Data Analyst Intern supporting various projects in the Transportation/Supply Chain organization at CHS. Collaborating with business and IT professionals in a hybrid work environment.
About the role
- Data & Analytics Manager leading BI strategy at Shiftmove. Overseeing Tableau platform and driving analytics initiatives for B2B customers across Europe.
Responsibilities
- BI Ownership & Tableau Leadership: Own Tableau (Desktop, Prep, Server/Cloud): build, optimize, and govern dashboards; establish best practices; ensure performance and scalability
- Drive Tableau Adoption: Enable trust and reliance on reporting across GTM teams, from executives to front-line managers
- Analytics & Data Science: Own GTM analytics (funnel, pipeline, churn/retention, LTV/CAC) and apply techniques such as predictive modeling, cohort analysis, segmentation, and forecasting
- Insights & Storytelling: Run deep-dives into performance trends, identify leading vs. lagging indicators, and translate findings into clear business stories and recommendations for leadership
- Data Infrastructure & Governance: Partner with Data Engineers on pipelines/models across Salesforce, marketing automation, finance, and product usage; ensure data quality and governance with modern data stack
- Strategy & Leadership: Define BI strategy, align KPIs with GTM priorities, mentor analysts, and collaborate cross-functionally to anticipate needs and proactively deliver insights
Requirements
- Analytics expertise: Multiple years of hands-on experience in BI / Data Science / GTM analytics.
- SaaS GTM Metrics Knowledge: Deep knowledge with SaaS go-to-market KPIs across the full customer lifecycle.
- Tableau Expertise: Proven ability to own dashboards end-to-end, including design, optimization, performance, and governance.
- SQL & Data Warehouse Skills: Advanced proficiency in SQL and experience with Snowflake or a comparable data warehouse environment.
- dbt & ETL Tools: Strong understanding of dbt and modern ETL/ELT tools, with experience building and maintaining data models and pipelines.
- Python/R: Ability to use Python or R for analysis, modeling, automation, or advanced statistical workflows.
- Applied Data Science Methods: Experience with predictive modeling, clustering, regression techniques, and time-series forecasting in practical business contexts.
- Communication & Storytelling: Excellent ability to translate complex data insights into clear, compelling stories for executives and non-technical stakeholders.
- Leadership Potential: Demonstrated capacity to lead from the front, drive cross-functional alignment, and inspire confidence in data-driven decisions.
Benefits
- Vacation: 30 days
- Benefits: Urban Sports Club membership, Hrmony subscription, JobRad, or a subsidy for a BVG ticket.
- Health & Wellbeing: 1 mental health day per year and access to the Nilo.health platform.
- Learning & Development: Clear career paths and an annual learning budget of €2,000, among other opportunities.
- Home Office? No problem! We have a beautiful office in the heart of Berlin where we meet twice a week.
- Workation: Up to 12 weeks of remote work from any country or continent you want!
- Autonomy: We want to hire you for your expertise and knowledge, and we’ll give you the space to do your best work.
- Sustainable Growth: We are profitable, generate more than €60M in ARR, and continue to grow — in a highly sustainable way, backed by a leading private-equity firm focused on technology and software.
- Culture: You’ll join a highly collaborative and high-performing team where you can contribute ideas, challenge others, and be challenged yourself.
Job title
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Degree requirement
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