Part-Time Data Analyst Needed
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I have a part-time opening in the technology sector for a skilled Data Analyst who can jump into our existing projects and turn raw information into clear, actionable insight. You’ll connect to our cloud data sources, clean and organise the sets, then surface trends through concise dashboards and short written summaries so the wider team can make fast, data-driven decisions.
Key tools in our stack include SQL, Python (pandas, matplotlib or similar), Excel/Google Sheets and a lightweight BI platform. If you are equally comfortable switching between them and can explain your findings in plain language, you’ll fit right in.
Expected rhythm
• Roughly 15–20 hours spread across the week (flexible on scheduling).
• Short kickoff call to align on metrics, followed by a shared Trello board to track tasks.
• End-of-week hand-off: cleaned data files, refreshed dashboards and a brief highlight report (PDF or slide deck).
Acceptance criteria
• All queries, notebooks and sheets are fully commented.
• Visuals load without errors and match the agreed metrics.
• Summary narrative clearly states what happened, why it matters and next steps in no more than one page.
If this cadence and toolset suit you, let’s discuss the first dataset and get started.
Key tools in our stack include SQL, Python (pandas, matplotlib or similar), Excel/Google Sheets and a lightweight BI platform. If you are equally comfortable switching between them and can explain your findings in plain language, you’ll fit right in.
Expected rhythm
• Roughly 15–20 hours spread across the week (flexible on scheduling).
• Short kickoff call to align on metrics, followed by a shared Trello board to track tasks.
• End-of-week hand-off: cleaned data files, refreshed dashboards and a brief highlight report (PDF or slide deck).
Acceptance criteria
• All queries, notebooks and sheets are fully commented.
• Visuals load without errors and match the agreed metrics.
• Summary narrative clearly states what happened, why it matters and next steps in no more than one page.
If this cadence and toolset suit you, let’s discuss the first dataset and get started.
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