49 Data Analysts jobs in Marlborough

• Design, build, and maintain intuitive data visualizations and standardized reports that provide clear insights into system performance, usage patterns, and operational health of Battery Energy Storage Systems (BESS).
• Translate complex datasets into compelling data stories that enable internal stakeholders and external clients to make informed, timely decisions.
• Support the development and continuous improvement of the team's advanced asset analytics products by creating scalable, user-friendly reporting frameworks.
• Collaborate closely with data scientists, data engineers, and service teams to ensure that analytics outputs are accurate, reliable, and aligned with customer and business needs.
• Develop and document reporting pipelines and visualization to improve consistency and reusability across projects and sites.
• Perform exploratory data analysis (EDA) and trend identification to uncover patterns, anomalies, and emerging issues that can inform product development and predictive models.
• Deliver ad-hoc analyses and customized reports to support commissioning, operations, warranty management, and customer-facing performance reviews.
• Apply statistical methods and basic forecasting techniques to support root cause investigations and provide early insights into performance deviations.
• Continuously enhance dashboards and reporting capabilities by incorporating feedback from end users, adopting best practices in data storytelling, and leveraging new tools and technologies.
• Communicate insights effectively across technical and non-technical audiences through visualizations, presentations, and written narratives

• Bachelor's degree in Data Analytics, Computer Science, Engineering, Statistics, or a related quantitative field.
• 2-5 years of hands-on experience in data analytics, business intelligence, or a similar role.
• Proven expertise in building dashboards and interactive applications with Streamlit.
• Proficiency with SQL and experience working with relational databases; familiarity with Snowflake is strongly preferred.
• Solid Python programming skills for data manipulation, analysis, and visualization.
• Experience with Git-based workflows for version control and collaborative development.
• Strong skills in data visualization and storytelling, with the ability to present insights to both technical and non-technical audiences.
• Demonstrated ability to manage multiple projects, prioritize effectively, and deliver accurate results under tight deadlines.
• Must be legally authorized to work in the U.S. without employer sponsorship.

• Familiarity with cloud platforms such as AWS, Azure, or GCP, particularly for analytics and reporting workflows.
• Exposure to time-series data and performance monitoring in industrial, manufacturing, or energy systems.
• Experience in developing or supporting analytics products for operational monitoring, diagnostics, or reporting.
• Familiarity with CI/CD pipelines and deployment of reporting applications.
• Knowledge of statistical methods, forecasting techniques, or exploratory data analysis to support diagnostic investigations.

Site: Mass General Brigham Incorporated

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary
The Hospital Integrated Research Organization (HIRO) at Mass General Brigham is a strategic, data-driven initiative focused on streamlining industry-sponsored research and generating high-quality real-world evidence (RWE). We are seeking a highly motivated and detail-oriented Data Analyst to join our team. This individual will play a key role in supporting HIRO's RWE initiatives by transforming complex healthcare data into actionable insights.

The ideal candidate is passionate about healthcare analytics, thrives in a collaborative and fast-paced environment, and brings a strong blend of technical expertise and communication skills. Reporting to the Director of Data Science and Analytics (DSA), the Data Analyst will work cross-functionally to support research and operational goals through data extraction, analysis, and visualization.

Qualifications

Key Responsibilities

• Extract, clean, and analyze large-scale healthcare datasets from diverse sources (e.g., EHRs, claims, registries).
• Ensure data quality, integrity, privacy, and security in compliance with HIPAA and institutional policies.
• Develop and maintain data models, dashboards, and reports to support research and operational decision-making.
• Identify trends, patterns, and anomalies to generate actionable insights.
• Conduct ad hoc analyses and respond to data requests from internal stakeholders.
• Communicate findings clearly through visualizations and presentations tailored to both technical and non-technical audiences.
• Collaborate with cross-functional teams to support data-driven strategies and initiatives.
• Stay current with healthcare data standards, analytics tools, and industry best practices.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field.
• Minimum of 2 years of experience in a data analyst or similar role, preferably in a healthcare or clinical research setting.
• Strong SQL skills required for data extraction, transformation, and reporting. Candidates must demonstrate advanced proficiency in writing, optimizing, and troubleshooting complex queries, with working familiarity with SQL Server environments.
• Proficiency in at least one analytical programming language such as Python or R.
• Experience working with healthcare data (e.g., EHRs, claims, registries); familiarity with data standards such as OMOP is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Advanced proficiency in Microsoft Office tools, including Excel, PowerPoint, and Word.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Excellent organizational and time management abilities; capable of managing multiple priorities in a fast-paced environment.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively within a team-based structure.

• M-F Eastern Business Hours required
• Hybrid Onsite Flexible working model required weekly includes onsite in office (1-2 days per week weekly, must be flexible for business needs)
• Remote working days require stable, secure, quiet, compliant working station

The Hospital Integrated Research Organization (HIRO) at Mass General Brigham is a strategic, data-driven initiative focused on streamlining industry-sponsored research and generating high-quality real-world evidence (RWE). We are seeking a highly motivated and detail-oriented Data Analyst to join our team. This individual will play a key role in supporting HIRO's RWE initiatives by transforming complex healthcare data into actionable insights.
The ideal candidate is passionate about healthcare analytics, thrives in a collaborative and fast-paced environment, and brings a strong blend of technical expertise and communication skills. Reporting to the Director of Data Science and Analytics (DSA), the Data Analyst will work cross-functionally to support research and operational goals through data extraction, analysis, and visualization.

Key Responsibilities

• Extract, clean, and analyze large-scale healthcare datasets from diverse sources (e.g., EHRs, claims, registries).
• Ensure data quality, integrity, privacy, and security in compliance with HIPAA and institutional policies.
• Develop and maintain data models, dashboards, and reports to support research and operational decision-making.
• Identify trends, patterns, and anomalies to generate actionable insights.
• Conduct ad hoc analyses and respond to data requests from internal stakeholders.
• Communicate findings clearly through visualizations and presentations tailored to both technical and non-technical audiences.
• Collaborate with cross-functional teams to support data-driven strategies and initiatives.
• Stay current with healthcare data standards, analytics tools, and industry best practices.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field.
• Minimum of 2 years of experience in a data analyst or similar role, preferably in a healthcare or clinical research setting.
• Strong SQL skills required for data extraction, transformation, and reporting. Candidates must demonstrate advanced proficiency in writing, optimizing, and troubleshooting complex queries, with working familiarity withSQL Server environments.
• Proficiency in at least one analytical programming language such as Python or R.
• Experience working with healthcare data (e.g., EHRs, claims, registries); familiarity with data standards such as OMOP is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Advanced proficiency in Microsoft Office tools, including Excel, PowerPoint, and Word.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Excellent organizational and time management abilities; capable of managing multiple priorities in a fast-paced environment.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively within a team-based structure.

• M-F Eastern Business Hours required

• Hybrid Onsite Flexible working model required weekly includes onsite in office (1-2 days per week weekly, must be flexible for business needs)

• Remote working days require stable, secure, quiet, compliant working station

We are seeking a Senior Data Analyst to transform complex datasets into clear, actionable insights that drive strategic decision-making and improve business results. In this role, you will leverage SQL, Python, and advanced BI tools to identify opportunities, optimize key metrics, and measure performance across the organization.

Success in this role will be defined by your ability to:

• Deliver accurate, timely, and impactful analyses that lead to meaningful business recommendations.
• Develop automated dashboards and reporting tools to improve efficiency, transparency, and self-service analytics.
• Maintain high standards of data accuracy, integrity, and reliability.
• Partner effectively with cross-functional teams—including operations, product, finance, and leadership—to guide strategy and initiatives.
• Communicate complex findings in a compelling, accessible way to both technical and non-technical audiences.

If you are a detail-oriented problem-solver who thrives at the intersection of data, analysis, and strategy, we’d like to meet you.

Location

This role is based in Needham, MA (Hybrid: 2–3 days/week in office).

On the Plate

• Query and analyze large datasets to extract and communicate meaningful insights.
• Perform data cleaning, transformation, and modeling within the analytics stack.
• Conduct statistical analyses, design experiment frameworks, and evaluate results.
• Build and maintain interactive dashboards and reports using SQL, Python, and BI platforms (e.g., Looker, Tableau, Power BI, Sigma).
• Collaborate with stakeholders to understand business requirements and provide data-driven solutions.
• Produce clear reports, visualizations, and presentations for leadership and teams.
• Monitor and report on key performance indicators and emerging trends.
• Apply structured thinking and logical analysis to navigate ambiguity and prioritize initiatives effectively.
• Ensure the accuracy, consistency, and reliability of all analytic outputs.

The Main Ingredients

• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Data Science) or equivalent experience.
• 5+ years’ experience as a Data Analyst, Business Analyst, or similar analytical role.
• Proficient in SQL for data querying and transformation.
• Skilled in Python or R for advanced analysis and automation.
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
• Strong Excel skills for analysis and reporting.
• Excellent analytical and problem-solving skills.
• Strong communication skills for presenting insights to varied audiences.
• Detail-oriented, with a commitment to producing high-quality, reliable outputs.
• Experience with dbt or modern data stack tools is a plus.

Why Join Us?

• Ownership: Be the trusted data partner of our business teams.
• Impact: Directly enable data-driven decision-making across the business.
• Growth: Shape the future of our data culture and stack as we scale.

Garnish

We love our staff, and show it with benefits (including but not limited to medical, dental, vision, FSA, and life insurance), matching retirement plan, unlimited paid time off, Purple Carrot box allowance, professional development, and the opportunity to work in collaboration with teammates who are passionate about food!

Final Touches

We are committed to a safe and inclusive work environment, free of discrimination based on race, color, religion, sex, gender identity or expression, sexual orientation, genetics, national origin, ancestry, age, medical condition, mental or physical disability, handicap, veteran status, or marital status.

About Purple Carrot: 

Purple Carrot started with just a seed of an idea in 2014. Our vision is a world where plant-based eating is at the core of living well. Every day, on this mission, we’re breaking boundaries with plant-based eating. We value learning from customers, an ownership mindset, integrity, winning together, and being bold. We need your expertise on our team to make things happen!

Purple Carrot’s irresistible, globally-inspired meal-kit recipes and prepared meals using fresh ingredients. We are a team of collaborative individuals who drive for results, strive for doing better, make good choices quickly, and embrace a growth mindset to win or learn. Here’s what you’re up for!

Bring your energy to the role of Netflix Data Analyst to adapt to shifting priorities and business needs, work collaboratively across teams and departments, and provide excellent service to customers and team members. Other duties include gain knowledge of company offerings to better serve clients, follow safety procedures and company policies, manage daily responsibilities with a focus on quality and efficiency, assist with organizing, stocking, and general upkeep, coordinate tasks to ensure deadlines are met, along with respond promptly to inquiries and resolve basic issues, assist with processing returns and exchanges, maintain accurate records and documentation, support the preparation and delivery of goods or services. To excel in this position, you should have a willingness to learn and adapt, good communication skills, reliability and strong work ethic, basic computer literacy, a positive and cooperative attitude, and the ability to follow directions. Perks of the role may include competitive weekly pay, flexible scheduling, training provided, a supportive work environment, opportunities for advancement, and overtime when available.

About Empower Business

Welcome to the future of lab innovation! Empower Software isn't just a tool-it's the global standard in laboratory analysis, trusted by over 500,000 users for more than 30 years. Behind 80% of the world's drug manufacturing, Empower is shaping the industry with cutting-edge cloud technology. As the first Chromatography Data System (CDS) deployed in the cloud and offered as a subscription, Empower accelerates analysis and enhances confidence for scientists everywhere. Join us in redefining the possibilities of lab technology!

The Sr Data Analyst will collect, analyze, and visualize data from various sources to help the Empower business make data-driven decisions. This individual will play a key role in shaping the narrative behind the numbers through fact-based storytelling and will be instrumental in bringing commercial effectiveness to our teams and holding leaders accountable to key performance indicators. The ideal candidate has strong technical skills in Excel modeling, Power BI, and Salesforce, and has a proven ability to connect and synthesize data from multiple streams resulting in business impact. Experience in SaaS and subscription commercial analytics preferred.

Design and maintain advanced Excel models to support business analysis and decision-making.
• Develop and manage interactive score cards, dashboards, and reports using Power BI. Reduce manual intervention by at least 50%. a 100% adoption rate of tools among commercial stakeholders within 6 months.
• Analyze and report on key SaaS metrics, such as customer acquisition cost, churn rate, and monthly recurring revenue
• Interpret data to uncover actionable insights and emerging trends, enabling targeted strategies such as identifying ideal customer segments,
• Assemble data from multiple sources into easy-to-digest formats such as dashboards, scorecards, and presentations to meet partners' needs-these may include weekly KPIs, sales reporting, and incentive summaries.
• Connect and integrate data from Salesforce, SAP, and other internal systems to create unified, delivering at least 3 actionable insights per month.
• Interpret data using trend and correlation analysis, provide context for findings, highlight variables, and offer insights into anomalies.
• Drive Salesforce (Compass) adoption through reporting and team enablement; serve as the SME on Compass for the Empower software business Unit.
• Generate and distribute routine and ad-hoc reports to internal stakeholders.
• Identify opportunities for process improvement and efficiency gains through data insights.
• Accelerate deal preparation for growth deal review (at least 4 deals a week)

• Bachelor's degree (or equivalent) in Business, Analytics, Computer Science, Statistics, or a related field.
• Proven experience collecting and analyzing data from disparate sources and delivering actionable insights.
• Management consulting experience preferred
• Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and model design.
• Experience in SaaS and subscriptions preferred.
• Strong experience with Power BI for dashboard creation and data visualization.
• Proficiency in Salesforce reporting and KPI tracking.
• Experience integrating and managing data from multiple systems (e.g., Salesforce, SAP, Excel).
• Familiarity with SAP Analysis for Office and Salesforce Service Lightning is a plus.
• Proven success in a collaborative, team-oriented environment.

Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

As part of FP&A Business Intelligence team, the Senior Data Analyst plays a cruicial role in transforming financial data into actionable insight. This position is responsible for designing, developing, and maintaining enterprise-grade Business Intelligence dashboards for Global FP&A team, primarily using Power BI, that integrate seamlessly into the daily workflows of our global finance stakeholders.

This is a Hybrid role - 3 days per week on site (Tuesday - Thursday) based out of our Milford, MA HQ

Partner with Global FP&A team to understand, evaluate, and document reporting and analytics needs
• Assess incoming data and reporting requests from the Global FP&A team, balancing urgency, impact, and resource availability. Provide strategic guidance and, when necessary, reprioritize requests to align with broader business objectives and analytics roadmap
• Collaborate with the Enterprise Data team to support the development and optimization of data asset pipelines
• Design, Build and Maintaining scalable, user-friendly Power BI dashboards aligned with FP&A functional specifications and business goals
• Deliver training and support to Global FP&A users to ensure effective adoption and utilization of analytic tools
• Cultivate a culture committed to delivering timely, high-quality support and constantly improving user experience

• Bachelor's degree in science, analytics, Statistics, Finance or related field
• 5- 7 years' experience within data analytics and/or finance analytics
• Must have proficiency in writing complex SQL queries
• Must have proficiency in Power BI or other Enterprise BI Solutions
• Knowledge of data governance best practices, and methodologies for managing large-scale databases
• Superb communication skills, with the ability to collaborate across teams
• Experience with programing language (e.g. Python, R) is preferred
• Process discovery, design and implementation experience is a plus
• Prior experience working with Financial Planning and Analysis team is a plus

Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

• Technology Requirements (I.E Programs, systems, etc) SQL & Python & Power BI, Advanced Excel, Oracle
• What does a typical day look like? (daily tasks) Position will be a hybrid between a Planner II and a Data Analyst building reports & dashboards to support business needs.
• Preferred background/prior work experience? Computer science & supply chain
• Priority soft skills Independent worker, good communication & analytical skills, detail & deadline oriented.

• Collects and organizes data for analysis.
• Analyzes sales forecasts for assigned direct sales materials.
• Generates production schedules and raw material requirements.
• Releases production work orders to Manufacturing.
• Analyzes sales performance and establish Production and QC priorities.
• Maintains inventory to achieve assigned levels.
• Participates in the transfer of new products from research and development to Mfg.
• Ensures that internal departments are kept abreast of work order status, inventory levels and projects.
• Ensures compliance with applicable regulations and policies.
• Maintains work center schedules to ensure proper jobs are scheduled and capacity limitations are understood and communicated when necessary.

• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the basic knowledge, skills, and or abilities required.
• Working knowledge of MRP2 and computerized inventory control system.
• Extensive knowledge of material master maintenance, BOM's, routings and or recipes and work centers.
• Knowledge of cost accounting fundamentals and labor reporting.
• Proficiency in SQL, Excel, Python/R, and data visualization tools like Tableau or Power BI
• Working knowledge of Microsoft Office or equivalent
• CPIM certification desired.
• Typically requires BA or BS.

About the job Midlevel Data Analyst

Midlevel Data Analyst needs 5-10 years of experience in developing reporting strategies and dashboard development (required)

Midlevel Data Analyst requires:

Solid understanding of data modeling & consistent record of driving efficiencies in reporting

Comfortable sourcing and working with large data sets.

Ability to understand data and recognize trends.

Report production capabilities.

Analytical/Critical mentality, attention to detail

Strong analytical, critical thinking & influencing skills

Excellent teamwork, interpersonal and communication skills

Ability to develop relationships at all levels of the business

The ability to multitask, prioritize and work in a fast-paced environment.

Merchandising, logistic, and retail sale at a product level experience (preferred)

Midlevel Data Analyst duties:

Conduct initial data analysis (data impact assessments) and present findings to the IT and Business teams, focusing on building out our Enterprise Item Master and the Product Inquiry Dashboard, as well as the Snowflake DataMart.

Validate during User Acceptance Testing (UAT) that the data aligns with our stakeholders? expectations.

Perform statistical methods to analyze data and draw insights using techniques such as descriptive statistics, exploratory data analysis (EDA), and inferential statistics.