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Freelance Data Analyst Jobs in Rochester, NY (NOW HIRING)

Freelance Data Analyst information

See Rochester, NY salary details

$13

$32

$60

How much do freelance data analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for freelance data analyst in Rochester, NY is $32.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

What does a freelance data analyst do?

As a freelance data analyst, your duties are to collect data and interpret it for your client on a contract basis. Data analysts can work in many industries and fields, including sales, logistics, social science research, government and nonprofit, market research, banking, and healthcare, to name just a few. Your specific responsibilities may differ depending on the field. However, generally, you use a variety of analytical tools to assess things like sales numbers and performance, identify market trends, and write reports that chart your analysis and provide recommendations for future strategies.

What is a freelance data analyst?

Freelance data analysts are independent professionals who analyze data for clients on a project-by-project basis rather than working as full-time employees for a single organization. They collect, process, and interpret data to help clients make informed decisions, often using tools like Excel, SQL, Python, or R. Freelance data analysts may work with businesses across various industries, providing insights, building reports, and creating data visualizations. Their flexible work arrangement allows them to take on multiple clients and projects according to their expertise and availability.

How much does a freelance data analyst earn?

Freelance data analysts typically earn between $25 and $100 per hour, depending on experience, skills, and project complexity. Annual earnings can vary widely, often ranging from $50,000 to over $100,000 for experienced professionals working on multiple projects or specialized tasks.

What are the key skills and qualifications needed to thrive as a freelance data analyst, and why are they important?

To thrive as a Freelance Data Analyst, you need strong analytical skills, a solid understanding of statistics, and proficiency in data visualization, often backed by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, Python or R, and platforms like Tableau or Power BI is typically expected, and certifications in data analytics can enhance credibility. Excellent communication, time management, and client relationship skills help freelancers stand out by effectively translating insights and managing multiple projects. These competencies ensure accurate analysis, actionable reporting, and client satisfaction in a competitive freelance environment.

Are freelance data analysts in demand?

Freelance data analysts are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as Python or R enhance employability in this flexible role.

What is the difference between Freelance Data Analyst vs Data Scientist?

AspectFreelance Data AnalystData Scientist
CredentialsTypically requires a bachelor's degree in data analysis, statistics, or related fieldsOften requires advanced degrees (Master's or PhD) in data science, computer science, or related areas
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, employed by organizations, often remote or in-office
Industry UsageUsed across various industries for data reporting and analysisUsed for developing models, machine learning, and predictive analytics

Freelance Data Analysts focus on interpreting data, creating reports, and providing insights on a project basis, while Data Scientists develop complex models and algorithms to predict trends. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

How do freelance data analysts typically manage project timelines and client communication?

Freelance data analysts often juggle multiple projects for different clients, making strong time management and clear communication essential. They usually set expectations upfront regarding deliverables and deadlines, using project management tools or shared documents to track progress. Regular updates and check-ins—often via email, video calls, or collaborative platforms—help keep clients informed and engaged throughout the analysis process. This structured approach ensures projects stay on track and fosters positive client relationships, which are crucial for repeat business and referrals.
What are the most commonly searched types of Data Analyst jobs in Rochester, NY? The most popular types of Data Analyst jobs in Rochester, NY are:
What job categories do people searching Freelance Data Analyst jobs in Rochester, NY look for? The top searched job categories for Freelance Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Freelance Data Analyst jobs? Cities near Rochester, NY with the most Freelance Data Analyst job openings:
Infographic showing various Freelance Data Analyst job openings in Rochester, NY as of August 2026, with employment types broken down into 49% Full Time, 35% Part Time, 9% Temporary, and 7% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $67,574 per year, or $32.5 per hour.

Qualified Electronic Signature Specialist - AI Trainer - Freelance - 8-20 hrs/week - Remote

10X, LLC

Brockport, NY • Remote

Full-time

Posted 24 days ago


Job description

Updated: 07 July 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Are you an experienced specialist in eIDAS2 and Qualified Electronic Signatures (QES), passionate about advancing AI‐driven legal technology? Do you have 8–20 hours per week to contribute alongside your current commitments? Join 10x Team and help shape how AI understands and applies digital identity and electronic signature standards in real‐world scenarios. About The Role 10x Team connects expert freelance professionals with leading AI labs to build next‐generation solutions. We are seeking skilled consultants in eIDAS2 and Qualified Electronic Signatures (EU/UK) to enhance the quality, technical accuracy, and regulatory alignment of AI‐driven systems. Key Responsibilities Review and refine AI‐generated content related to eIDAS2, QES, implementation guidelines, compliance scenarios, and practical best practices Assess AI outputs for technical, legal, and regulatory accuracy and ensure alignment with current eIDAS2 standards Develop realistic scenarios illustrating digital identity, trust services, and signature workflows using your professional expertise Draft scenario variations representing the perspectives of regulators, service providers, and end users Identify and correct gaps, inaccuracies, or faulty reasoning in AI‐created material Apply your knowledge to ensure AI training data mirrors authentic regulatory analysis, processes, and documentation About You Senior‐level specialist with substantial professional experience in eIDAS2, Qualified Electronic Signatures, and digital trust frameworks in the EU or UK Deep understanding of compliance, standards, and real‐world case applications Skilled in critiquing documents, compliance materials, and regulatory frameworks Organized, detail‐oriented, and able to provide actionable feedback independently Available 8–20 hours weekly and able to respond promptly Residency in the UK or EU is required Why Join 10x Team? Flexible, fully remote freelance work that fits your schedule Contribute directly to AI systems powering secure digital identity and trust solutions Free access to our in‐house AI Academy to deepen your AI expertise Structured onboarding, clear project briefs, and ongoing collaboration How To Apply After applying, you'll receive an email detailing the steps to: Complete a short written assessment Participate in an AI‐powered interview Important: Your application is only complete once you finish all steps via the email link. Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project. Help drive the future of AI‐powered digital trust. Apply today and join 10x Team! At 10x, There Are Two Types Of Opportunities Traditional freelance missions – These are regular project‐based opportunities where the listed mission is the actual project you may work on. AI Lab roles – For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities. The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as it exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent. Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise. This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs. #J-18808-Ljbffr