Customer & Marketing Data Analyst

Volkswagen AG

1d•$60,800 - $156,500•Hybrid

About The Position

Electrify America is committed to revolutionizing the way people charge. As the country's largest open DC fast charging network, Electrify America is actively contributing to electrifying mobility today and building a more sustainable future. At Electrify America, we value innovation, collaboration, and a commitment to sustainability. We strive to establish a diverse and inclusive workplace where employees can develop personally and professionally. As a team member at this rapidly growing company, you can work on state-of-the-art technology and join a team making a significant impact in the world. If you're interested in joining a dynamic, innovative company, Electrify America is a place where you can learn, grow, and make a difference! Brief Role Description Electrify America seeks a contracted Marketing Data Analyst to support marketing performance reporting, dashboard development, predictive model building, and supplemental analytical projects to drive data-informed decisions. This role will help transform raw data into actionable insights that inform marketing and sales strategies and performance optimizations — helping Electrify America strengthen brand loyalty, amplify customer voices, grow topline revenue, and maintain leadership in the EV charging space.

Requirements

2-5 years of relevant experience
Undergraduate degree
Structured problem solving
Relational database programming (SQL, Python)
Business analysis and insights generation
Machine learning modeling
Statistical analysis
Data validation
Data visualization and presentation
Cross-functional coordination and a consultative mindset
Project management and scoping
Collaborative
Self-Starter
Strong business sense – understand abstract business needs as well as business analysis metrics across various business areas.
Strong analytical skills - ability to collect, organize, and analyze data with attention to detail and accuracy
Strong skills in statistical analysis, regression analysis, hypotheses testing, probability concepts, correlation analyses, and time series analyses
Strong skills in supervised & unsupervised machine learning modeling
Strong skills in working with cloud data warehouses such as Snowflake
Strong skills in developing and running queries for relational databases, such as SQL
Strong visualization and analysis tools such as Tableau, Looker, or PowerBI
Strong skills in Python (Pandas, numpy, scikit-learn)
Presentation skills – ability to turn data into actionable information
Experience with Agile workflow, project scoping, timeline estimation, process documentation
Experience with version control tools, such as Git or Bitbucket

Nice To Haves

Knowledge of NoSQL databases and MongoDB query languages
Experience using cloud-based data managed in AWS S3, Aurora, and DocumentDB
Experience managing and improving cross-functional processes
Experience with developing & maintaining data ingestion pipelines into Snowflake
Experience with retrieving data from APIs

Responsibilities

Provide automated reports on growth performance to key stakeholders.
Perform deep-dive and ad-hoc analyses on marketing initiatives, campaign performance, audience behavior, and utilization data.
Proactively monitor and track marketing KPIs (e.g., CTR, CPA, ROAS, Conversion Rates).
Translate findings into actionable insights and optimization opportunities for stakeholders through reports and presentations.
Build analyses / models that enable decision making oriented on customer acquisition and growth.
Extract and clean data across multiple platforms (e.g., Google Analytics 4, Social Media Platforms, Salesforce Marketing Cloud, EA Utilization Data) for analysis and database storage.
Write, optimize, and document SQL queries to retrieve data from databases.
Support the development of marketing/customer tables and views in database schemas.
Build and maintain marketing reporting dashboards using BI tools (Tableau, Power BI).
Apply visualization best practices for clarity and usability.
Conduct routine quality assurance checks to ensure data accuracy and consistency.
Work closely with marketing and sales teams to collect business requirements and documentation.
Create clear, concise reports and presentations for stakeholders to inform decision-making with data-driven recommendations.
Work cross-functionally with other analyst(s) and data engineers to support analysis and data integration