Senior Manager, Data Analytics

O projekcie: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. This role sits within the Device Services organization, in the team responsible for commercial initiatives. As a Senior Full Stack Engineer, you will help build software for a new generation of commercial fitness experiences in heavy-use environments such as gyms, hotels, universities, and residential buildings. You will work across backend services and web applications, with a stronger focus on backend and platform development, and play a key role in shaping operator tooling, guest device experiences, and the systems that support them. This is a hands-on senior individual contributor role for someone who thrives in ambiguity, takes ownership, and wants to influence both technical direction and product outcomes. Salary: - Mid: 20 000 PLN - 23 000 PLN gross on the Contract of Employment- Senior: 25 000 PLN - 30 000 PLN gross on the Contract of Employment What we offer:- 100% paid medical care- Multisport- Creative tax (KUP)- Home office allowance- MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English. Wymagania: Requirements: Technical Expertise - 10+ years of experience in data analytics, BI, data platforms, or related roles.- Advanced hands-on experience with Power BI, including strong proficiency in DAX.- Strong understanding of Microsoft Fabric and modern BI architecture.- Practical knowledge of Google Looker and Amazon Redshift.- Deep understanding of data modelling, ETL processes, data warehousing, and analytics platforms.- Experience with SQL; knowledge of Python, R, or other data analysis tools is a plus.- Familiarity with cloud data platforms such as Azure or AWS. Leadership Experience - 5+ years of experience leading analytics, BI, or data teams.- Proven track record of delivering successful BI and analytics initiatives in complex, data-driven environments.- Experience building, scaling, and mentoring analytics teams.- Ability to set direction, manage priorities, and ensure high-quality delivery across multiple stakeholders. Collaboration & Mindset - Strong business orientation with a focus on delivering measurable value through data.- Excellent communication skills, with the ability to translate technical topics into clear business language.- Strong analytical and problem-solving skills.- Ability to influence senior stakeholders and drive alignment across functions.- Proactive mindset with a focus on quality, ownership, and continuous improvement. Education - Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.- An advanced degree is preferred. Codzienne zadania: - Lead and develop a high-performing team of data analysts, BI developers, and data engineers. - Set clear priorities, standards, and delivery expectations across analytics initiatives. - Mentor team members and foster a culture of ownership, continuous improvement, and business impact. - Drive analytics adoption and improve data literacy across the organization. - Define and execute the analytics roadmap aligned with business goals and strategic priorities. - Own the development of scalable BI solutions using Power BI, Microsoft Fabric, Google Looker, and Redshift. - Drive the creation of dashboards, reports, and analytical models that support executive and operational decision-making. - Evaluate emerging analytics technologies and recommend improvements to the BI ecosystem - Oversee the design and optimization of complex data models, reports, and dashboards. - Ensure strong use of DAX and relevant BI best practices to deliver accurate, efficient, and maintainable analytics solutions. - Guide the integration of data from multiple sources into unified analytics platforms. - Establish standards for data quality, governance, security, and reliability across analytics processes. - Partner with Product, Finance, Marketing, Operations, and leadership teams to understand business needs and translate them into analytics solutions. - Communicate complex data insights clearly to technical and non-technical stakeholders. - Support business teams in making faster, better-informed decisions through actionable reporting and analysis. - Act as a strategic advisor on data usage, performance measurement, and business intelligence capabilities.