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Data Analyst Jobs in Fishkill, NY (NOW HIRING)

Aptino

Data Analyst - Pharma

Poughkeepsie, NY · On-site

Data Analyst - Pharma Location: Titusville, NJ (Onsite) Duration: 12 Months Position Overview: We are seeking a detail-oriented Data Analyst with experience in the pharmaceutical, biotechnology, or ...

All JobsData Analyst JobsData Analyst Jobs in Fishkill, NY

Data Analyst information

See Fishkill, NY salary details

$33.9K

$82.4K

$135.7K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for 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.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
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 job categories do people searching Data Analyst jobs in Fishkill, NY look for? The top searched job categories for Data Analyst jobs in Fishkill, NY are:
What cities near Fishkill, NY are hiring for Data Analyst jobs? Cities near Fishkill, NY with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Fishkill, NY as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 75% In-person, 9% Hybrid, and 16% Remote job distribution, with an average salary of $82,438 per year, or $39.6 per hour.
Data Analyst - Pharma

Data Analyst - Pharma

Aptino

Poughkeepsie, NY • On-site

Other

Posted 5 days ago

Job description

Role: Data Analyst – Pharma

Location: Titusville, NJ (Onsite)
Duration: 12 Months

<>Position Overview:

We are seeking a detail-oriented Data Analyst with experience in the pharmaceutical, biotechnology, or life sciences industry to support data-driven initiatives across clinical, commercial, and research operations. The ideal candidate will have strong analytical and database skills, experience working with regulated datasets, and the ability to transform complex data into actionable business insights.

<>Key Responsibilities:

  • Collect, validate, analyze, and interpret large volumes of clinical, commercial, and scientific data using statistical methods and programming tools.
  • Design and enhance data collection, reporting, and analytical processes to improve operational efficiency and data quality.
  • Develop, maintain, and optimize databases and reporting environments while ensuring data accuracy and consistency.
  • Partner with business users and cross-functional teams to identify, investigate, and resolve data discrepancies within regulated environments.
  • Perform data quality checks, validation, cleansing, and integrity assessments for imported and existing datasets.
  • Manage the lifecycle of business datasets, including creation, maintenance, archival, and retirement activities.
  • Prepare dashboards, reports, and analytical summaries to support strategic and operational decision-making.
  • Support enterprise data warehouse initiatives, metadata management, and data governance activities.
  • Assist with testing, implementation, and validation of new reporting tools, software enhancements, and analytics platforms.
  • Troubleshoot reporting issues, evaluate source system changes, and ensure seamless integration with downstream reporting processes.
  • Provide technical guidance on data modeling, storage, mining, and transformation techniques.
  • Deliver user training and documentation for reporting tools and dashboards while promoting best practices in data management.

<>Required Qualifications:

  • Bachelor''''s degree in Computer Science, Information Systems, Data Analytics, Life Sciences, or a related field.
  • Experience working with pharmaceutical, biotechnology, healthcare, or life sciences datasets.
  • Strong analytical, problem-solving, and data interpretation skills with exceptional attention to detail.
  • Ability to analyze structured and complex datasets and deliver meaningful business insights.
  • Excellent organizational, communication, and stakeholder collaboration skills.
  • Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

<>Preferred Skills:

  • 2+ years of experience in data analysis, business intelligence, data science, or data warehousing.
  • Strong hands-on experience with SQL, PL/SQL, Oracle, PostgreSQL, MySQL, and Python.
  • Experience developing reports and dashboards using Power BI, Qlik, SQL Developer, or Visual Studio.
  • Knowledge of Entity-Relationship (ER) modeling and relational database design.
  • Familiarity with structured, semi-structured, and unstructured healthcare or pharmaceutical data, including clinical records, safety data, commercial datasets, and research information.
  • Understanding of data governance, normalization, compliance, and quality assurance practices within regulated environments.

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