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Assistant 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 ... * Assist with testing, implementation, and validation of new reporting tools, software ...

Crystal Run Healthcare

Data Architect

Middletown, NY · On-site

$64 - $82.25/hr

The Data Architect position requires a high level of analytical and creative skills, along with in ... entire BI System. * Assist with optimizing source system replication models and operations

Crystal Run Healthcare

Data Architect

Middletown, NY · On-site

$64 - $82.25/hr

The Data Architect position requires a high level of analytical and creative skills, along with in ... entire BI System. * Assist with optimizing source system replication models and operations

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets ... Internal, collaborative, and public databases to assist in the characterization of immune disease

Production Resource Group Llc

ERP Analyst

New Windsor, NY · Hybrid

$105K - $110K/yr

Diagnose and troubleshoot problems with existing ERP functionality including logging support cases with the software vendor. * Assist in design of reports required by users and perform data analysis ...

Production Resource Group Llc

ERP Analyst

New Windsor, NY · On-site

$105K/yr

Diagnose and troubleshoot problems with existing ERP functionality including logging support cases with the software vendor. * Assist in design of reports required by users and perform data analysis ...

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All JobsData Analyst JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Fishkill, NY

Assistant Data Analyst information

See Fishkill, NY salary details

$27.9K

$71.5K

$136.7K

How much do assistant data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for assistant data analyst in Fishkill, NY is $71,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $83,300.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an Assistant Data Analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an Assistant Data Analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
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 Assistant Data Analyst jobs in Fishkill, NY look for? The top searched job categories for Assistant Data Analyst jobs in Fishkill, NY are:
What cities near Fishkill, NY are hiring for Assistant Data Analyst jobs? Cities near Fishkill, NY with the most Assistant Data Analyst job openings:
Assistant Data Analyst jobs near you
Infographic showing various Assistant Data Analyst job openings in Fishkill, NY as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $71,498 per year, or $34.4 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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