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Entry Level Data Analyst Fintech Jobs in Boston, MA

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries ... entry-level data science concepts) * Experience writing code in Python * Experience handling ...

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Responsibilities • Mapping and analyzing quantitative data • Preparing management reports • ...

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Mapping and analyzing quantitative data * Preparing management reports * Managing cash flow and ...

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... This role is about using data to make our company better across all areas of the business, so we ...

Technical Business Analyst

Cambridge, MA · On-site +1

$75K - $90K/yr

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... This role is about using data to make our company better across all areas of the business, so we ...

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Entry Level Data Analyst Fintech information

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$14

$35

$67

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

As of Aug 21, 2026, the average hourly pay for entry level data analyst fintech in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

What does an entry level data analyst do in fintech?

An entry level data analyst in fintech is responsible for collecting, cleaning, and interpreting data related to financial products and services. Their work typically involves analyzing large datasets to identify trends, support business decisions, and improve financial products. They may also create dashboards or reports to visualize data findings for other teams. Additionally, entry level analysts often collaborate with engineers, product managers, and senior analysts to ensure data accuracy and relevance. This role provides a strong foundation in both data analysis and the unique challenges of the financial technology sector.

What are some typical projects or tasks that an entry level data analyst in fintech might work on?

As an entry level data analyst in fintech, you’ll often assist with tasks such as cleaning and preparing large financial datasets, creating basic reports and dashboards, and supporting more senior analysts with ad-hoc data requests. You may also help monitor transaction trends for fraud detection, contribute to customer segmentation projects, and automate routine data processes. Collaboration with product, engineering, and compliance teams is common, and you’ll gain valuable exposure to the fast-paced, data-driven decision-making environment typical of fintech companies.

What are the key skills and qualifications needed to thrive as an entry level data analyst in fintech, and why are they important?

To thrive as an Entry Level Data Analyst in Fintech, you need strong analytical skills, a solid grasp of statistics, and a degree in a related field such as mathematics, finance, or computer science. Familiarity with data analysis tools like SQL, Python, and Excel, as well as financial data platforms, is typically expected. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and sharing insights with stakeholders. These skills are important for accurately analyzing complex financial data, driving data-driven decisions, and supporting the company's strategic goals.

What is the difference between Entry Level Data Analyst Fintech vs Entry Level Data Scientist Fintech?

AspectEntry Level Data Analyst FintechEntry Level Data Scientist Fintech
Required CredentialsBachelor's in Data, Finance, or related field; basic SQL and Excel skillsBachelor's in Data Science, Statistics, or related; programming skills in Python/R; some certifications
Work EnvironmentData analysis teams within fintech companies, focusing on reporting and dashboardsData science teams, working on predictive models and advanced analytics
Employer & Industry UsageCommon in fintech firms for operational insightsLess common at entry level, more in research and development roles

Entry Level Data Analyst Fintech roles focus on interpreting data, creating reports, and supporting decision-making with basic analytics. Entry Level Data Scientist Fintech positions involve more advanced statistical modeling and programming. While both roles require a strong foundation in data concepts, data scientists typically need additional technical skills and certifications. The analyst role is more accessible for beginners, whereas data scientist roles are more specialized and technical.

What are the most commonly searched types of Data Analyst Fintech jobs in Boston, MA?

The most popular types of Data Analyst Fintech jobs in Boston, MA are:

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

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

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

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

What cities near Boston, MA are hiring for Entry Level Data Analyst Fintech jobs?

Cities near Boston, MA with the most Entry Level Data Analyst Fintech job openings:

Infographic showing various Entry Level Data Analyst Fintech job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Banking & Deposits Data Analyst

Lendingclub Corporation

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


LendingClub rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Current Employees of Happen Bank: Please apply via your internal Workday Account

Happen Bank(formerly LendingClub)is built around a simple purpose: to clear the way to help people turn intention into action, and action intofinancial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.


About the RoleAs a Banking & Deposits Data Analyst, you'll use customer behavioral, transactional, and engagement data to help improve deposit growth, customer relationships, and the digital banking experience. You'll work with teams across Product, Marketing, Design, Operations, Data Engineering, and Analytics to uncover insights that inform the performance of checking, savings, and CD products across mobile and web experiences
This is an opportunity to build your analytical skills in a digital banking environment while contributing to data-driven decisions that improve customer and business outcomes.What You'll Do
  • Partner with Product, Marketing, Design, Operations, and Analytics teams to analyze business questions related to customer acquisition, engagement, retention, and deposit growth
  • Analyze customer journeys, behavioral data, product usage, and lifecycle trends to identify friction points and opportunities within the digital deposit experience
  • Build and maintain reports, dashboards, and KPIs that provide visibility into deposit flows, funnel conversion, campaign effectiveness, and product performance
  • Support analytical projects from data exploration through insight development, helping translate findings into actionable recommendations
  • Support A/B and multivariate testing across product and marketing initiatives by analyzing results and identifying opportunities for optimization
  • Contribute to customer segmentation and analytical frameworks that inform personalization, targeting, pricing, and lifecycle strategies
  • Partner with Data Engineering to identify opportunities to improve data accessibility and quality
  • Stay curious about digital banking, deposits, and fintech trends and bring relevant insights into your work
About You
  • 0-2 years of experience in analytics, digital banking, fintech, consumer technology, or a related analytical role
  • Bachelor's degree or higher, or equivalent combination of education and experience
  • Strong analytical skills with experience deriving actionable insights from large customer or transactional datasets
  • Proficient SQL skills and familiarity with Python, R, or another data scripting language
  • Experience with data visualization tools such as Tableau or Looker, with an ability to communicate insights through clear and effective data storytelling
  • Familiarity with experimentation frameworks, A/B testing, and statistical analysis
  • Strong written and verbal communication skills with the ability to explain analytical findings clearly
  • You're curious, detail-oriented, and eager to learn while taking ownership of the quality and accuracy of your work
  • AI tools are already part of how you research, write, problem-solve, and learn. You're ready to bring that same curiosity to your work at Happen Bank and explore how AI can help you work more effectively
Nice to Have
  • Exposure to digital banking or deposit products, including checking, savings, or CDs
  • Familiarity with CRM, core banking, or modern data platforms such as Snowflake or BigQuery
  • Exposure to experimentation, A/B testing, lifecycle marketing, customer segmentation, or funnel analytics
  • Familiarity with regulatory or compliance considerations within digital banking

Work Location
Boston
The above locations are eligible offices for this role.The locations have been determined to foster in-person collaboration with this role's team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays and Wednesdays. In-person attendance is essential for this role's success, and remote placement will not be considered.Happen Bank offers relocation, based on actual job level.
Time Zone Requirements
Local hours (ET)
While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
Travel Requirements
As needed travel to Happen Bank offices and/or other locations, as needed.
Compensation
The target base salary range for this position is 79,000-93,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
We're creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
#LI-Hybrid
#LI-GB1


Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com.


Notice on AI Tool Use

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During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

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