stable employment - employment based on a permanent employment contract.
hybrid model - enjoy flexibility with 3 days remote work and 2 days in the office (hybrid work model after a 3-month onboarding period).
attractive financials - competitive salary, plus a performance-based semi-annual bonus.
real growth potential - dynamic career development and vast opportunities within our newly established company structures.
- additional day off - „day on u” - an extra day off for you to take care of your health and do preventive examinations.
- co-financing for training & studies - support for your professional development through co-financing of studies, courses, and workshops (after 1 year of working)
- lunch vouchers - a regular salary supplement in the form of lunch vouchers
- life insurance - protection for you, with the option to extend coverage to your spouse and adult children
- private medical care - access to wide-range medical packages, with costs partially covered by the employer
- Multisport card - access to sports facilities for you and your loved ones (spouses, children, or partners)
- Mybenefit cafeteria system - employer-funded points on a platform that you can exchange for attractions, vouchers, or training
- tire discounts - preferential terms for purchasing car, motorcycle, or bicycle tires after one year of work
- jubilee awards - special recognition for your seniority after 5, 10, 15, and 20 years of service
...and that’s not all! We have many more exciting perks and surprises waiting for you to discover!
your tasksYou will act as a key driver of digital transformation in customer service operations by unlocking the power of data and converting raw information into actionable insights. You will define and execute analytics and BI strategies, build scalable dashboards, monitor KPIs, and identify opportunities for process optimization and innovation. You will collaborate with cross-functional teams to promote a data-driven culture and deliver solutions that improve customer experience, operational efficiency, and ROI.
Responsibilities:
- defining and executing the customer service analytics and BI strategy aligned with the digital transformation roadmap;
- championing a data-driven culture across LSCM CoE and customer service teams;
- translating complex data into actionable insights that improve customer experience, operational efficiency, and ROI;
- supporting strategic initiatives by identifying trends, risks, and opportunities through advanced data analysis;
- leading the adoption and optimization of BI tools such as Power BI and SAP Analytics Cloud;
- managing data sourcing, aggregation, and integration from systems including SAP SD/MM, CRM, and ticketing platforms;
- driving automation and self-service analytics capabilities to empower business users and reduce manual reporting;
- collaborating with customer service, logistics, and commercial teams to define analytical needs and deliver impactful solutions;
- developing and maintaining strong relationships with stakeholders to ensure alignment on KPIs and reporting standards;
- presenting insights in a clear and compelling format to influence decision-making;
- implementing data governance policies to ensure accuracy, security, and compliance with regulations;
- ensuring ethical use of data and adherence to privacy standards such as GDPR;
- promoting a culture of innovation, curiosity, and continuous learning within the analytics community;
- acting as a change leader advocating for digital transformation and process automation;
- mentoring colleagues and fostering cross-functional collaboration;
- delivering solutions that improve productivity, reduce costs, and enhance customer experience.
- bachelor’s or master’s degree in Business, IT, Data Analytics, or related field;
- proven expertise in Business Intelligence and data analytics;
- hands-on experience with Power BI, SAP Analytics Cloud, and SQL-based platforms;
- experience in building dashboards, reports, and performance monitoring tools for customer service operations;
- strong project management experience in Agile or Scrum environments;
- knowledge of BI principles including data sourcing, aggregation, modeling, visualization, and storytelling;
- deep understanding of data architecture, governance, and integration across SAP SD/MM, CRM, and ticketing platforms;
- advanced analytical skills including statistical analysis and trend forecasting;
- familiarity with automation tools and self-service analytics platforms;
- languages Skills: English C1;
- excellent communication and stakeholder engagement skills;
- ability to present complex data in a clear and compelling way;
- strong organizational and problem-solving skills;
- proactive and collaborative mindset;
- ability to inspire and mentor others.
Employment agency entry number 47
this job offer is intended for people over 18 years of age
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