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Best freelance Data Analysts for Big Data to hire in 2025

Looking to hire Data Analysts for your next Big Data project? Browse the world’s best freelance Data Analysts for Big Data on Contra.

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Cover image for IMDB Movie Industry Correlation Analysis
Cover image for Larger E-Commerce Sales Dataset Exploration
Cover image for Apple Music Track Dashboard
Cover image for Predictive Modeling for Stock Price Forecasting
Data Analyst(4)
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Anthony Remichris
Nigeria
Cover image for Web Scraping, Data Cleaning, and Analyzing SpaceX Data
Cover image for Marketing Performance Optimization with HubSpot Integration
Cover image for Predicting Car Prices with Data Analysis and Machine Learning
Cover image for Building a LinkedIn People, Company, and Job Scraper with Scrapy
Data Analyst(7)
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Rosany Teran
Irvine, USA
Cover image for Sales Analytic Dashboard 📊
Cover image for Event Tracking for Ecommerce Analytics
Cover image for Framer Website
Cover image for Chat AI Assistant Platform Web App
Data Analyst(2)
Cover image for BI Specialist for Meta Ads Dashboard Integration
Cover image for KPI Tracking in Plecto | Live TV Dashboards
Cover image for Sales Data Analysis & Data Visualization in Power BI
Cover image for Airlines Flights Data Visualization in Power BI Integrated with
Data Analyst(6)
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Nabeel Farooq
PROPakistan
Cover image for San Martin Stores – Sales Analytics & Performance Dashboard
Cover image for PagerDuty - Employee Attrition Analysis Dashboard
Cover image for Real Estate Analytics using Power BI
Cover image for The Bubble App – Real-Time Social Networking Platform
Data Analyst(3)

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FAQs

To outline project deliverables for a freelance data analyst, you should start by defining the specific goals and objectives of your project. Break down these goals into tangible outcomes, specifying detailed tasks, expected results, and timelines. Ensure these deliverables align with your business needs and are measurable. Sharing any relevant data sources, tools, or platforms they will need to use is also crucial. Provide examples of previous models or reports if available to set clearer expectations.
To structure communication effectively, establish a regular meeting schedule from the start—weekly or bi-weekly check-ins can be helpful for monitoring progress. Define preferred communication channels (e.g., email, video calls, messaging apps) and set expectations for response times. Make sure to keep communication open and transparent, encouraging the data analyst to ask questions or seek clarifications to ensure alignment and smooth progress throughout the project.
Begin by identifying key phases of the data analysis process, such as data collection, cleaning, analysis, and reporting. Set specific milestones for each phase with clear, achievable goals and associated deadlines. This provides a framework to track progress and ensures you and the data analyst are aligned every step of the way. Additionally, discuss these milestones at the project's start and adjust them collaboratively as necessary to accommodate any changes in scope or direction.
Contra is designed for both freelancers (referred to as "independents") and clients. Freelancers can showcase their work, connect with clients, and manage projects commission-free. Clients can discover and hire top freelance talent for their projects.
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