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Associate Degree In Data Analytics Jobs in Lowell, MA

Audax Group

Data Analytics Co-Op

Boston, MA · On-site

$30 - $34/hr

Currently pursuing a Bachelor's or Master's degree in Finance, Accounting, Analytics Engineering ... Experience taking large data sets, and cleaning/distilling these datasets. * Experience with Python ...

VIA

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You ... Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field

State Street Corporation

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position ... Bachelor's degree or its equivalent in Computer Science, Information Systems, or a related field ...

VIA

Data Analytics Engineer

Somerville, MA · On-site

$125K - $150K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You ... Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field

State Street Global Advisors

Data Analytics

Boston, MA

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position ... Bachelor's degree or its equivalent in Computer Science, Information Systems, or a related field ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Lowell, MA

Associate Degree In Data Analytics information

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How much do associate degree in data analytics jobs pay per month?

As of Sep 2, 2026, the average monthly pay for associate degree in data analytics in Lowell, MA is $6,238.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,658.33 and $6,650.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What job categories do people searching Associate Degree In Data Analytics jobs in Lowell, MA look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Lowell, MA are:

What cities near Lowell, MA are hiring for Associate Degree In Data Analytics jobs?

Cities near Lowell, MA with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you

Associate Director / Director Commercial Analytics (Pharma & Lifescience)

Tiger Analytics Inc.

Boston, MA

Full-time

Re-posted 28 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
  • Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

  • 10-16 years of professional work experience with at least 9 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Solid understanding of statistical and machine learning algorithms
  • Strong knowledge of Lifescience and Pharma domain
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law

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