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

MANTECH

Senior Data Scientist

Springfield, MA

... analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide ... Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics ...

TicketNetwork

Director of Data and AI

South Windsor, CT · On-site

... with executive leadership to identify how data and AI can transform lending, operations, analytics, and customer experience. Data Governance, Ownership & Quality • Establish and enforce an ...

Archgroup

VP, Reserving Innovation & Data

Hartford, CT · Hybrid

$200K - $250K/yr

... executives * Flexibility - able to meet changing requirements and priorities Education * College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics ...

Archgroup

VP, Reserving Innovation & Data

Hartford, CT · Hybrid

$200K - $250K/yr

... executives * Flexibility - able to meet changing requirements and priorities Education * College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics ...

Canon USA & Affiliates

Executive Assistant

Hartford, CT · On-site

$73K/yr

Compile and research data for report preparation. * May create, maintain, update, and reconcile detailed analyses for reports required or requested by executive management. * In executive's absence ...

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All JobsData Analyst JobsExecutive Data Analyst JobsExecutive Data Analyst Jobs in Springfield, MA

Executive Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do executive data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for executive data analyst in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

Executive Data Analysts typically do not earn $1,000,000 annually; such high salaries are usually found in top executive roles like CEOs, CFOs, or successful entrepreneurs. High earnings in data-related fields may occur with significant bonuses, stock options, or in leadership positions within large corporations, but reaching the million-dollar mark is rare for standard data analyst roles. Advanced skills, extensive experience, and strategic responsibilities are often required for such compensation levels.

What are Executive Data Analysts?

Executive Data Analysts are highly skilled professionals who collect, analyze, and interpret complex data to support strategic decision-making at the executive level. They transform raw data into actionable insights, often preparing reports and presentations for senior leadership. Their work helps organizations identify trends, forecast outcomes, and make data-driven decisions that align with business goals. Executive Data Analysts typically have strong analytical, technical, and communication skills, and frequently collaborate with executives, managers, and other stakeholders.

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

To thrive as an Executive Data Analyst, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a bachelor's or master's degree in a quantitative field. Proficiency with tools like SQL, Python, R, and advanced data visualization platforms such as Tableau or Power BI is typically required, along with relevant certifications. Strong communication, critical thinking, and presentation skills help you translate complex data insights for executive decision-makers. These skills are crucial for driving strategic initiatives and enabling data-driven decision-making at the highest organizational levels.

What is a data analyst executive?

An executive data analyst is a senior professional responsible for analyzing complex data sets to support strategic decision-making within an organization. They often lead data teams, utilize advanced tools like SQL and data visualization software, and have strong analytical and leadership skills. This role typically requires extensive experience in data analysis and may involve overseeing data projects and reporting to executive management.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Data analysts will increasingly work alongside AI, focusing on higher-level analysis, storytelling, and decision support skills.

What is the difference between Executive Data Analyst vs Data Scientist?

AspectExecutive Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, business, or related field; often certifications in data toolsBachelor's or master's in data science, statistics, or related; often advanced certifications
Work EnvironmentCorporate offices, business units, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, e-commerce, research
Common Search & ComparisonYesYes

Executive Data Analysts focus on interpreting data to support business decisions, often with a managerial perspective. Data Scientists develop complex models and algorithms for predictive analytics. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and education. The roles overlap in data analysis but differ in scope and technical depth.

What jobs pay 200,000 a year in the USA?

Executive Data Analysts, along with roles like data science managers, senior software engineers, and investment bankers, can earn $200,000 or more annually in the USA. These positions typically require advanced skills, extensive experience, and often involve leadership or specialized technical expertise. Compensation varies based on industry, location, and company size.

What are some common challenges Executive Data Analysts face when presenting insights to senior leadership?

Executive Data Analysts often encounter the challenge of translating complex data findings into clear, actionable insights for senior leadership. Communicating technical results in a concise and strategic manner, tailored to high-level business goals, requires strong storytelling and visualization skills. Additionally, balancing the need for data accuracy with tight deadlines and shifting priorities can be demanding. Collaborating closely with cross-functional teams, such as finance and operations, is essential to ensure recommendations are aligned with organizational objectives.
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 Executive Data Analyst jobs in Springfield, MA? For Executive Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Executive Data Analyst jobs in Springfield, MA look for? The top searched job categories for Executive Data Analyst jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Executive Data Analyst jobs? Cities near Springfield, MA with the most Executive Data Analyst job openings:
Executive Data Analyst jobs near you

Data Analyst

Futran Tech Solutions Pvt. Ltd.

Hartford, CT • On-site

Full-time

Re-posted 13 days ago

Job description

Role: Data Analyst
Location: Hartford, CT (Hybrid Mode)
Job Description:
Responsible for collecting, analyzing, and interpreting large datasets to identify trends and patterns. Perform data cleaning, transformation, and validation to guarantee data accuracy. Your role will involve generating reports and dashboards to provide actionable insights to stakeholders. You will collaborate with cross-functional teams to understand data needs and deliver effective solutions. Conducting statistical analysis and predictive modeling will be essential to support decision-making processes.
Technical Skills:
Advanced SQL , Python
  • Health Insurance + Contact Center domain experience
  • Salesforce (Service Cloud, Reporting, Admin experience helpful)
  • GCP
    • ETL pipeline development in Big Query (Data cleaning and transformation )
    • GCP data engineering experience : Big Query, Repositories, Looker studio, IAM policies.
  • Tableau

o Create and maintain Executive dashboards.
o Alerts and Reports
o Tableau Server Administration (maintaining refresh schedules, data prep and connections, server administration, performance optimization)

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