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Data Analyst Entry

Location:
Lagos Mainland, Lagos, Nigeria
Salary:
$40,000 - $60,000
Posted:
February 15, 2024

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Resume:

AYOMIDE A. OLABODE

Lagos State, Nigeria +***(*)708******* ad3ncn@r.postjobfree.com

https://www.linkedin.com/in/ayomide-abiodun-

5a3249199?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app Summary

I am a passionate detail-oriented Data Analyst with a strong background in transforming complex dataset into actionable insights to support business objectives. My strengths include strong problem-solving abilities and a proven track record of delivering accurate and strategic solutions to drive business objectives. Excellent communication and teamwork abilities, with a passion for leveraging data-driven approaches to inform decision-making and optimize processes. Seeking opportunities to contribute to a dynamic environment, while continuously expanding my skill set in both business and data analytics realms. Skills & Expertise

• Data Analysis

• Statistical / Data Modelling

• Microsoft Excel (Advanced)

• Data Visualization

• Advanced understanding of Power BI

• Proficient in SQL and Python

• Proficient in Powerpoint

• Proficient in Microsoft Office Suite

• Ecxellent communication skills and teamwork abilities

• Creative thinking and problem-solving abilities

EXPERIENCE Data Analyst

NUPAT Technology November 2023 - Present

Lagos, Nigeria

• Utilized SQL, Python, Microsoft Excel, and other tools to manipulate and analyze data efficiently.

• Performed data analysis to extract meaningful insights from large datasets.

• Collected and compiled data from various sources, ensuring data accuracy and completness.

• Cleansed, processed, and transformed data to prepare it for analysis.

• Performed exploratory data analysis to identify trends, patterns, and outliers.

• Ensured data integrity and compliance with privacy regulations.

• Created visualizations and report to communicate key performance indicators, metrics and findings effectively to stakeholders.

• Collaborated with cross-functional teams to provide data-driven insights and recommendations.

• Worked closely with other departments to understand their data needs and provided relevant insights.

• Stay updated with industry trends and best pracctices in data anlysis and technology. Relevant Projects

Client: Superstore – Dealers of Athletic Products

Duration: 1 week

Objective: To visualize key performance indicators, aiding in assessing the profitability of opening Superstores on weekends across various locations. Key Contributions

• Crafted intuitive dashboards using tools like Tableau/Power BI, effectively presenting KPIs such as sales revenue, foot traffic, and average transaction value over weekends for multiple Superstore locations.

• Identified and highlighted critical performance metrics essential for evaluating the profitability of opening Superstores on weekends including sales trends, customer traffic patterns, and revenue generation.

• Collaborated seamlessly with cross-functional teams, including marketing, operations, and management, and facilitated collaborative discussions and strategy sessions to optimize digital marketing approaches aligned with potential weekend operations.

• Presented clear and concise insights derived from the visualizations, facilitating informed discussions and strategy development regarding weekend store operations.

• Completed the analysis within the stipulated one-week timeline, ensuring the timely delivery of insights crucial for the Superstore’s decision-making process.

• Provided valuable insights into the potential profitability of weekend store operations, which contributed significantly to shaping digital marketing strategies, optimizing customer targeting approaches, and enhancing Superstore's revenue-generation opportunities Client: IT Solution Providers – Dealers of IT Products and Office Supplies Duration: 2 weeks

Objective: To visualize KPIs, assessing the overall performance of the products over time. Key Contributions

• Leveraged combined data analysis and digital marketing skills to interpret raw sales data effectively.

• Used tools such as Tableau/Power BI to create intuitive dashboards, which encapsulated key performance indicators (KPIs) pertinent to sales revenue, product trends, customer segments, and purchasing patterns across multiple product categories.

• Conducted in-depth analysis of consumer behavior and market trends within the technological products and office supplies industry.

• Formulated targeted marketing recommendations based on data-driven observations, aiming to optimize product positioning, advertising campaigns, and promotional activities. Education

Bachelor of Science (B.Sc.) in Biological Science - First Class Honors 2021 Federal University of Agriculture, Abeokuta, Ogun State Training

Data Analytics/Data Science Nupat Technologies Ongoing Discover Data Analysis Microsoft December 2023 Get Started Building with Power BI Microsoft December 2023 Introduction to Data Analytics Simplilearn November 2023 Introduction to Artificial Intelligence Simplilearn November 2023 Product Management EntryLevel May 2023

Soft-Skills Training Jobberman June 2022

Reference

Available on Request.



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