1974 Analytics Engineer
Analytics Engineer will leverage the Company’s data tools like SQL, Spark, Hive, and Python to support the revenue operation team.
They must be able to efficiently deal with ambiguity and communicate well with data stakeholders to fulfill the data needs for analytics, reporting, metrics development, and data modeling.
They will transform data from data warehouse tables into valuable data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and serve data stakeholders.
They will work collaboratively across business analytics, data science and data engineering to achieve highly impactful outcomes.
Strong SQL expertise is required.
Experience with schema design, dimension data modeling and metrics development is required. Lightweight reporting experience is required, experience with Tableau being strongly preferred.
Strong collaboration skills with both business and technical stakeholders required, in particular translating business needs to technical specifications and communicating technical issues to business audiences.
Experience with Python is preferred.
Experience with Airflow or a similar workflow management platform preferred.
Experience with Salesforce and JIRA are nice to have.
Bachelor degree in CS or other relevant degrees.
PLEASE NOTE: Our client has mandated COVID-19 vaccination for their workforce, all external personnel providing services to our client are required to comply with this requirement.
Compensation Range: $45 – $55/hr