Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Dresden
- Working Model
- Onsite
Job Summary
In this role, you analyze and interpret project metrics, develop reports and dashboards, assist with forecasts, and help make data-driven decisions. You'll actively contribute to optimizing and ensuring the quality of analyses.
Job Technologies
Your role in the team
- In your role as Project & Data Analyst, you are the analytical interface between operational management, project management, and other departments.
- Your focus is on the analysis, preparation, and interpretation of relevant project, performance, and profitability metrics.
- You ensure that our project teams always stay on top of things and can derive the right actions from data.
- In this role, you will continuously develop reports and evaluations and help us manage our customer projects in a data-driven, efficient, and sustainable manner.
- You monitor and analyze project-related key figures such as AHT, service level, availability, productivity, and utilization.
- You recognize correlations, trends, and deviations, and assess their impact on the operational and economic performance of our clients' projects.
- You create regular reports, evaluations, and dashboards, and prepare complex data in an understandable way for project management and operational teams.
- You derive concrete actions from your analyses and support our project managers in data-driven decision-making.
- You contribute to the creation of forecasts and support personnel and capacity planning based on historical data and current customer requirements.
- You review data for completeness and plausibility, identify inconsistencies, and ensure a high quality of our evaluations.
- You challenge existing reports and analysis processes and continuously develop them together with the specialist departments.
- You support cross-departmental projects and actively contribute your analytical perspective to optimize our processes.
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Our expectations of you
Education
- A degree in Business Administration, Business Informatics, Data Analytics, Controlling, or a comparable qualification.
Qualifications
- Pivot tables, complex formulas, and extensive analyses are part of your daily work.
- You enjoy working with large datasets, recognize patterns, and never lose sight of the 'big picture'.
- You can explain complex analyses clearly and confidently present your results to different stakeholders.
- You question existing processes, think proactively, and enjoy developing concrete improvements from insights.
Experience
- Ideally, you already have experience in data analysis, reporting, controlling, or project environments.
- Initial experience in customer service, in a contact center, or in a service company is a plus.
- Experience with Power BI, Tableau, or comparable analytics and visualization tools is ideal.
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What we offer
- For this position, we offer an attractive gross annual salary - depending on your qualifications and initial professional experience.
- Full-time or part-time? You decide.
- We offer modern working time models that fit your life.
- We are a team that sticks together.
- You can feel it in the office and at our legendary events.
- We foster an open culture.
- Applications from people with severe disabilities are explicitly welcome and will be given preferential consideration if equally suitable.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
gevekom GmbH
gevekom GmbH, based in Dresden, is a renowned provider of call and contact center services as well as direct marketing. The company places a strong emphasis on excellent customer service and provides professionals for customer support and consulting. Since its founding in 2006, gevekom GmbH has focused on high revenues and employee appreciation.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Internet, IT, Telecommunication
Project & Data Analyst
- Location
- Dresden
- Working Model
- Onsite
- Diversity
- Open for all genders
