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For Companies At a Glance
- Tasks: Lead a team to develop data strategies and create insightful reports.
- Company: Join a global leader in industrial innovation, committed to data-driven success.
- Benefits: Enjoy a competitive salary, pension scheme, and fully remote work options.
- Why this job: Make an impact in a forward-thinking environment while growing your career.
- Qualifications: Strong background in data analysis, with relevant degree and skills in modern data platforms.
- Other info: Ideal for those passionate about data and eager to drive change.
The predicted salary is between 60000 - 80000 £ per year.
- Opportunity to Lead Data & Analytics Strategy
- Opportunity to work with a Global Organisation
About Our Client
This opportunity is with a well-established, Global Plc operating within the industrial and manufacturing sector. The company is known for its innovative products and is committed to leveraging data to maintain its competitive edge in the market.
Job Description
- Lead a small but expanding team of Data Engineers, BI Developers and Data Governance specialists
- Develop and implement data strategies to support business objectives.
- Oversee the collection, analysis, and interpretation of key business data.
- Create detailed reports and dashboards to inform decision-making processes.
- Collaborate with cross-functional teams to ensure data accuracy and consistency.
- Identify trends, patterns, and insights to recommend actionable solutions.
- Manage and optimise data storage, security, and accessibility protocols.
- Provide training and support to teams on data tools and analytics.
- Stay updated on industry trends and emerging technologies in data analytics.
The Successful Applicant
A successful Data and Insights Manager should have:
- A strong background in data analysis and management within the industrial or manufacturing industry.
- Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc
- Proficiency in data visualisation tools and software.
- Experience with database management and analytics platforms.
- Excellent problem-solving and organisational skills.
- A degree in a relevant field such as Data Science, Business Analytics, or similar.
- Ability to communicate complex data insights to non-technical stakeholders.
What\’s on Offer
- A competitive salary of approximately £60000 – £80000 per annum.
- Comprehensive pension scheme and benefits
- Permanent position offering stability and career growth.
- An opportunity to work fully remotely within a supportive company culture.
- Engagement in a forward-thinking industrial and manufacturing environment.
If you are passionate about data and analytics and are ready to make an impact, we encourage you to apply for this Data and Insights Manager position. #J-18808-Ljbffr
Senior Business Intelligence & Data Analytics Manager employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Intelligence & Data Analytics Manager
✨Tip Number 1
Network with professionals in the industrial and manufacturing sectors. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in data analytics.
✨Tip Number 2
Familiarise yourself with the specific data tools mentioned in the job description, such as Azure, Power BI, and Databricks. Consider taking online courses or certifications to enhance your skills and demonstrate your expertise.
✨Tip Number 3
Prepare to discuss your experience in leading teams and managing data strategies during interviews. Think of specific examples where you successfully implemented data solutions that drove business results.
✨Tip Number 4
Stay updated on emerging technologies in data analytics by following relevant blogs, podcasts, and thought leaders in the field. This knowledge will help you engage in meaningful conversations during interviews and showcase your passion for the industry.
We think you need these skills to ace Senior Business Intelligence & Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and management, particularly within the industrial or manufacturing sector. Emphasise your proficiency with modern data platforms like Azure, Power BI, and SQL.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Discuss how your background aligns with the company's goals and how you can contribute to their data strategies and decision-making processes.
Showcase Relevant Skills: Clearly outline your skills in data visualisation tools and database management. Provide examples of how you've used these skills to solve problems or improve processes in previous roles.
Prepare for Potential Questions: Anticipate questions related to your experience with data governance and team management. Be ready to discuss how you would lead a team and collaborate with cross-functional teams to ensure data accuracy and consistency.
How to prepare for a job interview at Michael Page (UK)
✨Showcase Your Technical Skills
Make sure to highlight your experience with modern data platforms like Azure, Power BI, and SQL. Be prepared to discuss specific projects where you utilised these tools to drive business insights.
✨Demonstrate Leadership Experience
As a Senior Business Intelligence & Data Analytics Manager, you'll be leading a team. Share examples of how you've successfully managed teams in the past, focusing on your approach to mentoring and developing talent.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would handle real-world scenarios related to data collection, analysis, and reporting, showcasing your analytical thinking.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to convey complex data insights to non-technical teams, practice explaining technical concepts in simple terms. This will demonstrate your ability to bridge the gap between data and business objectives.