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Chris Selig, MBA
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PROFILE
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Name
Chris Selig, MBA
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Headline
Senior Advisor, Analytics & AI
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Location
Calgary, AB, Canada
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Summary
I build data pipelines, dashboards, models, and automation for organizations that would prefer fewer manual processes and fewer mystery spreadsheets. My background spans data engineering, analytics, business intelligence, reporting, and statistical analysis, so I'm just as comfortable cleaning up upstream data as I am turning it into something useful downstream. I work mainly in Python, SQL, Databricks, Spark, Power BI, and R, and I'm also comfortable with Excel, KNIME, Spotfire, Power Automate, Azure Data Factory, and Synapse. These days, I also use AI tools like Claude Code, GitHub Copilot, Microsoft 365 Copilot, and ChatGPT as part of how I work — whether that's accelerating development, pressure-testing ideas, or helping turn rough concepts into usable solutions faster. Most of my work has been about turning scattered, awkward, or stubborn data into something reliable, practical, and decision-friendly. I like solving messy problems, building things that people actually use, and quietly retiring bad manual processes whenever possible.
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KEY STATS
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Years in data & analytics
18+
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Companies & consulting clients
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Industries served
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Tools mastered
20+
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EXPERIENCE
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2024 – Present
Senior Advisor, HR Data & Analytics — Cenovus Energy
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Developed data pipelines, data models, reports, and conducted statistical analysis in the Human Resources space using Databricks, Claude Code, GitHub Copilot, Python, Spark, R, and Power BI.
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Built and maintained the entire HR data model using Python, PySpark, and Databricks — saving significant time in both validating data and developing new data products.
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Developed an automated People Metrics Power BI dashboard that lets the enterprise see and action their HR metrics.
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Built an Excel-based compensation model for HR Operations that streamlined on-demand data pulls for divestitures, cutting manual effort.
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Completed the WFP waterfall variance table, letting plan owners quickly identify and review budget variances.
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Identified and remediated a data access issue, strengthened permissions, and implemented automated monitoring for permission changes.
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Developed an AI-based model that reads different file formats and extracts the data into tables — saving end users 4 days of work each time new files were sent to the team.
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2018 – 2024
Data Science & Analytics Consultant (Contractor / Freelancer) — Bidamia Inc.
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2022 – 2023
Founder, Co-CEO — SELICA Analytics Inc.
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EARLIER CAREER
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2017
Business Intelligence Analyst — Western Financial Group
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Developed an analysis report in Spotfire that allowed management to understand the change in active policies versus the change in revenue for the brokerage.
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Developed an automated Excel/VBA/SQL-based model to forecast both revenues and expenses for the branch offices, using a weighted-average method that significantly reduced forecasting time.
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Developed a Tibco Spotfire based analysis dashboard for executives to show how changes in policy counts related to changes in revenue.
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Developed, using R, a customer-segmentation model (k-means clustering) to group similar customers for marketing efforts.
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Developed a Cognos Report Studio report to help transition and track 14,000 customers as they moved to a new product, ensuring key customers were contacted about product changes.
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2016 – 2017
Data Analyst — GardaWorld
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Developed a Power BI dashboard tracking airport security screening-officer training, visualizing metrics including — for the first time — statistics per training specialist: time spent training, what training was provided, and when.
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Through R/RStudio, developed an analysis to quantify and visualize data-submission errors from the divisions for the first time, helping focus training initiatives.
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2008 – 2016
Long Range Planning Analyst / Business Analyst / Business Analyst – Systems — ConocoPhillips Canada
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Reduced Essbase database turnaround time from 5 days to 2 hours through automation of the Excel data models.
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Reduced data submission times from 1 day to 15 minutes by developing an automated Excel model that used VBA to extract data from databases.
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Significantly reduced database load errors by end users through streamlined Excel data load templates.
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Trained finance members on correct Essbase processes, significantly reducing data load errors.
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Reduced errors and turnaround time of a manually maintained Excel dashboard by replacing it with an automated Spotfire dashboard, giving management on-demand access to financials.
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Developed a financial analysis dashboard in Spotfire that flagged accounting coding errors through vendor agreement comparisons against invoiced general ledger accounts.
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Reduced operating expenditure forecast time from 6 hours to 30 minutes by developing an Excel-based data model that retrieved data from one database, layered on user-selected inputs, and exported the forecast.
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Developed an Excel-based planning data model using VBA and SQL to extract data from Oracle for various scenarios, compiling it into presentation-ready visualizations.
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Reduced data compilation time from 3+ hours to 5 minutes through an Excel-based data model that used VBA and SQL to extract data from an Oracle database.
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2006 – 2008
Assistant Manager / Store Manager — Liquidation World
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Managed day-to-day store operations of a top-5 sales store, including human resources functions, merchandising, and customer service.
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Promoted to Store Manager within 6 months of hire.
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SKILLS
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R
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Python
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Excel / VBA
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Power BI
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Databricks
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Spotfire
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SQL
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RStudio
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Spark
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AWS
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Power Automate
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Azure
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Essbase
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KNIME
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Cognos
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Tableau
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EDUCATION
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Certificate in Analytics for Data Science
Institute for Statistics Education
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Certificate in Business Intelligence and Analytics
University of Calgary
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Master of Business Administration (MBA)
Dalhousie University, Halifax, NS
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Bachelor of Arts (BA)
Acadia University, Wolfville, NS