Lunar Energy Logo

Lunar Energy

Operations BI Engineer Contractor

Reposted 24 Days Ago
Remote
Hiring Remotely in USA
50-70 Hourly
Mid level
Remote
Hiring Remotely in USA
50-70 Hourly
Mid level
Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.
The summary above was generated by AI

Operations BI Engineer Contractor 

We power the world with endless clean energy, one home at a time. We design and build solar and battery systems that capture the sun during the day and use it whenever it's needed, brilliantly designed to be simple to install, intuitive to use, and beautiful inside and out.

We're scaling fast: ramping production, shipping a Gen 2 product line, and expanding our supply base across a growing network of manufacturing partners. That growth generates a wealth of operational data across manufacturing, supply chain, quality, and fulfillment, and shaping how that data gets used is still wide open. You'll have the room to build the tools and dashboards that define how Lunar runs.

Lunar Energy was founded to transition homes to 100% clean energy—making our electricity greener, our air cleaner and our energy more safe, secure and reliable for all. We’re a fast-growing, global company building the world’s best clean energy products to electrify all homes and connect communities to form clean, resilient virtual power plants.

The role

This role owns BI dashboarding, internal tool building, and workflow automation for manufacturing, supply chain, quality, and fulfillment teams. You'll work closely with manufacturing, supply chain, quality, and engineering, translating loosely defined stakeholder needs and unstructured data into scoped dashboards, automations, and internal tools.

What you'll do

  • Dashboard and reporting development – build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment teams, tied to recurring decisions rather than passive reporting. Track KPIs like OEE, yield, downtime, cycle time, throughput, shortages, and fulfillment performance.
  • Internal tool building and workflow automation – build internal tools, scripts, and workflow automations that replace manual status reporting, KPI refreshes, and exception tracking, using scripting and workflow logic to solve business problems without large-scale software engineering support.
  • API and business systems integration – connect Jira, Confluence, Google Sheets/Drive, and other business tools to move data and trigger workflows, and integrate data from ERP, MES, PLM, and other operational systems into unified reporting outputs.

What you'll bring

  • BS in a quantitative, technical, or operations-related field (Computer Science, Information Systems, Industrial Engineering, Data Analytics, Supply Chain), or equivalent practical experience.
  • 2-4 years of experience building BI dashboards, internal tools, or workflow automation, ideally supporting manufacturing, supply chain, or operations teams.
  • Strong SQL for extracting, joining, validating, and cleaning data from fragmented operational sources, specifically with Postgres databases.
  • Proficient with APIs (Slack, Atlassian, Google) to connect business systems for reporting and workflow automation
  • Grafana experience is required, including building and maintaining dashboards for operational KPIs.
  • At least one scripting language for internal tools and automations, Python preferred.

Nice to have

  • Infrastructure-as-Code experience, since Grafana is deployed this way.
  • Experience with Claude Code, GitHub Copilot, or similar agentic coding tools.
  • Experience with Arena PLM, SiliconExpert, or ERP/MES/WMS systems.
  • Comfortable turning ambiguous stakeholder requests into scoped dashboards, automations, and internal tools.

Our DE&I Philosophy: Lunar Energy is an equal opportunity employer. We are committed to attracting, developing and retaining diverse talent by supporting an inclusive workplace. Lunar recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.

Our Compensation Philosophy: Our goal is to ensure that all Lunar Energy employees are fairly compensated. Please note that the hourly range information that follows is a good faith estimate for this position provided pursuant to the Pay Transparency for Pay Equity Act for California applicants. The hourly range estimate for this position depending on level of experience is $50-$70 USD

The actual offer, reflecting the total compensation package will be at the company’s sole discretion, and determined by factors including but not limited to years of experience, job level, geographic location, and other relevant business considerations. The company also reserves the right to amend or modify this job description, employee perks, and benefits at any time.

HQ

Lunar Energy Mountain View, California, USA Office

Mountain View, CA, United States

Similar Jobs

2 Hours Ago
Remote or Hybrid
Pennsylvania, USA
79K-185K Annually
Senior level
79K-185K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Design, build, and maintain large-scale data pipelines and lake architectures on AWS using Spark/Databricks. Ensure data quality, lineage, observability, and TDD-based testing. Support self-service analytics, semantic layers, and cross-functional stakeholders while providing production support and documentation.
Top Skills: Apache IcebergSparkAWSDatabricksDatabricks Delta Live Tables (Dlt)Delta LakeKubernetesLookerPysparkPythonSnowflakeSQLTabTeradata
2 Hours Ago
Remote or Hybrid
Virginia, USA
42K-99K Annually
Mid level
42K-99K Annually
Mid level
Digital Media • Information Technology • News + Entertainment
Sell and service local advertising accounts to meet annual sales goals. Prospect and develop new customers, prepare market research and proposals, manage schedules and contracts, maintain CRM records, support collections and sales forecasts, and collaborate across departments. Must handle variable schedules including nights and weekends.
Top Skills: CRMFreewheel
2 Hours Ago
Remote or Hybrid
120K-225K Annually
Senior level
120K-225K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Perform advanced actuarial analyses to price casualty reinsurance (umbrella, professional liability, multi-line), develop models and tools, prepare and present research and recommendations, document methods, advise peers and stakeholders, and mentor junior staff to support business decision-making and financial objectives.
Top Skills: ExcelSAS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account