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

Senior Data Analyst

Windsor, CT · On-site

$85K - $107K/yr

Senior Data Analyst Location: Windsor, CT (5 Days from office) Role Description: Isoft is looking for a Senior Data Analyst to lead analytical initiatives, design advanced reporting solutions, and ...

Senior Data Analyst

Windsor, CT · On-site

$85K - $107K/yr

Perform deep-dive data analysis to identify business opportunities, risks, and performance drivers ... Present insights and recommendations to senior leadership in a clear, concise manner. * Contribute ...

Senior Data Analyst Location: Windsor CT-(5 Days office Onsite) Rate: $ DOE Role Overview We are looking for a Senior Data Analyst to lead analytical initiatives, design advanced reporting solutions ...

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to work on USM W2 ...

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... Sr. Business Data Consultant to join us. The ideal candidate will demonstrate exceptional ... analysis, and strong SQL abilities to gather required data from various data sources. You will ...

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

Senior Data Architect Location: Windsor, CT (5 Days from office) Experience: 10+ Years About the ... Build conceptual, logical, and physical data models to support analytics * Drive cloud adoption and ...

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

Senior Data Architect Location: Windsor, CT (5 Days from office) Experience: 10+ Years About the ... Build conceptual, logical, and physical data models to support analytics * Drive cloud adoption and ...

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

Senior Data Architect Location: Windsor, CT (5 Days from office) Experience: 10+ Years About the ... Build conceptual, logical, and physical data models to support analytics * Drive cloud adoption and ...

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

Senior Data Architect Location : Windsor, CT (5 Days from office) Duration: Contract Rate : DOE We ... support analytics · Drive cloud adoption and modernization initiatives · Establish data ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Analyze source data and data flows, working with structured and unstructured data. * Build data ...

Senior Data Engineer

Hartford, CT · Remote

$106K - $145K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

New

Senior Data Scientist

Hartford, CT · On-site

$110K - $166K/yr

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance ... What You Will Do Model Development & Analytics Contribute and lead key phases of end-to-end model ...

The Data Analyst will own production reporting, demand planning analytics, KPI dashboards, and financial reporting workflows, translating raw operational data into clear, actionable insights that ...

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

Senior Data Architect Location: Windsor, CT (Onsite) Experience: 10+ Years Key Responsibilities ... Build conceptual, logical, and physical data models to support analytics * Drive cloud adoption and ...

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 ...

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Showing results 1-20

Senior Data Analyst information

See Springfield, MA salary details

$53.5K

$96.6K

$131.9K

How much do senior data analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for senior data analyst in Springfield, MA is $96,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $105,600.00 per year, depending on experience, location, and employer.

Are you a senior at 55?

Age does not determine whether someone can be a senior data analyst; experience, skills, and qualifications are the primary factors. Many professionals continue to work in data analysis roles well into their 50s and beyond, often bringing valuable industry knowledge. Employers typically focus on relevant expertise, certifications, and ability to perform the job rather than age.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What should a 70 year old be doing every day at home?

A senior data analyst at 70 can engage in daily activities that promote mental and physical well-being, such as reading, light exercise, and hobbies. Staying socially connected and maintaining a routine can support overall health and cognitive function, which are important for continued productivity and engagement at any age.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

How often should a 75 year old woman take a shower?

A senior data analyst role does not influence personal hygiene routines; generally, a 75-year-old woman should shower as needed for cleanliness, typically every 1-3 days, depending on personal health, activity level, and skin condition. Regular bathing helps maintain hygiene and skin health, but frequency can vary based on individual preferences and medical advice.

In what grade is senior?

The term 'senior' in the job title Senior Data Analyst typically indicates a higher level of experience and responsibility within the role, often requiring several years of relevant work experience and advanced skills in data analysis tools like SQL, Python, or R. It does not correspond to a specific grade or educational level but reflects a seniority level in the professional hierarchy.
More about Senior Data Analyst jobs
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 Senior Data Analyst jobs in Springfield, MA? For Senior Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Senior Data Analyst jobs? Cities near Springfield, MA with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Springfield, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,579 per year, or $46.4 per hour.
Senior Data Analyst

Senior Data Analyst

ISOFT

Windsor, CT • On-site

$85K - $107K/yr

Other

Posted 3 days ago


Job description

Role: Senior Data Analyst

Location: Windsor, CT (5 Days from office)

Role Description:

Isoft is looking for a Senior Data Analyst to lead analytical initiatives, design advanced reporting solutions, and deliver actionable insights that drive strategic decision-making. The ideal candidate will work closely with business leaders, data engineers, and BI teams to ensure high-quality, accurate, and timely data analysis.

Key Responsibilities :

  • Lead the design and development of reports, dashboards, and data visualizations using Power BI, Tableau, or similar tools .

  • Perform deep-dive data analysis to identify business opportunities, risks, and performance drivers.

  • Partner with stakeholders to define KPIs, metrics, and reporting standards.

  • Guide junior analysts and provide mentorship on analytical best practices.

  • Collaborate with ETL and data engineering teams to ensure data integrity, consistency, and availability in Snowflake and other sources.

  • Conduct advanced SQL-based queries and optimize performance for large datasets.

  • Present insights and recommendations to senior leadership in a clear, concise manner.

  • Contribute to the design of self-service reporting frameworks for business users.

  • Ensure compliance with data governance, security, and privacy policies.

  • Stay current with emerging tools and techniques to improve analytics capabilities.

Required Skills & Qualifications :

  • 710 years of experience as a Data Analyst or in a similar analytical role.

  • Advanced expertise in SQL and working with relational and cloud data warehouses (Snowflake preferred).

  • Proficiency in BI tools ( Power BI, Tableau, Qlik ) with proven dashboard development experience.

  • Strong analytical and problem-solving skills with the ability to interpret complex datasets.

  • Solid understanding of data modeling, ETL processes, and data warehousing concepts .

  • Proficiency in Excel (advanced formulas, macros, pivot tables).