Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Junior Data Analyst with 2+ years in Data Cleaning, Visualization & Reporting
Detail-oriented graduate with Google and IBM Data Analytics certifications and hands-on experience in data cleaning, transformation, visualization, and reporting using SQL, Microsoft Excel, Power BI, Tableau, and basic Python. Has applied these skills to real-world datasets, including the Olist Brazilian e-commerce dataset and Google BigQuery's public bike-share dataset, to analyze sales trends, logistics performance, and usage patterns. Skilled at collecting, organizing, and validating data from multiple sources, building dashboards to track key metrics, and translating raw data into clear, accurate reports. Background includes routine data collection and quality checks in a production environment, performing hourly inspections and accurate record-keeping on a high-volume operation, demonstrating strong attention to detail and consistency. Comfortable working independently or as part of a team, with strong organizational skills, fast learning ability, and a commitment to accuracy in every task.
Alex Ekwueme Federal University, Nigeria
Bachelor of Engineering (B.Eng.) · Chemical Engineering
N/A – June 30, 2022
STEM Lab, National Youth Service Corps (NYSC), Nigeria
Coding & Robotics Instructor (NYSC)
January 1, 2023 – December 31, 2024
Nigeria
Aquadana PET Bottled Water Production Facility, Nigeria
Quality Assurance Intern
January 1, 2020 – December 31, 2020
Nigeria
E-Commerce Sales & Logistics Analysis - Olist Brazilian E-Commerce Dataset
January 1, 2026 – Present
Used SQL to query and join multiple relational tables (orders, customers, products, reviews, payments) from the public Olist Brazilian e-commerce dataset. Analyzed sales and revenue trends across product categories, regions, and time periods to identify top-performing segments. Investigated delivery time and logistics performance, examining the relationship between delivery delays and customer review scores. Built Power BI dashboards combining sales, delivery, and customer satisfaction metrics into a single view for stakeholder reporting. Presented findings and recommendations on improving delivery performance and customer satisfaction based on the data.
Bike Share Usage Analysis - Google BigQuery Public Cycling Dataset
January 1, 2026 – Present
Queried the public bike-share dataset in Google BigQuery using SQL to extract ride-level data on duration, stations, and trip times. Analyzed ride duration and usage patterns across rider types, time of day, and day of week to identify peak demand periods. Identified the most popular stations and routes, highlighting demand imbalances between station locations. Examined seasonal and time-based trends in ridership to support capacity planning insights. Visualized findings in Excel and Power BI dashboards to communicate usage patterns and station-level demand clearly.
Data Analytics Training & Projects
January 1, 2024 – June 1, 2026
Completed additional end-to-end analytics projects covering raw data processing, cleaning, transformation, analysis, and final reporting. Wrote SQL queries to extract, join, and aggregate data across multiple project datasets. Used Microsoft Excel for advanced analysis, including pivot tables and dashboard creation. Applied data-driven approaches to evaluate operational performance and support decision-making.
Google Data Analytics Professional Certificate
Coursera
January 1, 2026 – Present
IBM Data Analytics Certificate
SkillsBuild / University of the People (UoPeople)
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's self-directed learning approach, evidenced by multiple certifications and personal projects, suggests a proactive and growth-oriented mindset. Their diverse background, including a Chemical Engineering degree and experience in teaching, indicates adaptability and a broad perspective. The projects demonstrate an ability to work independently and apply analytical skills to various real-world datasets, aligning with a culture that values initiative and problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills, attention to detail, and a commitment to accuracy, which are critical for a Junior Data Analyst role. Their experience as a Coding & Robotics Instructor highlights an ability to communicate complex technical concepts clearly, a valuable skill for presenting data insights. The Quality Assurance internship also shows experience in a fast-paced, high-volume environment, indicating good operational fit.