Data Analyst III, Finance Resume Tyler Howard Data Analyst III, Finance (512) 555-4186 tyler.howard@example.com linkedin.com/example/tylerhoward Round Rock, TX 78664 STRENGTHS Quiet quality control Built validation checks that surfaced anomalies before reports reached management, earning trust through consistent follow through. Clear technical translation Turned complex query findings into practical summaries. Stakeholders could act without needing to decode the underlying logic. Steady reconciliation work Followed unmatched items back to source records. Small discrepancies received patient attention until results made sense. Respect for sensitive data Applied role based access and controlled distribution to confidential records, helping teams work safely without slowing decisions. Accessible reporting Structured Office and PDF deliverables for WCAG 2.1 AA and Section 508, making useful information easier to reach. SKILLS SQL Python Financial analysis Data quality Data integrity Data reconciliation Statistical modeling Data visualization Access auditing Security controls Process improvement Budget reporting General ledger reporting Chart of accounts Technical reporting LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER 8.1 Years Senior Financial Data Analyst at Blue Mesa Financial Systems (3.5 Years) Financial Data Analyst at Lone Star Analytics Group (2.2 Years) Data Analyst at Hillcrest Business Solutions (1.5 Years) Junior Data Analyst at Prairie Oak Services (11 Months) SUMMARY Data Analyst with seven years of progressive experience turning financial, human resources, and operational records into accurate reporting and practical decisions. Work includes SQL extraction, Python scripting, SAS analysis, TOAD profiling, Excel reconciliation, BusinessObjects reporting, chart of accounts maintenance, general ledger reporting, budget analysis, EDI formatting, access reviews, and confidential data controls. Builds repeatable datasets, automated checks, and documented workflows that reveal anomalies, redundancies, and reconciliation breaks before they affect management reporting. Partners with finance, audit, security, and program stakeholders, explaining technical findings in clear language and managing competing priorities with steady attention to quality. Creates accessible Office and PDF deliverables aligned with WCAG 2.1 AA and Section 508 practices. This background supports reliable financial systems , stronger controls, and timely analytical decisions. EXPERIENCE Senior Financial Data Analyst Blue Mesa Financial Systems April 2023 - Present Round Rock, TX Lead financial data analysis , reconciliation, reporting, access control, and data quality work across enterprise finance, HR, and subsidiary applications. Support monthly close, audit requests, management reporting, reference structures, and accessible technical deliverables while guiding practical improvements for finance and system owners. Led general ledger, budget, HR, and subsidiary reconciliation for monthly close and audit reporting. Built SQL and Python routines with validation checks for repeatable enterprise data extraction . Maintained chart of accounts mappings and hierarchy tables through controlled combination testing. Reviewed finance application roles, documented conflicts, and routed access control recommendations. Developed Excel and BusinessObjects reports that exposed anomalies and duplicate source records. Produced WCAG 2.1 AA and Section 508 compliant Office and PDF deliverables. Financial Data Analyst Lone Star Analytics Group January 2021 - March 2023 Georgetown, TX Analyzed public sector financial information through SQL extraction, Excel reconciliation, SAS profiling, TOAD analysis, audit support, and controlled handling of confidential records. Translated data quality findings into concise recommendations for finance and program stakeholders, with quiet attention to traceability and repeatable review. Analyzed budget and general ledger extracts with Excel models for recurring financial reporting. Profiled financial datasets in SAS and TOAD , isolating unusual values for source review. Prepared traceable audit datasets with query logic, field definitions, and validation notes. Created automated account checks that reduced manual comparisons during monthly reconciliation cycles. Applied role based access and controlled distribution practices to confidential analytical records. Presented data quality findings through concise visualizations and technical recommendations. Data Analyst Hillcrest Business Solutions June 2019 - December 2020 San Marcos, TX Queried financial and operational databases for recurring reporting, ad hoc analysis, reconciliation, and management requests. Developed maintainable Excel and Python workflows, researched inconsistent records, and prepared clear Word and PowerPoint materials for technical and nontechnical audiences under competing deadlines. Queried financial databases with SQL for ad hoc analysis and recurring reporting. Built advanced Excel models with lookups, pivots, and validation controls for reconciliation . Developed Python scripts for file consolidation and repeatable data quality checks. Researched inconsistent records and prepared correction recommendations using transaction detail. Created Word and PowerPoint summaries that clarified findings for mixed audiences. Managed competing reporting deadlines through priorities, validation steps, and review checkpoints. Junior Data Analyst Prairie Oak Services June 2018 - May 2019 Temple, TX Prepared finance and operations data under senior analyst review, supporting reconciliation, recurring Excel reporting, foundational SQL work, quality logs, and confidential file handling. Documented sources and validation steps so routine analytical handoffs became easier for colleagues to follow. Standardized finance fields and documented exceptions before recurring analytical work. Wrote foundational SQL queries comparing transaction totals across reporting periods. Traced unmatched ledger items to source records for finance team resolution. Maintained Excel reports and quality logs with consistent field definitions. Applied approved confidentiality procedures when distributing sensitive financial files. Created process notes and flow diagrams clarifying sources, checks, and handoffs. PROJECTS Financial Data Quality Automation 2024 Small improvements can change daily confidence. Built repeatable SQL and Python checks for account combinations, duplicate records, hierarchy values, and reconciliation exceptions across enterprise financial sources. Documented inputs, validation logic, exception handling, and review steps so analysts could investigate findings with less manual effort. Accessible Financial Reporting 2023 Clear reporting gives careful work a wider reach. Created structured Excel, Word, PowerPoint, and PDF deliverables using WCAG 2.1 AA and Section 508 practices. Organized headings, tables, labels, and reading order so financial findings remained usable for varied audiences. LEADERSHIP & AWARDS Recognized by finance stakeholders for dependable reconciliation support and clear audit documentation. Selected by project teams to explain data quality findings and practical correction options. Provided informal leadership through repeatable validation notes, process guidance, and peer support. EDUCATION Bachelor of Science in Management Information Systems Texas State University GPA: 3.5 2018 San Marcos, TX Coursework: Database systems, financial management, statistics, systems analysis, programming CERTIFICATIONS Microsoft Learn: Analyze Data with Power BI 2022 Python for Data Analysis Certificate, University Continuing Education 2020 TECHNICAL SKILLS Query and Scripting: SQL, Python, R, Visual Basic Statistical Analysis: SAS, statistical tools, statistical modeling Database Tools: TOAD, database queries, data extraction Microsoft Office: Excel, Word, PowerPoint Financial Reporting: BusinessObjects, general ledger reporting, budget reporting Enterprise Systems: PeopleSoft, financial systems, HR systems Financial Structures: Chart of accounts, account combinations, system hierarchies Data Governance: Data quality, data integrity, reference structures Security Controls: Access auditing, role reviews, access certifications Data Integration: EDI layouts, IRS formatting, electronic interfaces Automation: Automated workflows, validation checks, process improvement Accessibility: WCAG 2.1 AA, Section 508, accessible PDFs SKILLS SQL Python Financial analysis Data quality Data integrity Data reconciliation Statistical modeling Data visualization Access auditing Security controls Process improvement Budget reporting General ledger reporting Chart of accounts Technical reporting PROFESSIONAL AFFILIATIONS Professional interest in public sector financial data quality, transparent reporting, and responsible stewardship. Ongoing connection with analytics, finance systems, accessibility, and information governance communities. LANGUAGES English (Native) Spanish (Intermediate) ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. ADDITIONAL INFORMATION Work Status : Authorized to work in United States. No sponsorship required. REFERENCES AVAILABLE ON REQUEST
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