Analytics Engineer
Sherpany
Lisbon, PT
há 4 dias

Sherpany was founded in 2011 with a vision of creating a world where every meeting counts. Our team is building a mobile and web based platform that allows effective decision making by digitally transforming meeting management processes.

To date, over 7,000 leaders have improved their meeting productivity thanks to Sherpany. Within the next 5 years we aim to give back over 2 Mio.

hours of extra time to people making decisions thereby enabling them to focus on value-adding work. Our headquarter is located in Zurich and we have offices in Lisbon, Berlin, Milan and Wroclaw.

Who we are looking for :

  • Driven and motivated to be part of a freshly formed analytics team
  • You have an entrepreneurial mindset and are eager to drive / progress Analytics for our business departments
  • You are a self starter and able to shape the analytics function based on relevant industry experience in a similar role and / or environment
  • Good business modelling skills going from a stakeholder’s requirements to an actual data model
  • Expertise in logical Data modelling
  • Expertise in ETL techniques, especially within cloud-based data pipelines
  • Knowledge of data pipeline best practices
  • Detail oriented and excited to learn new skills and tools
  • Fluent in English (spoken, written)
  • What are the duties / responsibilities :

  • Implement reliable new data models and pipelines based on SaaS technology.
  • Design and implement reliable new data models and pipelines based on SaaS technology.
  • Build a data warehouse.
  • Transform data coming from operational systems into a format suitable to perform business intelligence
  • What is your mission in the first 12 months?

    In the first 3 months :

  • You are going to learn and digest the data related needs from Sales and Marketing, Customer Success and Finance
  • Your are going to identify the 10 most important data use-cases for your data product
  • You are going to decide about the SaaS-technology for your data pipeline
  • You are going to define the high level architecture of your data
  • You are going to implement your first data-use-case in your data product
  • 3-6 months :

  • You apply the learnings from the implementation of your first data product on the infrastructure setup & data architecture
  • You iterate over the data-use-cases and continue with their implementation in your data pipeline
  • You work together with the analytics positions in the business units to increase their efficiency and quality of reporting through your data pipeline
  • You have connected the major operational SaaS solutions of the business units (Salesforce, Hubspot, Netsuite, etc.) to your data pipeline and have transformed relevant data to clean a structured format
  • 6-12 months :

  • You continue to iterate over your data product and ensure that it creates value for your stakeholders
  • You broaden your scope on the product team and their needs
  • How you can imagine us :

  • You are part of a company with people working from everywhere in the world, in which you can take lot of responsibility and your ideas are always welcome
  • In order to maintain your work-life balance we offer flexible working hours, home office and / or remote-working
  • Your personal and professional development is important to us which is why we offer financial support for further education, trainings etc.
  • We work with modern Apple products; every employee receives an own MacBook
  • Last but not least : Our corporate culture means a lot to us, which is why we organize regular team events and cultivate a cooperation
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