Agency Distribution Solutions (ADS) Finance & Accounting is looking for an experienced leader to be our Compensation Director. In this role, you will lead our Compensation Operations team, a function critical to ensuring Comparion Insurance Agency’s agents and managers are paid accurately and on time every month. In this role, you will set the strategic direction for the team, first and foremost ensuring the monthly compensation cycle is executed reliably and without disruption. From there, you will balance hands-on leadership with a focus on innovation, championing the adoption of new tools and technologies to modernize how compensation is processed.

This is an opportunity to build and elevate a high-performing team, strengthen partnerships across the organization, and serve as a trusted voice on compensation operations matters — from Comparion leadership down to individual agents and managers. You will work with a high degree of autonomy, exercising judgment on complex, organization-wide initiatives and setting direction for the team.

Responsibilities:

• Leads the entire Compensation Operations team, overseeing the process that turns 90+ monthly carrier commission statements into accurate compensation for ~1,500 Comparion agents and managers.
• Manages and develops a team of eight, including managers and individual contributors, building talent and capability across the team.
• Ensures compensation is processed accurately and completed in time for the monthly bonus period close.
• Drives continuous process improvement initiatives focused on compensation accuracy, efficiency, and the automation of manual work.
• Champions the adoption of AI and other emerging technologies to enhance and modernize compensation processes.
• Works cross-functionally with other Finance and ADS teams to ensure compensation transactions reconcile to reporting, bank transactions, and carrier statements.
• Partners with the Compensation Design team to evaluate new ideas and ensure they are operationally sound and ready to go to market.
• Partners with ADS and LM technology and Product Owner teams to ensure compensation technology is stable and working as needed, and to evaluate improvements that can be implemented in the future.
• Communicates effectively with Comparion and ADS leadership, and Comparion managers and agents as needed, serving as a trusted point of contact on compensation operations matters.

• Advanced to expert level knowledge of data sources, tools, applications and business drivers.
• Advanced knowledge of business operations, policies, procedures and priorities, to include a strong understanding of the function’s value chain and market conditions.
• Solid ability to select, develop and engage employees.
• Strong ability to exercise influence and build consensus; communication skills;
• Promote collaboration, teamwork and change initiatives; and to build value for customers through a service orientation, innovation, and continuous improvement.
• Displays sound business acumen and integrated thinking.
• Competencies typically acquired through a Bachelor’s degree or equivalent experience. Advanced degree preferred. Minimum of 10 years of relevant experience to include business analysis work and prior experience working in an effective leadership and/or management capacity.

The creative problem-solvers in Liberty Mutual’s USRM Data Science group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.

Join the Property & Specialty Product Design & Modeling department to develop industry-leading pricing and underwriting models. We pride ourselves in developing the best-in-class models and making the team an awesome place to work! The P&S PDM team turns DS insights into business value and partners closely with business stakeholders to expertly align risk with rate.

Analyst roles within the team range from leaning more heavily into research to inform our product design, to directly interfacing with regulators and Profit & Loss owners. Our analysts make an impact by improving model fits, researching new modeling techniques, increasing the speed of model deployments, improving capabilities to test, calibrate, and monitor models, and serving as technical experts to explain our models to the broader Property & Specialty organization. With opportunities for growth, mentorship, and engagement with the data science community, we offer a stimulating environment for those with a passion for technical excellence and problem-solving.

The Analyst collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.

This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues.

This position may have in-office requirements dependent upon candidate location

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Responsibilities:

• Assist on design of designing pricing programs deployment pipeline from modelling to product launch in coordination with the Deployments team
• Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Customizes analytic solutions to specific stakeholder needs.

• Collaborates with other data science teams to successfully implement new pricing programs using Python packages as desired.

• Responsible for smaller components of projects of moderate-to-high complexity.
• Supports other property and specialty pricing programs including building models and rollouts with adjusting models due to state restrictions, building supporting documents and responding to DOI objections
• Regularly engages with the data science community and participates in cross-functional working groups.

• Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
• Advance knowledge of predictive toolset; expert resource for tool development.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• Has a value-driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree.

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners — performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on scalable data & reporting solutions and insights for a range of stakeholders within our Direct Distribution and Partnerships reporting team.

This position may have in-office requirements dependent upon candidate location

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Responsibilities:

• Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption and can describe their value to the customer.
• Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
• Stay up to date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate.
• Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
• Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met.
• Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members
• Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency
• Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity.
• Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work.

The ideal candidate will:

• Have strong technical aptitude with data manipulation, data wrangling and Reporting tools (SQL, Power Bi, SAS, Python cloud computing: AWS and Snowflake).
• Demonstrate 3+ years of experience building production data pipelines, data solutions and Power Bi Dashboards.
• Possess hands-on experience with data quality testing frameworks and practices,and experience implementing automated data tests and validation.
• Have excellent communication skills and the ability to work with technical and non-technical stakeholders.
• 3-5+ years’ experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL & scripting languages (Python)
• 3-5+ years’ experience with top quadrant Business Intelligence tools. Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g., SQL, Power BI SAS, Python) and interest in expanding knowledge in this space.
• Must possess strong analytical, strategic, project management, decision-making and problem-solving skills.
• Direct Distribution domain knowledge preferred but not required.
• Demonstrates a comprehensive understanding of new technologies as needed to progress initiative and ability to adapt
• Able to describe value and support the prioritization of data solutions.
• Able to organize and address customer pain points.

• Strong written and oral communication skills required
• Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
• Master`s in same or related disciplines strongly preferred
• 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack

At Liberty, our Personal Lines Auto Product team partners across the company to build and roll out auto insurance solutions that keep pace with what customers and agents need. We focus exclusively on auto, bringing deep expertise, data and analytics to deliver strong state-by-state results while modernizing how we price policies and the technology that supports them. Organized around four core areas—Delivery & Development, Underwriting Effectiveness, State Management, and Mobility Solutions—we work collaboratively to live our purpose: helping people embrace today and confidently pursue tomorrow.

We are looking for an Analyst/Sr. Analyst, Product Research to join the UW Strategy & Product Design – Auto Coverage & Contracts (ACC) team. The teams’ role is to fulfill Liberty Mutual’s promise through the development of contract language and customer notices. You will be responsible for strategizing, owning, maintaining, and assessing competitiveness and compliance of forms and contracts.

In this role you will:

• Manage personal auto product forms and contract initiatives with an understanding of our contract strategy.

• Complete competitive intelligence research for specific states.

• Analyze information from various resources to develop recommendations. Independently drive revisions with a focus on quality and customer centricity. Own communication of changes to impacted stakeholders.

• Research and answer inquiries related to coverages, forms, and contracts from the organization and provide recommendations.

• Monitor bureau and state activity, evaluating impacts to existing products. Collaborate on achieving approval of filings from regulatory authorities.

• Take a proactive role in identifying and leading process improvement initiatives.

• Promote cross-departmental collaboration in order to meet business goals.

• Innovate and collaborate with other teams to design and develop language for new products and product updates.

At the end of your first year a successful candidate will complete all onboarding activities, demonstrate understanding of the forms development process, and independently own and complete projects meeting all target metrics.

This job might be for you if you are:

• Inclusive. You seek and value all voices. You embrace diversity and inclusion and encourage everyone to bring their authentic selves to work.

• Resilient. You can encounter difficult situations and navigate through them with courage. You are agile and thrive in a quick-paced and ever-changing industry.

• Curious. You have a desire to dig more deeply, challenge assumptions and solve problems. You adopt a growth mindset and seek to continuously learn and improve.

• Driven. You set high standards and make things better. You take risks to innovate across products, lines, and processes. You are motivated and proactively volunteer for new challenges.

• Humble. You build trusting relationships and look for ways to build others up. You are receptive to feedback and showcase a desire to grow.

• Collaborative. You communicate clearly. You are able to collect sufficient information to understand what we are trying to solve, develop recommendations and collaborate across key stakeholders to influence and gain support on solutions.

• Decisive. You can research and analyze criteria keeping a solutions mindset. You are self-directed and take ownership of the time you spend with us.

• Inspiring. You lead by example and follow through on your words and actions. You keep a coaching mindset and invest in the mentorship and training of your team.

This role requires:

• Prior experience with interpreting and applying insurance policy contracts.

• Prior experience drafting contractual language a plus.

• Project management experience working cross-functionally with multiple stakeholders.

• Strong communication, organizational, analytical, critical thinking, presentation, influencing, and relationship management skills; effective team building skills.

• 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.

The Strategy and Insights team within the Enterprise Transformation Office is actively searching for a highly motivated analyst to join the Procurement Analytics team. This position will provide analytical support and insights to Enterprise Procurement to help generate value from their supplier relationships. This person will be required to frame and answer operational and strategic questions from senior management and executive leadership. The ideal candidate possesses advanced analytical abilities and will be able to work collaboratively & independently.

This is a hybrid position. Candidates within 50 miles of select offices are expected in-office Twice a Month.

Responsibilities:

• Perform analysis and recommendations to influence Enterprise Procurement strategies and goals.
• May be asked to present analysis in an understandable and concise manner to effectively influence others.
• With guidance, develop and produce dashboards and reports to support assessment and monitoring of operational and expense/spend metrics.
• Assist in maintaining and improving the current reporting infrastructure.
• Identify issues within existing tools, processes, data sources and voice suggestions to the team to improve accuracy, decrease latency, and reduce inefficiencies.
• Stay informed about procurement category market trends, identifying drivers for expense saving opportunities.
• Maintains close working relationships with data providers and partners.
• Query and validate large and complex datasets to deliver analytically sound insights.
• Support an inclusive, equitable, and high-performing culture.

• Bachelor’s Degree plus 2-4 years of experience, or master’s degree with no professional experience, or equivalent.
• Proficient in Excel, PowerPoint, and statistical software packages (SAS, Emblem).
• Knowledgeable in data query languages and tools (SQL and Snowflake)
• Must have good planning, analytical, decision-making and communication skills.
• Knowledge of data sources, tools, statistical principles, methodologies, and techniques.

Are you energized by turning data into decisions that shape products used by millions of customers? Our Coverage A Product Design and Development team is hiring a Consultant or Assistant Director to help ensure our customers have the right coverage at every stage of their policy.

Coverage A (dwelling coverage) is central to how we protect our policyholders’ homes. Our team owns Coverage A determination and experience across all channels and transaction types — spanning dwelling feature collection in the quoting application, third-party vendor Replacement Cost Estimate (RCE) calculations, and more!

In this role, you’ll identify opportunities to improve the Coverage A determination experience through in-depth research and analysis, directly influencing our go-to-market design. This is high-visibility, high-impact work that meaningfully drives value for both our customers and our business.

• Intellectual curiosity — you’re eager to tackle large, ambiguous, complex problems and uncover new opportunities.
• Product and project management experience — with manager support, you’ve successfully managed projects from concept to implementation.
• Analytical and technical proficiency — you gather, interpret, and evaluate data across multiple quantitative and qualitative sources, with hands-on skills in SAS and/or Snowflake.
• Strong communication skills — you clearly articulate insights and complex concepts, in verbal, written, and slide format, to executive-level audiences.
• Self-motivation — you’re highly organized, take initiative, and follow through proactively.
• A collaborative approach — you contribute to a dynamic, inclusive culture within your team and across partner teams.

• Develop subject-matter expertise in property and specialty Replacement Cost Estimate and Coverage A product features.
• Conduct complex analyses under general direction — independently querying data, building tools for team use, and performing technical and analytical assessments of product features and key performance metrics.
• Lead and project-manage initiatives with manager guidance, partnering with Risk Analytics, State Management, Distribution, Technology, Policy & Production Support, and other cross-functional teams to design and implement changes.
• Synthesize research and analysis into insights and actionable recommendations that shape product design and strategy.
• Regularly present insights and recommendations to Product and Distribution leadership and cross-functional teams.
• Gather external research — including competitive intelligence and insights from vendors, market research teams, and other functional areas.
• Serve as a resource for less-experienced analysts and mentor interns or rotational analysts as needed.

• Bachelor’s degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year’s relevant work experience, typically 6 years.
• Master’s degree beneficial. Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem).
• Must have strong planning, organizational, analytical, decision making and communication skills.
• Experience managing projects preferred.

At Liberty, our Personal Lines Auto Product team partners across the company to build and roll out auto insurance solutions that keep pace with what customers and agents need. We focus exclusively on auto, bringing deep expertise, data and analytics to deliver strong state-by-state results while modernizing how we price policies and the technology that supports them. Organized around four core areas—Delivery & Development, Underwriting Effectiveness, State Management, and Mobility Solutions—we work collaboratively to live our purpose: helping people embrace today and confidently pursue tomorrow.

The Product Delivery Monitoring Team is looking for a Consultant to help advance the next generation of Personal Lines Auto monitoring capabilities. This highly visible individual contributor role will partner across the organization to strengthen how we monitor Auto pricing programs, detect emerging issues, improve data accuracy, and scale sustainable monitoring practices across the broader Auto portfolio.

This role will focus heavily on building strategic monitoring capabilities that reduce programmatic risk, improve early issue detection, and create a scalable foundation for future growth. In addition, this individual will support core Auto Program Monitoring responsibilities, with a focus on program-level monitoring and analysis of recently launched pricing programs.

The ideal candidate is highly analytical and technically capable, comfortable working independently, able to navigate ambiguity, and effective at partnering cross-functionally with both technical and business audiences.

Responsibilities

• Drive the development and scaling of continuous monitoring and anomaly detection capabilities to reduce programmatic risk across the Auto portfolio.

• Improve data accuracy and early issue detection across rating programs, key business metrics, and Auto program results.

• Build scalable monitoring processes, tools, dashboards, and analytical frameworks that support future-state portfolio monitoring and program-level analysis.

• Reduce manual effort and response time through automation, improved reporting, and cross-functional coordination.

• Support program-level monitoring for Personal Lines Auto pricing programs by analyzing key metrics, identifying emerging trends, and assessing whether results are performing as expected.

• Query, manipulate, and analyze large datasets to investigate anomalies, identify root causes, and communicate actionable insights to technical and non-technical audiences.

• Partner with teams across USDS, the Data Office, IT, Risk Analytics, Underwriting, State Management, and other business areas to identify issues, coordinate solutions, and improve monitoring effectiveness.

• Provide timely updates and recommendations to stakeholders on monitoring results, data quality, program performance, and emerging risks.

Ideal candidate will have :

• Strong analytical, problem-solving, and decision-making skills, with the ability to identify patterns, investigate root causes, and develop practical recommendations.

• Proficient in SQL, Power BI, Excel, PowerPoint, and Snowflake. Experience with Python and GitHub preferred.

• Experience building dashboards, reporting tools, analytical frameworks, and repeatable processes.

• Ability to communicate complex analytical findings clearly and effectively to technical and non-technical audiences.

• Strong planning, organizational, analytical, decision-making, and communication skills

• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation preferred.

Preferred Qualifications

• Experience with Python and GitHub preferred.

• Prior experience in Personal Lines, auto insurance, pricing, product, or broader insurance analytics.

• Experience with anomaly detection, continuous monitoring, data quality monitoring, automation, or early issue detection.

• Experience partnering with data, technology, underwriting, risk analytics, state management, or product teams.

• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation.

This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Otherwise, this role is remote

• Bachelor’s degree in business, information management, economics, or other quantitative field. Master’s degree preferred.
• Minimum 4 years, typically 6 years or more of relevant work experience.
• Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills.
• Highly developed communication and presentation skills.
• In-depth knowledge of data concepts, strategies, and methodologies.
• In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives.
• Highly developed negotiation, facilitation and consensus building skills.

At Liberty, our Personal Lines Auto Product team partners across the company to build and roll out auto insurance solutions that keep pace with what customers and agents need. We focus exclusively on auto, bringing deep expertise, data and analytics to deliver strong state-by-state results while modernizing how we price policies and the technology that supports them. Organized around four core areas—Delivery & Development, Underwriting Effectiveness, State Management, and Mobility Solutions—we work collaboratively to live our purpose: helping people embrace today and confidently pursue tomorrow.

It’s an incredibly exciting time to join the Auto Product Telematics organization. As telematics continues to become a larger and more strategic component of Liberty Mutual’s business, we are scaling capabilities across Personal Auto, Claims, and Small Commercial to unlock new sources of customer value, operational efficiency, and competitive advantage.

We are seeking an exceptional product leader to lead our Auto Product Telematics organization. This leader will be responsible for defining and delivering the telematics strategy, driving business outcomes across a rapidly growing portfolio of products and capabilities, and partnering across the broader enterprise to maximize the value of telematics across the enterprise.

The ideal candidate is a strategic thinker, strong people leader, and proven operator who can balance long-term vision with flawless execution while leading a high-performing, multi-disciplinary organization.

**This position may have in-office requirements depending on candidate location.**

Key Responsibilities

• Lead the Auto Product Telematics Product organization, including Product Design & Experience, Product Monitoring & Analytics, Program Delivery & Support Capabilities, and Product Owners.
• Define and execute the long-term telematics strategy in support of USRM’s growth, profitability, and customer experience objectives.
• Lead the evaluation of telematics program performance, economics, and value realization, ensuring products and capabilities deliver measurable outcomes for customers and the business.
• Scale telematics capabilities across Personal Auto, Claims, Small Commercial, and other emerging enterprise use cases.
• Own the telematics product portfolio, including roadmap development, prioritization, investment planning, and value realization.
• Partner with Product, Data Science, and Technology leaders to deliver innovative and scalable telematics capabilities.
• Develop and manage a portfolio of telematics data use cases that unlock value across underwriting, claims, customer experience, and operational workflows.
• Oversee telematics vendor strategy, vendor relationships, and vendor investment/performance management to maximize business value and performance.
• Drive the design and evolution of telematics customer experiences, including ownership of key mobile app experiences and customer touchpoints.
• Ensure successful rollout and adoption of telematics products and capabilities through strong program delivery and cross-functional execution.
• Partner closely with Service organizations to support frontline readiness, training, knowledge management, escalations, and customer support experiences.
• Monitor competitive trends, emerging technologies, and industry best practices to inform future telematics strategy and investments.
• Build, develop, and inspire a high-performing team while fostering a culture of innovation, accountability, collaboration, and continuous improvement.
• Influence and align senior leaders across the enterprise to advance strategic priorities and deliver business outcomes.

• Highly developed quantitative analysis and problem-solving skills
• Excellent leadership and communication skills
• Proven ability to influence other leaders across an organization 10+ years progressively responsible work experience in an analytically driven environment
• Previous experience in consulting or call center / customer service analytics in insurance or financial services preferred but not required
• MBA or advanced degree in quantitative field preferred but not required

Liberty Mutual’s Embedded Channel, a quoting experience hosted directly on partner websites, saw millions of quotes in the past year, three times the volume of our call center and LM.com combined. Yet conversion remains low, meaning even a tenth of a percent improvement translates to thousands of additional policies annually. This role is a unique opportunity to be the dedicated advanced analytics expert for a high-growth channel that’s still in its early chapters. Launched in 2023, piloted through 2024, and now rapidly scaling with an expanding partner base. You’ll work closely with SPG relationship managers and leadership, partner with product teams, and present findings regularly to SPG leadership and their direct reports. The work centers on funnel optimization, A/B testing, and answering critical questions around questionnaire design and underwriting defaults across diverse partner experiences. If you’re someone who thrives on building something new, wants direct visibility with senior leadership across multiple departments, and is energized by turning massive data into actionable growth, this is that role!

**Level of position offered will be based on skills and experience at manager discretion**

**This role may have in-office requirements depending on candidate location**

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Responsibilities:

• Conducts high complexity, independent analysis in support of Embedded Channel business.
• Manages complex projects, while providing technical and analytical assessments of issues facing the Embedded Channel.
• Utilizes advanced statistical techniques to solve business problems, often working with complex data sources.
• May regularly utilize, update, and adapt predictive modeling tools and/or focus on the application of the tools within the Embedded Channel context.
• May develop analytic tools used by others to do their jobs more effectively and guide decision-making.
• Answers complex questions by synthesizing data from diverse sources, conducting independent analysis to generate actionable insights.
• Manages one or more complex research projects related to the Embedded Channel.
• Presents findings and recommendations to senior leadership that impact profitability, growth, and/or customer satisfaction.
• Leads discussions with senior leaders at the department or functional level, communicating analytical results clearly and persuasively.

• Bachelor’s Degree plus a minimum 5 years, typically 7 or more years, of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
• Master’s Degree preferred; advanced education may be substituted for years of experience (Ph.D. with no professional experience).
• Deep knowledge of data sources, tools and business drivers.
• Ability to apply advanced analytical concepts to improve business outcomes.
• Ability to build analytic tools that will be used by business teams to analyze results and opportunities.
• Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).
• Must have good planning, analytical, decision-making and communication skills.
• Ability to present data, visually and verbally, to guide conversations with business managers.