1

Familiarise yourself with the latest trends in data analytics, especially focusing on tools like Power BI. Being able to discuss recent updates or features during your interview can demonstrate your passion and expertise in the field.

✨Tip Number 2

Prepare examples of how you've successfully led a team in the past. Highlight specific instances where your leadership directly contributed to improved data insights or team performance, as this will resonate well with the hiring managers.

✨Tip Number 3

Research the company’s current data strategies and any recent projects they’ve undertaken. This knowledge will allow you to tailor your responses and show how you can contribute to their goals effectively.

✨Tip Number 4

Practice articulating complex data concepts in simple terms. As a Data Analyst Manager, you'll need to communicate insights to stakeholders who may not have a technical background, so showcasing your communication skills is key.

We think you need these skills to ace Data Anaylst Manager

Leadership Skills
Team Management
Data Analytics Tools (Power BI)
Statistical Analysis
Machine Learning
Predictive Modelling
Data Governance
Data Quality Assurance
Data Validation and Cleansing
Risk Management
Communication Skills
Presentation Skills
Problem-Solving Skills
Stakeholder Engagement
Continuous Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and team management. Emphasise your proficiency with tools like Power BI and any experience with statistical analysis or machine learning.

Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership skills and your ability to mentor a team. Mention specific examples of how you've driven business growth through data insights in previous roles.

Highlight Relevant Skills: In your application, clearly outline your analytical and problem-solving abilities. Include any certifications or training related to data analytics tools and techniques that are relevant to the role.

Showcase Communication Skills: Since excellent communication is key for this role, provide examples of how you've effectively collaborated with stakeholders or clients in the past. This could be in your CV or cover letter.

How to prepare for a job interview at Pertemps Aylesbury

✨Showcase Your Leadership Skills

As a Data Analyst Manager, you'll be leading a team. Be prepared to discuss your previous experience in managing teams, mentoring others, and fostering a collaborative environment. Share specific examples of how you've successfully guided your team towards achieving goals.

✨Demonstrate Technical Proficiency

Make sure to highlight your expertise with data analytics tools, especially Power BI. Be ready to discuss specific projects where you utilised these tools to derive insights. This will show that you not only understand the theory but can also apply it practically.

✨Prepare for Stakeholder Engagement Scenarios

Since the role involves collaborating with stakeholders, think of instances where you've effectively communicated complex data insights to non-technical audiences. Practise explaining your thought process and how you tailored your communication to meet their needs.

✨Emphasise Continuous Improvement

The job description mentions promoting a culture of innovation. Be ready to discuss how you've implemented new processes or tools in your previous roles. Highlight any initiatives you've taken to improve data quality or team capabilities, as this aligns with the company's goals.

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