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Entry Level Data Analyst Travel Jobs in Springfield, MA

... Data Analysis Overview The Infosys Healthcare unit is dedicated to transforming the healthcare ... or travel to work/project location. • Candidates authorized to work for any employer in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... S., and travel 10-20%. Responsibilities: * Deliver high-impact analytics: partner with cross ...

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... S., and travel 10-20%. Responsibilities: * Deliver high-impact analytics: partner with cross ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Analyst Travel information

See Springfield, MA salary details

$13

$32

$61

How much do entry level data analyst travel jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry level data analyst travel in Springfield, MA is $32.81, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.63 per hour, depending on experience, location, and employer.

What is an entry level data analyst travel?

An entry level data analyst (travel) is a professional who collects, processes, and interprets data related to the travel industry or travel operations. They typically work with raw data from bookings, customer feedback, and travel trends to help companies make informed decisions. Their responsibilities may include creating reports, identifying patterns, and supporting business strategy. This role is ideal for recent graduates or those new to data analysis who are interested in the travel sector.

What are some typical challenges entry level data analysts face when working in a travel-focused organization?

Entry level data analysts in the travel industry often encounter large and complex datasets from multiple sources, such as booking platforms, customer feedback, and travel logistics systems. Navigating inconsistent data formats and ensuring data accuracy can be challenging, especially when integrating information from international markets. Additionally, analysts must quickly learn to interpret travel-specific trends, such as seasonality or regional preferences, and collaborate closely with marketing, operations, and customer service teams to provide actionable insights. Building effective communication skills to explain findings to non-technical stakeholders is also a key part of the role.

What is the difference between Entry Level Data Analyst Travel vs Data Analyst?

AspectEntry Level Data Analyst TravelData Analyst
Required CredentialsBachelor's in related field, basic Excel, SQL knowledgeBachelor's or higher, SQL, Excel, possibly some certifications
Work EnvironmentTraveling to client sites, remote work, or office-basedOffice setting, remote, or hybrid
Employer & Industry UsageConsulting firms, travel-heavy industries, client-facing rolesVarious industries including finance, healthcare, tech
Search & Comparison IntentLooking for entry-level travel roles in data analysisGeneral data analysis roles, possibly non-travel

Entry Level Data Analyst Travel focuses on roles requiring travel and client interaction, often in consulting or service industries, with similar credentials to general data analyst roles. Data Analyst positions may be office-based or remote, with broader industry applications. The main difference lies in the travel requirement and work environment.

What are the key skills and qualifications needed to thrive as an entry level data analyst travel?

To thrive as an Entry Level Data Analyst in the travel industry, you need strong analytical skills, foundational knowledge of statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like Excel, SQL, and Tableau, along with basic programming skills in Python or R, is typically required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for interpreting data and sharing insights with diverse teams. These competencies enable data-driven decision-making and help optimize travel operations and customer experiences.
What are the most commonly searched types of Data Analyst Travel jobs in Springfield, MA? The most popular types of Data Analyst Travel jobs in Springfield, MA are:
What are popular job titles related to Entry Level Data Analyst Travel jobs in Springfield, MA? For Entry Level Data Analyst Travel jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst Travel jobs in Springfield, MA look for? The top searched job categories for Entry Level Data Analyst Travel jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Entry Level Data Analyst Travel jobs? Cities near Springfield, MA with the most Entry Level Data Analyst Travel job openings:
Infographic showing various Entry Level Data Analyst Travel job openings in Springfield, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Job details
Job Role
Technology Consultant 1
Career Role
Technology Analyst - US
Work Location
Hartford, CT
State / Region / Province
Connecticut
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
150050BR
Technical Skills 1
Technology|Analytics - Solutions|SQL Server - Analytics
Technical Skills 2
Technology|SQL SSIS|SQL Server
Technical Skills 3
Technology|Analytics - Solutions|SQL Server - Analytics
Technical Skills 4
Technology|Analytics - Techniques|Panel Data Analysis
Overview
The Infosys Healthcare unit is dedicated to transforming the healthcare industry by leveraging cutting-edge AI-driven solutions to simplify complexities and enhance patient experiences. We focus on creating connected ecosystems, optimizing operations, and delivering superior care across all touchpoints. Join us to be a part of a team that is at the forefront of healthcare innovation, driving down costs while improving patient outcomes.
In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below:
• Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
• Participate in design discussions to capture software specifications, and aid in creation of process documentation.
• Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
• Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
• Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
• Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
• Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository
Your contribution to the team:
• An agile mindset with effective communication and problem-solving skills.
• The ability to work on majority of the areas as part of SDLC lifecycle
• Passion for innovating solutions that drive progress and meet future challenges.
• A proactive approach to monitoring and resolving production issues before they escalate.
• Commitment to continuous learning, knowledge sharing, and fostering team development
Required Skill and Experience
Strong experience in Data Analyst role
SQL skills
Data analysis and interpretation
Preferred Skill and Experience
Strong experience in Data Analyst role
SQL skills
Data analysis and interpretation
SSIS and SSRS skills
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.