Manager, Business Intelligence - Terminals
Job in
Lawrence, Essex County, Massachusetts, 01842, USA
Listed on 2026-02-12
Listing for:
ERI - Energy Recruiters
Full Time
position Listed on 2026-02-12
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Energy Recruiters has partnered with a leader in the petroleum supply chain and is a search for their Manager, Business Intelligence – Terminals. The successful candidate will be a “player/coach”, managing a team of analysts while working closely with the terminal and logistics (pipeline, rail, barge) operations teams to optimize the company’s growing operations.
Compensation:
Based on Experience
Location:
Boston, MA or Houston, TX
Responsibilities:
- Lead and mentor (player coach) a team of BI analysts, fostering analytical rigor, technical skill development, with a culture of curiosity and data-driven insights.
- Partner with Terminal leadership to define key performance indicators (KPIs) and develop robust analytical frameworks to measure business performance, identify trends, and track progress against strategic goals.
- Conduct deep-dive analyses using SQL, BI tools (Tableau, Power BI, etc.), and Python/R to uncover root causes, identify actionable opportunities for growth or optimization, and quantify business impact.
- Own the design, development, and continuous improvement of core Terminal dashboards and reporting suites, ensuring data accuracy, clarity, and relevance for various Retail business verticals.
- Champion data quality, consistency, and governance best practices within the Terminal analytics domain.
- Explore and apply appropriate statistical techniques or basic forecasting models to address specific Terminal challenges, such as customer behavior analysis or demand planning (nice-to-have).
Requirements:
- Bachelor’s Degree
- Experience with in petroleum terminals or related industries.
- 5-7+ years in Business Intelligence or Data Analytics, 2-3+ years of experience leading projects or directly managing/mentoring analytical staff.
- Excellent SQL skills, expertise with major BI platforms (Tableau, Power BI, Looker, etc.), exposure to data preparation/modeling tools (e.g., dbt, sqlmesh), exposure to Python or R for data analysis and automation, familiarity with cloud data warehouses (e.g. Snowflake, Big Query).
- Exceptional communication skills, able to present complex information clearly.
- Strong leadership, mentoring, and collaboration skills; proven ability to manage and develop analysts as a player-coach.
Contact:
Paul Melgaard at or
Pat Siefert at or
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