Data Analysis

Pro

Andreas Watts

Starting at

/hr

About this service

Summary

This service offers end-to-end data analysis tailored to your business needs.

Whether you're exploring trends, measuring performance, or making data-driven decisions, I help you make sense of your data through clear, insightful analysis. From raw data to actionable recommendations, every step is built to add value and clarity.

Analysis can be performed in Excel, Power BI, or Python Notebooks.

FAQs

What types of data can you analyze?
Most kinds. I can work with business, financial, marketing, survey, operational, or customer data—across formats like CSV, Excel, SQL databases, and APIs.
Do I need to have clean or organized data?
Not necessarily. I can help clean and prepare your data as part of the project.
Can you use specific tools or platforms?
Yes. I work with Excel, SQL, Power BI, Python notebooks, Google Sheets, and others—depending on your preference.
What if I’m not sure what insights I’m looking for?
That’s completely fine. I can guide you in identifying valuable questions to ask and insights to explore.
How long does a project take?
It totally depends on the scope of the work. Most data analysis projects take 3-5 days, depending on the size and complexity of your dataset.

What's included

Cleaned and structured datasets ready for analysis
Raw data is cleaned, organized, and formatted for accurate, reliable analysis.
Visual dashboards or summary reports (Excel, Power BI, or PDF)
Clear, easy-to-read visuals or summaries delivered in Excel, Power BI, or PDF.
Key metrics, trends, and insights with clear narratives
Core findings presented with context to highlight patterns, anomalies, and opportunities.
Recommendations based on findings
Actionable suggestions grounded in data to support better decision-making.
Raw code/scripts (SQL, Python, Excel, etc.) used during analysis
Includes SQL, Python, or Excel logic used during the analysis—fully documented and reusable.

Example projects