Customer Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Generate automated reports on growth performance for key stakeholders.

• Conduct in-depth and ad-hoc analyses on marketing strategies, campaign effectiveness, audience behavior, and usage data.

• Monitor and assess marketing KPIs such as CTR, CPA, ROAS, and conversion rates.

• Convert findings into actionable insights and optimization opportunities through reports and presentations.

• Develop analyses and models that support customer acquisition and growth decisions.

• Extract and cleanse data from Google Analytics 4, social media platforms, Salesforce Marketing Cloud, and Electrify America utilization data.

• Write, enhance, and document SQL queries.

• Assist in the development of marketing/customer tables and views within database schemas.

• Create and maintain marketing reporting dashboards using Tableau or Power BI.

• Implement visualization best practices and perform quality assurance checks to ensure data accuracy and consistency.

• Collaborate with marketing and sales teams to gather business requirements and documentation.

• Produce concise stakeholder reports and presentations that feature data-driven recommendations.

• Work cross-functionally with analysts and data engineers for analysis and data integration.

• Transform raw data into insights that guide marketing and sales strategies and performance enhancement.

• Travel to Reston four times a year.

⛳️ Requirements

• 2-5 years of relevant experience.

• An undergraduate degree.

• Structured problem-solving abilities.

• Proficiency in relational database programming (SQL, Python).

• Experience in business analysis and generating insights.

• Knowledge of machine learning modeling.

• Competence in statistical analysis.

• Skills in data validation.

• Proficiency in data visualization and presentation.

• Ability to coordinate cross-functionally with a consultative mindset.

• Project management and scoping experience.

• Strong business acumen and understanding of business analysis metrics.

• Excellent analytical skills with a keen attention to detail and accuracy.

• Familiarity with statistical analysis, regression analysis, hypothesis testing, probability, correlation, and time series analysis.

• Experience with supervised and unsupervised machine learning modeling.

• Familiarity with cloud data warehouses such as Snowflake.

• SQL query development and execution experience for relational databases.

• Proficiency in Tableau, Looker, or Power BI.

• Knowledge of Python, including libraries like Pandas, NumPy, and scikit-learn.

• Strong presentation skills for converting data into actionable insights.

• Experience with agile workflow, project scoping, timeline estimation, and process documentation.

• Familiarity with version control tools such as Git or Bitbucket.

• E-Verify participation and pre-employment substance abuse testing apply.

• Desired: Knowledge of NoSQL databases and MongoDB query languages.

• Desired: Experience with AWS S3, Aurora, and DocumentDB.

• Desired: Experience in managing and improving cross-functional processes.

• Desired: Experience in developing and maintaining data ingestion pipelines into Snowflake.

• Desired: Experience in retrieving data from APIs.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Comprehensive healthcare benefits.

• 401(k) plan with company matching.

• Defined contribution retirement program.

• Tuition reimbursement program.

• Company lease car program.

• Paid time off.

• Up to 100% remote working options.