Job Title:Business Analytics Specialist

Location:Birmingham City Centre - 3 days per week on site

Contract:Permanent, Full-Time (37.5hrs per week)

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
• Private Healthcare
• Free ZEISS lenses for you and discounted ZEISS lenses for your friends and family

Job Summary:We are looking for a skilledData Analystto 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 data science and analytics tools/platforms such as SQL, R, Excel, JavaScript, or Python
• 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.

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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.