The problem

You have a data project sitting in your backlog. Maybe it's a dashboard nobody's had time to build. Maybe it's a pile of CSVs that need cleaning before anyone can use them. Maybe your data team is drowning and needs an extra pair of hands for the next three months.

Hiring a full-time data analyst for this doesn't make sense. The project is too small, too specific, or too temporary. But it still needs to get done. And it needs someone who won't require two weeks of onboarding before writing their first SQL query.

What I do

Data analysis and exploration

You have a business question. I find the answer in your data. That means writing complex SQL queries, digging through tables, cross-referencing sources, and spotting patterns your team hasn't had time to look for. The deliverable isn't a vague report. It's a clear answer with the evidence behind it, ready for your team to act on.

Dashboards and visualization

I build dashboards in Looker Studio, Tableau, or Power BI that your team will actually use. Not decorative charts for a board meeting. Functional tools with clear KPIs that update automatically and answer the questions people ask every week. At Google (through Teleperformance), I automated reporting workflows that saved 10 hours per week.

Data cleaning and structuring

Your data is messy. Duplicates, inconsistent formats, missing fields, five spreadsheets that should be one table. Before any analysis can happen, someone needs to get in there and fix it. I centralize scattered data sources, standardize formats, handle deduplication, and deliver clean, structured datasets ready for analysis.

How it works

1. Discovery call

30 minutes on video. You tell me what you need done. I ask questions about your data, your tools, your timeline. If the project isn't a good fit, I'll say so. Free, no commitment.

2. Scope definition

I send you a clear scope document: what I'll deliver, in what format, by when, and for how much. Fixed price or daily rate, depending on what makes sense for the project. No ambiguity.

3. Analysis and iterative deliverables

I don't disappear for a month. You get work-in-progress results every week. Early outputs, draft dashboards, preliminary findings. You give feedback, I adjust. This way there are no surprises at the end.

4. Documentation and handoff

Everything I build comes with documentation your team can follow. Queries are commented. Dashboards come with a user guide. Data dictionaries are included. When the project ends, your team can maintain and extend the work without calling me back.

Tech stack

SQLPythonBigQueryLooker StudioTableauPower BIExcel / Google Sheets

Frequently asked questions

What's the difference between a data analyst and a data consultant?

The data analyst does the operational work: queries, dashboards, data cleaning, analysis. The data consultant structures the approach: audits your data architecture, designs pipelines, recommends tools. I do both. But this page is for you if you need someone to produce. If you're looking for someone to rethink your entire data strategy, check out my data consulting page.

How much does a freelance data analyst cost?

It depends on the scope. I bill either by the day or by the project, depending on what fits best. Before anything, we have a free 30-minute call where I assess what you actually need. I'll tell you honestly if the project is worth the investment, or if there's a simpler solution you haven't considered.

Can you reinforce my existing team?

Yes. I integrate into existing data teams as a temporary reinforcement. Fully remote, comfortable with Slack, Teams, Jira, or whatever your team uses. I adapt to your workflows, your codebase, your naming conventions. I work from Tbilisi, Georgia (GMT+4), which gives full overlap with European business hours.