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Shianne Leggett

About Me

A More Personal Introduction

I'm an aspiring data analyst building practical skills in Excel, SQL, data cleaning, and visualization while bringing a professional, approachable mindset focused on clear communication and reliable work.

  • Analytical
  • Organized
  • Detail-oriented

About

About Me

I am an aspiring Data Analyst focused on building practical technical skills and applying analytical thinking to real business questions.

Where I am now

I am currently developing toward a career in data analytics through structured learning and hands-on practice projects.

Professional strengths I bring

My professional background has strengthened core skills that are essential in analytics work: attention to detail, organization, clear communication, adaptability, and problem-solving.

What drew me to analytics

Over time, I discovered that I enjoy working with information, identifying patterns, solving problems, and finding more efficient ways to approach work.

Skills in development

I am actively building experience with Excel, SQL, data cleaning, data visualization, data interpretation, and analytical problem-solving.

Current goal

My goal is to secure an entry-level Data Analyst opportunity where I can apply these strengths, continue growing technically, and contribute to data-informed business decisions.

Core Strengths

Transferable strengths that support analytics readiness

These professional strengths shape how Shianne approaches data work today: carefully, clearly, and with a focus on useful outcomes for teams and stakeholders.

  • Attention to Detail

    Supports cleaner datasets and reduces avoidable reporting errors before insights are shared.

  • Organization

    Helps structure files, workflows, and documentation so analysis stays efficient and repeatable.

  • Communication

    Turns findings into clear updates that non-technical audiences can understand and act on.

  • Adaptability

    Makes it easier to learn new tools and adjust analysis approaches as project needs evolve.

  • Problem-Solving

    Supports breaking broad questions into practical steps that guide useful analysis outcomes.

  • Analytical Thinking

    Encourages pattern recognition, logical interpretation, and evidence-based recommendations.