Abiyu Aserese

Senior Data Analyst @ Robinhood

About

Senior Data Analyst with 5+ years of experience delivering data-driven insights, executive dashboards, and automated reporting solutions across banking, fintech, and enterprise environments. I specialize in transforming large, complex datasets into clear, actionable insights that support leadership decision-making. My background spans SQL-driven analytics, Python-based analysis, Power BI & Tableau dashboards, and cloud data platforms including Snowflake, Azure, and AWS. At a senior level, I partner closely with product, operations, risk, and executive stakeholders to define KPI frameworks, perform trend and root-cause analysis, and deliver analytics solutions that improve efficiency, visibility, and business outcomes. Core strengths include: Executive & KPI dashboard development (Power BI, Tableau) Advanced SQL analytics (CTEs, window functions, performance tuning) Python data analysis (Pandas, NumPy, visualization) Cloud analytics platforms (Snowflake, Azure Synapse, AWS Redshift) Automated reporting & data quality validation I thrive in fast-paced, data-driven environments where analytics directly influences strategy, risk management, and operational performance.

Country

United States

City

Denver Metropolitan Area

Industry

Banking

Skill

Engineering Data Management, Data Architects, Data Loading, Statistical Data Analysis, Business Analysis, Machine Learning, Advanced Excel, Microsoft Excel, Statistical Modeling, Exploratory Data Analysis, TensorFlow, Scikit-Learn, Seaborn, Matplotlib, Pandas (Software), NumPy, Tableau, Microsoft Power BI, Kubernetes, Docker Products

Experience

Senior Data Analyst

Robinhood

2024-1 - Present · 2 yrs 9 mos

Designed and delivered executive-level dashboards in Power BI to track operational KPIs, risk indicators, and performance metrics across banking functions. Developed advanced SQL queries and analytical datasets supporting ad-hoc analysis, monthly reporting, and executive scorecards. Analyzed 10TB+ of monthly transactional and operational data, identifying trends, anomalies, and performance gaps impacting business outcomes. Built automated reporting workflows using SQL and Power BI datasets, reducing manual reporting effort by 40%+. Conducted trend, variance, and root-cause analysis to support risk management, compliance, and operational optimization initiatives. Partnered with product, operations, and leadership teams to define KPI frameworks and metric definitions aligned with business objectives. Presented insights and recommendations during monthly and quarterly executive reviews.

Data Analyst

Bank of America

2021-9 - 2023-11 · 2 yrs 3 mos

South Carolina, USA

Developed SQL-driven analytical models to support financial reporting, risk analysis, and operational performance tracking. Built Power BI and Tableau dashboards visualizing trends, KPIs, and business performance for leadership and operational teams. Analyzed high-volume datasets using SQL and Python, uncovering insights that improved reporting accuracy and decision-making. Performed time-series and comparative analysis to identify performance trends and efficiency opportunities. Collaborated with data engineering teams to improve data availability, quality, and analytics readiness. Supported enterprise migration initiatives by validating data accuracy and continuity across cloud analytics platforms.

Junior Data Analyst

AmerisourceBergen

2019-1 - 2021-8 · 2 yrs 8 mos

Analyzed large healthcare and customer datasets using Python (Pandas, NumPy) and SQL to support analytics and reporting initiatives. Built Tableau dashboards to visualize customer trends, churn metrics, and operational KPIs, reducing reporting turnaround time by 15%. Conducted exploratory data analysis (EDA) to identify key patterns, correlations, and high-value customer segments. Developed and evaluated predictive analytics models (Logistic Regression, Random Forest) to support customer retention strategies. Partnered with data engineering teams to improve ETL logic and data quality, reducing processing issues by 25%.