Manager/Director of Business Intelligence & Data Analytics

Overview

On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Business Intelligence
data analytics
Tableau
Data modeling
ETL processes
Snowflake
SQL
EV charging

Job Details

Position: Manager/Director of Business Intelligence & Data Analytics
Duration: 6 Months Contract to Hire
Location: Los Angeles, CA
Key:
  • Direct hands-on experience in EV charging or cleantech industry.
  • Direct hands-on experience in these specific software platforms for BI & Data: Tableau, Snowflake, and dbt
Job Description:
We are seeking an experienced and highly skilled Manager / Director of Business Intelligence and Data Analytics with extensive expertise in using Tableau, Snowflake, and dbt coupled with a solid understanding of the EV charging industry. As the Manager / Director of Business Intelligence and Data Analytics, you will be responsible for leading and executing data analytics initiatives to drive business insights and help optimize business performance. You will support a wide range of internal stakeholders in analyzing disparate data sets, developing metrics to track performance, building powerful visualizations and dashboards primarily via Tableau, and continuously look out for data-driven business and process improvements.
This is a senior single-contributor role that closely collaborates and coordinates with various departments. You will be a team of one in the BI and Data Analytics function, directly executing all aspects of data management and analytics, including ETL and developing dashboards.
Key Job Responsibilities:
  • Manage a queue of data-analysis requests from a range of business stakeholders across the organization, including the executive team.
  • Gather, structure, and analyze data from various sources, including EV charging infrastructure, customer usage patterns, payment processors, financial metrics, and market trends.
  • Lead deep-dive analyses and help define, develop, and track key performance metrics for various business functions. This includes but is not limited to: customer utilization behaviors, charging network operations, network expansion and site selection, etc.
  • Design and develop interactive dashboards, reports, and visualizations using Tableau to provide insights on key business metrics and performance indicators.
  • Identify trends, patterns, and anomalies in data, and provide actionable recommendations based on your findings.
  • Collaborate closely with cross-functional teams, including product, customer solutions, partnership, operations, marketing, finance, and accounting, to identify analytical needs and deliver data-driven solutions.
  • Design and implement data models, data pipelines, and ETL processes to ensure data accuracy, integrity, and accessibility for reporting and analysis.
  • Continuously automate data analytics functions and reports as needed to focus on highest leverage work, and ensure the scalability, security, and performance of data analytics infrastructure and tools.

Basic Qualifications:
  • Bachelor's degree in Engineering, Computer Science, Data Science, or a related field.
  • Proven experience in business intelligence and data analytics; 3+ years for Manager, and 6+ years for Director.
  • Proven experience in using Tableau for data visualization and reporting; 3+ years for Manager, and 6+ years for Director.
  • Strong proficiency in SQL for data extraction, manipulation, and analysis.
  • Excellent knowledge of data modeling, ETL processes, and data warehousing concepts.
  • Good understanding of the EV charging industry.
  • Exceptional analytical and problem-solving skills, with the ability to translate business requirements into data-driven insights and recommendations.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical stakeholders.

Preferred Qualifications:
  • Experience with Snowflake and dbt.
  • Prior work experience in the EV charging or clean energy industry.
  • Masters degree in Data Science, Engineering, or related field.
  • Tableau Desktop Qualified Associate or higher certification.