Experienced Data Analyst
Turning Numbers into Insightful Stories.
SQL Expert • Python Developer • Tableau Storyteller • AI Enthusiast • 12 Years Experience
A selection of data visualization projects built with Tableau, designed to tell meaningful stories through data.
Problem: E-commerce teams needed a clearer view of where users drop off in the sales funnel.
This Tableau dashboard tracks user flow from site visit to purchase. It highlights funnel drop-offs, key KPI metrics, and performance trends across product categories, marketing channels, and device types.
Problem: Dynasty managers needed an easier way to track consistency and long-term value across players.
This Tableau dashboard uses 5 seasons of data from the Sleeper API (2019–2024) to visualize weekly performance and positional trends. Users can filter by season, position, and ranking to find key insights.
As a Lead Data Analyst at the U.S. Department of Commerce, I helped build and optimize the BDS Explorer — a national dashboard that tracks job creation and firm startups across the U.S. economy.
I led efforts to automate data pipelines using SQL and Python, improved the reliability of a 45-year time series, and designed interactive visualizations to help economists, journalists, and policymakers explore trends by firm age, industry, and geography.
Visit BDS ExplorerHey, I’m Spencer — a data analyst with 12+ years of experience turning complex datasets into powerful, easy-to-understand stories. I specialize in building scalable dashboards, streamlining data workflows, and uncovering insights that help people make smarter decisions.
I’ve worked with millions of rows of data, led a federal analytics team, and created public-facing dashboards used by journalists, economists, and business leaders. My toolkit includes SQL, Python, Tableau, and just enough R to be dangerous.
Whether it’s cleaning messy datasets, visualizing a 45-year time series, or automating a pipeline that saves hours of manual work — I’m all about creating clean, reliable, and actionable solutions.
Here’s what I bring to the table — technical expertise, analytical thinking, and a passion for solving real problems with data.
Everything starts with a question. Whether it’s “Why are startups declining?” or “Where is job growth strongest?” — I begin by understanding the business challenge.
Using SQL, Python, or SAS, I build repeatable pipelines to structure and clean large datasets — setting the stage for solid analysis.
With a cleaned dataset, I dig deep — uncovering trends, outliers, and stories. I use Tableau and statistical tools to turn numbers into insight.
The end result is a visual story: dashboards, presentations, or datasets that are intuitive, clean, and built for action.
Kind words from teammates, collaborators, and project leads:
“Spencer provides excellent customer service and is exceptionally reliable. He demonstrates unusually good leadership skills and showcases his ability to manage a large-scale program. Spencer is an excellent team player and routinely collaborates with coworkers, creating a highly successful cooperative effort and contributing significantly to the accomplishment of organizational goals.”
— Melissa Kopajtic, Manager
“Spencer is a fantastic colleague. His high technical acumen is paired with an ability to explain difficult concepts in understandable terms. He leads by example and routinely motivates others. Having worked with Spencer for the past three years, I've seen first hand how our team's productivity has benefited from his leadership.”
— Richard Beem, Colleague
Whether you’re looking for a data analyst to join your team, collaborate on a project, or just chat about data — I’d love to hear from you.