About Redwood Materials

Redwood Materials was founded in 2017 to create a circular supply chain for electric vehicles and clean energy products, making them more sustainable and driving down the cost for batteries. We’re doing this by developing and deploying new technologies to increase the scope and scale of recycled and sustainable materials in the global battery supply chain.

Data Analyst

Essential Duties:

Redwood Materials is looking for motivated and talented data analysts to build data visualizations and automate data pipelines and business logic. Analysts will work with a wide variety of data across the supply chain, planning, inventory, and engineering teams. The ideal candidate is someone experienced in thoughtfully and sustainably automating reporting and BI tasks with an eye for high-value improvement opportunities. This is an opportunity to join during a critical growth phase and build green field software experiences and capabilities which will have a significant impact on the company’s day-to-day operations and ability to scale.

Responsibilities will include:

• Work with cross functional teams to discover business needs and design appropriate data models.
• Create data sets to support various use cases, such as business analytics, dashboards, reports, and machine learning.
• Build high-value reports and dashboards for a variety of internal Redwood Materials teams.
• Maintain and implement data pipelines to and from an S3 based data lake and relational database services
• Leverage existing AWS architectures and design new ones where needed, using the CDK tool kit.

Desired qualifications:

• Bachelor’s degree in computer science, information technology, data science, business analytics or similar technical field of study, or equivalent practical experience
• Minimum 2 years of hands-on experience developing data solutions in a modern cloud environment.
• Extensive experience with Tableau, Power BI, or similar (Tableau preferred)
• Proficiency in data modeling using scripting and SQL.
• Fluency in Python.
• Familiarity with AWS data pipeline tooling.
• Understanding of the AWS ecosystem and Infrastructure-as-code methodologies (CDK a plus).
• Demonstrated ability to manage production data workloads (detecting and diagnosing issues, monitoring).

Physical Requirements:

• Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards.
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state and local standards
• Must be able to lift and carry up to 50 lbs.
• Must be able to talk, listen and speak clearly on telephone

Working Conditions:

• Environment, such as office or outdoors.
• Exposures encountered, loud noise, or extreme heat/cold.
• Essential physical requirements, such as climbing, standing, stooping, or typing.
• Indicate if required to work weekends, nights, or be on-call as a regular part of the job.
• Travel requirements.

The position is full-time. Compensation will be commensurate with experience.

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