Data Analyst (freelance)

Freelance Data Analyst (Reports & Data Matching)

Join DoubleData, where Data Intelligence meets Business Execution.

DoubleData is an innovative data intelligence startup shaping how companies in sectors like food delivery, qCommerce and retail make pricing and sales decisions. We are now looking for a rigorous freelance Data Analyst to collaborate with our Growth team on a project basis and help us turn raw, messy market data into high-quality, insight-driven reports that fuel our lead generation engine.

In this role, you will be the person who ensures that every chart, number, and insight we publish is rock-solid. You'll be responsible for matching, validating, and analyzing complex datasets across food delivery, restaurant chains, q-commerce, online groceries and translating them into reports that generate Marketing Leads for our sales team. If you believe that accuracy beats automation, that "working code" does not equal "correct results", and that the best insights come from someone who actually questions the data - we'd love to work with you.

This is a B2B / freelance engagement (project-based or recurring), not a full-time employment role. We're flexible on scope and volume depending on your availability and our report pipeline.

Scope of Work

The work splits roughly into three areas. Exact mix depends on the project, but the proportions below are typical.

Data Matching & Validation (50%)

1. Match products, venues, and entities across multiple data sources, where the same item can have different IDs, similar-but-not-identical names, and inconsistent category structures

2. Identify and resolve data anomalies: duplicate IDs, typos, language inconsistencies, formatting differences (e.g. "0,3l" vs "0.3L"), suffix discrepancies (e.g. gramatures merged into product names), and category misalignments

3. Combine AI / Python processing with manual validation in Excel / Google Sheets to reach near 100% matching accuracy - including building product catalogues, unique SKU IDs, and category mappings

4. Document edge cases and matching logic so that subsequent scraping cycles can be processed consistently

Report Creation for the Growth Team (35%)

1. Build data-driven reports for industries like food delivery, restaurant chains, q-commerce, online groceries, and airlines - designed to generate Marketing Leads and showcase our data capabilities to prospects

2. Translate complex datasets (venue coverage, market share, pricing, promotions, logistics) into clear, narrative-driven analyses with strategic implications for sales and strategy departments

3. Collaborate with the Growth team on report scoping, key metrics, and the storytelling angle that resonates with target industries

4. Prepare clean visualizations, tables, and benchmarks that highlight competitive dynamics, white spaces, and pricing patterns

Data Quality & Process Improvement (15%)

1. Take ownership of the data validation playbook - refining matching logic, geo-verification workflows, and category standardization across projects

2. Identify recurring data issues at the source and propose improvements to scraping, schema, and cleaning pipelines

3. Help build internal documentation so that data work is repeatable, auditable, and not dependent on tribal knowledge

What We Value

1. Rigor Over Speed: You treat data quality as a top priority. You don't ship a number until you've stress-tested it

2. Comfortable with Messy Data: You expect imperfect datasets and know that real value comes from cleaning, matching, and reconciling them properly

3. Critical Thinker: You question outputs instead of trusting them. If a price looks weird, an ID is duplicated, or a category seems off - you investigate before automating around it

4. Hybrid Toolkit: Comfortable combining Python (pandas, data manipulation) with manual validation in Excel / Google Sheets. You know when to automate and when to verify by hand

5. Detail-Oriented: You can spot the difference between "Cappucino" and "Cappuccino"

6. Clear Communicator: Fluent in written and spoken English, able to translate technical findings into business language for the Growth team

7. Location & Setup: We work fully remote. We're open to freelancers based in Poland or elsewhere in compatible time zones (CET ± a few hours)

8. Structured & Reliable: You document your work, track edge cases, and don't let anomalies fall through the cracks

Required Skills

1. Strong proficiency in Python (pandas, data cleaning, deduplication, fuzzy matching)

2. Advanced Excel / Google Sheets skills (pivots, complex formulas like INDEX, FILTER, IFERROR, UNIQUE, COUNTIF, SPLIT, regex, data validation)

3. Solid understanding of data structures, schemas, and how to design unique IDs (e.g. report_sku_unique_id) for cross-platform matching

4. Experience working with scraped or messy real-world data (not just clean academic datasets)

5. Ability to perform geo-verification and basic spatial reasoning (lat/long, KML files, region/state assignment)

6. Comfortable producing clean visualizations and structured analytical narratives

Nice to Have

1. Experience with food delivery, e-commerce, q-commerce, or retail data (especially menu/product/pricing data)

2. Familiarity with fuzzy matching libraries (e.g. rapidfuzz, fuzzywuzzy) or entity resolution techniques

3. Experience working with multi-language datasets 

4. Background in B2B reporting, market research, or competitive intelligence

5. Knowledge of SQL and basic familiarity with data warehousing concepts

6. Experience using AI tools (like Claude) as a data validation and standardization aid (e.g. for city name cleaning, product name translation, anomaly detection)

7. Past collaboration with Growth, Sales, or Marketing teams on lead-generating content

8. Familiarity with tools like Notion, Slack, Looker / Tableau / Metabase, or BI dashboards

What You'll Get

1. High-Impact Projects: Your reports drive MQL generation and shape how prospects perceive our data quality - your work is the front door of the company

2. Flexible Engagement: B2B contract, remote-first, project-based or recurring depending on your availability and our pipeline

3. Ownership Culture: We don't micromanage. If you spot a better matching method, a cleaner workflow, or a sharper report angle - we want you to drive it

4. Long-Term Potential: We're scaling fast across new industries (q-commerce, online groceries, airlines). Strong freelancers who deliver consistently can grow into a recurring partnership with steady project flow - and, if there's mutual fit, a longer-term role down the line

How We'll Work Together

1. CV / Portfolio Screening: we'll review your experience, past projects, and any relevant work samples

2. Intro Call: a short chat with one of the founders to discuss your background, availability, and rates

3. Paid Pilot Task: a small, realistic data matching / validation exercise based on the kind of work you'd actually do (designed to test rigor, not raw coding speed) — paid at your standard rate

4. Project Kickoff: if the pilot goes well, we move into a first scoped project with clear deliverables and timeline