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

FREE NOW; Hamburg; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative company is seeking a seasoned Data Analytics leader to drive data initiatives and enhance decision-making through analytics. This role requires a strategic thinker with a strong background in data science, capable of leading cross-functional teams and projects. You will define standards for data quality, mentor junior analysts, and work closely with leadership to implement data infrastructures that support business goals. Join a forward-thinking organization that values diversity and promotes a culture of continuous learning and development, offering flexible working arrangements and a range of employee benefits to support your well-being and career growth.

Leistungen

Flexible working arrangements

LinkedIn Learning access

Sabbatical & special leave policies

Partnership with WeRoad

Off on birthdays and December 24th & 31st

EU short-term work policy

Mobility Credit

Health Insurance

Employee assistance program

Qualifikationen

• Minimum of 8 years' experience in Data Analytics and Data Science.
• Proven track record of implementing data products effectively.
• Strong understanding of the mobility industry and business operations.

Aufgaben

• Lead data projects and initiatives across the company.
• Define standards for high quality and sustainability of deliverables.
• Mentor data analysts and develop expertise in Data Analytics.

Kenntnisse

Data Analytics

Data Science

Data Engineering

Machine Learning Engineering

Stakeholder Management

Problem-Solving

Communication

Ausbildung

Bachelor's in Computer Science

Master's in Engineering

PhD in Statistics

Tools

SQL

Python

R

Jobbeschreibung

YOUR DAILY ADVENTURES WILL INCLUDE :

• 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
• Working closely with Data leadership in the conceptualization and implementation of infrastructures, processes, and models for a deep understanding of data in various market environments, leading to projections of future developments
• Leading data projects & initiatives across the company
• Anticipating bottlenecks, managing escalations, making trade-offs, and balancing business needs with scientific and technical constraints
• Owning a product end-to-end by monitoring application health, performance, and business impact, setting KPIs, and acting when targets are not met
• Mentoring data analysts and developing expertise in Data Analytics
• Guiding teams through complex scenarios

TO BE SUCCESSFUL IN THIS ROLE...

Your profile :

• Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Psychology, Economics, or related fields
• Minimum of 8 years' experience in Data Analytics, Data Science, Data Engineering, Experimentation/Statistics, or Machine Learning Engineering
• Holistic view on data product implementation with strong stakeholder management and storytelling skills
• Proven track record of implementing data products and challenging the status quo
• Strong understanding of the mobility industry and business operations
• Ability to lead innovation and leverage data assets for value creation
• Experience breaking down complex projects into manageable hypotheses and experiments
• Ability to communicate clearly to diverse stakeholders
• Innovative, problem-solving, and solution-oriented mindset with agility
• Hands-on mentality when needed, with accountability and ownership
• Collaborative, skilled in negotiation and relationship building
• Flexible and adaptable to changing needs
• Receptive to feedback, eager to learn, and humble

Hard skills :

• Expertise in SQL, Python, R, or similar technologies for Data Analytics projects
• Experience in domains like Advanced Analytics, Automation, Geospatial Analytics, etc.
• Subject Matter Expertise in domains such as Marketing, Product, Operations, or Finance
• Proficiency in insights generation, statistical analysis, data wrangling, experimentation, visualization, reporting, and storytelling
• Advocate for best practices in Data Analytics to improve quality
• Willingness to learn new languages, frameworks, tools, and methodologies

BENEFITS & PERKS IN A NUTSHELL :

• Flexible working arrangements
• LinkedIn Learning access
• Sabbatical & special leave policies
• Partnership with WeRoad
• Off on birthdays and December 24th & 31st
• EU short-term work policy
• Mobility Credit
• Health Insurance
• Employee assistance program

DIVERSITY, EQUITY & INCLUSION :

FREE NOW is an equal opportunity employer and considers qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability, or age.

We support your growth and development.