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About the Role
Polaroid is seeking a hands-on analytics leader with deep analytical expertise and team leadership skills. This role involves driving high-impact analyses, leading a team of data analysts and data engineers, and transforming complex data into actionable insights to influence strategic and operational decisions. The ideal candidate will be comfortable with change, bring structure and analytical rigor, and influence the company's business through data.
Responsibilities
- Lead and contribute to high-impact analytics projects hands-on, from framing business questions and defining methodologies to performing analysis and presenting recommendations.
- Partner closely with cross-functional teams to identify strategic opportunities and provide data-driven recommendations.
- Translate broad and complex business challenges into analytical approaches, identifying opportunities, risks and drivers of performance through data.
- Establish and maintain high standards for analytical rigor, insight generation, visualisation and storytelling.
- Own the Data analytics roadmap, balancing commercial and strategic business questions with recurring reporting and ad-hoc business questions.
- Lead, coach and develop a small team of data analysts and data engineers, setting priorities, ensuring high-quality delivery and fostering a culture of curiosity, ownership and continuous improvement.
- Develop, maintain and continuously improve analytical frameworks, models, dashboards and reporting solutions that enable data-informed decision making across the organisation.
- Work closely with engineering on reliable data models, pipelines and scalable solutions.
- Be an ambassador of Polaroid’s data-driven culture.
Requirements
- Strong hands-on analytical experience with the ability to independently conduct complex analyses and translate findings into business recommendations.
- Excellent stakeholder management, communication and storytelling skills, including confidence working with senior leadership and non-technical audiences.
- Proactive, curious and comfortable operating with ownership in a lean, fast-moving environment.
- Experience coaching analytical and technical talent while remaining actively involved in analytical delivery.
- Strong communicator who can convincingly present results to non-technical audiences.
- Solid grounding in applied statistics, such as hypothesis testing, regression analysis, time-series analysis, and other inferential techniques.
- Very good skills in SQL and Python, strong experience with BI tools, with preference for Power BI.
Skills
- SQL
- Python
- Power BI
- Data analysis
- Team leadership
- Stakeholder management
- Communication
- Storytelling
- Applied statistics
- Hypothesis testing
- Regression analysis
- Time-series analysis
About the Company
- Polaroid was founded in 1937 by Edwin Land. The company aims to preserve and reinvent analogue photography for a new generation. At Polaroid, they create products and experiences that spark emotion, fuel creativity, and bring people closer together, believing in the power of analogue moments and genuine human connection in an increasingly digital world.
- Polaroid believes technology can help move forward, while human creativity, craft, judgment, and real-world connection matter more than ever. They embrace technology to create meaningful human experiences and explore new tools, including AI, with curiosity and care.
Equal Opportunity
- Polaroid may use artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications. These AI/ML tools assess applications against the characteristics and qualifications relevant to the job requisition.
- These tools are designed to help identify potentially qualified candidates, but they do not make automated hiring decisions. The AI/ML-generated assessments are one of several factors considered in the hiring process. Our human recruiters thoroughly evaluate your skills and qualifications to determine your suitability for the role.
- If you prefer not to have your application assessed using AI/ML features, you may opt out by contacting us at privacy@polaroid.com or by following the instructions provided during the application process. Opting out will not negatively impact your application, which will be reviewed manually by our team.
- Find out more about our applicant privacy policy here: https://www.polaroid.com/careers-job-applicant-privacy-policy