Summary
Overview
Work History
Education
Skills
Websites
References
Timeline
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Oyindamola Iwalehin

Fremont,CA

Summary

Experienced Business Analyst with a Master's degree in Business Analytics and a strong background in marketing and sales analytics, data science, and stakeholder management. With over 6 years of experience in utilizing advanced analytical tools and programming languages, I specialize in transforming complex datasets into actionable insights to drive business performance. Proficient in Python, SQL, pandas, and NumPy for data manipulation and analysis, and skilled in developing interactive Tableau and Power BI dashboards for data visualization. Proven track record in managing data pipelines, creating predictive models, and enhancing decision-making processes through data-driven strategies. Adept at collaborating with cross-functional teams, integrating cloud storage solutions, and optimizing data infrastructure. Committed to leveraging analytical skills and technical expertise to support marketing science and business performance analysis in dynamic, fast-paced environments.

Overview

7
7
years of professional experience

Work History

Business Analyst

Alpha Recon
Colorado, United States
09.2022 - Current
  • Utilized Python to transform complex datasets into accessible formats for comprehensive reporting, Machine learning, modeling, analysis, and optimizing data utilization
  • Led the development of Business Objects dashboards and reports using Power BI, enhancing stakeholder decision-making by providing more accurate and timely data and reducing critical decision times from a week to 3 days
  • Actively collaborated with the data science team to integrate Azure Blob Storage within Azure Data Lake
  • This strategic initiative was focused on optimizing the storage and management of large-scale data sets
  • Utilized NumPy, pandas, and Matplotlib for data manipulation and visualization, enhancing the efficiency of data handling processes.
  • Employed for loops and other programming constructs to automate and optimize data tasks.
  • Collaborated closely with Consumer and Engineering teams to write complex code
  • Implemented tools and solutions to improve troubleshooting efficiency and enhance the overall end-user experience
  • Used Power BI in predictive analyses that identified and visualized trends in customer profiles and segments, providing insights into customer interactions, behavior, and compliance by 30%
  • Developed Python scripts within the Azure environment for the compelling reading and processing of data from Parquet folders, ensuring seamless data retrieval and integration for analytics purposes
  • Leveraged my specialized knowledge and leadership skills to determine whether custom data infrastructure or existing data models were more appropriate for each project
  • Made informed decisions to optimize data processing and analysis
  • Used critical thinking and problem-solving skills to analyze information, determine the scope of a problem and how it might impact business operations
  • Designed and maintained comprehensive dashboards to report on Key Performance Indicators (KPIs), supporting business reviews with cross-functional leadership teams
  • Mentored a team to develop unbiased, meaningful intelligence assessments using Power BI, contributing to well-informed strategic decision-making and investment risk mitigation and improving the company's proactive threat response time by 35% through SharePoint
  • Effectively leveraged SAP appraisal tools to conduct team performance evaluations, ensuring fair and motivating reward structures
  • Partnered with the DevOps team in designing and developing an AI-powered chatbot
  • Played a pivotal role in ensuring the chatbot met the specific requirements of stakeholders, delivering an innovative solution that enhanced user engagement and support.

Business Analyst

FLOOD IT! APP
- 12.2022
  • Worked seamlessly with a cross-functional team, particularly with members from the Marketing Department, to align analytics insights with marketing strategies, contributing valuable insights to enhance Search Engine Optimization (SEO) strategies
  • Collaborated on understanding user demographics, engagement patterns, and the impact of in-app purchases on revenue to inform marketing decisions
  • Utilized Google Analytics (GA4) from May 1, 2022, to April 30, 2023
  • Extracted actionable insights related to user demographics, engagement levels, and the correlation between in-app purchases and revenue
  • Developed a customer dashboard using the Explore tab in Google Analytics, prioritizing dimensions and metrics relevant to the stakeholders' goals
  • Emphasized the importance of continuous monitoring to the cross-functional team, providing them with insights for marketing strategies
  • Worked in tandem with product and engineering teams to analyze the impact of data science solutions on product performance and Google-wide metrics
  • Evaluated key metrics such as daily activities, retention, and churn to assess the effectiveness of implemented solutions
  • Ensured that the analysis addressed the primary objectives of the stakeholders, focusing on understanding user behavior, improving user retention, and optimizing revenue generation without suggesting changes to the app's UI/UX design
  • Leveraged Google Keyword Planner for keyword research and Spyfu to understand the competitive landscape in paid search
  • Proposed 5 Keywords for paid search, considering reach, bid prices, and key competitors, aligning with the stakeholders' goal of achieving specific search and click volumes.

Business Analyst

Federal Inland Revenue Service (FIRS)
02.2019 - 09.2022
  • Developed a dashboard in Tableau to visualize intelligence reports on 500+ companies making losses in the fiscal year and connect with government interventions leading to getting incentives to support Energy industries to stay afloat
  • Performed data analytics on payment data using SQL, R & Python to ascertain the completeness of companies' liability and variance analysis to determine outstanding liability owed
  • Mentored and managed a team of 8 to train 60+ customers on using newly innovated filing software integrated with Microsoft tools, boosting productivity and time efficiency by 20%
  • Conducted in-depth research using advanced analytical techniques, successfully identifying underreported volumes and unfulfilled royalty obligations by E&P companies
  • This led to the recovery of deferred revenue in millions of barrels of oil equivalent (BOE), significantly benefiting stakeholders by ensuring fair and accurate financial reporting
  • Created and iterated on analysis prototypes to provide real-time insights and support data-driven decisions
  • Revitalized the exploration permit and licensing process, reducing query response times from 2 weeks to 5 days through enhanced database capabilities using SQL
  • This optimization facilitated faster seismic activities, drilling operations, and overall exploration ventures
  • Developed and iterated on business cases to optimize investment strategies and improve portfolio performance
  • Worked closely with the data science team to implement automation strategies, contributing to developing automated data processes that streamlined workflow and increased operational efficiency
  • Employed advanced Excel capabilities for statistical analysis, focusing on predictive analytics and optimization
  • Utilized various Excel tools to analyze data trends, forecast future outcomes, and identify optimal solutions, supporting data-driven decision-making across the organization
  • Assessed the needs of the business, prioritized projects, and drove new reporting requirements to completion
  • Work cross-functionally as needed to enable data architecture and solutions that best meet the analytics and reporting needs of the business
  • Drive clarity or requirements and ensure delivery meets agreed-upon requirements.

Data Scientist

Banking & Finance
04.2017 - 01.2019
  • Developed and maintained databases using SQL, ensuring data accuracy and consistency and providing comprehensive research services and schedules for Banking and finance Institutions grossing $300m - $10B/year
  • Improved existing relationships from 20% to 40% by ensuring inquiries, audits, and demands for Banking and finance Institutions were prioritized
  • Partnered with the marketing department to implement A/B testing and Google Analytics GA4 to enhance online campaign strategies
  • This collaboration was crucial for understanding and adapting to market trends and increasing Sales
  • Leveraged Power BI to monitor, analyze, and visualize transactional data across various banking platforms, enhancing fraud detection and reducing operational risks for institutions grossing between $300m - $10B/year
  • Collaborated with cross-functional teams to develop and implement data-driven solutions that optimize revenue collection processes for the government
  • Utilized Power BI to monitor and report on KPIs, enhancing decision-making processes for banking and finance institutions
  • Employed power queries in Excel to craft detailed financial dashboards, providing banking and finance institutions with real-time views of key performance metrics, credit risks, and investment portfolios, thus facilitating faster decision-making processes
  • Utilized Azure Databricks to build scalable data processing pipelines, effectively managing vast financial data streams and ensuring seamless integration with existing banking infrastructure
  • Implemented a continuous compliance monitoring system using Power BI to track transactional anomalies and generate actionable insights for stakeholders.

Education

Master of Science, Business Analytics -

Hult International Business School
08.2023

Data Analytics and Visualization Certification -

Accenture (Internship)
08.2023

Bachelor of Arts, Educational Management -

University Of Lagos
11.2016

Project Management & Prince 2 (Training) -

Ciel Consulting
01.2016

Diploma Industrial Leadership and Relationship Management -

University Of Lagos
05.2013

Skills

  • SQL
  • DAX
  • R
  • Python
  • Power BI
  • Tableau
  • SAP
  • GIS
  • Splunk
  • Scala
  • Power Query
  • GA4
  • Numpy
  • Microsoft Project
  • SharePoint
  • Teams
  • Google Sheets
  • Google Analytics
  • CRM Salesforce
  • ERP
  • Excel
  • Word
  • PowerPoint
  • Azure DL
  • Adobe Analytics
  • Azure Data Lake
  • SEO
  • Storage solution
  • Risk Evaluation
  • Project Management
  • Data Pipelines
  • Investment Research
  • Pandas
  • Product Improvement & Development
  • Organizational Leadership
  • Product Management
  • Statistical Analysis
  • Market Trends & Analytics
  • Proficient in creating cross-channel reports and data visualization
  • Business Insights
  • For Loops
  • Sales Analytics
  • Data Structure

References

Reference and project are available on request.

Timeline

Business Analyst

Alpha Recon
09.2022 - Current

Business Analyst

Federal Inland Revenue Service (FIRS)
02.2019 - 09.2022

Data Scientist

Banking & Finance
04.2017 - 01.2019

Business Analyst

FLOOD IT! APP
- 12.2022

Master of Science, Business Analytics -

Hult International Business School

Data Analytics and Visualization Certification -

Accenture (Internship)

Bachelor of Arts, Educational Management -

University Of Lagos

Project Management & Prince 2 (Training) -

Ciel Consulting

Diploma Industrial Leadership and Relationship Management -

University Of Lagos

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Oyindamola Iwalehin