€ 79,000 - 99,000 gross/year
Germany
Data Analysis / Data Science
English
hybrid, flexible
about the company
FREENOW is Europe’s multi-mobility app with taxi offering at its core, available in 9 European markets and over 150 cities. FREENOW users can access various mobility services within a single app, including taxis, PHV, carsharing, car rental, eScooters, eBikes, eMopeds and public transport. FREENOW partners with numerous mobility brands and aggregates their offering with the ambition to make urban mobility more efficient and sustainable without adding new vehicles on the street.
diversity statement
"We have established a cross-functional DE&I taskforce that runs several initiatives and tracks diversity numbers."
your area of responsibility
Providing data craft and cross-functional project leadership with focus on Data Analytics
Defining standards & guidelines to ensure high quality and sustainability of deliverables across all DATA domains
Work closely together with the Data leadership in the conceptualization and implementation of infrastructures, processes and models for a deep understanding of data in a growing variety of market environments leading to the projection of future developments
Leading data projects & initiatives with reach across the entire company
Anticipating bottlenecks, providing escalation management, anticipating and making trade-offs, and balancing business needs versus scientific and technical constraints
Own a product end to end by actively monitoring application health, performance and business impact, set KPIs and act accordingly in case those are not met
Mentoring and helping develop the data analysts as well as the craft in Data Analytics
Guides and supports teams dealing with complex scenarios
your profile
Bachelor, Master degree or PhD in a field such as Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Psychology, Economics, etc.
At least 8 years experience in one of the focus areas for principals (Data Analytics, Data Science, Data Engineering, Experimentation / Statistics or Machine learning Engineering).
Strong holistic view on implementation of data products across all data functions and strong stakeholder management and storytelling skills.
Highly advanced knowledge, expertise and proven track record of implementation of products and projects and constantly challenging the status quo in their principal focus area to further our operations and business.
Strong knowledge and interest in the way our business & the mobility industry operates; big picture thinking.
Lead innovation and define how to create additional value through the utilization of our data assets.
Proven ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications and then deliver features in a successful and timely manner
Able to deliver clear, well-structured and meaningful information to target audience of various stakeholders and knowledge level.
Highly innovative individual with strong problem solving skills and solution-oriented, agile mindset.
Strong hands-on mentality (when needed), a strong sense of accountability & ownership and strong mindset for "nothing is someone else's problem".
Highly collaborative with good negotiation and relationship building-skills.
Flexible and able to pivot quickly based on business needs and changing environment.
Highly receptive for feedback / being challenged, always eager to learn and humble (notion that no one of us is always 100% right).
the benefits
Flexible working arrangements
LinkedIn Learning
Sabbatical & special leave policies
WeRoad partnership
Birthday, 24th + 31st December off
Short term EU work policy
Mobility Credit
Health Insurance
Employee assistance program