POS-22013 The HubSpot Customer Success Strategy and Operations team is looking for a Senior Data Analyst to join our team. In this role, you will combine deep data insights with business expertise to deliver comprehensive solutions that tackle critical challenges and enhance operational efficiency and strategic outcomes. You will work directly with global leaders across HubSpot to deeply understand business performance, driving growth and productivity through data-driven decisions and strategic insights. You will develop innovative go-to-market and operational strategies, enhancing business performance and supporting strategic decision-making. Data Analysts act as the technical backbone of the operation, exercising a high degree of technical autonomy to navigate enterprise-scale environments. You will be responsible for architecting scalable, reproducible data assets that serve as the single source of truth for the organization. In this role, while you operate with a high degree of autonomy — leveraging AI tools to elevate analytical standards and drive strategic impact — you benefit from the support of the Operations Analytics community, sharing ideas, debating approaches, and receiving feedback. We are looking for people who have: - Track record as a go-to expert for the business, playing a pivotal role in driving data-driven decision-making and shaping strategic decisions. - Excellent communication skills, with the confidence to build deep relationships and present strategies and outcomes to C-suite executives. - Passion for fostering a high-performing culture, participating in the analyst community and providing coaching and mentorship to junior analysts. - Experience working with large datasets, particularly regarding data mining, manipulation, and exploration in a fast-paced environment. - Experience using AI to elevate analytical standards and scale project execution without sacrificing rigor. - Ability to write performant, complex SQL queries and perform analysis in code-based or notebook environments to ensure workflows are reproducible and efficient. - Experience building commercial models (e.g., ROI, LTV) and forecasting trends to inform near-term operational decisions. In this role, you will: - Deliver strategic recommendations to your stakeholders with a data-driven point of view and plan for action. - Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible. - Partner with stakeholders to understand their team’s data and business needs; become an expert in translating these needs into specific analyses with actionable insights. - Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve our customers’ experience. - Collaborate across teams and business functions to infuse strategic, open ended research with quantitative insights. - Navigate an enterprise-scale data environment and own the development of scalable assets that drive efficiency and data consistency. - Inform specific, near-term operational decisions and product roadmaps, leveraging reproducible analysis to ensure stakeholders act on high-integrity data. Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $118,500—$189,600 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: 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. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: - HubSpot Careers - Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

• You will fully own marketing analytics, attribution, systems, and budget performance — serving as the connective tissue between Marketing, Sales, Finance, and Leadership. • Design and manage the infrastructure that connects marketing investment to pipeline and revenue. Your work will directly influence budget allocation, growth strategy, and executive decision-making. • This role is ideal for someone who combines technical fluency (HubSpot + Salesforce), financial acumen (CAC, payback, ROI), and strategic thinking. • Full ownership of HubSpot and Salesforce marketing integration and data integrity • Lead lifecycle architecture (MQL → SQL → Closed Won) • Campaign tracking, attribution setup, and governance • Lead scoring, routing, and automation logic • Ongoing system optimization and documentation

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Associate Director, Observational Methods and Analytics is focused on real-world and non-interventional methods and associated analysis to support execution of epidemiologic studies. Reporting to the Head of Epidemiology, the position provides support to Epidemiology and the broader clinical development organization, advising on epidemiologic methods, data analytic strategies, and supporting stakeholders in various activities utilizing real-world and other non-interventional data. This position carries out programming and statistical analysis in collaboration with epidemiologists/statisticians. This includes data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms. This position is also expected to support and advise on innovative epidemiologic methods (e.g., causal inference methods) to address specific study objectives using observational data. Working with program epidemiologists, this position supports clinical development, Safety and Risk Management (SRM), and Clinical Development. The position will partner with Epidemiologists to manage relationships with internal and external stakeholders. Must be able to prioritize and manage work across multiple projects and vendors. Provides strong communication to ensure successful and timely project delivery. Additionally, this position will be expected to solve technical problems with experience and expertise. Summary of Key Responsibilities - Assist in development of study protocols and analyses plans leveraging large RWD sources (Claims and/or EMR) - Create analytical databases from data extracts to facilitate execution of study analyses - Conduct analyses consistent with methods set forth in study protocols and analysis plans - Produce tables and figures for discussions with other investigators, clients, and for study reports - Present results internally and to clients - Assist in preparation of study reports and other deliverables - Contribute to the development of innovative epidemiological methods and analytical capabilities to support Quantitative Science’s leadership role both internally and externally. Qualifications - PhD in epidemiology or other quantitative public health discipline (epidemiology, biostatistics, statistics, bioinformatics, economics) with 2 years of experience of conducting observational analytics for pharma industry, CRO, or academic institution. - Expert level proficiency in SAS or R, SQL. Proficiency in another programming language e.g., python also desirable. - Deep expertise analyzing RWE data sources including administrative claims data. Experience analyzing non-interventional data from registries or other sources is desirable. - Familiarity with relational databases and proficient understanding of claims and ancillary file layouts - Expert in applied epidemiologic methods including causal inference as well applied biostatistical methods as they pertain to the analysis of observational/non-interventional data including regression analysis (e.g., OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (e.g., Kaplan-Meier, cumulative incidence, accelerated failure time models), methods for causal inference (e.g., propensity weighting, TMLE, G-estimation). - Capable of implementing the analytics for advanced epidemiology methods (e.g., IPW, clone censoring, negative control, quantitative bias analysis, clean room operations, and data simulation). - Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion. - Confident and competent when interacting with internal and external stakeholders. - Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence. Requirements - Strong communication skills to ensure successful project delivery. - Ability to solve technical problems with experience and expertise. Benefits - Comprehensive benefits including medical, dental, and vision coverage - Life and disability insurance - Lifestyle reimbursement program - Flexible spending and health savings accounts - 401(k) with a generous company match - Paid time off, wellness days, holidays, and two company-wide recharge breaks - Generous family resources and leave Company Description We are the leader in RNAi therapeutics – a revolutionary approach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possible and are just at the beginning of what’s possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, where an authentic, inclusive culture and breakthrough thinking fuel one another.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Liberty, our Personal Lines Property & Specialty Product team partners across the company to design and launch home and specialty insurance solutions — from homeowners (property) and condos to renters and other niche lines (specialty)— that meet evolving customer and agent needs. We focus on preparing and executing program rollouts, delivering on our growth roadmap, and modernizing pricing and the technology that supports the work we do. Organized into five functions—State Management, Development, Delivery, Underwriting Effectiveness, and Specialty—we collaborate closely to meet our goals and help customers feel secure today and confident about tomorrow. The Property & Specialty Underwriting Effectiveness team is looking for a technically inclined analyst (Analyst or Senior Analyst) to help support and scale our underwriting analytics and data capabilities. As part of the Model Sophistication team, this role will focus on maintaining clean, reliable datasets and assisting with data analysis that supports underwriting strategy, segmentation, and program management. This role will use tools such as SQL, Python, and R to work hands-on with scheduled and ad hoc data processes, querying/transforming data and supporting analytical workflows. You’ll collaborate closely with analysts and partners across other teams like State Management, Distribution, and Delivery to ensure data is accurate, accessible, and actionable. We’re looking for someone who enjoys digging into data, writing scripts, improving processes, and learning new tools. The specific level (Analyst or Senior Analyst) will depend on experience, but an eagerness to learn and grow is the most important qualification. This is an opportunity for a technically curious analyst who wants to build out their skillset and be part of evolving how analytics work is done. This position may have in-office requirements depending on candidate location. This is a ranged G13/G15 posting and level offered will be based on candidate experience at manager discretion. Responsibilities - Develop and maintain scripts and analytical workflows using tools such as Python and/or R. - Assist with ad hoc and recurring data analysis to support underwriting strategy. - Shared ownership of an underwriting-focused suite of PowerBI dashboards and datasets. - Shared ownership of tools used in underwriting model calibrations, adjustments, and monitoring. - Write and maintain SQL queries, including scheduled queries and data quality checks. - Develop and maintain clean, well-documented datasets. - Partner with analysts and stakeholders to understand data needs and translate them into reliable, usable data solutions. - Identify opportunities to improve data processes, tooling, and analytical efficiency. - Serve as a technical resource for teammates by sharing best practices and helping others work more effectively with data. - Contribute to the team’s exploration and adoption of AI-enabled analytics, including emerging agentic tools, in practical, real-world ways. Qualifications - Bachelor's degree in mathematics, economics, statistics, or other quantitative field. - Minimum 3 years relevant work experience, typically 4 years. - Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). - Must have strong planning, organizational, analytical, decision making and communication skills. Requirements - Strong SQL skills and experience querying relational databases. - Experience with data analysis, data validation, or data management in an analytical role. - Experience with Python and/or R. - Comfort writing scripts for data manipulation or analysis. - Curiosity, initiative, and a willingness to learn new tools and approaches. Preferred - Experience with PowerBI, Snowflake, Git/GitHub, and/or Databricks. - Exposure to or interest in AI-enabled analytics, including agentic or automation-focused approaches. Benefits The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.