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Software Engineer Data Analyst Jobs in Poughkeepsie, NY

Software Developer Intern

Poughkeepsie, NY · On-site

$19 - $25/hr

... storage, data protection, automation, security, and systems management products. You will ... Participate in the full software development lifecycle, including requirements analysis, design ...

Software Developer Intern

Poughkeepsie, NY · On-site

$19 - $25/hr

... storage, data protection, automation, security, and systems management products. You will ... Participate in the full software development lifecycle, including requirements analysis, design ...

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Showing results 1-20

Software Engineer Data Analyst information

See Poughkeepsie, NY salary details

$44K

$128.2K

$175.4K

How much do software engineer data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for software engineer data analyst in Poughkeepsie, NY is $128,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities near Poughkeepsie, NY are hiring for Software Engineer Data Analyst jobs?

Cities near Poughkeepsie, NY with the most Software Engineer Data Analyst job openings:

Data Analyst - Full Time, Year Round

Mohonk Mountain House

New Paltz, NY • On-site

$75K/yr

Full-time

Posted 19 days ago


Job description

Job Title: Resort Data Analyst

Location: Mohonk Mountain House, New Paltz, NY
Department: Finance
Employment Type: Full-Time on site


Job Summary

We are seeking an analytical and detail-oriented Resort Data Analyst to join our Business Intelligence team. In this role, you will transform raw data from guest bookings, point-of-sale systems, and operational metrics into actionable business strategies. Your analysis will directly influence our pricing models, labor efficiency, operations, and overall guest satisfaction. The ideal candidate bridges the gap between technical data engineering and executive decision-making.


Core Responsibilities

  • Performance Metrics: Track, analyze, and report on core hospitality metrics, including Occupancy rates, Average Daily Rate (ADR), RevPAR, and TrevPAR.
  • Operational Reporting: Evaluate labor efficiency, department payroll variances, and operational expenses against seasonal guest volume forecasts.
  • Dashboard Creation: Design, build, and maintain automated dashboards and data visualizations for department heads and executive leadership.
  • Guest Analytics: Synthesize feedback from post-stay satisfaction surveys, ticketing systems, and digital touchpoints to isolate areas for service improvement.
  • Data Quality: Extract, clean, and validate data across disjointed legacy platforms to ensure reporting accuracy and database integrity.


Required Technical Skills

  • SQL Mastery: Advanced ability to write complex queries, joins, and data transformations.
  • Business Intelligence Tools: Direct experience developing interactive reports in platforms like Tableau, Power BI, or Looker.
  • Advanced Excel: Expert-level capability with spreadsheet modeling, nested formulas, power queries, and macro automations.
  • Hospitality Systems: Hands-on familiarity with Property Management Systems (PMS) or Point of Sale (POS) tools is highly preferred.


Qualifications & Education

  • Education: Bachelor’s degree in Data Analytics, Statistics, Finance, Hospitality Management, or a related quantitative field.


Salary 

$75,000+