analytics leader

Norstella

<div>Description
<h3 class="jobSectionHeader">Description</h3> 
Why Norstella? Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization (Citeline, Evaluate, MMIT, Panalgo, and The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making.
 
 
Together, we help our clients:<ul><li>
Assess the market need and competitive landscape</li><li>
Know precisely which drugs to prioritize in their portfolio</li><li>
Find out where the launch difficulties will be&mdash;before they&rsquo;re difficulties</li><li>
Track and improve market access post-launch</li></ul> 
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. At Norstella, we don&rsquo;t just deliver information and insights. We deliver answers you can act on.<div><div> 
Real World Data Consulting Lead
Senior Director / Vice President &bull; Norstella &bull; Remote (US)</div></div> 
<div><div>
Function 
RWD Services and Consulting Practice Lead</div><div> 
Level 
VP, RWD Consulting</div><div> 
Location 
Remote &ndash; United States</div><div> 
Revenue Scope 
$10M P&amp;L; 25% year-over-year growth target</div><div> 
Reports To 
SVP MA Services</div><div> 
Team 
Growing consulting practice (current + planned hires)</div></div><h3 class="jobSectionHeader"> 
THE OPPORTUNITY</h3>
We are seeking a leader to build and scale Norstella&rsquo;s Real World Data consulting practice. This practice focuses on supporting both commercial and HEOR use cases to provide meaningful insights to our customers leveraging the Norstella RWD data assets. This is a high-impact role for a leader who combines deep RWD expertise with a commercial mindset. You will define the service offerings, partner with our commercial team, drive service excellence, provide our customers with meaningful insights, and grow a world-class team. You will serve as the senior-most expert and executive sponsor for our largest clients. This role owns a $10M revenue line with a mandate to drive 25% year-over-year growth through a combination of account expansion and collaboration with commercial sales team to grow consulting/services business. 
 
<h3 class="jobSectionHeader">KEY RESPONSIBILITIES</h3>
Practice Leadership &amp; Strategy<ul><li>
Define and execute the multi-year vision and go-to-market strategy for Norstella&rsquo;s RWD services.
</li><li>Build and continuously innovate the consulting service portfolio&mdash;spanning commercial and provider analytics, evidence generation, and advanced analytics.</li><li>
Serve as internal champion for RWD methodology and scientific excellence, ensuring rigor and fast time to value across all client engagements</li><li>
Partner with Norstella&rsquo;s product, data, and technology teams to integrate proprietary data assets into differentiated consulting solutions</li></ul>
Revenue Growth &amp; Commercial Execution<ul><li>
Own the $15M consulting P&amp;L with accountability for achieving 25% year-over-year revenue growth and achieve contribution margin targets.</li><li>
Drive land-and-expand strategy&mdash;securing new clients through consultative selling and deepening wallet share within existing accounts</li><li>
Develop trusted, executive-level relationships with our clients, serving as a strategic advisor rather than a transactional vendor</li><li>
Collaborate with our commercial team to co-lead the development of proposals, capability presentations, and responses to RFPs across the full business development lifecycle</li><li>
Collaborate with Norstella&rsquo;s commercial team to align sales motions, identify cross-sell opportunities, and build a healthy pipeline</li><li>
Establish and track KPIs for revenue, margin, utilization, and client satisfaction; report progress to executive leadership</li></ul>
Delivery Excellence &amp; RWD Leadership<ul><li>
Oversee our existing verticals: commercial and provider analytics, evidence generation, and advanced analytics to provide differentiated capabilities by combining our Norstella data assets with meaningful insights and high-impact consulting and services deliverables.
</li><li>Oversee the design and execution of high-quality RWD studies including retrospective cohort analyses, HEOR evaluations, comparative effectiveness research, and safety/epidemiology studies</li><li>
Provide services that offer high-impact meaningful insights to commercial analytics with fast time to value to serve multiple use cases such as: HCP targeting, patient journey, patient finding, brand performance, launch analytics, and more.
</li><li>Ensure methodological rigor and regulatory defensibility across all deliverables, particularly for FDA RWE submissions and HTA dossiers</li><li>
Drive innovation in analytical approaches&mdash;incorporating machine learning, NLP, and AI-driven methods where they add meaningful client value</li><li>
Lead quality review of key deliverables; maintain accountability for client outcomes and satisfaction</li><li>
Cultivate and leverage Norstella&rsquo;s data assets (claims, EHR, specialty pharmacy, oncology registries, etc.) to create differentiated evidence and commercial solutions</li></ul>
People Leadership &amp; Culture<ul><li>
Recruit, develop, and retain a high-performing team of RWD consultants, analysts, and scientific experts</li><li>
Establish a culture of innovation, intellectual curiosity, and client-centricity within the practice</li><li>
Leverage staffing models, capacity planning, and performance management processes for optimal business performance.</li><li>
Foster strong cross-functional collaboration with Norstella&rsquo;s RWD data science and data delivery, market access, commercial and product teams</li></ul>
Thought Leadership &amp; Market Presence<ul><li>
Represent Norstella at industry conferences (ISPOR, ASCO) through presentations, panels, and publications</li><li>
Author white papers, case studies, and points-of-view that establish Norstella as a leading voice in RWD/RWE</li><li>
Engage with regulatory agencies, key opinion leaders, and payer stakeholders to shape the broader RWE conversation</li><li>
Build and maintain an external network of academic collaborators, KOLs, and data partners</li></ul><h3 class="jobSectionHeader"> 
QUALIFICATIONS</h3>
Required<ul><li>
Advanced degree in a relevant discipline (PhD, MD, PharmD, ScD, or MPH preferred; MBA with strong scientific background considered)</li><li>
12+ years of progressive experience in real-world data, health economics &amp; outcomes research (HEOR), commercial analytics, epidemiology, or life sciences consulting</li><li>
Demonstrated P&amp;L ownership or significant revenue responsibility in a consulting, analytics, or professional services environment</li><li>
Proven track record of growing client accounts and winning new business&mdash;comfortable operating as scientist, commercial executive, and a seller</li><li>
Deep expertise in RWD sources: claims (commercial, Medicare, Medicaid), EHR, specialty pharmacy data, patient registries, and linked datasets</li><li>
Strong knowledge of regulatory frameworks for real-world evidence (FDA RWE Action Plan, PCORI methodology standards, NICE DSU guidance)</li><li>
Experience designing and overseeing observational studies: cohort design, propensity score methods, IPTW, survival analysis, indirect treatment comparisons</li><li>
Experience leading and developing multi-disciplinary teams of 10+ people</li><li>
Exceptional executive communication and presentation skills; able to translate complex analytics into compelling business narratives</li></ul>
Preferred<ul><li>
Experience at a top-tier life sciences consulting firm, CRO, Commercial Analytics, HEOR consultancy, or analytics company (e.g., IQVIA, Evidera, Analysis Group, Avalere)</li><li>
Therapeutic area depth in oncology, rare disease, immunology, or neuroscience</li><li>
Familiarity with AI/ML applications to RWD, including NLP for unstructured EHR data and predictive modeling</li><li>
Existing relationships with senior decision-makers at top 20 pharmaceutical and biotech companies</li></ul><h3 class="jobSectionHeader"> 
LEADERSHIP COMPETENCIES</h3>
We are looking for a leader who embodies the following:<ul><li>
Entrepreneurial Drive &ndash; you see white space, build things from scratch, and are energized by building a business, not just managing one</li><li>
Scientific Credibility &ndash; clients trust your expertise; you earn it through rigor, intellectual honesty, and staying close to the science</li><li>
Commercial Analytics &ndash; clients trust you expertise to help guide impactful commercial decisions that find and reach patients quickly</li><li>
Commercial Instinct &ndash; you understand what clients need before they articulate it, and you can translate that into a winning engagement or proposal</li><li>
Creative Problem-Solving &ndash; you approach evidence challenges with ingenuity, designing novel analytical approaches where standard methods fall short</li><li>
People Magnets &ndash; you attract and develop talent, and your teams consistently outperform because of the culture you create</li><li>
Executive Presence &ndash; you are equally at home presenting to a pharma CMO, testifying to a payer panel, or mentoring a first-year analyst</li></ul> 
 
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. 
 
All legitimate roles with Norstella will be posted on Norstella&rsquo;s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: ApplicationHelp@norstella.com</div>

Real World Data Consulting Lead

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

Infosys

<div>In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: 
<ul><li>Develop data preparation tasks, while identifying patterns or anomalies.</li><li>Ensure data readiness for advanced modeling.</li><li>Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.</li><li>Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.</li><li>Design and develop predictive models and data-driven analyses to address business challenges.</li><li>Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.</li><li>Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.</li><li>Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.</li><li>Proactively maintain models and implement improvements for accuracy and reliability.</li><li>Apply governance controls to mitigate risks and ensure compliance.</li><li>Analyze performance trends, recommend improvements, and document discrepancies for escalation.</li><li>Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.</li><li>Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.</li><li>Apply the predefined quality measurement framework at an individual task level in the project.</li><li>Deploy complex analytics tools or multi-system integration, while validating deployment success.</li><li>Participate in developing scripts or templates for repeated deployments tasks.</li><li>Contribute to analytic solutions, IP asset creation, and training initiatives.</li><li>Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.</li><li>Participate in and deliver analytics training, while contributing to content creation.</li><li>Provide input for segment and unit-level business plans.</li></ul> 
 
 
 
Your contribution to the team: 
 
<ul><li>Deliver scalable, high-quality analytics solutions aligned to business needs.</li><li>A knack for optimization, deployment and performance improvement of models.</li><li>The ability to drive innovation through advanced analytics, automation and thought leadership.</li><li>Enable team growth through knowledge sharing, training and standardization.</li><li>Support business planning with data-driven insights.</li></ul></div>

AI Engineer Analytics

Pantheon Data

<div>Company Overview
Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.
Position Overview
The Data Analytics Technical Expert provides executive-level analytics leadership, business intelligence expertise, and strategic guidance supporting enterprise analytics, performance management, and decision support capabilities.
Responsibilities<ul><li>
Lead analytics modernization initiatives.</li><li>
Direct business intelligence and data visualization efforts.</li><li>
Oversee performance measurement and reporting frameworks.</li><li>
Support project portfolio management and analytics governance.</li><li>
Conduct strategic analyses supporting mission objectives.</li><li>
Guide teams in the development of advanced reporting and dashboard solutions.</li><li>
Present findings to executive stakeholders.</li></ul>
Required Skills and Experience<ul><li>
Bachelor's degree in Engineering, Business, Data Analytics, or related field.</li><li>
CSPO, DHS Mid-Level Project Management Certification, or equivalent.</li><li>
10 years of relevant experience, or 5 years with a Master's degree.</li><li>
Ability to work effectively remotely in cross-functional teams.</li><li>
Ability to meet deadlines and produce quality work.</li><li>
Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.</li></ul>
Clearance Requirements
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required.
Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.)<ul><li>
Hybrid work schedule with periodic onsite support.</li><li>
Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</li><li>
If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.</li><li>
If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.</li></ul>
Compensation
The salary range for this position is $100,000 - $200,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Benefits Overview
We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/
Pantheon Data Important Information
All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.
This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster</div>

Data Analytics Technical Expert

Original Composites and Fibers

<div><h2 class="jobSectionHeader">About OCF and the Business Transition</h2>
OCF is now owned by Praana Group and is becoming a standalone global business through the divestiture of the Glass Reinforcements business from Owens Corning. As the organization evolves, the business is moving through a period of significant transition, including integration work, process redesign, and key transformation initiatives such as ERP implementation.
This role requires a finance leader who is comfortable working in ambiguity, building structure as the business changes, and partnering across functions to support decision-making during a dynamic transformation period. 
<h2 class="jobSectionHeader">
Position Summary</h2>
The Alloy Finance Leader serves as the primary finance partner for the global Alloy and Metal Services business. This role provides financial leadership, business analysis, forecasting, performance management, and decision support across a global manufacturing and supply chain network. 
 
The successful candidate will partner closely with manufacturing, supply chain, sourcing, and business leaders to drive profitability, improve operational performance, support strategic investments, and deliver actionable financial insights. This is a hands-on leadership role that combines team leadership with direct involvement in analysis, forecasting, reporting, and business decision support. 
<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Serve as the finance leader and strategic business partner for the alloy and Metal Services business.</li><li>
Lead forecasting, annual planning, financial reporting, and performance management processes.</li><li>
Provide financial analysis and recommendations to support business growth, profitability, and operational excellence.</li><li>
Develop business cases and financial evaluations for capital investments and key strategic initiatives.</li><li>
Partner with manufacturing, supply chain, sourcing, and commercial leaders to improve business performance.</li><li>
Provide oversight of inventory management, metals tracking, working capital performance, and financial controls.</li><li>
Identify risks and opportunities and recommend actions to improve results.</li><li>
Lead and develop a global team while fostering a culture of accountability, collaboration, and continuous improvement.</li><li>
Support internal controls, compliance, and audit requirements across the business.</li><li>
Support business integration, process transformation, and ERP-related initiatives by providing financial insight, structure, and cross-functional partnership.</li><li>
Communicate clearly and proactively with leaders and cross-functional partners to align priorities, explain financial implications, and support effective decision-making during periods of change.</li><li>
Bring a constructive, solutions-oriented approach to transformation work, helping the team navigate ambiguity, shifting priorities, and evolving business processes.</li></ul>
<h2 class="jobSectionHeader">
Qualifications</h2>
Required<ul><li>
Bachelor's degree in Finance, Accounting, Economics, Business or related field.</li><li>
5-7 years of progressive experience in finance, FP&amp;A, operations finance, or manufacturing finance.</li><li>
Experience leading forecasting, budgeting, financial reporting, and business performance management.</li><li>
Strong analytical, problem-solving, and business partnering skills.</li><li>
Experience leading and developing team members.</li><li>
Ability to influence decisions across functions and levels or an organization.</li></ul>
Preferred<ul><li>
MBA, CPA, CMA, or equivalent professional certification.</li><li>
Experience in a multinational manufacturing company, preferably within industrial, supply chain, or operations-focused environments.</li><li>
Experience working in both hybrid and remote in a global business environment.</li><li>
Advanced knowledge of SAP and Microsoft Excel.</li><li>
Experience successfully leading through business transition, integration, or transformation initiatives.</li></ul><h2 class="jobSectionHeader">
What Success Looks Like</h2>
The successful candidate is a highly collaborative finance leader who combines strong financial acumen with a hands-on approach. They are comfortable leading a team, partnering with business leaders, personally engaging in analysis and problem-solving, and operating effectively through ambiguity as the business evolves through integration, transformation, and ERP-related change. They communicate with clarity, remain constructive as priorities shift, and bring prior experience successfully leading teams or business partners through transition. They are energized by the opportunity to help build structure in a changing business environment. 

VO39eWmulM</div>

Alloy Finance Leader

CRUSOE

<div>Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack &mdash; from electrons to tokens &mdash; to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that &mdash; with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved &mdash; people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About the Role:
We're looking for an analytically sharp, technically creative Analytics Lead, Total Rewards to join our Total Rewards team. This role sits at the intersection of people data, financial modeling, and systems intelligence &mdash; and is a great fit for someone who loves turning complex, sensitive datasets into clear insights and scalable tools.
You don't need to come from a Compensation or Benefits background. What matters most is that you're a strong modeler, a natural systems thinker, and someone who gets excited about building smarter, more automated ways to work with data.<div></div> 
What You'll Be Working On:<ul><li>
Reporting &amp; Systems Expertise<ul><li>
Become a deep subject matter expert in reporting across our HCM, compensation, and benefits platforms (e.g., Workday, Radford/WTW, market pricing tools, benefits administration systems)</li><li>
Own the design, development, and maintenance of dashboards and recurring reports that surface Total Rewards data for HR, Finance, and business partners</li><li>
Partner with HR Systems and IT to improve data quality, integrations, and reporting infrastructure</li></ul></li><li>
Financial &amp; Compensation Modeling<ul><li>
Build and maintain financial models to support compensation planning cycles, benefits cost analysis, merit and equity budgeting, and headcount forecasting</li><li>
Conduct benchmarking analyses using survey data and internal pay data to support compensation reviews and program design decisions</li><li>
Handle and safeguard sensitive employee data with the highest degree of discretion and compliance</li></ul></li><li>
Automation &amp; AI-Enabled Tooling<ul><li>
Proactively identify manual, repetitive workflows and build automated solutions to replace them</li><li>
Develop or contribute to AI-enabled tools that improve team efficiency &mdash; whether that's prompt-based workflows, LLM-assisted data parsing, or intelligent reporting triggers</li><li>
Bring a creative, builder mindset to tooling: if a better process doesn't exist, you design it</li></ul></li><li>
Collaboration &amp; Insight<ul><li>
Translate complex data into clear narratives and recommendations for non-technical stakeholders</li><li>
Support ad hoc analytical requests from Total Rewards, HR leadership, and Finance</li><li>
Document methodologies, data dictionaries, and model logic to ensure reproducibility and knowledge sharing</li></ul></li></ul><div></div> 
What You'll Bring to the Team:<ul><li>
3&ndash;7 years of experience in a data, analytics, financial modeling, or systems-focused role (Total Rewards experience a plus, not a requirement)</li><li>
Advanced proficiency in Excel/Google Sheets &mdash; you can build complex models from scratch without hand-holding</li><li>
Experience building dashboards and visualizations in tools like Tableau, Power BI, Looker, or similar</li><li>
Demonstrated ability to work with large, sensitive datasets with accuracy and discretion</li><li>
Strong analytical instincts &mdash; you can spot what the data is really saying, not just what was asked</li><li>
You'll be working with some of the most sensitive and strategically important data in the company</li><li>
You'll have real creative latitude to build new tools and processes &mdash; not just maintain existing ones</li><li>
You'll partner closely with senior Total Rewards leaders and have visibility into compensation and benefits strategy</li><li>
This is a role where strong technical work directly translates to business impact</li></ul><div></div> 
Bonus Points<ul><li>
Experience with HCM platforms (Workday strongly preferred) and their reporting/analytics layers</li><li>
Hands-on experience building AI-enabled tools or workflows &mdash; whether using APIs, LLMs, low-code platforms, or custom scripts</li><li>
Proficiency in Python, SQL, or R for data manipulation and automation</li><li>
Familiarity with compensation or benefits data structures, even if not in a dedicated Comp/Benefits role</li><li>
Experience with compensation survey tools (Radford, WTW, Mercer, etc.) a plus</li></ul><div></div> 
Benefits:<ul><li>
Competitive compensation and equity packages</li><li>
Restricted Stock Units</li><li>
Paid time off, paid holidays &amp; leave of absence programs</li><li>
Comprehensive health, dental &amp; vision insurance</li><li>
Employer contributions to HSA account</li><li>
Paid parental leave</li><li>
Paid life insurance, short-term and long-term disability</li><li>
Professional development &amp; tuition reimbursement</li><li>
Mental health &amp; wellness support</li><li>
Commuter benefits (parking &amp; transit)</li><li>
Cell phone stipend</li><li>
401(k) Retirement plan with company match up to 4% of salary</li><li>
Volunteer time off</li><li>
Global travel insurance &amp; emergency assistance</li><li>
Daily meals allowance</li><li>
Additional perks &amp; programs specific to location</li></ul><div></div> 
Compensation Range
Compensation will be paid in the range of up to $120,000 - $175,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.<div></div> 
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.</div>

Analytics Lead, Total Rewards

Everest Re Group

<div>Company:
Everest Reinsurance Company
Job Category:
Analytics
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the role: 
 
Everest is seeking a visionary and commercially-minded Chief Pricing Actuary &ndash;
 
Global Wholesale and Specialty to lead the evolution of pricing, underwriting
 
decision science, and advanced analytical capabilities across its Global Wholesale and Specialty businesses, which covers all Insurance and Facultative business at Everest. 
 
Reporting directly to the Global Chief Actuary, this executive will be responsible for defining and executing the global pricing strategy, modernizing pricing
 
capabilities, and building a best-in-class pricing organization that leverages
 
advanced analytics, artificial intelligence, machine learning, and data-driven
 
underwriting insights to create sustainable competitive advantage. 
 
The successful candidate will serve as a strategic partner to Underwriting, Finance, Risk, Technology, and Executive Leadership, driving profitable growth through innovation, underwriting excellence, and disciplined pricing governance. This leader will play a critical role in transforming the pricing function into a future-focused center of excellence that enables faster, smarter, and more informed underwriting decisions.
Key Responsibilities 
 
Strategic Leadership &amp; Transformation
<ul><li>Partner with the Global Chief Actuary and business leadership to define and execute the long-term vision for pricing, underwriting decision science, and analytical innovation across Everest&rsquo;s Global Wholesale and Specialty businesses.
</li><li>Lead the transformation of the pricing organization into a technology- enabled, analytics-driven function focused on innovation, efficiency, and business impact.
</li><li>Champion the adoption of artificial intelligence, machine learning, predictive analytics, and emerging technologies to enhance underwriting performance and business outcomes.
</li><li>Establish a culture of continuous improvement, innovation, experimentation, and intellectual curiosity across the actuarial organization.
</li><li>Serve as a key member of the Global Actuarial Leadership Team and a trusted advisor to senior executives.
</li><li>Challenge conventional approaches to pricing and underwriting, harness emerging technologies, and build next-generation pricing capabilities that position Everest as an industry leader in data-driven underwriting and risk selection.
</li></ul>Pricing Strategy &amp; Underwriting Performance
<ul><li>Develop and oversee global pricing strategies that support Everest&rsquo;s profitability, growth, return on capital, and underwriting objectives.
</li><li>Partner closely with underwriting leadership to establish product and market-specific pricing strategies.
</li><li>Monitor pricing adequacy and business performance through regular reviews and analytics-driven insights.
</li><li>Drive underwriting performance improvement initiatives through enhanced segmentation, risk selection, and profitability management.
</li><li>Lead profitability studies and business performance reviews to identify opportunities for growth, remediation, and capital optimization.
</li><li>Monitor emerging market, social inflation, legal, economic, regulatory, and competitive trends and incorporate insights into pricing strategies, assumptions, and underwriting guidance.
</li><li>Drive continuous refinement of pricing assumptions, methodologies, and risk segmentation to reflect evolving loss experience and market conditions. 
</li></ul> 
Advanced Analytics, AI &amp; Decision Science
<ul><li>Establish a roadmap for integrating AI and machine learning into pricing, underwriting, and operational workflows.
</li><li>Drive development of predictive models, risk scoring methodologies, underwriting decision tools, and real-time underwriting insights.
</li><li>Partner with the Business Solutions and Actuarial R&amp;D teams to develop scalable analytical solutions and next-generation underwriting tools.
</li><li>Promote the responsible use of AI through strong governance, transparency, explainability, and model risk management practices.
</li><li>Identify opportunities to automate manual processes and improve underwriting efficiency through intelligent workflow solutions.
</li></ul>Pricing Models &amp; Infrastructure
<ul><li>Oversee the design, development, validation, deployment, and governance of pricing models across all Global Wholesale and Specialty businesses.
</li><li>Ensure pricing models are calibrated to Everest&rsquo;s return-on-capital management objectives.
</li><li>Establish and maintain a robust technical pricing framework grounded in return-on-capital principles, ensuring pricing models appropriately reflect expected loss costs, catastrophe risk, expense loads, capital utilization, and target profitability across Global Wholesale and Specialty businesses.
</li><li>Ensure actuarial methodologies, assumptions, and model frameworks remain technically sound, market-leading, and aligned with evolving risk characteristics.
</li><li>Oversee model performance monitoring, recalibration, and enhancement to maintain pricing accuracy and business relevance.
</li><li>Lead modernization of pricing platforms, tools, and infrastructure to support scalability, consistency, and operational excellence.
</li><li>Partner with Technology teams to embed pricing and analytical capabilities directly into underwriting workflows and decision-making processes.
</li><li>Advance data quality, model performance monitoring, and pricing effectiveness measurement across the organization. 
</li></ul> 
Transactional Pricing &amp; Catastrophe Pricing Support
<ul><li>Provide strategic guidance on large, complex, and high-profile transactions.
</li><li>Support underwriting leadership through sophisticated risk assessment and transaction-level pricing analysis.
</li><li>Ensure appropriate catastrophe pricing methodologies, tools, and insights are available to support underwriting decisions for catastrophe-exposed risks.
</li><li>Partner closely with Catastrophe Analytics and Underwriting teams to incorporate catastrophe risk assessments into pricing decisions.
</li><li>Ensure robust analytical frameworks are available to support complex risk evaluation and underwriting decisions. 
</li></ul> 
Governance &amp; Risk Management
<ul><li>Establish and maintain global pricing governance standards, frameworks, controls, and policies.
</li><li>Lead pricing model governance and peer reviews and support validation and audit processes.
</li><li>Ensure compliance with regulatory, actuarial, and internal governance requirements.
</li><li>Partner with Enterprise Risk Management and Model Risk Management functions to maintain strong oversight of analytical methodologies and models.
</li><li>Promote consistency and transparency across all pricing and analytical activities globally. 
</li></ul> 
Business Partnership &amp; Enterprise Collaboration
<ul><li>Partner with Reserving, Finance, Capital Management, Enterprise Risk Management, Claims, and Underwriting teams to support enterprise objectives.
</li><li>Contribute to business planning, underwriting strategy, and capital allocation decisions.
</li><li>Advise executive leadership on pricing performance, profitability trends, and strategic opportunities.
</li></ul>Talent &amp; Organizational Leadership
<ul><li>Lead and develop a high-performing global pricing and analytics organization.
</li><li>Attract, retain, and develop top actuarial, data science, and analytical talent.
</li><li>Foster a collaborative, diverse, and inclusive culture focused on innovation, accountability, and continuous learning.
</li><li>Develop future leaders and establish clear succession planning across the function.
</li><li>Create opportunities for professional growth and advancement through mentoring, coaching, and strategic talent development. 
</li></ul> 
Skills, Knowledge &amp; Abilities
<ul><li>Proven track record leading large-scale actuarial, analytics, or pricing organizations within specialty insurance, wholesale insurance, reinsurance, or facultative markets.
</li><li>Demonstrated ability to influence business strategy and drive enterprise- wide change at executive levels.
</li><li>Strong commercial acumen with deep understanding of specialty and wholesale insurance business models.
</li><li>Recognized thought leader in pricing, underwriting decision science, predictive analytics, and underwriting performance management.
</li><li>Experience driving digital transformation, AI adoption, and modernization initiatives within insurance organizations.
</li><li>Strong understanding of machine learning, predictive modeling, advanced analytics, and emerging technologies.
</li><li>Deep expertise in exposure-based pricing, catastrophe risk pricing, stochastic techniques, risk segmentation, predictive modeling, and advanced pricing methodologies.
</li><li>Strong understanding of return-on-capital frameworks, capital allocation principles, and risk-adjusted performance measurement.
</li><li>Strong actuarial judgment with demonstrated expertise in translating complex actuarial analyses into practical underwriting and business decisions.
</li><li>Deep understanding of industry trends, emerging risks, market cycles, social inflation, and evolving loss cost drivers across specialty and wholesale businesses.
</li><li>Recognized ability to balance technical rigor with commercial pragmatism in dynamic market environments.
</li><li>Excellent leadership, communication, and stakeholder management skills.
</li><li>Ability to translate complex analytical insights into actionable business decisions.
</li><li>Strong project and change management capabilities with a track record of delivering transformational outcomes.
</li><li>Growth mindset with a passion for innovation, learning, and continuous improvement.
</li></ul>Education &amp; Experience
<ul><li>Fellow of the Casualty Actuarial Society (FCAS) required.
</li><li>Bachelor&rsquo;s degree in Actuarial Science, Mathematics, Statistics, Data Science, Economics, Engineering, or related discipline preferred.
</li><li>Minimum 15 years of actuarial pricing and leadership experience.
</li><li>Demonstrated experience leading global teams and complex cross- functional initiatives.
</li><li>Strong knowledge of modern analytical technologies and programming languages, including Python, SQL, R, and cloud-based analytical environments.
</li><li>Experience implementing AI, machine learning, and advanced analytical solutions within insurance organizations preferred. 
</li></ul> 
Success Profile 
 
The successful candidate will be a transformational leader who combines actuarial excellence with strategic vision, technological curiosity, and business acumen. This individual will help redefine how Everest leverages data, analytics, and artificial intelligence to improve underwriting decisions, enhance pricing sophistication, anticipate emerging risks and market trends, accelerate decision-making, and drive profitable growth across its Global Wholesale and Specialty businesses.
The base salary range for this position is $344,000 - $400,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
What if I don&rsquo;t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn&rsquo;t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. 
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors.
<ul><li>Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
</li><li>Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. 
</li></ul>All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
New York, NY
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
Everest U.S. Privacy Notice | Everest (everestglobal.com)</div>

Chief Pricing Actuary – Global Wholesale and Specialty

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