Data Solutions and Analytics Senior Analyst Resume


Jett Payne Data Solutions and Analytics Senior Analyst (512) 555-2846 jett.payne@example.com linkedin.com/example/jettpayne Austin, TX 78759 STRENGTHS Risk analysis Traced unusual account and workflow patterns with SQL, helping investigation teams focus review on meaningful signals. Pipeline delivery Built repeatable Python, Spark, and Airflow workflows for controls and reconciliations. Teams gained steadier review cycles. Clear visualization Turned process volume, alert status, aging, and system indicators into dashboards partners could use during reviews. Practical mentoring Guided analysts through code review, statistics, pipeline design, and visualization. Peers returned for help with difficult cases. Responsible automation Applied language model support with human validation and traceable summaries. That balance kept workflow improvements practical. SKILLS Python Spark Airflow Complex SQL Data pipelines Risk alerts Dashboards Visualization LLMs Generative AI Statistical analysis Exploratory analysis Reconciliations Detective controls Compliance analytics LANGUAGES English Native 40 Spanish Intermediate 20 MY CAREER SUMMARY Senior data solutions and analytics professional with seven years of progressively responsible experience supporting financial technology, risk, compliance, and operations through scalable data products. Builds Python, Spark, Airflow, and SQL pipelines that convert large operational datasets into reliable controls, reconciliations, alerts, and reporting. Applies exploratory and statistical analysis to identify anomalies, risk signals, process patterns, and operational opportunities. Creates dashboards and visualizations that help Product, Engineering, Compliance, and Operations teams assess system health and make informed decisions. Develops supervised workflow automation using Generative AI and large language models, with attention to traceability, validation, and data quality. Leads delivery from problem framing through deployment and monitoring, mentors analysts, and connects technical decisions with business outcomes. EXPERIENCE Senior Data Analytics Engineer Pioneer Fintech Systems July 2023 - Present Austin, TX Owns analytics for transaction monitoring, customer servicing, reconciliations, and product health across high volume financial technology datasets. Leads pipeline delivery, investigation analysis, dashboard development, supervised language model workflow automation, and analyst mentoring. Built Python and Spark transformations in Airflow, producing repeatable controls and reconciliation outputs. Traced account and workflow anomalies with complex SQL, supporting faster investigation review and resolution. Created operational dashboards with trend views and drill down diagnostics for exception review teams. Developed LLM assisted case classification, producing structured summaries for human validation and traceability. Mentored analysts on pipeline design, statistics, code review, visualization, and cross functional delivery. Data Solutions Analyst Harborline Financial Technology March 2021 - June 2023 Dallas, TX Developed operational data solutions for controls, reconciliations, risk analysis, reporting, and process health. Partnered with Product and Engineering on requirements, validation, workflow automation, and downstream impact assessment. Developed Python, Spark, Airflow, and SQL pipelines for operational controls and account reconciliations. Identified recurring exception patterns through exploratory analysis, informing risk mitigation planning and prioritization. Applied statistical methods to separate normal variation from unusual activity during validation reviews. Built dashboards combining process volume, alert status, aging, and system indicators for operations reviews. Automated recurring preparation and reporting through parameterized workflows, improving consistency across review cycles. Partnered with Product and Engineering to validate upstream and downstream impacts before delivery. Data Analyst Crescent Bay Digital Finance June 2019 - February 2021 Plano, TX Analyzed customer and operational data for reporting, exception investigations, reconciliation workflows, and maintained analytics solutions. Supported data quality, testing, documentation, and communication with nontechnical partners. Analyzed customer and operational data with SQL and Python for reporting and exception investigations. Built reusable SQL transformations joining account, event, and workflow records with data quality checks. Produced visual analyses that explained complex operational patterns for nontechnical partners and reviewers. Created scheduled reporting workflows with reconciliation checkpoints and traceable output history. Investigated unusual records and operational bottlenecks, escalating validated findings for follow up. Contributed peer reviews, documentation, and testing as analyses moved into maintained solutions. PROJECTS Risk Signal Operations Hub 2024 Small signals can reveal large process issues. Built a distinct analytics concept for combining risk alerts, reconciliation status, operational indicators, and dashboard views into one review experience for cross functional teams. Language Model Case Review Workflow 2025 Automation earns trust when people can inspect its work. Developed a separate workflow concept for classifying case context, drafting structured summaries, and preserving human validation across compliance operations. LEADERSHIP & AWARDS Senior analyst recognition for ownership of financial technology analytics, controls, and reconciliation delivery. Peer mentor recognition for practical guidance on Python, Spark, statistics, visualization, and code review. Leadership contribution through cross functional delivery with Product, Engineering, Compliance, and Operations teams. EDUCATION Bachelor's Degree in Computer Science Texas State University GPA: 0 2019 San Marcos, TX Coursework: Data Structures, Database Systems, Statistics, Software Engineering CERTIFICATIONS Google Advanced Data Analytics Professional Certificate 2024 Databricks Academy Apache Spark Developer Learning Plan 2025 TECHNICAL SKILLS Programming Languages: Python, SQL, PySpark Data Processing: Apache Spark, Spark SQL, DataFrames Workflow Orchestration: Apache Airflow, DAGs, Scheduled workflows Database Analysis: Complex SQL, Joins, Aggregations Analytics Methods: Exploratory data analysis, Statistical analysis, Anomaly analysis Risk Operations: Risk indicators, Risk alerts, Detective controls Financial Controls: Reconciliations, Exception review, Traceability Business Intelligence: Dashboards, Trend views, Drill down analysis Artificial Intelligence: Generative AI, Large language models, LLM assisted workflows Data Quality: Validation checks, Data quality checks, Testing Reporting Systems: Operational reporting, Scheduled reporting, Parameterized workflows Stakeholder Platforms: Product analytics, System health, Process health SKILLS Python Spark Airflow Complex SQL Data pipelines Risk alerts Dashboards Visualization LLMs Generative AI Statistical analysis Exploratory analysis Reconciliations Detective controls Compliance analytics PROFESSIONAL AFFILIATIONS Financial technology analytics community, connecting data practitioners around controls, reconciliations, and operational reporting. Data engineering peer network, sharing practical guidance on Spark pipelines, SQL analysis, testing, and visualization. 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