Showpad recrute un(e)

Senior Data Analyst

CDI • France

Cette offre est lié au département Engineering


About Showpad

At Showpad, we empower others to be at their best(e)As a business, that means the Showpad sales enablement platform allows revenue teams to engage buyers through industry-leading training and coaching software as well as innovative sales content and engagement solutions(e)We provide sales and marketing with the software and support they need to enable their teams, drive more revenue and deliver incredible buying experiences. 

Founded in 2011 in Belgium, Showpad is a team of more than 400 people working from our headquarters in Ghent and Chicago or regional offices in London, Munich, San Francisco and Wroclaw.

As an employer who understands the importance of diversity, we are committed to proudly representing the various identities of the communities in which we work and the clients that we serve(e)We have been recognized as a top workplace by Built In Chicago, Built In San Francisco and Inc(e)Magazine,  as a top 10 software company in the Inc(e)5000 Europe list and won the award for “Most Sustainable Growth Company” by Deloitte Belgium.

Please note, that although you can work remotely for Showpad, you must be based in one of the following countries:  Belgium, United Kingdom, Germany, Poland, France or The Netherlands

 

Your responsibilities will include 

  • Supporting the product and engineering teams in delivering user-facing in-product reporting insights across the different product domains(e)This includes production-grade data collection, ETL and reporting visualization in the product (QuickSight).
  • Working closely with product and engineering teams to enable them better to make data-driven decisions.
  • Designing and implementing data-centric reports and visualizations in a BI tool (QuickSight, Looker).
  • Providing custom data analysis requests coming from internal and external customers, on both structured and unstructured data sources.

Experience and Skills Required

  • 3 years of experience preferably working as a Data Analyst in a fast-paced and dynamic business setting.
  • Strong SQL experience, ideally including data warehousing methodologies.
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
  • Ability to collaborate with people across the company.
  • Knowledge of statistics and experience using statistical packages for analyzing datasets.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, providing results of data discrepancy analysis, writing reports and presenting findings.

Preferred: 

  • Developer background with AWS knowledge.
  • Experience with in-product reporting for SaaS products.
  • Experience with QuickSight, Looker or similar visualisation tools, understanding of ETL techniques and AWS will be a strong plus.
  • Application of AI/ML tooling to enhance data crunching (regressions, classification, clusterization, etc).

 

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated(e)We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves(e)Whether that’s paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you. 

 

Showpad’s Commitment

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer(e)All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

 

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