JORDAN RIVERA
Austin, TX | jordan.rivera@example.com | (555) 014-8841 | portfolio.example.com
1Professional Summary
Data analyst with 3+ years of experience using SQL, Excel, Python, and BI dashboards to improve reporting quality and support operational decisions. Skilled in translating stakeholder questions into clear metrics, validated datasets, documented methods, and practical recommendations.
2Technical Skills
SQL · Python · Excel · Power Query · Tableau · Power BI · Data validation · KPI reporting · Dashboard design · Data documentation
3Professional Experience
Data Analyst | Cedar Operations Group | Austin, TX
Mar 2023 – Present
- Built and maintained 12 stakeholder dashboards for customer, operations, and service metrics using SQL and Power BI.
- Unified recurring reporting inputs from four data sources and documented validation checks for high-impact fields.
- Reduced manual weekly reporting time by 20% by standardizing data preparation, refresh steps, and dashboard QA.
- Partnered with operations leaders to define metric logic, investigate exceptions, and present findings in plain language.
Reporting Analyst | Metro Services | Austin, TX
Jul 2021 – Feb 2023
- Prepared Excel and SQL reports for operations reviews and investigated data exceptions with business partners.
- Translated recurring stakeholder questions into documented metrics and reusable reporting templates.
- Used Power Query to clean recurring source files and surface missing or inconsistent values before reporting deadlines.
Data Operations Intern | Hill Country Utilities | Austin, TX
Jun 2020 – Jun 2021
- Supported data cleanup, spreadsheet quality checks, and monthly reporting requests under analyst guidance.
- Documented source definitions and handoff steps so recurring reports could be reproduced by the team.
4Selected Project
Service-Request Trend Dashboard | SQL, Python, Power BI
- Combined anonymized service-request extracts, defined weekly volume and resolution metrics, and built a dashboard for trend review.
- Documented source assumptions, cleaning steps, and limitations so readers could distinguish observed patterns from conclusions.
5Education
Bachelor of Science, Information Systems | Texas State University | 2020