Data Analyst - Causal Inference & Pricing Analytics Expert

TYLER MITTAN

Chattanooga Atlanta

585-***-**** ***********@*****.*** linkedin.com/in/tyler-m-42651425

Proving microeconomics through economic reasoning, data, and causal modeling.

PROFESSIONAL SUMMARY

Results-driven Data Analyst with 4+ years of experience leveraging advanced economic theory and Causal Inference to drive strategic decision-making and quantify ROI. Proven ability to implement Python automation, reduce reporting time by 60%, and utilize SQL, Tableau, and Google Analytics 4 (GA4) to optimize revenue strategies, notably increasing category profit margins by up to 25%. Currently pursuing an M.S. Analytics degree at Georgia Institute of Technology to further his forecasting knowledge, complement his causal inference training, and finally, specializing in translating complex data into actionable business process improvements.

SKILLS & ADVANCED ANALYTICS

Technical Stack: Python, SQL, Stata, Tableau, Power BI, Google Analytics 4 (GA4), HubSpot, Constant Contact, BitBucket.

Core Competencies: Pricing Analytics, Forecasting, Linear and Logistic Regression, Causal Inference, Data cleaning & pipeline development, Segmentation & cohort analysis, Scenario modeling, Experiment design and evaluation, A/B testing, Extract, Transform, Load (ETL) processing, Understanding Agile/Scrum collaboration.

PROFESSIONAL EXPERIENCE

Pinnacle Wine & Liquor - Business Analyst Rochester, NY 2020-2024

●Designed pricing strategy using elasticity concepts that increased category profit margins 10-15% while minimizing volume loss.

●Optimized shipping data analysis, resulting in a 15-20% increase in profits on shipping orders.

●Analyzed SKU-level web sales performance and accomplished higher profit margins, as high as 25%, while still maintaining a very small drop in quantity demanded.

●Built Tableau dashboards tracking product performance, price tests, and online/offline sales mix.

●Assisted with forecasting inventory needs based on seasonal and promotional demand patterns, optimizing purchasing and ordering.

Gaylord Archival - Web Marketing Analyst Remote 2022-2023

●Automated weekly reporting via Python + Excel, reducing manual report time by ~40% and improving decision turnaround.

●Used GA4 + Excel to refine email audience targeting and reduce wasted marketing spend.

●Conducted promotional performance analysis leading to strategic campaign shifts and improved ROI.

●Cleaned, structured, and validated large product datasets for catalog accuracy and search optimization

Consultant (Health & Nutrition App Startup) - Data & Product Analyst Remote 2018-2020

●Built Extract, Transform, Load (ETL) workflows integrating nutrition APIs into product databases to support model development.

●Wrote SQL queries to validate scoring logic and user intake patterns.

●Contributed to Agile development: user stories, backlog grooming in BitBucket, collaborative QA cycles. We did not use Jira. We utilized the concepts of Agile.

●Conducted early-stage user analytics, along with a team of doctors and nutritionists, for a successful medical pilot reducing kidney stone-risk nutrients.

TECHNICAL PROJECTS

Repeat Customer Predictive Model

●Developed logistic regression model using purchasing behavior + geographic income proxies to identify drivers of customer retention.

●Visualized feature importance through coefficient charts for business stakeholders.

Pricing Elasticity Analysis

●Modeled price-volume tradeoffs to determine optimal pricing ranges that raised gross margin performance without losing high-volume products.

EDUCATION

University of Rochester George Mason University Georgia Institute of Technology

B.A. Economics M.A. Economics M.S. Analytics

201*-****-**** (estimated)

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