End-to-End Data Analysis Support

I have a structured dataset that needs to be taken from raw tables all the way through to clear, decision-ready insights. From import and cleaning, to writing the right SQL queries, to shaping the data in Excel for trend analysis and building intuitive visualisations, every step of the pipeline has to be covered.

The work begins with organising the data in its source tables, applying SQL to filter, join, and aggregate so it’s analysis-ready. Once cleaned and documented, the dataset will be pulled into Excel where pivot tables, formulas, and charting will be used to surface key trends. I want those trends translated into crisp visuals—time-series, comparisons, and whichever other charts best tell the story—so that stakeholders can grasp patterns at a glance.

Deliverables
• Re-usable SQL scripts (well-commented) that build the cleaned, aggregated tables
• An Excel workbook containing the final dataset, pivot tables, and the complete set of charts/dashboards
• A brief slide or worksheet summary that explains the main trends uncovered and how to interpret each visual

Acceptance criteria
• All figures in the workbook must reconcile back to the source data via the provided SQL queries
• Visualisations are labelled clearly, with titles and units, and load error-free when the workbook is refreshed
• Explanatory notes identify at least three meaningful trends and the potential business implications

If additional scripting in Python or a BI tool will accelerate or enhance any step, feel free to suggest it, but Excel and SQL remain the core stack. I’m on hand to answer data-specific questions quickly so you can stay focused on producing analysis that is both accurate and visually engaging.