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Senior Data Analyst Jobs in Roxbury, MA (NOW HIRING)

LinkSquares, Inc.

Senior GTM Data Analyst

Boston, MA · On-site +1

$93K - $117K/yr

As the Senior GTM Data Analyst , you will shape how we understand and optimize our growth engine by owning the analytical truth layer across the entire revenue organization. In this high-impact role ...

LinkSquares, Inc.

Senior GTM Data Analyst

Boston, MA

$93K - $117K/yr

As the Senior GTM Data Analyst , you will shape how we understand and optimize our growth engine by owning the analytical truth layer across the entire revenue organization. In this high-impact role ...

CarGurus

Senior Sales Data Analyst

Boston, MA

$93K - $117K/yr

Role Overview CarGurus is hiring a Senior Sales Data Analyst to support our Inventory & Data pillar as we build, sell, and scale the next generation of dealer software. You'll serve as a core ...

Net2Source (N2S)

Data Analyst

Boston, MA · On-site

$55/hr

Who You Will Work With You will report to the Senior Manager, Business Analysis & Growth. You will ... data and reporting. You will play a key role in driving commercial performance visibility and ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA · On-site

$102K - $132K/yr

Sr. Analyst, Data Engineering Data Engineering is the practice of designing, building, and maintaining systems that collect, store, process, govern, and analyze large volumes of data required by ...

Dell, Inc.

Senior Analyst, Data Engineering

Hopkinton, MA · On-site

$102K - $132K/yr

Sr. Analyst, Data Engineering Data Engineering is the practice of designing, building, and maintaining systems that collect, store, process, govern, and analyze large volumes of data required by ...

CarGurus

Senior Data Scientist

Boston, MA

... Senior Data Scientist, International will be responsible for implementing, training and testing ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Geode Capital Management

Senior Data Engineer

Boston, MA · Hybrid

$165K - $185K/yr

The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python. This role is based ...

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Showing results 21-40

All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Roxbury, MA

Senior Data Analyst information

See Roxbury, MA salary details

$59.7K

$107.7K

$147.1K

How much do senior data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior data analyst in Roxbury, MA is $107,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $117,800.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

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

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

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For Senior Data Analyst jobs in Roxbury, MA, the most frequently searched job titles are:

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The top searched job categories for Senior Data Analyst jobs in Roxbury, MA are:

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Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Roxbury, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,691 per year, or $51.8 per hour.

Senior GTM Data Analyst

LinkSquares, Inc.

Boston, MA • On-site, Remote

$93K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About the company: LinkSquares is a Boston-based, AI-powered CLM SaaS leader trusted by organizations like DraftKings, Manscaped, and Vivid Seats. We automate the contracting process for legal, finance, and HR teams, helping them save time, cut costs, and improve business outcomes. For more information, visit linksquares.com.
About the team: Join our Revenue Operations organization, the central engine of our Revenue Team that sits at the intersection of marketing strategy, sales execution, and AI innovation. We are a detail-oriented and financially driven team dedicated to driving long-term value and growth by transforming internal processes into strategic advantages. We prioritize a "learn and get better" mentality, where you will not only execute proven processes but actively help refine them for the next generation of LinkSquares' growth.
About the role: As the Senior GTM Data Analyst, you will shape how we understand and optimize our growth engine by owning the analytical truth layer across the entire revenue organization. In this high-impact role, you will function as an internal revenue economist and independent partner to the VP of Revenue Operations and GTM executives, answering three critical questions: What is happening? Why is it happening? What should we do about it?
You'll join a collaborative team where you have the autonomy to evolve an existing foundation while building new, scalable data models, KPI architectures, and executive reporting systems that directly influence strategic decisions. Sitting at the intersection of revenue analytics, analytics engineering, business intelligence, and strategic decision support, this is an ideal role for a strategic thinker who enjoys the balance of technical depth, commercial judgment, and hands-on execution.
Responsibilities:
  • Serve as an independent analytical partner to GTM leadership, analyzing performance across the full customer lifecycle (pipeline creation, conversion, bookings, retention, expansion, and churn) to surface emerging trends, quantify business impact, and recommend strategic actions.
  • KPI Architecture & Dashboards: Own the Revenue organization's KPI architecture, metric definitions, and calculation logic across Sales, CX, Marketing, Product, and Finance. Rationalize reporting, reduce dashboard sprawl, and create trusted, scalable reporting.
  • Planning & Scenario Analytics: Develop models that support revenue planning, pipeline coverage, conversion, velocity, push/slip, and productivity analysis. Model upside/downside scenarios and leading indicators of risk to improve organizational predictability.
  • Executive & Board Support: Own the analytical development of recurring executive and Board reporting, ensuring outputs are grounded in reconciled metrics, consistent business logic, and clear, decision-ready frameworks.
  • Data Modeling & Architecture: Own, build, and optimize durable transformation and semantic models across the modern data stack for core GTM concepts (accounts, pipeline, bookings, ARR, retention, expansion, churn, and customer lifecycle) while ensuring data quality and lineage.
  • Analytics Innovation & AI: Leverage AI tools and automation to accelerate analytical workflows, investigation, documentation, quality assurance, and insight generation while establishing responsible AI governance and patterns.
  • Cross-Functional Partnership: Collaborate closely with Revenue Operations, Sales, Marketing, Customer Experience, Product, and Finance to challenge assumptions, guide roadmap prioritization, and act as a trusted advisor on major GTM decisions.

Requirements:
  • B2B SaaS Experience: 6+ years supporting a B2B SaaS or recurring-revenue business, with deep fluency in SaaS/GTM economics, unit economics, and full customer lifecycle analysis across Marketing, Sales, and Customer Experience.
  • Technical & Modeling Depth: Advanced proficiency in SQL, Snowflake, dbt, Fivetran, Looker (or comparable BI tool), Git, semantic-layer design, ETL/ELT concepts, and data quality monitoring, alongside strong familiarity with Salesforce and GTM data structures.
  • AI Integration: Demonstrated proficiency using AI tools to accelerate analytical workflows, documentation, automation, and insight generation, with a strong ability to critically evaluate and validate AI-generated outputs against governed data.
  • Analytical & Commercial Mindset: Experience building and governing enterprise KPI frameworks, pipeline/forecasting models, and executive/Board reporting with the ability to translate complex technical findings into actionable commercial insights.
  • Collaborative Leadership: A track record of working across departments (Operations, Finance, Sales, CX, Product) to align on metric definitions, establish single-source-of-truth frameworks, and drive consensus.
  • Adaptability & Rigor: High standard of intellectual independence and curiosity, with the ability to bring clear recommendations-not just data-in a fast-paced, evolving environment.

Compensation for this role includes an annual base salary range between $150,000 to $175,000. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus. LinkSquares takes into consideration a number of factors when determining an employee's starting salary, including work location, job-related skills, and relevant education, experience and training. The recruiter assigned to this role will share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates are eligible to participate in the company's benefit programs. LinkSquares' benefits include but are not limited to medical, dental, and vision insurance, 401k retirement plan with a company match, equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), flexible paid time off, generous parental leave, life and disability insurances and more.
LinkSquares is an Equal Opportunity Employer and does not discriminate based on any legally protected characteristics.

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