Business Intelligence / Data Analyst

Buckstop Industries Inc.

Washington (District of Columbia)

On-site

USD 90,000 - 130,000

Full time

5 days ago
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Job summary

Buckstop Industries Inc. is seeking a skilled Business Intelligence / Data Analyst to support data analytics, customer insights, and visibility initiatives. You will build dashboards, analyze customer metrics, clean and segment complex datasets, and generate actionable insights for strategic decisions.

The ideal candidate brings energy and project finance experience with a strong analytical toolkit and the ability to translate data into clear visualizations and communication.

Qualifications

  • Energy sector experience is required.
  • At least 3 years of project finance experience.
  • At least 3 years of professional experience using Python and Excel macros.
  • Strong proficiency in data analysis, cleaning, segmentation and visualization.
  • Ability to communicate complex analytical findings clearly to stakeholders.

Responsibilities

  • Conduct customer case study research to evaluate operational performance and customer impact.
  • Drive internal customer visibility analysis and cross-functional communication.
  • Perform data segmentation and attribution analysis across datasets.
  • Define, track, and report on internal performance metrics and KPIs.
  • Execute data cleaning, transformation, and segmentation routines.
  • Design, build, and maintain data visualizations and dashboards.

Skills

Data analysis
Data cleaning
Data segmentation
Data visualization
Python
Excel macros
Project finance
Energy sector experience
Communication to stakeholders

Tools

Excel
Python

Job description

The Opportunity

Buckstop is seeking a skilled and detail-oriented Business Intelligence / Data Analyst basis to support our data analytics, customer insights, and visibility initiatives.

In this role, you will work closely with our team to conduct customer case study research, build internal visibility dashboards, analyze customer metrics, clean and segment complex datasets, and generate actionable insights for strategic decision-making.

The ideal candidate brings energy and project finance experience combined with a strong analytical toolkit and the ability to translate complex data into clear visualizations and communication.

What You'll Do
Business Intelligence & Data Analysis
  • Conduct customer case study research to evaluate operational performance and customer impact
  • Drive internal customer visibility analysis and cross-functional communication
  • Perform data segmentation and attribution analysis across customer and operational datasets
  • Define, track, and report on internal performance metrics and KPIs
  • Execute data cleaning, transformation, and segmentation routines
  • Design, build, and maintain data visualizations and dashboards
What We're Looking For
Required Qualifications
  • Experience in the energy sector
  • At least 3 years of project finance experience
  • At least 3 years professional experience using Python and Excel macros
  • Strong proficiency in data analysis, data cleaning, segmentation, and data visualization
  • Ability to communicate complex analytical findings clearly to stakeholders
Preferred Qualifications
  • Experience working at a B2B software company
  • Experience with insurance underwriting and/or risk modeling
  • Experience with user and product engagement modeling
  • Using AI models to generat e verify and confirm financial models
Who You Are
  • You are highly analytical, detail-oriented, and structured in your approach to problem-solving
  • You enjoy working with raw datasets and turning them into clean, reliable insights
  • You operate with an ownership mindset and can work independently in a fast-paced environment
  • You communicate complex data clearly across teams
Why Buckstop
  • Direct collaboration with founders and cross-functional leadership
  • High-visibility contract role shaping the business intelligence foundation of the company
  • Opportunity to apply your analytics expertise to core sustainability and circular economy challenges
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