Mission Statement:
We are Black Rifle Coffee Company, a veteran-founded company serving premium, fresh-roasted coffee to people who love America. We have a love for coffee, dogs, the outdoors, America, and most importantly, our customers! We are more than a product and more than a company; we are a culture. A culture full of motivated people who roll up their sleeves and get the job done with integrity, love, innovation, and radical transparency. Join us as we take action on our commitment to provide quality coffee and give back to the veteran and first responder communities and those who support it.
Job Summary
We are looking for a forward-thinking Analytics Engineer with a passion for automation, AI, and data-driven decision-making. This role blends traditional financial analysis and BI responsibilities with modern tools like Large Language Models (LLMs) and Agentic Workflows. You will be instrumental in transforming our finance operations through automation, predictive insights, and AI-enhanced reporting, helping us move from reactive reporting to proactive financial intelligence. You will also focus on reducing redundancies and manual tasks.Job Details
Key Responsibilities:
Partner with Data Team to develop AI-enhanced financial tools, dashboards, and internal assistants.
Design and manage processes—such as agentic workflows or data pipelines-- to automate repetitive finance tasks like reconciliations, report generation, and data entry.
Using APIs and other developer tools, integrate GenAI into financial workflows to automate commentary, document analysis, and insight generation.
Develop and version control Data Models to power automations.
Work closely with FP&A, accounting, investor relations, and financial business units to understand requirements and deliver actionable insights.
Continuously evaluate new technologies and tools that can improve finance team productivity and insight generation.
Ensure all AI and automation solutions comply with internal controls, security standards, and relevant regulations.
Education and Skill Requirements
Bachelor’s degree in Finance, Accounting, Data Science, Computer Science, or related field
3+ years of progressive experience in Finance, BI, or Data Analytics with exposure to data modeling and analysis.
Expert proficiency in SQL with the ability to transform raw data into business-ready data models using DBT.
Working knowledge of a scripting language such as Python or R.
Experience with Version Control software, data automation, and dashboard tools.
Ability to translate business requests into actionable project requirements.
Basic knowledge in GAAP accounting and standard accounting procedures and processes.
Proficient in NetSuite or similar ERP systems.
Understanding of data governance, financial compliance (e.g., SOX), and security best practices.
Excellent written and verbal communication skills; ability to present complex financial information to senior leadership.
Attention to detail, and ability to thrive in a fast-paced, deadline-driven environment.
US Military Veteran is a plus.
Position Type/Expected Hours of Work/Physical Requirements
This is a full-time position and may require long hours and may require weekend and nights work per events.
While performing the duties of this job, the employee is regularly required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard reach, stoop kneel to install computer equipment.
Specific vision abilities required by this job include close vision requirements due to computer work.
Light travel may be required.
Regular, predictable attendance is required
Moderate noise (i.e. business office with computers, phone, and printers, light traffic).
Ability to sit at a computer terminal for an extended period of time.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
