Data Analyst | Skilled in SQL, Power BI & Python | 2+ Years Experience

Emmanuel Awe

Professional Summary

Data Analyst with over 2 years of experience leveraging SQL, Excel, Power BI, and Python to deliver actionable insights and optimize business processes. Proven ability to enhance data accuracy, streamline workflows, and support strategic decision-making through effective data visualization and reporting.

Work Experience

Customer Service Clerk at Zehrs

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Maintained detailed customer interaction records, improving data reliability and service tracking. Applied analytical skills to resolve issues in real time, enhancing customer satisfaction. Created process documentation to reduce repeat inquiries and support training.

Junior Data Insights Associate at DataLab Analytics

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Analyzed large datasets using SQL and Excel, boosting reporting accuracy by 25%. Developed and deployed Power BI dashboards to monitor customer acquisition trends. Reduced reporting errors by 12% through cross-functional collaboration and process improvements.

Business Data & Reporting Associate at Insight Nexus Technologies

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Designed interactive dashboards to track engagement and transactions. Standardized and merged multi-source CSV datasets, enhancing consistency for analysis. Supported leadership by preparing accurate performance summaries.

Education

Diploma in Computer Programming

Conestoga College

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BEng in Mechanical Engineering

Covenant University

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Skills

Technical Skills

  • SQL
  • Microsoft Excel
  • Power BI
  • Python
  • Data Cleaning
  • Data Visualization
  • Reporting
  • Statistical Analysis
  • KPI Dashboards
  • Data Documentation

Soft Skills

  • Problem Solving
  • Troubleshooting
  • Customer Service
  • Workflow Optimization
  • Technical Documentation
  • Record Management
Score
78/100
Certifications
0/100
Projects
72/100
Header
85/100
Skills
82/100
Profile
80/100
Education
70/100
Work Experience
75/100
Add certifications or relevant training to validate technical skills and increase credibility
Include complete location details in header for ATS geographic filtering
Enhance work experience descriptions with more detailed metrics and consistent formatting
Provide dates/durations for projects and link to online portfolios if possible
Expand skills section with additional relevant keywords like 'data modeling' and 'ETL'
Strong proficiency in SQL, Power BI, and Python with practical application experience
Quantifiable achievements in work experience demonstrating impact on accuracy and reporting
Clear articulation of analytical and problem-solving skills
Experience collaborating cross-functionally to improve data quality and processes

Certifications

0%
Section missing

Projects

72%
Projects demonstrate practical application of skills with clear descriptions.
Include dates or durations for projects to provide timeline context.
Add specific results or impact metrics to better showcase effectiveness.
Consider linking to online project portfolios or repositories if available.

Header

85%
The header is clear with a descriptive headline including key skills and experience, which is good for ATS and recruiters.
Include a complete location (city, state) to improve geographic relevance and ATS filtering.
Add a professional summary or objective directly under the header to immediately capture recruiter interest.

Skills

82%
Hard and soft skills are well categorized and relevant to the data analyst role.
Including more industry-standard keywords such as 'data modeling' or 'ETL processes' could improve ATS matches.
Tools section is concise but could be expanded with specific analytics or visualization platforms if applicable.

Profile

80%
The summary effectively highlights key skills and accomplishments relevant to data analysis.
Profile highlights are well-structured and emphasize important competencies.
Consider adding measurable achievements or specific tools used to strengthen impact.
Including a brief statement of career goals could improve alignment with job targets.

Education

70%
Education entries are complete with degrees and institutions listed.
Adding relevant coursework, honors, or GPA (if strong) would enhance this section.
Clarify ongoing education status for the current diploma to avoid confusion.

Work Experience

75%
Work experience includes relevant roles with quantifiable achievements, which is strong.
Job descriptions can be enhanced by adding more specific metrics and outcomes to demonstrate impact.
Use consistent formatting for dates and employment types to improve readability and ATS parsing.
Consider reorganizing bullet points to prioritize accomplishments over duties.