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Analyst, Finance Analytics at Tesla in Fremont, California

Posted in Other 30+ days ago.

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Type: Full Time

Job Description:

Team Overview

Tesla's mission is to accelerate the world's transition to sustainable energy. Tesla s Finance Analytics team supports this mission by converting raw data into actionable insights and automation through the following disciplines:

* Financial analysis - build automated financial models, conduct ad-hoc analysis, and make recommendations to management

* Business intelligence - increase data visibility and access for business teams through the creation and curation of data platforms and tools including Tesla's data warehouse, operational reports, self-service data models, and managerial dashboards

* Data engineering - build and manage data pipelines and analytical database architecture

* Data science - conduct statistical analysis and train machine learning models to inform and control financial decisions

* Back-end engineering - build and manage a collection of microservices to scale core business processes and integrate with enterprise systems

We are committed to hiring the world's best and brightest people who can sit at the intersection of multiple of these disciplines and are passionate about continuing to develop their skills further. We believe that small agile teams using modern development stacks and comprised of diverse members with complementary skill sets can have an outsized impact in driving better decisions and automating core business processes.

Role Overview

We are looking for a talented analyst who is passionate about data analytics, automation, and business decision making. This analyst will be a "data generalist" who can partner across business teams to find and execute on the highest leverage opportunities to democratize data, conduct data-driven analysis, and automate manual processes. This could include developing data pipelines, enhancing our data warehouse semantic layer, building self-service data models, creating dashboards and visualizations, training predictive models, conducting ad-hoc analysis, and automating processes that get us closer to real-time planning, forecasting, and financial close. This analyst will work side-by-side "data specialists" such as data engineers, data scientists, and software engineers. Successful analysts on our team have come from both business and technical backgrounds but all share a growth mindset and are constantly growing their knowledge and skills through continuous learning.


* Perform rigorous analyses on large, complex data sets and provide strategic insights, hypotheses, and conclusions based upon findings to non-technical stakeholders

* Work with business and engineering teams to drive the development of Tesla's data, reporting, and analytics platforms

* Build, maintain, and improve data models, forecast models, dashboards, and data pipelines

* Create clean, reliable, and scalable single-source-of-truth data sets by partnering with data quality and application engineering teams to address data issues in upstream systems and document data lineage, business logic, and KPI definitions

* Partner with business analysts to help automate manual workflows and train them in tools and skills to become self-sufficient as needed


* BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research) or BS/MBA in Finance, Accounting, Economics, Business Analytics

* Advanced knowledge of SQL

* Experience with commercial and emerging BI databases, technologies, and languages

* Experience with advanced Excel BI functionality and languages (Power Query (M), PowerPivot (DAX))

* Experience with data analytics tools and languages (R, Python)

* Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity

* Excellent problem-framing, problem solving and project management skills and ability to change direction quickly


* Knowledge of accounting principles, financial statements, and financial modeling

* Experience working with enterprise systems and understanding of data design pattern differences between transactional ERP systems and analytical data warehouses

* Experience with Microsoft BI stack: SQL Server, SSIS, SSAS Multidimensional (MDX), SSAS Tabular (DAX), PowerBI

* Experience with advanced Excel BI functionality and languages including Power Query (M), PowerPivot (DAX)

* Experience with Python-based data visualization packages and tools (Matplotlib, Plotly, Superset)

* Experience in building, deploying and maintaining data pipelines using open source tools like Python and Airflow

* Experience designing and building machine learning models with open source machine learning libraries and frameworks (Scikit-Learn, Tensorflow, Keras)

* Experience with cloud platforms (AWS, Azure, GCP)

* Experience with git and version control workflows

* Experience continuous integration pipelines and infrastructure (Docker, Jenkins, Kubernetes)

* Experience with application development frameworks (Flask, Django, JQuery, Angular)

* Knowledge of various data communication protocols (REST API, Websockets)


Tesla participates in the E-Verify Program

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.