United states-virginia-reston
Since close to its inception, electrify america has used, without significant revision, a basic framework for business intelligenceAs the company rapidly grows, we need to continue developing our analytics capacity, data architecture and workflow processThe selected candidate will streaming our data ingestion process, improve data validation, and help construct metrics dashboards and visualizations leading to better insights and reporting.
Within the first month, you will have integrated into the electrify america team and built a deep understanding of its current technology infrastructure and business needs and identifying ways to make them more robust.
By the end of month 3, you will have helped streamline our existing data ingestion and begun to create custom pipelines for ongoing ml models and internal dashboards.
From there, your role will continue to evolve as our small analytics team growsProjects may be ad hoc or part of a longer-term initiative.
Role responsibilities:
Main responsibility – 60 % of time spent
Implement and maintain data pipelines from operational backend and external systems to end-user interfaces in development sprints
Additional responsibilities
Assemble large, complex datasets to meet functional / non-functional business requirements (20%)
Design dataops architecture and automating manual processes based on customer needs (10%)
Assist analytics and business function teams with data acquisition (10%)
Qualifications:
Years of experience: 5 to 7 years
Education:
Required - undergraduate degree in computer science, data science, information science, quantitative modeling, business intelligence or a related field
Skills:
Structured problem solving
Computer programming
Data validation and pipeline construction
Data visualization and presentation
Project management and scoping
Cross-functional coordination
Multi-stakeholder communication and collaboration
Specialized skills:
Required:
Experience with cloud-based data warehouses/lake houses such as snowflake, databricks, or redshift
Experience developing pipelines for sql and nosql databases with data ingestion/etl tools such as fivetran, stitch, dbt, segment, matillion, or customized code
Experience with programming languages such as python or spark
Experience with orchestration and scheduling tools such as airflow, luigi, cron, and kafka
Experience with version control tools such as git,
Experience with visualization and analysis tools such as tableau
Desired:
Certification with aws cloud tools
Experience with agile workflow, project scoping, timeline estimation, process documentation
Strong business sense – understand abstract stakeholder needs as well as key metrics across finance, marketing, and operations
Work flexibility: no/minimal travel, remote work available
Volkswagen group of america is an equal opportunity employerWe welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
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