Analytics Manager Remote or Hybrid in Constanţa

Kitopi   is the world's leading tech-powered multi-brand restaurant, on a mission to satisfy global appetites. Operating both invested and franchised F&B brands, we serve as enablers in the food market, facilitating brand growth and scalability in delivery, dine-in spaces, and meal plans. As a unicorn startup with global reach and roots in Dubai, our Tech Talent Team is based in Kraków, Poland, and we're celebrating our growth with 100 employees and counting! As a pioneer in the food-tech industry, Kitopi's growth is powered by innovative and scalable software solutions. Our kitchens operate with the proprietary Smart Kitchen Operating System (SKOS), an in-house suite of applications optimizing cloud kitchen operations in real-time. Looking ahead, technological innovation, data science, artificial intelligence, and robotics will be at the forefront as Kitopi continues to revolutionize the food industry. More about Data at Kitopi Joining the Data team at Kitopi means partnering closely with business and product stakeholders to drive data-driven decision-making. Our data organization is structured into verticals focusing on specific business domains, supporting reporting and analytical needs. Each vertical comprises data analysts, data engineers, BI specialists, platform engineers, and ML engineers. Clusters of similar domains are formed, and as an Analytics Manager, you'll lead our operations data cluster, collaborating with cross-functional teams to ensure business success. If you're ready to be part of a dynamic, global team shaping the future of food, join Kitopi and be a key player in our exciting journey! In summary: Enhance observability, monitoring, and alerting for backend and frontend services Collaborate with development teams to implement reliability best practices Work closely with the DevOps team to create tools for secure infrastructure changes Conduct performance testing, including load tests and cloud-related tests like chaos testing Develop automation tools to support SRE best practices What you will be doing? Team Leadership: Lead, manage, and develop a high-performance team, overseeing daily tasks, weekly milestone planning, one-on-one meetings, quarterly objectives, and bi-annual performance evaluations. Strategic Leadership: Demonstrate exceptional strategic thinking, anticipate future trends, drive innovation through data, and provide visionary guidance to shape the organization's analytics roadmap. Data Vision: Support and contribute to the team’s leadership in defining and operationalizing processes and initiatives that align with the data vision. Collaboration: Establish productive professional relationships with business and product partners. Contribute to weekly meetings to align on cluster and vertical priorities and challenges, lead/support updates, and provide guidance on best practices. Communication: Effectively communicate with stakeholders and cross-functional leaders through questions, clarifications, idea pitches, and clear status updates. Facilitate negotiations and problem-solving through effective conversations. Domain Knowledge: Develop a deep understanding of the team's domains, including hands-on experience with data, metrics calculation, data quality issues, business processes, and supporting software products. Project Management: Lead complex, cross-functional and/or cross-domain data projects involving multiple stakeholders and dependencies. Supervise and communicate progress, resolve issues, allocate resources, and mitigate risks. Documentation: Contribute to data documentation, ensuring all projects are documented and updating the knowledge base with relevant information. Analysis and Synthesis: Support data analysts in analysis and synthesis, reviewing their work, and suggesting new ideas. Presentation and Influence: Prepare presentations for stakeholders and leadership, explain technical concepts concisely, and mentor analysts in effective presentation. Use analytical insights to positively influence decision-making. Feedback: Accept and provide objective and constructive feedback, fostering a culture of open communication, growth, and trust within the team. Process Improvement: Continuously identify and improve processes and practices, collaborating with cross-functional teams to implement changes for increased efficiency and productivity. Apply if you have: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Economics, or related field. Minimum of 10 years of experience in analytics and reporting, with at least 4 years of experience in leading a team of analysts and collaborating with senior business leaders. Strong technical skills in data analysis, statistics, data warehousing, aggregation frameworks, and database management. Familiarity with SQL, Python, and DBT is preferred. Expertise in data visualization tools such as Tableau and PowerBI. Excellent project management and organizational skills, including the ability to handle multiple projects, meet deadlines, and collaborate effectively with cross-functional teams. Strong written and verbal communication skills to convey results and insights to stakeholders. Excellent problem-solving and critical-thinking abilities to analyze complex data, develop actionable insights, and make informed decisions. Ability to lead and motivate a team, coach them on multiple fronts, delegate tasks, and manage performance. Commitment to continuous learning and innovation, leveraging industry best practices and latest technologies Experience working in a fast-paced or startup environment, with the ability to adapt to rapidly changing requirements. Deep familiarity with relevant technologies is a plus. At Kitopi, we value alignment with our mission and principles. The successful candidate will share these values and work in accordance with them. We thrive on close collaboration and catching up in person! If you're in Krakow, we'd love for you to join us for a mix of in-office and remote work. Interested in the technologies we use? Data Warehouse / Big Data: Snowflake, ADL, and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBT ML Ops: Amazon SageMaker Platform: AWS Repository: GitHub Analysis: SQL, Python, and Excel Presentation: Power BI, Google Sheets, and Google Slides Documentation: Confluence and DataHub Project and Task Management: Jira Perks & Benefits: ESOP - Employee Stock Option Plan  You choose a form of employment ( 26 paid days off on B2B ) Additional  paid days off for volunteer activities U-Day  - time for medical check-ups, examinations, or diagnosis Top-notch equipment: high-end MacBook Pro + additional accessories Support for your development: 2 000 PLN growth annual budget  available to every employee  internal initiatives: webinars/workshops, knowledge-sharing sessions internal conferences (Kitopi Academy  mentoring program  Freedom Day - time for things you are passionate about  free English classes with a native speaker Worksmile benefit platform (private medical healthcare, Multisport card, vouchers, etc.)  Life insurance  Mental health support  - free access to online sessions with a professional therapist Wellbeing program  - tailored to the needs of our employees including physical & mental health, and socializing activities  Referral bonus   Flextime and Flexplace: adjust your daily schedule to your individual needs Great office with fruit & snacks, rented football pitch, social budget for every team & awaydays, and more! What does the recruitment process look like? Phone screen with a People Team representative (ca. 45 min) Manager's interview (ca.30 min) Case study (ca 60 min) Meeting with our Data Consultant (ca 30 min) Bar Raiser interview (ca. 30 min culture match)