The Annecy basin has a data bandwidth problem

The Arve Valley has 600 precision machining companies, 10,000 industrial jobs, and mountains of production data that nobody has time to process. The quality manager at the aerospace subcontractor in Argonay knows it: the scrap rate data exists. But between daily production and client audits, who's going to build the dashboard?

Tourism has the same bottleneck. 1.8 million visitors a year around the lake, hundreds of accommodation providers. Booking data piles up in Excel files, PMS systems, and Google Sheets. The tourism office produces stats. But when a hotelier wants to cross-reference occupancy rates with weather and local events to optimize pricing, there's nobody to do it.

The big local players (Salomon, NTN-SNR, Entremont) have internal data teams. The problem is everyone else: SMEs with 20 to 200 people generating data every day with nobody to turn it into something useful. Hiring a full-time data analyst for a three-week project makes no sense. Going through a consultancy for a dashboard means three months of process and a five-figure quote.

What you need is someone operational. Someone who knows SQL, can clean a messy dataset, and builds dashboards that work. Available now, not in six months.

What I do for businesses in Annecy

SQL queries and ad hoc analysis

You have a business question, I have SQL and your data. "Which client costs us the most in after-sales support?" "Which product has the best net margin in the Annecy-Geneva corridor?" "Why did our returns spike 15% this quarter?" I find the answer in your databases, not in my assumptions. The deliverable is a clear result with commented queries, not a 40-slide deck. For a manufacturer in the Arve Valley, that might mean cross-referencing machine data with non-conformance reports to isolate root causes. For a tourism operator, segmenting bookings by channel and period to know where to invest.

Dashboards and automated reporting

Every Friday, someone on your team spends two hours copy-pasting numbers into Excel for the weekly report. That's wasted time. I build dashboards in Looker Studio, Tableau, or Power BI connected directly to your data sources. They update themselves. At Google (through Teleperformance), I automated an entire team's reporting: 10 hours of manual work per week, gone. For an Annecy SME, the gain scales proportionally: your team stops counting and starts deciding.

Data cleaning and structuring

Your data lives across three software tools, five Excel files, and a Google Sheet that "everyone" updates. Duplicates, inconsistent formats, empty columns, American date formats in a French file. Before anyone can analyze anything, someone has to clean up. I take your data as-is, centralize it, standardize formats, remove duplicates, and document the structure. The result: a clean, usable dataset that your team can maintain after I'm done.

How it works

1. Scoping call (free, 30 min)

You tell me what you need. A dashboard, an analysis, a data cleanup, temporary reinforcement. I ask about your tools, your data, your deadline. If the project isn't a fit, I tell you right away.

2. Quote and scope

I send you a clear document: what, when, how much. Fixed price or daily rate, depending on what makes sense. No gray areas. You know exactly what you're getting.

3. Iterative delivery

I don't disappear for a month. Every week, you see progress: first queries, dashboard drafts, data being cleaned. You give feedback, I adjust. No tunnel.

4. Documented handoff

Everything I deliver comes documented. SQL queries are commented. Dashboards include a user guide. Data transformations are logged. When the project ends, your team can maintain the work without calling me back.

Tech stack

SQLPythonBigQueryLooker StudioTableauPower BIExcel / Google Sheets

Frequently asked questions

What's the difference with your data consultant page for Annecy?

The data consultant structures your approach: audits, strategy, advanced statistical exploration (PCA, clustering). The freelance data analyst does the operational work: SQL queries, dashboards, data cleaning, team reinforcement. If you already know what you need and just need it done, you're in the right place. If you're looking for someone to explore your data and uncover hidden insights, check out my Annecy data consulting page.

You're based in Tbilisi. How does that work for Annecy?

Fully remote, European timezone (GMT+4). Slack, Teams, video calls, whatever tool you use. I've worked this way for years and it works better than most on-site setups. For kickoff or sensitive phases, I fly in. Annecy is a direct flight. And let's be honest: to build a Looker Studio dashboard, your subcontractor in Cran-Gevrier doesn't need me in their office. They need the deliverable on time.

How much does a freelance data analyst cost?

Depends on the project. A dashboard connected to your sources is a few days. A full data cleanup with restructuring, one to two weeks. Longer-term team reinforcement, we set a daily rate. First call is free: we scope the need and I tell you whether it's worth the investment.

Why not hire Sopra Steria or a local consultancy?

Sopra Steria is headquartered in Annecy and does excellent work on large-scale projects. But mobilizing a consultancy for a dashboard or three weeks of data cleaning is using a sledgehammer to crack a nut. Staffing delays, management layers, structural overhead. I'm one person, operational, available. For short, concrete projects, it's faster and cheaper.

Can you integrate into my existing team?

Yes. I adapt to your tools, your codebase, your conventions. I've done team reinforcement for years. SQL, Python, your existing dashboards: I pick up the context and I produce. No two-week onboarding required.