Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will optimize sales processes by analyzing and developing Power BI dashboards, define KPIs, and support sales teams with data-driven insights and recommendations.
Job Technologies
Your role in the team
- You act as a central interface between sales processes and performance measurement, sales data, and technical requirements.
- You work in our Sales Data Hub and optimize sales processes, performance tracking, and commercial decision-making.
- You will take a leading role in the development and enhancement of Power BI dashboards for sales KPIs, pipeline health, forecasting, and campaign performance.
- You define sales KPIs and performance metrics and continuously develop them to ensure relevance, clarity, and usability by the sales teams.
- You empower sales teams through training and support around dashboards, KPIs, and analytics tools, thereby increasing acceptance and impact.
- You analyze funnel performance and pipeline data to identify bottlenecks, risks, and growth opportunities.
- You support the implementation of data-driven sales and revenue campaigns — from segmentation and targeting to performance tracking and optimization.
- You derive concrete action recommendations from analyses and support Sales Leaders in prioritizing measures.
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Our expectations of you
Education
- You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.
- You have completed a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.
Qualifications
- You possess a solid understanding of sales processes, pipeline management, forecasting, and revenue metrics, and translate these into technical requirements for engineers.
- You are an excellent stakeholder manager and communicate confidently with both sales and engineering.
- You work confidently with CRM data and sales systems (e.g., Salesforce, HubSpot, Dynamics, or comparable systems).
- You possess a strong analytical mindset and enjoy translating complex data into clear stories and actionable recommendations.
- You think beyond pure reporting and proactively identify potential improvements in sales performance and efficiency.
- You work in an implementation-oriented manner and enjoy collaborating closely with sales teams to translate insights into measurable results.
- You communicate clearly and effectively, successfully bridging the gap between business and tech.
- You have very good spoken and written skills in German and English.
Experience
- You have experience in Revenue Operations, Sales Operations, Sales Analytics, or a comparable commercial analytics role.
- You have very good knowledge of Power BI and experience in building dashboards that trigger specific actions.
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What we offer
- This position can be filled on a full-time basis or in near-full-time part-time (at least 30 hours/week; excluding working students and explicitly advertised part-time positions).
- DKV Mobility is looking for the best talents and knows that they are not always available on a full-time basis.
- Many of our employees work part-time or in flexible working models.
- Please discuss with us during the application process the flexibility you require.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Food & Drink
Topics that you deal with on the job
This is your employer
DKV Euro Service GmbH + Co KG
As a leading European mobility service provider, we devote ourselves to efficient mobility solutions for controlling commercial fleets. Our portfolio includes smart products and services around refueling, alternative propulsion options, toll handling, liquidity benefits and innovative connected services.
Description
- Founding year
- 1934
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation
Data Analyst Sales
- Location
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
