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

CAFM CAD Analyst

Yorktown Heights, NY · On-site +1

$20.75 - $28.50/hr

Facilitate and resolve data processing issues identified in customer planning meetings ... Remote -Atlanta, GA, Austin, TX, Chicago, IL, Columbus, OH, Coral Gables, FL, Dallas, TX, ...

CAFM CAD Analyst

Poughkeepsie, NY · On-site +1

$19.25 - $26.50/hr

Facilitate and resolve data processing issues identified in customer planning meetings ... Remote -Atlanta, GA, Austin, TX, Chicago, IL, Columbus, OH, Coral Gables, FL, Dallas, TX, ...

Lead and mentor a team of remote consultants, supporting their development and optimizing workload ... Conduct critical path analysis, schedule reviews, and coordination meetings with project teams and ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Data Infrastructure & Governance * Build and maintain semantic models and data pipelines in ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Data Infrastructure & Governance * Build and maintain semantic models and data pipelines in ...

This role requires a strong understanding of secure data exchange, industrial protocols, remote ... Perform market research, competitive analysis, and customer discovery to validate requirements and ...

VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... analytics, and an exceptional retail network to deploy solutions that simplify the compliant ... data stores, implementations, tech stack selections, and build versus buy decisions. You will have ...

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Remote Data Analyst information

See Fishkill, NY salary details

$33.9K

$82.4K

$135.7K

How much do remote data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data analyst in Fishkill, NY is $82,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,800.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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 do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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.

What are the most commonly searched types of Data Analyst jobs in Fishkill, NY? The most popular types of Data Analyst jobs in Fishkill, NY are:
What cities near Fishkill, NY are hiring for Remote Data Analyst jobs? Cities near Fishkill, NY with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Fishkill, NY as of July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $82,438 per year, or $39.6 per hour.

SR AD, Data Strategy & Innovation (Remote)

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, CT • On-site, Remote

$170K - $269K/yr

Full-time

Posted 5 days ago


Job description

Compensation Data
The base salary range for this position is $170,000 to $269,000. The position may be eligible for a role specific discretionary bonus, relocation, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, and qualifications, and other factors permitted by law. For an overview of our benefits please click here.
Description
The Senior AD, Data Strategy and Innovation will conduct and lead advanced analytical initiatives to uncover new business opportunities and insights. Advise stakeholders and provide actionable strategic recommendations based on findings. Identify, standardize and automate integration of critical reporting metrics and modeling tools and adapt current reports and metrics to support evolving business needs and opportunities. Provide consultation on reports to ensure their use and effectiveness among users.
  • Data Strategy and Innovation
  • Responsible for Innovation of new data sets as well as new advanced data models
  • Identification and Evaluation of New Analytical Data sets
  • New Innovated Data Models that will assist the PM Analytical Organization

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees
Duties & Responsibilities
  • Data Strategy and Innovation: Responsible for Innovation of new / existing data sets as well as advanced data models. Assist with leadership on the cross functional data governance / strategy committee. Leads the development/implementation/management data related tools. Responsible for accurate and continuous improvement of the PM Data warehouse.
  • Data Strategy: Identification and Evaluation of New Analytical Data sets. Understands business needs to inform data related decisions. Accountable for the key initiatives related to data consumption. Actively leads and participates in defining and driving solutions for the Data and Analytic planning and execution process. Ensures coordination with Sr. Leadership across PM and key support partners to establish and ensure process for Data and Analytic project prioritization.
  • Data Strategy and Innovation: New Innovated Data Models that will assist the PM Analytical Organization. Support execution and delivery of all field and marketing analytical business needs. Establish policies, procedures and plans to support PM's changing process and execution needs and participate directly or through other members of the Data Governance and PM Reporting department.
  • Ensures that corporate standards of excellence and compliance are upheld and performs all Company business in accordance with all regulations (e.g. EEO, FDA, OSHA, PDMA, EPA, PhRMA, SCIP etc.) and Company policies and procedures. Immediately reports noted/observed violations to management. Demonstrates high ethical and professional standards at all times in order to main BIPI's excellent reputation within the medical and pharmaceutical community.
  • Data Quality - Accountable for data quality, architects a data quality system that ensures complete, timely and accurate data. Continually monitors and re-assesses the marketplace for future data needs.

Requirements
  • BS/BA from an accredited institution with nine (9) years or Master's from an accredited institution with seven (7) years' experience in Pharma Industry with a working knowledge of ROI/sales force modeling, call planning, targeting/segmentation, data governance and reporting
  • One (1) to three (3) years project management experience
  • Lead people without authority
  • Deliver results
  • Customer focus
  • Team work & collaboration.
  • Previous managerial and project management experience.
  • Demonstrated success in managing large-scale cross-functional projects.

Desired Skills, Experience and Abilities
  • Highly analytical and expert in data governance, data management, Field Force Sizing, call planning, targeting and segmentation and reporting.