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Remote Data Analyst Jobs in Schenectady, NY (NOW HIRING)

Donato Technologies, Inc

Sr. Data Analyst

Albany, NY · Remote

$55 - $58/hr

Albany, NY(Remote) Resource must be in USA. Data analyst: Client asks is businesspeople with Data background, a BA with technical skills. Need python, Tableau, and modeling along with business ...

Cayenta

(Remote) Support Analyst

Albany, NY · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

ACS Consultancy Services

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Remote We are currently seeking candidates who meet the following qualifications. Responsibilities: * Develop and maintain conceptual, logical, and physical data models. * Analyze business ...

NTT DATA Services

Senior Business Analyst

Albany, NY · Remote

$71K - $135K/yr

Req ID: 373762 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $71,400 - $135,000. This range reflects the minimum ...

NTT DATA Services

Senior Business Analyst

Albany, NY · Remote

$71K - $135K/yr

Req ID: 373762 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $71,400 - $135,000. This range reflects the minimum ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Schenectady, NY

Remote Data Analyst information

See Schenectady, NY salary details

$32.9K

$80K

$131.6K

How much do remote data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data analyst in Schenectady, NY is $79,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Schenectady, NY?

The most popular types of Data Analyst jobs in Schenectady, NY are:

What are popular job titles related to Remote Data Analyst jobs in Schenectady, NY?

For Remote Data Analyst jobs in Schenectady, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Schenectady, NY look for?

The top searched job categories for Remote Data Analyst jobs in Schenectady, NY are:

What cities near Schenectady, NY are hiring for Remote Data Analyst jobs?

Cities near Schenectady, NY with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Schenectady, NY as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $79,956 per year, or $38.4 per hour.

Sr. Data Analyst

Donato Technologies, Inc

Albany, NY • Remote

$55 - $58/hr

Contractor

Re-posted 28 days ago

Job description

Job Title: Data Analyst
Location: Albany, NY(Remote) 
Resource must be in USA.

Data analyst:

Client asks is businesspeople with Data background, a BA with technical skills. Need python, Tableau, and modeling along with business analyst capabilities.

Required Skills:

• Advanced Excel proficiency (can own heavy, manual data work).

• Solid Tableau experience for building / tweaking dashboards.

• Sharp analytical-reasoning and problem-solving ability.

• Individual contributor, not a senior manager.

• Energetic, “roll-up-your-sleeves” attitude.

• Comfortable handling unglamorous tasks to drive results