Business Intelligence & Data Solution Sr Specialist

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Lenovo Solutions & Services Group (SSG) is seeking a Business Intelligence & Analytics Specialist to join the APOS HQ team. Reporting to the APOS HQ Sr. Data Manager, you will help drive the adoption of trusted data, reporting, and self-service analytics across the organization.

This is a high-visibility opportunity to shape our business-managed analytics environment, create meaningful business impact, and work with modern AI-powered tools. You'll gain significant ownership from day one, with opportunities to grow into platform leadership, advanced analytics, automation, or data science roles over time.

We're looking for someone who is proactive, organized, analytical, and passionate about helping businesses make smarter decisions through data.

What You Will Do:

  • Own and enhance the Metabase Business Intelligence platform, ensuring a reliable, user-friendly, and well-governed analytics environment.
  • Manage platform backend operations, including ETL coordination, data processing, permissions, performance tuning, and system monitoring.
  • Design, build, and maintain dashboards, reports, metrics, data models, and visualizations that support business decisions.
  • Organize, curate, and document analytical assets to ensure stakeholders can easily access and leverage trusted insights.
  • Drive user onboarding, training, and support, promoting self-service analytics and increasing platform adoption.
  • Partner with business stakeholders and data owners to identify reporting needs, resolve data gaps, and improve data models.
  • Monitor platform performance, collect user feedback, and recommend enhancements that improve the overall analytics experience.
  • Contribute to the continuous improvement and operational stability of the APOS data ecosystem, enabling trusted, data-driven decision making across the organization.
What You Will Bring: 
  • Strong SQL skills with the ability to query, validate, and analyze data in relational database environments.
  • Experience building and maintaining dashboards, reports, metrics, and other business intelligence assets for end users.
  • Understanding of database administration concepts, including permissions, data structures, performance, and access management.
  • Ability to translate business requirements into scalable, user-friendly reporting and analytics solutions.
  • Experience supporting self-service analytics, data governance, content organization, and stakeholder enablement.
  • Strong analytical, problem-solving, and communication skills, with the ability to work independently and collaborate across teams.
  • Experience in Business Intelligence, Analytics, Reporting, or Data Operations roles; exposure to Metabase, PostgreSQL, or other BI platform administration is a strong advantage.
  • Nice to have: experience with Power BI, Tableau, or Qlik, knowledge of ETL processes or workflow orchestration, and Python skills for data analysis and automation.

What We Offer:

  • Opportunities for career development & growth 
  • Performance based rewards  
  • Hybrid working model (homeoffice/office) 
  • Up to 3 paid Personal Days annually 
  • Additional vacation days 
  • 100% sick leave compensation up to 2 months per year 
  • A broad selection of soft / hard skills trainings and individual mentoring 
  • Employer contribution to the Third Pillar Pension System 
  • Life & life events insurance, fully covered by company  

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.


PAY TRANSPARENCY

The anticipated initial gross base salary range for this position is €26100–38170 per year. This range applies to the primary job location Slovakia and is determined using objective, non-discriminatory and gender-neutral criteria, including skills and relevant experience. Final compensation will be based on relevant experience, skills, and business considerations. 

Individuals may also be eligible for variable compensation (such as bonus or commission), depending on the role. The applicable variable pay model, eligibility, and target levels will be discussed during the recruitment process. 

In addition to base salary and any applicable variable compensation, Lenovo provides statutory remuneration components required by local law, as well as Lenovo's comprehensive benefits package supporting employee well-being, development, and equal opportunities. 

For roles open across multiple countries, local base salary ranges may vary based on market conditions, internal frameworks, and legal requirements. The relevant local range will be transparently communicated during the initial discussions.


AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.