Senior Data Analyst
SQL-heavy analysis, dashboarding, KPI ownership, data quality, stakeholder-facing insights, and executive-ready reporting.
Data science portfolio
Mark de la Cruz
Senior analytics professional bridging data engineering, product-style reporting, and stakeholder decision support. I turn messy operational data into trusted datasets, dashboards, and data stories that help teams act with confidence.
Snapshot
Positioned for senior data analyst, analytics engineering, and applied data science roles.
My strongest fit is for teams that need someone who can own the full analytics loop: understand ambiguous stakeholder questions, build the SQL/Python or low-code data processing path, validate the numbers, create self-service reporting, and communicate what the data means to technical and non-technical audiences.
Recruiter fit
Roles I am targeting
Product or Customer Analytics
Translating business questions into metrics, reporting infrastructure, behavioral or operational analysis, and decision frameworks.
Research Data Scientist
Regression, statistical analysis, observational data collection, quantitative narratives, and evidence-based recommendations.
Analytics Engineer / Data Engineer
ETL, data modeling, validation, pipeline documentation, automation, and reliable datasets for downstream reporting.
Selected work
Resume-backed analytics work
18K
field inputs processed
Self-Service Contractor Performance Reporting
Designed a Power App, Dataverse, and Power BI workflow that gave stakeholders a structured way to monitor contractor quality, field evaluations, and work-order anomalies across regional SCE hubs.
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98%
compliance rate
Utility Risk Exception Analytics
Built SQL, Python, and Power BI workflows to clean equipment failure data, isolate exception concentrations, validate reporting quality, and help prioritize safety and wildfire-risk mitigation work.
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20+
data interns led
Litigation ETL and Quantitative Modeling
Engineered ETL pipelines for enterprise-scale relational datasets, supported regression analysis, and helped turn complex client data into defensible analytical narratives for legal and business stakeholders.
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Experience
Senior Data Analyst, Substation Project Management - Southern California Edison
Built cross-functional Power App, Dataverse, and Power BI tools for contractor performance, substation infrastructure upgrades, executive reporting, data quality, and CPUC compliance decision-making.
Senior Data Analyst, Data Management Oversight - Southern California Edison
Developed SQL and Python processing scripts, automated dashboards, and KPI tools to track equipment failures, repair delays, compliance exceptions, and wildfire mitigation priorities across complex operational source systems.
Analyst, Wage & Hour Litigation Consulting - Resolution Economics
Built ETL pipelines with Python and SQL, performed regression and summary-statistical analysis, and led data cleaning protocols for a 20+ intern team in a consulting environment where data quality had legal and economic consequences.
Toolkit
Skills
Analysis
Risk analytics, KPI design, exception analysis, regression, summary statistics, time series.
Data Pipelines
ETL, SQL scripting, Python automation, data validation, data modeling, repeatable reporting flows.
Platforms
Power BI, DAX, Power Apps, Dataverse, SAP, Citrix, Snowflake, BigQuery, Tableau, Looker.
Communication
Executive presentations, product-style analytics, regulatory reporting, stakeholder translation, field context.
Contact
Let's connect.
I am interested in data science, quantitative risk, analytics engineering, and infrastructure decision-support roles.