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- Full-time
Access to a variety of job opportunities across business and geographies
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…job-related knowledge, geographic location, and other specific business and organizational…
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Senior Financial Analyst
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Senior Analyst, Investment Controls
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Lignetics

Business Intelligence Analyst

Burlington, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

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Description

Reports To: VP of Information Technology; works day-to-day with Commercial leadership

Location: Broomfield, CO / Hybrid

Compensation: $95,000- $125,000 base + 10% annual bonus target based on EBITDA

Job Type: Full Time

Travel Requirements: 5%

About The Role

Lignetics makes consumable products, including heating pellets, animal bedding, and grilling pellets, where demand moves with weather, seasonality, and retailer inventory. As part of the IT team, you will build and maintain the commercial BI environment, analyze the signals that drive demand, and deliver the reporting and insight senior leadership uses to run the business. You will use modern analytics and AI tools to get there faster.

What You Will Do

Build analysis and tools on point-of-sale, on-hand inventory, weather, and internal sales data that signal changes in demand by category, customer, and region.
Surface those signals early (sell-through shifts, inventory build or depletion, weather departures from normal) so the forecast and commercial teams can act on them.
Prepare and present regular sales performance reporting to senior leadership.
Design, build, and maintain dashboards and automated reporting and alerts that reduce manual work.
Integrate data from Salesforce, retailer portals, external sources, and acquired businesses into reliable BI sources.
Own data integrity across BI sources: identify and troubleshoot discrepancies, trace them to root cause, resolve them with source-system owners, and put checks in place so they don't recur. Maintain consistent KPI definitions.
Use AI tools to speed up analysis, coding, and reporting, and validate output before it reaches decision-makers.
Partner with commercial and cross-functional teams on requirements and ad-hoc analysis.

Requirements

What You Bring

Required

3+ years in analytics, BI, or data science supporting sales, revenue, or demand planning, ideally in CPG, retail, agriculture, energy, or another seasonal or consumption-driven business.
Strong SQL and Python or R, plus advanced Excel and Access.
Applied statistics: regression, time series, and trend analysis.
Hands-on experience with a visualization tool such as Tableau or Power BI.
Demonstrated use of AI/LLM tools in real analytical work, with examples you can walk us through.
Track record of diagnosing and fixing data quality issues across multiple source systems.
Ability to explain analysis, and its limits, to non-technical executives in plain language.
Ownership mindset: you take a messy question to a finished answer without being managed step by step.

Preferred

Experience with retailer POS and inventory data (e.g., retailer portals, syndicated data).
Experience analyzing weather- or seasonally-driven demand.
Familiarity with Salesforce and ERP sales data.
Experience with cloud data platforms and pipeline tools.
Experience integrating data from acquisitions/disparate data sources.

What Success Looks Like

90 days: You know our data, categories, and customers; you have validated the core performance reporting and shipped your first automation.
6 months: Demand-signal analysis (POS, on-hand inventory, weather) is live for our major categories and feeding the forecast and pre-season planning cycle.
12 months: Demand shifts are flagged ahead of the forecast, manual reporting time is materially reduced, and leadership relies on your analysis for customer and inventory decisions.

Benefits

Annual Bonus Eligibility
Employee referral bonus program
PTO+ 2 floating holidays
Medical, Dental, and Vision Insurance (FSA & HSA options)
Educational assistance
Life insurance, short term & long-term disability
401(k) with employer match & immediate vesting
Employee heating pellet program
Lignetics SWAG gear to include an annual pair of work boots & other PPE

#IDCorporate

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More about this job

Responsibilities

Build and maintain commercial BI tools, dashboards, automated reporting, and demand-signal analysis using sales, point-of-sale, inventory, and weather data. Ensure data integrity and consistent KPIs, present performance insights to senior leadership, and partner with commercial teams to support forecasting and business decisions.

Requirements

Requires at least three years of analytics, BI, or data science experience supporting sales, revenue, or demand planning, along with strong SQL and Python or R, advanced Excel and Access, applied statistics, and visualization-tool experience. Candidates should demonstrate practical use of AI or LLM tools, experience resolving data-quality issues across systems, and the ability to communicate analysis clearly to executives.

Skills

SQL
Python
R
Advanced Excel
Microsoft Access
Applied Statistics
Regression Analysis
Time Series Analysis
Trend Analysis
Tableau
Power BI
Demand Planning
Data Quality Management
AI and LLM Tools
Salesforce
Executive Communication

Benefits

Annual Bonus Eligibility
Employee Referral Bonus Program
Paid Time Off
Two Floating Holidays
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account
Health Savings Account
Educational Assistance
Life Insurance
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) With Employer Match and Immediate Vesting
Employee Heating Pellet Program
Company Swag and Annual Work Boots

Visa sponsorship

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Keywords

Business Intelligence
Commercial Analytics
SQL
Python
R
Excel
Microsoft Access
Tableau
Power BI
Artificial Intelligence
Large Language Models
Point-of-Sale Data
Inventory Data
Weather Data
Demand Planning
Forecasting
Regression
Time Series Analysis
Trend Analysis
Salesforce
ERP
Data Integration
Data Quality
KPI Definitions
Automated Reporting
Dashboards
Retailer Portals
Cloud Data Platforms
Data Pipelines
Consumer Packaged Goods

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