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Entry Level Bilingual Data Analyst Jobs in Springfield, MA

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

Other responsibilities will include a data coordination and analysis component. Benefits include ... Bilingual (English/Spanish) written and verbal skills highly preferred • Ability to conduct due ...

Other responsibilities will include a data coordination and analysis component. Benefits include ... Bilingual (English/Spanish) written and verbal skills highly preferred • Ability to conduct due ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

You will conduct structural analyses of a wide variety of component designs utilizing advanced ... Support data acquisition/ reduction of hardware vibration environment measurements * Support ...

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Entry Level Bilingual Data Analyst information

See Springfield, MA salary details

$13

$32

$61

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

As of Sep 3, 2026, the average hourly pay for entry level bilingual data analyst 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 bilingual data analyst?

An Entry Level Bilingual Data Analyst is a professional who analyzes data sets and provides insights while being proficient in at least two languages. Their main duties include collecting, processing, and interpreting data from diverse sources, often supporting international or multilingual projects. They use their language skills to work with data in multiple languages, translate findings, and communicate results to teams or clients from different linguistic backgrounds. This role is ideal for recent graduates or individuals starting their careers in data analysis who have strong language abilities in addition to analytical skills.

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

To thrive as an Entry Level Bilingual Data Analyst, you need a solid grasp of data analysis concepts, proficiency in at least two languages, and typically a bachelor's degree in a relevant field. Familiarity with data visualization tools (like Tableau or Power BI), Excel, SQL, and sometimes Python or R is commonly expected. Strong attention to detail, effective communication, and cross-cultural collaboration skills set standout candidates apart. These abilities are crucial for accurately interpreting multilingual data, generating actionable insights, and facilitating effective communication in diverse business environments.

How does an entry level bilingual data analyst typically collaborate with other teams in a multilingual environment?

As an Entry Level Bilingual Data Analyst, you’ll frequently work cross-functionally with teams such as data engineering, product management, and customer support. Your language skills are valuable for bridging communication gaps, translating data insights, and ensuring data accuracy across different regions or markets. Collaboration often involves participating in meetings, preparing reports in multiple languages, and clarifying requirements to ensure all stakeholders are aligned. This teamwork not only enhances your communication skills but also provides broad exposure to various business functions, supporting both your immediate impact and long-term growth.

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

AspectEntry Level Bilingual Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; bilingual proficiency (e.g., English and Spanish)Bachelor's degree in data science, statistics, or related field; language skills may vary
Work EnvironmentOffice settings, data teams, client interactions requiring bilingual communicationOffice settings, data teams, primarily English communication
Employer & Industry UsageUsed in multinational companies, customer service, and market researchUsed across various industries including finance, healthcare, and tech

The main difference is that the Entry Level Bilingual Data Analyst requires proficiency in two languages, enabling communication with diverse clients and data sources. The standard Entry Level Data Analyst focuses on data analysis skills without language requirements. Both roles involve data collection, cleaning, and basic analysis, but bilingual skills expand opportunities in global or multicultural environments.

What are popular job titles related to Entry Level Bilingual Data Analyst jobs in Springfield, MA?

For Entry Level Bilingual Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Bilingual Data Analyst jobs in Springfield, MA look for?

The top searched job categories for Entry Level Bilingual Data Analyst jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Entry Level Bilingual Data Analyst jobs?

Cities near Springfield, MA with the most Entry Level Bilingual Data Analyst job openings:

Infographic showing various Entry Level Bilingual Data Analyst job openings in Springfield, MA as of June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

AI & GenAI Data Scientist - Manager

Pwc

Hartford, CT • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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Benefits

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK