{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Nicholas Williams","label":"Data Analyst II","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/b079b2b7-48e3-4bdd-b920-b162e61089ce/linkedin-1791660494785.jpg","summary":"Data professional with 5+ years building governed data products and modernizing analytical environments. Most recently built a dbt and Snowflake foundation with an Omni semantic layer at REMI that standardized definitions and lineage across several departments.","location":{"city":"Salt Lake City, UT, United States"},"profiles":[{"network":"LinkedIn","username":"nicholas-williams5","url":"https://linkedin.com/in/nicholas-williams5"}]},"meta":{"canonical":"https://saywise.com/member5066","version":"v1.0.0","lastModified":"2026-10-10T19:28:41.583Z"},"x_saywise":{"handle":"member5066","pronouns":null,"availability":null,"oneLiner":"Data professional with 5+ years building governed data products and modernizing analytical environments. Most recently built a dbt and Snowflake foundation with an Omni semantic layer at REMI that standardized definitions and lineage across several departments.","profileUrl":"https://saywise.com/member5066","markdownUrl":"https://saywise.com/member5066/profile.md","pdfUrl":"https://saywise.com/member5066/resume.pdf","archetype":{"code":"HB-MX","name":"All-Terrain Artisan","url":"https://saywise.com/sca/81b696374e96","rarity":"One of the first All-Terrain Artisans on Saywise"}},"work":[{"name":"REMI (YC W22)","position":"Data Analyst II - Analytics Engineering & Applied AI","location":"Lehi, UT","url":"https://remihq.com","startDate":"2025-06-01","endDate":"2026-08-01","summary":"Built a dbt-based semantic layer across Snowflake and Omni, documenting model definitions, lineage, and business meaning. Built or materially improved 50+ dbt models across Finance, pricing, Sales, claims, and Operations, moving repeated dashboard logic into reusable datasets. Designed governed self-service analytics agents used by 40 employees across five departments, reducing inbound data-team requests 22%. Created REMI's first financial snapshots and showed that mutable records were causing historical reporting drift."},{"name":"MX","position":"Data Analytics, Lead","location":"Lehi, UT","url":"https://mx.com","startDate":"2021-04-01","endDate":"2025-04-01","summary":"Maintained and improved a transaction data engine processing about 130M transactions per day. Led a transaction-location initiative that raised physical-location accuracy from 83% to 91%. Used Python automation to reduce analyst dependence on Engineering."},{"name":"Utah Valley University","position":"Ungraduate Research Asistant","location":"Orem Utah","url":"https://uvu.edu","startDate":"2019-09-01","endDate":"2020-03-01","summary":"Working on cancer detection and classification using lasers and ultrasound, coupled with CNN. -Python, Pytorch, Keras, C++"},{"name":"UVU Chess Club","position":"Co President","startDate":"2019-08-01","endDate":"2021-09-01"},{"name":"Aquaveo","position":"Software Testing Intern","location":"Provo, Utah Area","url":"https://aquaveo.com","startDate":"2019-05-01","endDate":"2021-04-01","summary":"Recreated production environments and maintained automated tests. Documented defects and gave developers usability and performance recommendations."}],"education":[{"institution":"Utah Valley University","studyType":"Bachelor of Applied Science - BASc in Computer Science","startDate":"2018-01-01","endDate":"2021-06-01"},{"institution":"Utah State University","studyType":"Associate's degree in Computer Science","startDate":"2015-01-01","endDate":"2018-01-01"}],"skills":[{"name":"Google Cloud Platform (GCP)"},{"name":"Financial Analysis"},{"name":"Management"},{"name":"Project Management"},{"name":"Team Management"},{"name":"Computer Science"},{"name":"Transaction Monitoring"},{"name":"Data Quality"},{"name":"OpenSearch"},{"name":"Big Data"},{"name":"C++"},{"name":"Python (Programming Language)"},{"name":"Communication"},{"name":"Github"},{"name":"Linux"},{"name":"Microsoft Office"},{"name":"MatLab"},{"name":"C#"},{"name":"Selenium WebDriver"},{"name":"Pandas (Software)"},{"name":"Java"},{"name":"advanced SQL"},{"name":"dbt"},{"name":"Snowflake"},{"name":"Omni"},{"name":"dimensional modeling"},{"name":"facts and dimensions"},{"name":"shared measures"},{"name":"semantic layers"},{"name":"financial snapshots"},{"name":"reusable data products"},{"name":"dbt tests"},{"name":"Great Expectations"},{"name":"lineage"},{"name":"metadata"},{"name":"documentation"},{"name":"observability"},{"name":"access controls"},{"name":"CI/CD"},{"name":"code review"},{"name":"release workflows"},{"name":"BigQuery"},{"name":"Vertica"},{"name":"PostgreSQL"},{"name":"REST APIs"},{"name":"scheduled ingestion"},{"name":"architecture leadership"},{"name":"cross-functional design"},{"name":"technical mentorship"}],"certificates":[{"name":"Learning Java 17","date":"2023-11-01","issuer":"LinkedIn"}]}