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Business Intelligence Engineer

Req ID:  113002

Do you want to change the world? We do, too.
Solar penetration is less than 1%, but just one hour of sunlight, if harnessed, could power the entire world for a year. We have the opportunity to change the way energy is produced, distributed and consumed, and we’re looking for talented, committed people to help us drive our growth and achieve our goals.
SunPower is a solar energy solutions company with a rich heritage of pioneering the best solar technologies in the world. Our solutions are unrivaled in terms of long-term reliability, efficiency, and performance. SunPower offers the only solar + storage solution designed and warranted by one company that gives customers control over electricity consumption. Through design, installation, maintenance, and monitoring, SunPower provides its world-class solar solutions to residential and commercial customers across the U.S.
SunPower is changing the way our world is powered every day with a brilliant, passionate, and driven team of more than 2,500 in North America and the Philippines. In an industry that is reshaping the world’s energy future, there’s no better place to be than SunPower.
We believe that our employees create our brand – with each project, each communication, each task completed and each interaction. SunPower welcomes the forward thinkers, the future savers of the world, the freedom chasers and all those demanding better, cleaner energy.



The Data Science team under SunPower Financial Products develops the end-to-end data analytics and statistical models that SunPower needs to offer a proprietary suite of world class financial products. This business serves four main customer types – consumers, dealers, home builders, and fixed income investors – each with its own unique analytical and modeling challenges. These include forecast models, propensity models for optimization of the funnel, personalization models to delight customers, credit underwriting, prepayment, interest rate, as well as portfolio analytics. 

The Data Science team is looking for a Business Intelligence Engineer (BIE) to help us accelerate our efforts in delivering our new generation of SunPower’s Financial Products. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth. 
Key job responsibilities 

  • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs for operations. 

  • Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals. 

  • Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle), and learn and understand a broad range of SunPower’s data resources and know how, when, and which to use and which not to use. 

  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. 

  • Work closely with data & software engineering teams to establish analytical data store for internal and external datasets relevant to the risk of our financial products. 

Basic qualifications: 

  • Bachelor's degree in Sciences, Engineering, Finance or related field. 

  • Advanced knowledge of SQL, Data Warehouse solutions and database in a business environment with large-scale, complex datasets. 

  • Written and verbal skills to effectively communicate to both business and technical teams, including defining business requirements and conveying key insights from complex analysis. 

  • Ability to work with shifting deadlines in a fast-paced environment. 

  • Demonstrated ability to draw insights from data and clearly communicate them to both business and technical teams. 

  • Advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools. 

  • Develop and present recommendations of new metrics allowing better understanding of the performance of the business. 

Preferred qualifications: 

  • Advanced degree in Sciences, Engineering, Finance or related field. 

  • Experience using databases in a business environment with large-scale, complex data sets. 

  • Experience building data products incrementally and integrating and managing datasets from multiple sources. 

  • Experience with statistical analysis. 

  • Coding proficiency in at least one modern programming language or statistics analysis language (Python, R, STATA, etc). 

  • Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams. 

  • Ability to work on a diverse team or with a diverse range of coworkers Inclusive Team Culture. 


Equal Employment Opportunity
The Company is an equal employment opportunity employer and makes employment decisions, including but not limited to, hiring, firing, promotion, demotion, training, and/or compensation, on the basis of merit. Employment decisions are based on an individual’s qualifications as they relate to the job under consideration. The Company’s policy prohibits unlawful discrimination based on sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions, the actual sex of the individual, or the gender identity or gender expression), race, color, religion, including religious dress practices and religious grooming practices, sexual orientation, national origin, ancestry, citizenship, marital status, familial status, age, physical disability, mental disability, medical condition, genetic information, protected veteran or military status, or any other consideration made unlawful by federal, state or local laws, ordinances, or regulations. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers.

EOE Minorities/Females/Protected Veterans/Disabled

SunPower Supports EEO

Accommodation for Applicants to SunPower Corporation
SunPower Corporation is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need a reasonable accommodation due to a disability, you may use the following alternative email address to contact us about your interest in employment at SunPower Corporation: Please indicate in the subject that line of your email that you are requesting accommodation. Only candidates being considered for a position who require an accommodation will receive a follow-up response.



Availability of Affirmative Action Plan for Review

SunPower is a federal government contractor. As a part of the Company’s obligations under law, it must develop a written Affirmative Action Program (AAP) for the Disabled, Recently Separated Veterans, Armed Forces Service Medal Veterans, Disabled Veterans and Active Duty Wartime Or Campaign Badge Veterans and for Women and Minorities as specified by law. Non-confidential and non-proprietary aspects of the AAP are available for inspection by applicants and employees, consistent with applicable law, which will be made available during office hours by contacting the EEO Officer.




SunPower Values

  • Put Customers First
  • Win Together
  • Lead Decisively
  • Innovate Relentlessly
  • Do the Right Thing

Nearest Major Market: Eugene

Job Segment: Business Intelligence, ERP, Data Warehouse, Database, SQL, Technology

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