Data Analytics Lead: Insights, Modeling & Strategy

Electrify America LLC; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Electrify America LLC in the United States seeks a Data Analytics Lead to partner with business stakeholders, build models and forecasts, and deliver insights that drive strategic decisions across finance, marketing, and operations.

You will integrate into the data team within the rapidly growing organization, streamline analysis and forecasting pipelines, enhance data quality, and champion automation while collaborating across functions and leadership.

Qualifications

• 8+ years of industry experience in analytics or data science.
• Strong business sense across finance, marketing, and operations.
• Strong analytical and data-driven decision-making abilities.
• Proficient in SQL and data visualization tools.
• Experience with Python (Pandas, numpy, scikit-learn).
• Familiarity with ML modeling and hypothesis testing.

Responsibilities

• Insight Generation: partner with stakeholders to gain insight and present analyses and actions to leadership.
• Model Development: develop and improve models and forecasts based on evolving needs.
• Automation: incorporate automation to ease maintenance.
• Data reconciliation: validate data across systems and reports.

Skills

Structured problem solving

Business analysis & insights

Machine learning modeling

Statistical analysis

Data validation

Cross‑functional coordination

Project management

Self-starter

Presentation skills

Education

Bachelor's in Business Analytics, Data Science or relevant degree

Tools

SQL

Tableau

Power BI

Looker

Excel (VBA)

Job description

Electrify America LLC in the United States seeks a Data Analytics Lead to partner with business stakeholders, build models and forecasts, and deliver insights that drive strategic decisions across finance, marketing, and operations.

You will integrate into the data team within the rapidly growing organization, streamline analysis and forecasting pipelines, enhance data quality, and champion automation while collaborating across functions and leadership.