Sr. Business Intelligence Engineer - Warehouse Analytics - Remote

NAVA Software solutions is looking for a Sr. Business Intelligence Engineer - Warehouse AnalyticsDetails:Sr. Business Intelligence Engineer - Warehouse AnalyticsLocation: RemoteDuration: Full time /Direct HireResponsibilities:You'll work in three main modes on our Business Intelligence team: Problem-solving and solution design You'll act as part private investigator, part anthropologist as you work to map real-world activity and processes to systems and data You'll act as an internal consultant as you work collaboratively with business partners to design the best way to make people's decisions better and their lives easier Data modeling You'll use dbt, a SQL-based framework for defining data transformations, to build and extend core data models in our Snowflake data warehouse You'll also develop the backend models for Power BI datasets, using DAX and the full range of tooling available to you in the Power BI service Visualization and product development You'll make apps and dashboards in Power BI, targeting hundreds to thousands of users globally You will have the freedom to explore other solutions as needed, even if they're not part of our core stack No matter what mode you're working in at the time, you'll use an engineering-driven approach: you'll automate, you'll test, you'll use version control, you'll optimize performance, you'll measure outcomes.You'll also spend time on learning new data skills: we'll specifically allocate time for you to attend trainings, try new technologies, or work on side projects, so that you can grow with the team. Must have / Required skills:Preferred:WMS, footprint or Softeon experienceMust be great with data modeling andPower BI Must be ambitious - a lot of dashboards that need to be rebuilt Must produce high quality work and can be in front of a client Must: Sr. level - 7+ years of professional BI experience Must: Strong SQL Must: DBT Data modeling Power BI Snowflake Experience working with stakeholders and presenting in front of clients Project ownershipOUR STACKPower BI for rapidly building dashboards Snowflake as our primary storage and compute engine dbt, a SQL-based framework for defining, testing, and documenting transformations and data models Azure Data Lake for archival and staging Prefect for orchestration Terraform for infrastructure configuration and provisioning git for version control GitHub Actions and Azure DevOps for CI/CD HVR for CDC (change data capture) from relational data stores Fivetran, Stitch, and custom integrations for batch-based integrations EDUCATION AND EXPERIENCERequired:Bachelor's degree or equivalent experience 10+ years of relevant professional experience as a Business Analyst, Data Analyst, or Analytics Engineer Experience building dashboards or with visualization & designing user experiences Experience designing KPIs: you understand and can communicate the impacts of selecting one metric over another Ideal:A highly quantitative background Experience with dbt Deep knowledge of SQL 2+ years of experience with Power BI Experience with Python or R