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Data Analytics Developer Jobs in Massachusetts (NOW HIRING)

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

Technical Architect - Data, Analytics & AI

Lynn, MA · Hybrid

$65.75 - $84.75/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

As an integral part of the Data team, you will join forces with the Senior Analytics Engineer in our continued effort to inspire people to eat more plants. This position will play an important role ...

Showing results 21-40

Data Analytics Developer information

See Massachusetts salary details

$26

$59

$103

How much do data analytics developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analytics developer in Massachusetts is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $67.74 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Developer vs Data Analyst?

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are some common challenges data analytics developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What does a data analytics developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

What are the key skills and qualifications needed to thrive as a data analytics developer?

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.

What are popular job titles related to Data Analytics Developer jobs in MA?

For Data Analytics Developer jobs in MA, the most frequently searched job titles are:

Infographic showing various Data Analytics Developer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,364 per year, or $59.8 per hour.

Data Analytics & Management, AVP

State Street Global Advisors

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

About the job

The Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and focuses on building practical, scalable AI solutions that address real finance challenges end to end-from problem framing and solution design through deployment and adoption. This position provides an excellent opportunity to interact with different business areas across State Street.

Who we are looking for

The ideal candidate combines strong analytical thinking with business curiosity and judgment and can thoughtfully apply the right mix of AI capabilities, agentic approaches, and lowcode/nocode tools to design integrated, optimized solutions. Success in this role requires the ability to connect technology choices to tangible Finance outcomes-improving insight quality, controls, efficiency, and decisionmaking.

What you will be responsible for:

Build Agentic AI & Copilot Solutions for Finance

  • Design and deliver agentbased workflows that can plan, reason, and execute tasks across finance processes (with appropriate human oversight and controls).
  • Implement solutions that use LLM copilots for finance narratives, variance explanations, exception triage, and rootcause analysis
  • Combine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environments

Prompt Engineering & Context Design (FinanceGrade)

  • Create and refine prompts grounded in finance context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decisionmaking
  • Build reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistency

Apply Data Science Where It Matters

  • Use analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controls
  • Analyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant to Finance operations and reporting

Enable AI Using NoCode / LowCode Platforms

  • Use nocode and lowcode tools (e.g., Alteryx, Power BI, Power Platform or similar) to:
  • Operationalize AI outputs into finance workflows
  • Orchestrate AIdriven steps alongside rulesbased logic
  • Surface AIgenerated insights, exceptions, and narratives to end users
  • Know when lowcode is sufficient and when custom logic or data science is required

Embed Solutions into Finance Workflows

  • Partner with Finance, Risk, and Treasury teams to understand processes endtoend and design solutions that fit how work actually gets done
  • Support rollout and adoption through documentation, training, and iteration based on user feedback

Responsible AI & ControlsAware Delivery

  • Ensure solutions are explainable, auditable, and aligned with governance expectations
  • Validate AI outputs against financial data and business logic; design monitoring to maintain quality over time


Skills and experience needed:

  • Bachelor's degree in AI, Data Analytics, Computer Science, Engineering, or a related field
  • 5-7 years of experience in emerging AI technologies, data science, analytics, automation (financial services preferred)
  • Strong analytical and problemsolving skills
  • Experience working with large, complex datasets
  • Proficiency in SQL and Python
  • Knowledge of data warehousing, data modelling, ETL design
  • Experience with data visualization tools (e.g., Power BI, Tableau, or similar)
  • Exposure to automation tools (e.g., lowcode platforms, RPA, workflow tools)
  • Understanding of Finance, Risk and/or Treasury business processes
  • Strong written and verbal communication skills

Knowledge of the below tools is preferrable:

  • Microsoft Co-pilot Studio
  • Microsoft 365 Co-pilot
  • Databricks
  • Anthropic/Claude
  • Power BI/Tableau
  • Alteryx
  • Microsoft Fabric
  • Microsoft Power App
  • Microsoft Power Automate

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.