```html
About brighthush
brighthush is the trailblazer in the sustainable mobility arena, powering the largest open DC fast‑charging network across the United States. Our mission is simple yet bold: accelerate the global shift to electric vehicles by delivering reliable, high‑speed charging infrastructure that fuels a cleaner, greener future. We do this by marrying cutting‑edge technology with a relentless focus on customer experience, data‑driven decision making, and a culture that thrives on innovation, collaboration, and purpose.
Why Join brighthush?
At brighthush, you’re not just filling a role—you’re shaping the future of transportation. Our remote‑first model gives you the freedom to work from anywhere in the U.S., while our vibrant, inclusive culture keeps you connected through virtual stand‑ups, hackathons, and knowledge‑sharing sessions. We celebrate curiosity, reward bold ideas, and empower every team member to make an impact on a global scale.
Role Overview
As a Senior Customer & Marketing Data Analyst, you will be the analytical engine behind our marketing strategy and customer engagement initiatives. You will transform raw data into actionable insights, build interactive dashboards, and develop predictive models that drive business decisions across marketing, sales, product, and finance. Your work will directly influence how we attract new users, retain existing customers, and optimize marketing spend in a highly competitive, fast‑moving industry.
Key Responsibilities
- Data Pipeline Architecture: Design, build, and maintain scalable data pipelines that ingest, cleanse, and transform data from Salesforce Marketing Cloud, Google Analytics 4, and internal operational systems into a unified, query‑ready format on Snowflake.
- Dynamic Dashboards & Self‑Service Analytics: Create and maintain real‑time dashboards in Tableau, Looker, and Power BI that provide visibility into marketing performance, customer acquisition costs, lifetime value, and campaign ROI.
- Predictive Modeling & Machine Learning: Build, validate, and deploy models (churn prediction, propensity scoring, segmentation) using Python (scikit‑learn, pandas, numpy) and Jupyter notebooks to forecast customer behavior and optimize marketing tactics.
- Cross‑Functional Collaboration: Partner with Marketing, Product, Sales, and Finance teams to translate business questions into analytical solutions, ensuring insights are actionable and aligned with strategic objectives.
- Data Governance & Quality Assurance: Implement data quality checks, lineage documentation, and version control (Git, Bitbucket) to maintain data integrity and reproducibility across projects.
- Continuous Improvement & Innovation: Stay abreast of emerging analytics tools, techniques, and industry best practices; recommend and pilot new solutions that enhance data accessibility and analytical depth.
- On‑Site Collaboration: Travel to our Reston headquarters approximately four times per year to collaborate with on‑site teams, attend workshops, and participate in company‑wide initiatives.
Essential Qualifications
- 2–5 years of professional experience in data analysis, marketing analytics, or a related field.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a closely related discipline.
- Proficiency in SQL for data extraction and manipulation across relational and cloud data warehouses.
- Strong Python programming skills, including experience with pandas, numpy, scikit‑learn, and Jupyter notebooks.
- Hands‑on experience building dashboards in Tableau, Looker, or Power BI, with a portfolio of published reports.
- Experience with cloud data platforms such as Snowflake, AWS S3, Aurora, and DocumentDB.
- Familiarity with marketing automation tools (Salesforce Marketing Cloud) and web analytics (Google Analytics 4).
- Solid understanding of statistical concepts and machine‑learning algorithms.
- Experience with version control systems (Git, Bitbucket) and Agile development practices.
- Excellent communication skills—capable of translating complex data insights into clear, actionable recommendations for non‑technical stakeholders.
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Data Science, Analytics, or a related field.
- Experience with NoSQL databases such as MongoDB.
- Knowledge of data visualization best practices and storytelling techniques.
- Experience in the utilities, energy, or mobility sectors.
- Certifications in data analytics (e.g., Google Data Analytics Professional Certificate, Tableau Desktop Specialist).
- Proficiency in additional programming languages (R, SQL‑based scripting).
Technical Skills & Competencies
- Data Engineering: SQL, Snowflake, AWS S3, Aurora, DocumentDB, ETL pipelines.
- Analytics & Modeling: Python, pandas, numpy, scikit‑learn, statistical analysis.
- Visualization: Tableau, Looker, Power BI.
- Marketing Platforms: Salesforce Marketing Cloud, Google Analytics 4.
- Version Control & Collaboration: Git, Bitbucket, Agile Scrum.
- Soft Skills: Critical thinking, problem‑solving, stakeholder management, effective storytelling.
Career Growth & Learning Opportunities
At brighthush, your career trajectory is supported by a culture of continuous learning and professional development. You will have access to:
- Mentorship from senior data scientists and marketing leaders.
- Paid training and certification programs in advanced analytics, cloud technologies, and industry‑specific knowledge.
- Opportunities to lead cross‑functional projects, influencing product roadmaps and marketing strategies.
- Clear promotion paths within the Data & Analytics organization, from Analyst to Senior Analyst, Lead Analyst, and beyond.
- Participation in industry conferences, hackathons, and internal innovation labs.
Work Environment & Company Culture
brighthush thrives on a collaborative, inclusive, and forward‑thinking culture. Our remote‑first model empowers you to work from anywhere in the United States while staying connected through regular virtual stand‑ups, hackathons, and knowledge‑sharing sessions. We celebrate diversity, encourage curiosity, and reward bold ideas that push the boundaries of sustainable mobility.
Compensation & Benefits
We offer a competitive salary range of $60,800 – $109,400 per year, commensurate with experience and skill level. In addition to base pay, you will enjoy:
- 401(k) plan with company matching.
- Generous paid time off, including vacation, sick leave, and personal days.
- Tuition reimbursement for approved courses and certifications.
- Health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Employee wellness programs and mental health resources.
- Annual company retreats and team‑building events.
How to Apply
Ready to power the future of mobility with data‑driven insights? Submit your application through our careers portal or click the link below to apply directly. We look forward to learning how your analytical expertise can help brighthush accelerate the adoption of electric vehicles and create a cleaner, smarter transportation ecosystem.
``` Apply for this job