Senior Analytics Engineer (f/m/d)
at Enpal Dragon GmbH
Berlin, Berlin, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Jan, 2025 | Not Specified | 31 Oct, 2024 | 3 year(s) or above | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Company Description
At Enpal, we are pursuing the dream of building the largest renewable community in Europe. How do we make that happen? Enpal finally simplifies providing solar energy: We rent out solar systems, electricity storage, and wall boxes at an all-inclusive rate, supplemented by a favorable green electricity tariff; all intelligently connected to form an integrated overall solution. True to the motto “digital, decentralized, and 100% renewable”, our heart beats both for the rapid development of a company and for combating the greatest challenge of our generation - climate change.
Job Description
Responsibilities:
- As a Senior Analytics Engineer, you will work closely with the Venture Development, Operations and BI & Data Analytics teams to design, build, and maintain data structures and ensure the best-in-class reporting infrastructure. You will be integrated into an ambitious, dynamic and rapid changing environment which it is expected from you to navigate and bring adequate analytical structure to.
- Own the projects intake process and bring transparency on trade-offs through diplomatic communication. Closely work with the tech and leadership rounds, conduct weekly prioritization meetings with them and ensure quarterly roadmap planning.
- Co-own business problems and technical initiatives with a wide range of stakeholders and translate them into data solutions.
- Maintain, develop and validate an existing, complex and changing CRM (Salesforce, Pipedrive) data landscape.
- Support and coach business analysts in the usage of the data through SQL and data models. You will bring a balance between short-term speedy solutions and long-term sustainable analytics.
- Develop deep knowledge of the upper funnel (lead to contract) data and use it to validate business logics plus an adequate usage.
Qualifications
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Information Technology
Graduate
Proficient
1
Berlin, Germany