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Data Analytics Jobs in Springfield, MA (NOW HIRING)

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. * Performs requirements ...

Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ... Utilize data-driven insights to recommend significant changes and process improvements. * Process ...

Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ... Utilize data-driven insights to recommend significant changes and process improvements. * Process ...

Data Analyst

Windsor, CT · On-site

$30 - $40/hr

Junior / Mid-Level Data & Integration Analyst (API / SQL / Power BI) Location : Windsor, CT 06095 Duration: 6 months The selected candidate needs strong experience in APIs, SQL, data integration, and ...

Sr..Data Analyst/SAS Reporting

Hartford, CT · On-site

$86K - $109K/yr

Keylent Inc is seeking a Senior Data Analyst/SAS Reporting to support the National Quality ... Company : Keylent provides Software Development Services in the Cloud, Analytics and Digital ...

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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Data Analytics information

See Springfield, MA salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Springfield, MA is $54.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Springfield, MA?

The most popular types of Data Analytics jobs in Springfield, MA are:

What are popular job titles related to Data Analytics jobs in Springfield, MA?

For Data Analytics jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Springfield, MA look for?

The top searched job categories for Data Analytics jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Data Analytics jobs?

Cities near Springfield, MA with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Springfield, MA as of August 2026, with employment types broken down into 68% Full Time, 28% Part Time, and 4% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $113,475 per year, or $54.6 per hour.

Associate Director, Data Analytics

Hartford, CT • Remote


IQVIA
Health Care and Social Assistance • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

63rd of 226 rated it services

People enjoy working here

Good employer

Paid breaks


Full-time

Posted 7 days ago


Job description

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance, and strategic decision-making across healthcare and life sciences. This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering and governance standards, and partners with Product, Engineering, Sales, and client stakeholders to grow and modernize analytics capabilities.


This leader is expected to operate effectively in a matrix environment, balance competing priorities, and communicate clearly and diplomatically with senior internal and client leaders while driving measurable outcomes.

Key Responsibilities
People Leadership & Operating Model
Lead, hire, coach, and retain a high-performing team; set goals, provide feedback, and drive career development.
Establish operating rhythms and delivery governance (planning, prioritization, design reviews, release readiness, incident/defect triage) to ensure predictable execution and quality.
Drive a culture of accountability, documentation, and continuous improvement across teams and partners.
Data & Analytics Products (Build + Scale)
Own the end-to-end lifecycle of data and analytics products-from discovery through build, release, adoption, and operations-delivering reusable capabilities with measurable business impact.
Build product-grade data foundations (canonical models, curated datasets, semantic layers, governed metrics) and reference data (e.g., MDM/hierarchies) to ensure consistency and reuse.
Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD, automated testing, documentation, and runbooks.
Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and operations at scale using Python, SQL and orchestration (Airflow/ADF or equivalent).
Provide governed analytics experiences (dashboards, self-service datasets, alerting) for compliance KPIs, variance analysis, and executive decisioning.
Embed healthcare-grade data trust: definitions/lineage, access controls, privacy-by-design (PHI/PII where applicable), and data quality monitoring with root-cause remediation.
Incorporate agent-enabled capabilities where they improve usability and speed-to-insight (e.g., agent-assisted Q&A, summaries/insights, guided workflows) using enterprise-supported approaches and enablement resources.
Program Delivery & Client Outcomes
Own scope, milestones, acceptance criteria, dependencies, and risk/issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.
Translate regulatory and business changes into actionable delivery plans; communicate tradeoffs, decisions needed, and mitigation plans to senior stakeholders.
Define measurable success criteria and track outcomes (e.g., reduced manual effort, improved audit readiness, increased adoption of governed data products).
Business Development & Practice Growth
Own or co-lead RFPs: solution strategy, win themes, response authoring, compliance matrices, and executive summaries; partner with BD/Sales to shape proposals.
Lead client demos/pilots/orals; contribute reusable assets and accelerators that increase speed-to-value and differentiation.
Build and maintain senior client relationships; identify expansion opportunities and translate them into scalable offerings and roadmap items.
Strategic & Innovation Leadership
Maintain the analytics/platform roadmap and architecture guardrails to drive modernization, interoperability, security, and scalability.
Evaluate and adopt emerging technologies (including AI/ML and agentic patterns) where they measurably improve delivery efficiency, insight generation, or customer outcomes.
Qualifications (Required)
Bachelor's degree in a relevant field or equivalent experience.
Proven people leadership and delivery ownership in a matrix environment.
Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent).
Strong stakeholder communication/presentation; calm, assertive, and diplomatic.
Business acumen: planning, prioritization, and financial awareness.

Qualifications (Preferred)
Experience leading data governance / metadata / lineage / stewardship operating models.
Healthcare/life sciences exposure where compliance/auditability are critical.
Experience delivering governed semantic models and self-service analytics.
RFP/orals and client solutioning leadership.

This is a remote/WFH opportunity available to candidates currently residing within the United States.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $84,400.00 - $235,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US


What IQVIA employees say

Pay

Benefits

Hours and flexibility

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