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- Tasks: Transform complex data into actionable insights and create interactive dashboards.
- Company: Join ZEISS Vision Care UK, a leader in optics with a rich heritage since 1846.
- Benefits: Enjoy a competitive salary, 10% pension contribution, bonus scheme, and free lenses.
- Why this job: Be part of a growing team that drives strategic decisions and impacts the optical industry.
- Qualifications: Degree in Data Science or related field with 3+ years of relevant experience required.
- Other info: Diversity is valued; all applications are welcome regardless of background.
The predicted salary is between 36000 - 60000 £ per year.
Direct message the job poster from ZEISS Group
Global Talent Attraction Partner @ ZEISS Group
Job Title: Business Analytics Specialist
Location: Birmingham City Centre – 3 days per week on site
COMPANY OVERVIEW
We’re ZEISS Vision Care UK, based in Birmingham; an exciting place to work, where individuals make a real difference every day. As part of the ZEISS group, we are an international leader in the field of optics, with over 34,000 employees across 50 countries around the globe.
We are proud of our heritage and have been at the forefront of scientific discovery and innovation since our creation in 1846. We are a foundation; this means we reinvest 12% of our revenue to fund research and education, supporting progress within the optical industry and across the community.
We are more successful today than we have ever been, having celebrated double digit growth for the past ten years. We‘re not stopping here because we are focused on accelerating our growth even further, aiming to double our revenue by 2025. If you want to be part of making this difference, then ZEISS Vision Care UK is the right place for you!
OUR BENEFITS
- Salary benchmarked against the 400 biggest companies in the UK
- 10% Employer pension contribution (providing a 4 % employee contribution)
- Bonus Scheme
- Free ZEISS lenses for you and discounted ZEISS lenses for your friends and family
Job Summary: We are looking for a skilled Data Analyst to transform complex data into actionable insights that will drive strategic business decisions. This role involves the professionalization of data access, creating interactive dashboards, and providing in-depth statistical analysis using advanced techniques and machine learning algorithms. You will collaborate closely with business functions to develop analytical solutions, present findings to senior stakeholders, and help identify opportunities for growth and efficiency.
Key Responsibilities:
- Develop and deliver interactive dashboards, reports, and presentations to communicate complex data insights.
- Use advanced statistical techniques (e.g., regression analysis, time series analysis, decision trees) and machine learning algorithms to analyze data and support business initiatives.
- Design and analyze predictive models to forecast trends and behaviors.
- Identify actionable insights to inform strategic decision-making and uncover risks and opportunities.
- Partner with business teams to understand their data needs and provide tailored reporting solutions.
- Translate business objectives into data-driven insights and recommendations.
- Regularly mine data to identify trends, and proactively offer actionable insights for business units and senior leadership.
- Monitor and report on the impact of data-driven initiatives to ensure value creation.
- Continuously review data processes to improve best practices and enhance efficiency.
Key Requirements:
- Proven academics: Degree qualified or equivalent in Computer Science/Data Science/Information Science or related field
- At least 3 years relevant experience (descriptive analytics, statistical analysis, modelling segmentation, financial analytics, and data mining using large databases)
- Experience in data modelling and data storage systems, as well as knowledge of modern data warehouse technologies and approaches
- Experience of statistical methods and techniques such as predictive modelling, segmentation, and regression
- High proficiency in data visualization and analytical tools (Power BI, Tableau or equivalent)
- High proficiency in developing analysis and reporting from SAP data/Business Warehouse/Business Objects
- Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings to effectively add value to an organization
- Ability to identify patterns, correlations, and trends from data that can provide insights into business operations, customer behavior, or market dynamics
- Proven leadership of business intelligence and analytic initiatives in a fast-paced, multiple-project environment
- Self-motivated and able to work autonomously whilst at the same time understanding the importance and contribution to the wider team.
- Structured, analytical with a problem-solving approach and high attention to detail
- Ability to collaborate and excel in complex, cross-functional teams
Apply now to take the next step in joining team ZEISS, where you can push technological boundaries, shape markets, and contribute to the advancement of society.
_______________________________________________________________________________
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age or sexual orientation and identity.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Machinery Manufacturing
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Data Analytics Business Partner employer: ZEISS Group
Contact Detail:
ZEISS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Business Partner
✨Tip Number 1
Familiarize yourself with ZEISS Vision Care's products and services. Understanding their offerings will help you tailor your insights and recommendations to align with their business goals.
✨Tip Number 2
Brush up on your data visualization skills, especially in tools like Power BI or Tableau. Being able to create compelling dashboards will be crucial for effectively communicating your findings to stakeholders.
✨Tip Number 3
Network with current employees or alumni who work at ZEISS. They can provide valuable insights into the company culture and expectations, which can help you stand out during the interview process.
✨Tip Number 4
Prepare to discuss specific examples of how you've used advanced statistical techniques in past roles. Highlighting your experience with predictive modeling and data analysis will demonstrate your fit for the position.
We think you need these skills to ace Data Analytics Business Partner
Some tips for your application 🫡
Understand the Company: Familiarize yourself with ZEISS Vision Care UK and its role in the optics industry. Highlight your understanding of their mission and values in your application.
Tailor Your CV: Customize your CV to emphasize relevant experience in data analytics, statistical analysis, and data visualization tools like Power BI or Tableau. Make sure to showcase your ability to transform complex data into actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job responsibilities. Mention specific projects where you used advanced statistical techniques or machine learning algorithms to drive business decisions.
Highlight Collaboration Skills: Since the role involves partnering with business teams, emphasize your experience working in cross-functional teams. Provide examples of how you've successfully communicated complex data insights to stakeholders.
How to prepare for a job interview at ZEISS Group
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used advanced statistical techniques and machine learning algorithms in your previous roles. Be ready to explain the impact of your analyses on business decisions.
✨Demonstrate Data Visualization Proficiency
Familiarize yourself with tools like Power BI or Tableau, and be prepared to discuss how you've created interactive dashboards or reports. Consider bringing a portfolio of your work to showcase your data visualization skills.
✨Understand the Business Context
Research ZEISS Vision Care UK and understand their business model and objectives. Be ready to discuss how your analytical insights can align with their goals, especially in terms of growth and efficiency.
✨Communicate Clearly and Effectively
Practice explaining complex data insights in simple terms. During the interview, focus on your ability to synthesize information and communicate it effectively to stakeholders with varying levels of technical understanding.
