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

Emmanuel Awe

Professional Summary

Results-driven Data Analyst with over 2 years of experience transforming raw data into actionable business insights. Skilled in SQL, Excel, Power BI, and Python for data cleaning, visualization, and reporting. Proven ability to enhance reporting accuracy, streamline workflows, and enable data-driven decision-making across diverse industries.

Work Experience

Junior Data Insights Associate at DataLab Analytics

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Increased reporting accuracy by 25% by cleaning and analyzing large datasets using SQL and Excel. Designed and deployed interactive Power BI dashboards to track customer acquisition trends. Reduced reporting errors by 12% through standardized processes and automated workflows. Partnered with cross-functional teams to identify bottlenecks and implement process improvements.

Business Data & Reporting Associate at Insight Nexus Technologies

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Developed automated data visualizations to monitor engagement and transaction metrics. Standardized and merged multi-department datasets, improving analysis consistency. Delivered accurate performance summaries to support executive decision-making.

Education

Diploma in Computer Programming

Conestoga College

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Bachelor of Engineering in Mechanical Engineering

Covenant University

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Skills

Technical Skills

  • SQL
  • Python
  • Data Cleaning
  • Data Modeling
  • ETL Processes
  • Reporting Automation
  • Dashboard Development
  • Statistical Analysis

Soft Skills

  • Problem Solving
  • Process Improvement
  • Analytical Thinking
  • Attention to Detail
  • Effective Communication
Score
78/100
Certifications
0/100
Skills
80/100
Header
85/100
Profile
80/100
Projects
75/100
Education
70/100
Work Experience
75/100
Add location details in header for better ATS and recruiter context.
Include certifications to validate technical skills and improve ATS scores.
Format dates consistently with month and year across all sections.
Enhance projects section with dates, bullet points, and measurable outcomes.
Integrate soft skills into experience or profile sections to provide context.
Strong quantifiable achievements in work experience demonstrating impact.
Clear expertise in data analysis tools like SQL, Power BI, and Python.
Well-articulated summary and profile highlights emphasizing relevant skills.
Experience with process improvement and cross-functional collaboration.

Certifications

0%
Section missing. Adding relevant certifications such as Microsoft Power BI, SQL, or Python would strengthen credibility and ATS ranking.

Skills

80%
Hard skills and tools are well listed and relevant to data analysis roles, supporting ATS keyword scanning.
Soft skills are included but could be integrated into experience or profile sections to strengthen context.
Consider adding certifications or formal training to complement skills section.

Header

85%
Header includes name, professional headline with keywords, and contact details which support ATS parsing.
Consider adding a complete location (city/state) to improve recruiter context and ATS geo-filters.

Profile

80%
Summary clearly highlights experience, skills, and impact with relevant keywords like 'data cleaning', 'visualization', and 'reporting'.
Profile highlights and strengths add value but could be merged or formatted for better ATS keyword density.
Consider incorporating measurable achievements in the summary to increase recruiter appeal.

Projects

75%
Projects are described with technical details and outcomes, demonstrating applied skills.
Including dates and linking projects to specific skills or tools used would improve ATS and recruiter understanding.
Use bullet points and quantify impact where possible (e.g., data volume handled, time saved).

Education

70%
Education entries are detailed with institutions and degrees, but missing GPA and location details reduce completeness.
Formatting of dates is consistent but could include month and year for clarity.
Adding relevant coursework or academic projects related to data analysis would enhance this section.

Work Experience

75%
Descriptions include quantifiable achievements (e.g., 'increased reporting accuracy by 25%') which enhance impact.
Job titles and company names are clear, but employment dates could be formatted consistently (e.g., month/year).
Use more ATS-friendly bullet points starting with strong action verbs and include relevant keywords like 'data analysis', 'dashboard development', and 'process improvement'.
    Data Analyst | 2+ Years Experience | SQL, Power BI & Python Specialist | Emmanuel Awe | Resume Template - Yotru