Customer & Marketing Data Analyst

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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. Ifyou'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.

Possible Tasks within this Role 1. Reporting & Analysis – 35%

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.

2. Data Collection & Management – 25%

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.

4. Collaboration & Insights Generation – 15%

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

Qualification requirements Years of Relevant Experience

2-5 years of relevant experience

Education - Required

Skills

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

Specialized Skills - Required

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)

Present