Data Warehouse Analyst

Job description

With a recently announced funding round from Insight Partners and an impressive yearly revenue growth, Lansweeper is rapidly expanding itsGlobal teams. We now need a Data Warehouse Analyst to help in our growth journey!

Lansweeperis an IT asset management software helping businesses better understand, manage and protect their IT devices and network. We currently discover and monitor around 100 million connected devices from 25,000+ customers, including Mercedes, FC Barcelona, Michelin, Sony, Carlsberg, Nestlé, IBM, Maersk and Samsung to governments, banks, NGOs, and universities, driven by its 150+ strong teams in Belgium, Spain, Italy, Ireland, UK and the USA.

Over 90% of our customers renew their subscriptions every year and we onboard 250 new customers every month. Our high-performance/high-reward culture emphasizes improvement and progress. Under the "work hard, play hard" motto we want employees to grow professionally through ongoing learning and taking on new challenges. Discover more about Lansweeper impressive growth on this video.


A day in the life of:

  • Work as part of the growing team delivering a data-driven organization.
  • Understand the business value of the solution to participate in technology-functional discussions actively. Present point of view, recommendations, and evaluations of the technology platforms and solutions that fit the clients' needs.
  • Actively represent best practices for data architecture and business and collaborate with the data architect to design data analytics and business warehouse solution.
  • Define a common enterprise data analytics solution reference architecture to be implemented, leading the enablement of technical staff on selected technologies and design patterns. 
  • Support efforts to ensure the data standards are developed and maintained.
  • Perform quality assurance checks to ensure the results you provide are accurate and appropriate to the needs of the solution.

Job requirements

Are you the new Data Warehouse Analyst at Lansweeper?

I am someone who:

  • Has an analytical mindset.
  • Is dynamic, committed, hands-on and passionate.
  • Communicates fluently
  • Is open minded, eager to learn and embraces change.
  • Is a team player willing to go the extra mile.
  • Works independently with business stakeholders providing solutions and regular updates.
  • Has experience in working in Agile teams.

I have:

  • Experience in data analytics, data warehouse, and business intelligence solution development
  • Experience in Cloud DW/BI/Reporting and related technologies and tools.
  • Experience in SQL, Excel, Power BI, and other visualization tools.
  • Experiences with the design, development, and operations management for on-premise, cloud, SaaS-based data warehousing and analytics solutions such as Microsoft Azure (must have), AWS and Snowflake.
  • Sound knowledge of advanced enterprise data warehousing methodologies and concepts, including master and reference data management, data architecture, data modeling, business intelligence, and advanced analytics.
  • Experience with ETL tools such Azure Data factory and AWS Data pipelines .
  • Skilled knowledge and experience with Cloud-based projects in DevOps infrastructure such as JIRA. 
  • Conceptual understanding of data warehouse systems and processes and understanding and preferable experience in multi-dimensional data needs.
  • Experience with Power BI, and Tableau, etc., to create reports, visualizations, and interactive dashboards.

Our offer you can’t refuse

  • Growing along with a fast-growing scale-up
  • Variation, challenges and responsibility
  • Easy-going teamwork
  • Internal and external training
  • Competitive compensation package
  • Healthcare plan with medical, dental, and vision coverage
  • 401K retirement plan

US: Diversity Statement – Equal Employment Opportunity

It is Lansweeper’s policy to provide equal employment opportunity to all applicants and employees. Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.