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Assistant Data Analyst Jobs in Springfield, MA (NOW HIRING)

Nassau

Analyst (Business Data Management)

Hartford, CT · On-site

Principal Duties and Responsibilities * Assist with defining and writing requirements, coding ... Bachelor's degree in Computer Science, Statistics, Data Analytics, Actuarial-related or other job ...

Archgroup

VP, Reserving Innovation & Data

Hartford, CT · Hybrid

$200K - $250K/yr

Its mission is to elevate how data and analytics are leveraged across Reserving. The team will serve as both a center of expertise and a catalyst for innovation, efficiency, and more sophisticated ...

Archgroup

VP, Reserving Innovation & Data

Hartford, CT · Hybrid

$200K - $250K/yr

Its mission is to elevate how data and analytics are leveraged across Reserving. The team will serve as both a center of expertise and a catalyst for innovation, efficiency, and more sophisticated ...

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All JobsAssistant Data Analyst JobsAssistant Data Analyst Jobs in Springfield, MA

Assistant Data Analyst information

See Springfield, MA salary details

$27.9K

$71.3K

$136.4K

How much do assistant data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for assistant data analyst in Springfield, MA is $71,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $83,100.00 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 Springfield, MA? The most popular types of Data Analyst jobs in Springfield, MA are:
What are popular job titles related to Assistant Data Analyst jobs in Springfield, MA? For Assistant Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analyst jobs in Springfield, MA look for? The top searched job categories for Assistant Data Analyst jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Assistant Data Analyst jobs? Cities near Springfield, MA with the most Assistant Data Analyst job openings:
Assistant Data Analyst jobs near you

Product Data Analyst

NEFCO Construction Supply LLC

East Hartford, CT • On-site

Other

Posted 4 days ago

Job description

Description

At NEFCO, we are building more than a distribution network-we are building the future of construction supply. As we continue our growth journey from $1 billion to $5 billion, high-quality product data is critical to delivering exceptional customer experiences, operational excellence, and scalable growth.


We are seeking a Product Data Analyst who is detail-oriented, analytical, and passionate about turning data into a strategic advantage. In this role, you will help maintain, enrich, and optimize product information across multiple systems while driving automation, improving data quality, and supporting enterprise-wide data governance initiatives.


If you enjoy solving complex data challenges, collaborating across departments, and building processes that scale, we'd love to hear from you.

What You'll Do

Product Data Management

  • Maintain and enrich product  attributes including descriptions, specifications, classifications, images, dimensions, and identifiers (UNSPSC, GTIN, MPN) across ERP, PIM, and related systems. 
  • Source and validate missing product information from suppliers, manufacturers, and third-party data providers. 
  • Support new product onboarding by reviewing, validating, and enriching product data before deployment to downstream systems. 
  • Ensure product information  remains accurate, consistent, and aligned across all platforms. 

Data Quality & Governance

  • Apply data quality standards and perform routine audits to identify gaps, inconsistencies, duplicates, and compliance issues. 
  • Monitor and improve data completeness, accuracy, and consistency through established governance practices. 
  • Build and maintain dashboards and reporting tools to track data quality KPIs, enrichment progress, and operational performance. 
  • Help establish best practices, ownership models, and documentation for product data management. 

Process Improvement & Automation

  • Utilize SQL, Excel, Power Query, ETL tools, and AI-assisted technologies to automate data preparation, validation, and maintenance processes. 
  • Identify opportunities to reduce manual effort and improve scalability through workflow automation. 
  • Support ERP, PIM, and master data management initiatives that improve efficiency and data reliability. 
  • Assist with supplier integrations, catalog syndication, and product content distribution projects. 

Cross-Functional Collaboration

  • Partner with Pricing, Supply Chain, Sales, Operations, Marketing, and IT teams to understand business requirements and translate them into actionable data solutions. 
  • Serve as a trusted resource for product data expertise across the organization. 
  • Train users on data standards, self-service reporting tools, and best practices.  

Requirements

Qualifications

  • Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field (or equivalent experience). 
  • 2-4 years of experience in product data management, master data management, catalog operations, analytics, or a related role. 
  • Strong SQL skills and advanced Excel proficiency, including Pivot Tables, Power Query, lookups, and data validation techniques. 
  • Experience working with ERP, PIM, or other enterprise data management systems. 
  • Understanding of ETL processes, data transformation, and workflow automation concepts. 
  • Strong analytical and problem-solving skills with exceptional attention to detail. 
  • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment. 
  • Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. 
  • Experience with business intelligence tools such as Power BI, Tableau, or similar platforms. 
  • Knowledge of Python or other scripting languages for automation and data manipulation. 
  • Experience working with APIs, ETL pipelines, FTP/SFTP integrations, or other data exchange technologies. 
  • Familiarity with Epicor Eclipse, Salsify, or similar ERP/PIM platforms. 
  • Experience in industrial distribution, manufacturing, construction supply, or wholesale environments. 
  • Exposure to AI-powered data enrichment tools, machine learning, or large language models (LLMs). 
  • Understanding of product taxonomy management, classification systems, and data governance frameworks. 

What Success Looks Like

In this role, you will help create a trusted product data ecosystem that enables better decision-making and supports NEFCO's continued growth. Success means:

  • Product data is complete, accurate, consistent, and easily accessible. 
  • Data quality issues are identified and resolved proactively through scalable processes. 
  • Automation reduces manual work and improves operational efficiency. 
  • New product onboarding is streamlined, standardized, and repeatable. 
  • Stakeholders across the business have confidence in the integrity and reliability of product data. 
  • Data governance standards are clearly defined, adopted, and sustained.

Apply