Remote Data Analytics Principal (m/f/d) - Hamburg

Description:

• The position is for a Data Analytics Principal in Core-Technology at FREE NOW, with flexible location options in Germany, Poland, Greece, Portugal, or Spain.
• The role involves providing data craft and cross-functional project leadership focused on Data Analytics.
• Responsibilities include defining standards and guidelines to ensure high quality and sustainability of deliverables across all DATA domains.
• The candidate will work closely with Data leadership to conceptualize and implement infrastructures, processes, and models for understanding data in various market environments.
• The role requires leading data projects and initiatives that reach across the entire company.
• The candidate will anticipate bottlenecks, manage escalations, and balance business needs with scientific and technical constraints.
• The position includes owning a product end-to-end, monitoring application health, performance, and business impact, and setting KPIs.
• Mentoring and developing data analysts and guiding teams through complex scenarios are also key responsibilities.

Requirements:

• A Bachelor, Master degree, or PhD in fields such as Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Psychology, or Economics is required.
• At least 8 years of experience in areas such as Data Analytics, Data Science, Data Engineering, Experimentation/Statistics, or Machine Learning Engineering is necessary.
• The candidate must have a strong holistic view of implementing data products across all data functions and possess strong stakeholder management and storytelling skills.
• Advanced knowledge and a proven track record in implementing products and projects while challenging the status quo are essential.
• A strong understanding of the mobility industry and the ability to lead innovation through data asset utilization is required.
• The candidate should be able to break down complex projects into manageable hypotheses and deliver features successfully and timely.
• Strong communication skills to deliver clear information to various stakeholders are necessary.
• The candidate must be innovative, possess strong problem-solving skills, and have a solution-oriented, agile mindset.
• A hands-on mentality, accountability, and ownership are crucial, along with a collaborative approach and good negotiation skills.
• Flexibility to adapt to changing business needs and a willingness to learn and receive feedback are important.

Hard skills:

• Expert knowledge of SQL, Python, R, or similar technologies for developing Data Analytics projects is required.
• Expertise in domains such as Advanced/Predictive Analytics, Automation, or Geospatial Analytics is necessary.
• Subject Matter Expertise in at least one domain (Marketing, Product Domains, Operations, Finance) is required.
• Proficiency in multiple Data Analytics facets, including insights generation, statistical analysis, data wrangling, and data visualization, is essential.
• The candidate should embody best practices for Data Analytics and be eager to learn new languages, frameworks, tools, and methodologies.

Benefits:

• The position offers flexible working arrangements.
• Employees have access to LinkedIn Learning for professional development.
• There are sabbatical and special leave policies available.
• A partnership with WeRoad is included for travel opportunities.
• Employees receive time off on their birthday and on December 24th and 31st.
• A short-term EU work policy is in place for employees.
• Mobility Credit is provided to support transportation needs.
• Health Insurance is included as part of the benefits package.
• An employee assistance program is available for additional support.