analytics leader

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Are you a strategic, data-driven leader who enjoys solving complex, system-level problems? Do you want to shape how platforms and networks scale through advanced analytics and AI-native experiences? If so, we have an exciting opportunity for a Staff Network Capacity Planning within our Intuit Quickbooks family of products and services. 
In this role, you will own network capacity planning for an end-to-end capability or a major portion of experiences within a composite application supporting millions of small business customers. You will act as a technical leader and domain expert, applying data science, systems thinking, and AI-driven insights to influence product, technology, and business decisions at scale across Intuit Quickbooks family of products and services. 
You will translate business strategy into analytical problems, develop predictive models and KPI frameworks, and drive experimentation and learning at the Business Units and Intuit Group levels. You will also help define analytics and AI standards that scale across the organization. 
Responsibilities<div>
Own and evolve network capacity planning strategy for complex, large-scale systems within the Intuit Quickbooks family of products and services.</div><div>
Translate business strategy into hypotheses, models, and actionable insights that inform leadership decisions. Design and analyze experiments (A/B/n, bandits, causal methods) to inform decision-making</div><div>
Design and maintain forecasting, capacity, and analytics models using statistical, machine learning, and causal inference methods</div><div>
Define KPI frameworks and success metrics at the BU and IG levels</div><div>
Lead end-to-end analytics initiatives, including scoping, execution, and stakeholder alignment</div><div>
Influence product, technology, and analytics direction as a technical leader and domain expert</div><div>
Ideate and influence AI-powered solutions and measurement strategies for AI-native experiences</div><div>
Understand AI architectures (e.g., GenOS, LLMs) and their implications for data, modeling, and customer behavior</div><div>
Communicate insights clearly and persuasively to senior and executive leaders</div><div>
Mentor senior analysts and data scientists and help establish analytics standards adopted across Intuit Quickbooks family of products and services.</div> 
Qualifications<div>
7+ years of experience in network capacity planning, workforce planning, or operational forecasting with increasing scope and impact</div><div>
 Deep expertise in data science, analytics, or applied statistics</div><div>
 Advanced proficiency in SQL, Python, R, and Generative AI tools</div><div>
 Strong experience with experimentation, causal inference, and KPI development</div><div>
 Demonstrated ability to influence strategy and decisions beyond immediate team</div><div>
 Excellent data storytelling, communication, and stakeholder influence skills</div><div>
 Systems thinking mindset with strong business acume</div> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:<div>
Southern California $ 179,000- 242,000</div></div>

Staff Data Scientist- Forcasting

Cache Creek Casino Resort

<div>Summary
The Director of Analytics will guide the efforts of a cross functional team of analysts including both direct and indirect reports. The leader and team will use data to uncover opportunities, anticipate challenges, and deliver clear, actionable recommendations to improve profitability and enhance guest experience at Cache Creek Casino Resort. This role requires not just technical expertise, but the ability to communicate complex findings in a simple, persuasive way that drives action.

The Director of Analytics will anticipate business needs, identify revenue and efficiency opportunities, and craft strategies that directly impact the bottom line. This position will partner across all facets of the organization, develop a team of Analysts to think critically around performance, and serve as a strategic leader for the resort in instilling a culture of data-driven decision-making.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

Act as the primary business advisor to operations leaders, ensuring data insights directly influence decision-making.

Translate complex analytics into simple, compelling business stories that resonate among leaders with varying degrees of exposure to data and analytics.

Present insights and recommendations with clarity, confidence, and an emphasis on measurable business impact.

Continuously monitor business performance across all gaming (slots, table games) and non-gaming departments (hospitality, F&amp;B, other) to spot emerging trends, risks, and opportunities.

Develop forward-looking analyses, forecasting and scenarios to guide strategy, rather than just reporting on past performance.

Recommend and help implement initiatives that increase revenue, improve efficiency, or improve guest / employee experience.

Quantify the impact of strategic initiatives to align leadership and prioritize resources against the biggest opportunities.

Deliver real-time insights and dashboards on KPIs around gaming performance, hotel occupancy, labor utilization, and other key areas of resort operations.

Build and lead a team of analysts skilled in BI, predictive analytics, and data storytelling; instill a culture of curiosity and proactive problem-solving.

Partner with Finance, IT and Marketing counterparts to identify opportunities to integrate new data sources and improve processes around data storage / access.

Train operators to leverage analytical tools effectively in daily decision-making.

Ensure consistency in metrics and data definitions across the enterprise.

Ability to adapt to business needs; willingness to be tactical and hands-on with data when needed, while maintaining long-term strategic vision of Analytics&rsquo; role.

Ability to prioritize projects across multiple stakeholders and efficiently utilize time and resources.

Supervisory Responsibilities
Directs a team of two analysts and indirectly guides analysts in IT and Marketing. Responsible for the overall direction, coordination, and evaluation of the analytics function. Carries out supervisory responsibilities in accordance with the organization's policies. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodation. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education and/or Experience
Bachelor&rsquo;s degree in Business, Analytics, Economics, or related field (Master&rsquo;s preferred), with a minimum of 7 years of job related analytics, business intelligence, or strategy experience, including must have a minimum of 3 years in a leadership role preferrably with direct reports; proven track record of delivering measurable revenue growth or cost savings through strategic use of data; experience in and passion for gaming and hospitality.

Language Skills

Exceptional communication and storytelling skills; ability to influence senior leaders with data-driven narratives and implement recommendations among front-line employees. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of an organization.

Mathematical Skills

Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
Reasoning Ability
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

Computer Skills
To perform this job successfully, an individual should have Must have familiarity with data warehousing, cloud platforms, and enterprise reporting tools. Proficiency with Microsoft Excel and PowerPoint. Experience with integrating new data sources and improving data access processes. Advanced skills with BI tools and data platforms (e.g., Tableau, Power BI, SQL, Python, R).

Certificates, Licenses, Registrations
Cache Creek Casino Resort Tribal Gaming License.

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job with or without reasonable accommodation.

While performing the duties of this Job, the employee is regularly required to talk or hear. The employee is frequently required to sit. The employee is occasionally required to stand, walk, use hands to finger, handle, or feel and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job with or without reasonable accommodation.

Work takes place in an office environment. The noise level in the work environment is usually quiet. There is occasional exposure to secondhand smoke on the casino gaming floor.

#CCCR1</div>

Director of Analytics-Finance

Boardwalk Pipeline Partners

Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com.
 
Join a collaborative, high-performing HR team focused on delivering data-driven insights that shape workforce strategy and business outcomes. The People Analytics Lead will lead the development of the People Analytics Center of Excellence (COE) by ensuring the integrity, scalability, and strategic use of HR data across the enterprise.
 Reporting to the VP Total Rewards, HRIS & People Analytics this role leads the development and governance of the HR data warehouse, delivers actionable human capital insights, and enables HR and business leaders to make informed decisions through advanced reporting, analytics, and data visualization.
 This position operates independently, drives continuous improvement, and serves as a subject-matter leader on HR analytics initiatives.
 
Summary Overview
 
The People Analytics Lead enables data-driven workforce decisions by designing, governing, and delivering trusted HR analytics across the enterprise. This role leads the HR data warehouse strategy, modernizes reporting capabilities, and provides actionable insights that advance organizational effectiveness. Operating as a subject-matter leader, the position partners closely with HR, IT, and business leaders to translate complex human capital data into strategic recommendations.
 
Position Description
 
Lead the design and development of the People Analytics CoE at Boardwalk HR. Own the maintenance, integrity, and optimization of the HR data warehouse and human capital analytics ecosystem. Modernize our current reporting capabilities to create insightful reporting which delivers actions and enables decision making. Help support the implementation of a cloud-based HRIS system and leverage AI where available to improve and automate our reporting.
 
Key Responsibilities
 
<ul>
<li>Support and govern all HR data warehouse maintenance and human capital analytics to ensure data integrity, scalability, and alignment with enterprise reporting standards.</li>
<li>Evaluate emerging HR technologies and analytics capabilities to ensure a future-ready data infrastructure</li>
<li>Research and interpret business trends and workforce issues to provide insights and strategic recommendations to senior management on human capital performance.</li>
<li>Translate analytical findings into executive-ready reports, dashboards, and proposals, including recommendations for action or implementation plans, and present insights to HR leadership.</li>
<li>Participate in and support enterprise initiatives designed to advance strategic objectives and operational goals, including analysis of human capital trends to inform future workforce strategy.</li>
<li>Collaborate with internal stakeholders and cross-functional teams to design and implement programs that drive growth, efficiency, and organizational effectiveness, and evaluate outcomes against defined success metrics.</li>
<li>Identify and assess industry trends and benchmarking data, participating in external forums to build institutional knowledge and apply best practices to the organization’s people analytics strategy.</li>
<li>Leverage HR systems and analytics tools such as Dayforce, Oracle Fusion, Spotfire and Power BI to deliver accurate, timely, and meaningful data and insights across the organization.</li>
<li>Partner with IT data architecture and Reporting COE teams to improve data quality, governance, and reporting processes, ensuring alignment with enterprise data strategy.</li>
<li>Create intuitive, data-as-a-service environments that empower HR partners and business leaders to make real-time, data-driven decisions.</li>
<li>Drive data literacy across HR by coaching and mentoring partners on analytics tools and strategic inquiry.</li>
<li>Coach HR partners and stakeholders on navigating analytics platforms, interpreting insights, and framing strategic questions that influence business leaders and drive high-impact outcomes.</li>
<li>Evaluate and recommend emerging HR technologies and analytical tools to support a scalable, future-ready data infrastructure; partner with IT and business stakeholders to improve data accessibility and usability.</li>
<li>Perform other duties as assigned in support of HR analytics, reporting, and workforce strategy objectives.</li>
</ul>
Qualifications
 
Education & Experience
 
<ul>
<li>Bachelor’s degree preferred</li>
<li>Must have at least 5 years of experience in HR reporting, analytics and application support (HR Systems and/or Reporting and Analytics) or equivalent experience</li>
<li>Strong analytical skills and success in using data driven insights to make business decisions.</li>
<li>Specialized experience is building and maintaining data warehouses, collaborating with IT to develop robust data testing protocols, and developer skill set for building reports and dashboards</li>
<li>Strong project and relationship management skills and able to collaborate and mentor effectively across cross functional teams.</li>
<li>Excellent written and verbal communication and networking skills</li>
</ul>
Skills
 
<ul>
<li>Must be able to analyze data and validate assumptions</li>
<li>Previous process improvement analysis skills preferred</li>
<li>Must have attention to detail and understanding of data elements</li>
<li>Must be discreet with access to highly privileged employee data</li>
<li>Must be able to manage time and work priorities</li>
</ul>
Systems & Applications
 <ul>
<li>Dayforce</li>
<li>Microsoft Power BI and Excel</li>
<li>Spotfire</li>
<li>Data modeling and system testing tools</li>
</ul>
ADDITIONAL INFORMATION: 
Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring.
 
Boardwalk Pipelines, LP, is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

People Analytics Lead

International

<div>Position Overview:
<div>
The AI and Data Science Lead will be responsible for helping drive, enhance, and scaling the AI program at International. This role will lead the organization&rsquo;s AI and Data Science function, working closely with business partners to identify and evaluate new opportunities, develop scalable solutions, and strengthen enterprise AI/ML and data science capabilities.</div><div> 
This leader will oversee a growing team of AI/ML developers and data scientists and will play a key role in shaping the strategic direction of AI across the organization. The position will focus equally on building and scaling the data science practice and leading a high-performing team, partnering with adjacent functions such as data engineering, insights and BI, data governance, and data/enterprise architecture to deliver impactful, data-driven solutions.</div><div> 
As International continues to develop its AI Center of Excellence, this role offers the opportunity to help define and advance the organization&rsquo;s AI strategy and capabilities.</div>
Responsibilities:
<ul><li>Lead and evolve the organization&rsquo;s Data Science AI/ML function, including strategy, execution, and team development.</li><li>
Contribute to building International&rsquo;s AI Center of Excellence, helping define the roadmap and long-term capability strategy.</li><li>
Manage and mentor a small team of AI/ML developers and data scientists with plans to grow the function over time.</li><li>
Establish best practices, governance, and standards for AI development and deployment across the organization.</li><li>
Partner with business leaders to identify, evaluate, and prioritize new opportunities that deliver measurable business value.</li><li>
Design and implement scalable AI and machine learning solutions that support enterprise initiatives.</li><li>
Improve and operationalize intake and evaluation process to ensure the right projects are prioritized and executed.</li><li>
Collaborate with cross-functional business teams including</li><li>
Production and Logistics, Research and Development, IT,</li><li>
Finance, Procurement, HR, etc. to deliver cross-functional solutions.</li><li>
Translate complex analytical insights into clear executive-level messaging and recommendations.</li></ul>
Minimum Requirements:
<ul><li>Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 11 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul><div>
OR</div><ul><li>
Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 9 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul><div>
OR</div><ul><li>
PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at least 7 years of analytics, data quality or statistical analysis experience</li><li>
At least 2 years of lead experience</li></ul>
Additional Requirements:
<ul><li>Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)</li></ul>
Desired Skills:
<ul><li>Advanced degree (Master&rsquo;s or PhD) in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Economics, or a related quantitative field.</li><li>
Experience in data science, machine learning, or AI, including experience leading and scaling teams or practices.</li><li>
Demonstrated success building, leading, and advancing enterprise data science or AI/ML capabilities.</li><li>
Strong experience and familiarity with modern AI, data science, machine learning tooling.</li><li>
Demonstrated experience understanding and helping shape technology and architecture selection to advance organizational AI.</li><li>
Experience developing and executing AI/ML strategy within complex organizations.</li></ul>
Benefits and Compensation:

This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits. 
 
The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.
Company Overview:
<div>ABOUT TRATON</div><div>
With its brands Scania, MAN, International, and Volkswagen Truck &amp; Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world&rsquo;s leading commercial vehicle manufacturers. The Group&rsquo;s product portfolio comprises trucks, buses, and light-duty commercial vehicles. &ldquo;Transforming Transportation Together. For a sustainable world.&rdquo;: this intention underlines the Company&rsquo;s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group&rsquo;s commercial growth.</div><div></div><div> 
ABOUT INTERNATIONAL 
From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International&reg; trucks and engines and IC Bus&reg; school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite&reg; aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck &amp; Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit www.International.com.</div><div></div><ul><li> 
International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.</li></ul>
EEO Statement:
<div>
We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div><div> 
If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUB@International.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.</div>
Job Posting: #LI-Onsite, #LI-POST</div>

AI and Data Science Lead

Openkyber

<div>Position Title: Senior Analytics Engineer
Location: Remote
Position Overview
We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role focuses on translating and enhancing legacy SAS-based analytics into scalable, maintainable Python-based solutions. This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate combines strong analytical thinking, deep Python expertise, and the ability to interpret and refactor complex SAS logic while preserving business intent and output accuracy.
Key Responsibilities
<ul><li>Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and analytical procedures</li>
<li>Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic</li>
<li>Partner closely with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage</li>
<li>Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python</li>
<li>Improve and modernize analytics pipelines by simplifying logic and reducing technical debt</li>
<li>Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards</li>
<li>Document business logic, assumptions, and data transformations for long-term maintainability</li>
<li>Ensure accuracy and integrity of analytical outputs through thorough validation and testing</li>
</ul>Required Qualifications
<ul><li>Strong experience with Python for data analysis, including pandas, numpy, and SQL integration</li>
<li>Working knowledge of SAS, with the ability to confidently read and interpret existing SAS code</li>
<li>Experience translating or modernizing legacy analytics or reporting logic</li>
<li>Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics</li>
<li>Experience validating analytical outputs and ensuring data accuracy</li>
<li>Ability to collaborate with business users and translate analytical requirements into technical solutions</li>
</ul>Preferred Qualifications
<ul><li>Experience in healthcare, payer, or regulated data environments</li>
<li>Familiarity with SAS macros and common PROC workflows</li>
<li>Exposure to cloud-based analytics platforms or modern data stacks</li>
<li>Experience supporting Business Intelligence, reporting, or informatics teams</li>
<li>Background in analytics engineering or data transformation roles
</li></ul>For applications and inquiries, contact: hirings@openkyber.com</div>

OCI Analytics Cloud Engineer

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job Responsibilities<ul>
<li>Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li>
<li>Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li>
<li>Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul>
<li>PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li>
<li>Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li>
<li>Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li>
<li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li>
<li>Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li>
<li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li>
<li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities , and skills:<ul>
<li>Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li>
<li>Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li>
<li>Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li>
<li>Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director Machine Learning Center of Excellence

InvenTel

Job Title: Analytics ManagerLocation: RemoteLanguage: EnglishWorking Days: Monday through FridayWorking Hours: Eastern Standard Time (EST): 8:30 AM &ndash; 5:30 PMAbout the Role:We are seeking a highly analytical, technically fluent Analytics Manager to bridge raw data, technical tracking expertise, and smart business decisions. This role is ideal for a data-driven problem solver who understands ecommerce metrics at a granular level&mdash;from acquisition through retention, subscription lifecycle, and LTV&mdash;and can confidently audit, validate, and optimize our tracking ecosystem. You will ensure data integrity, interpret business impact, and deliver actionable insights that drive growth and efficiency.Key Responsibilities:Business &amp; Funnel Performance AnalysisConduct full-funnel analysis across acquisition, conversion, retention, and subscription lifecycleMonitor ecommerce KPIs (CAC, MER, ROAS, AOV, CVR, LTV, churn, renewal rate, MRR, contribution margin)Diagnose revenue shifts, conversion changes, and customer behavior trendsProvide actionable recommendations to improve profitability and store healthEcommerce Platform &amp; Store Health IntelligenceBuild and maintain dashboards, reports, and executive summariesIdentify revenue leaks, attribution gaps, and funnel inefficienciesReconcile performance across Shopify, GA4, and attribution tools (Triple Whale)Subscription &amp; Retention AnalyticsAnalyze subscription lifecycle metrics using platforms like RechargeSupport optimization of subscription flows and retention strategiesIntegrate subscription data with overall ecommerce performanceEmail &amp; Lifecycle Performance (Klaviyo)Analyze campaign and flow performanceEvaluate segmentation, automation, and attribution accuracyEnsure data consistency between Shopify, Klaviyo, and tracking platformsGA4, Attribution &amp; Advanced Tracking AnalysisLeverage expert-level GA4 knowledge for ecommerce tracking and attributionIdentify discrepancies between Shopify, GA4, and ad platformsBuild custom reports and explorations to uncover insightsTechnical Tracking &amp; Tag ManagementManage and optimize Google Tag Manager implementationsConfigure and validate pixels and event tracking (GA4, Meta, TikTok, Google Ads)Audit event architecture, data layers, and ecommerce schemasTechnical Tracking Audit (Critical Requirement)Conduct comprehensive audits of Shopify tracking infrastructureValidate event firing, parameter accuracy, and attribution flowsIdentify gaps, duplication, or inflated numbersDocument findings, deliver remediation plans, and implement fixesExperimentation &amp; ForecastingDesign and analyze experiments to inform strategic decisionsBuild predictive models and scenario analyses for growth planningCross-Functional CollaborationPartner with Marketing, Product, Finance, and Operations teamsTrain non-technical colleagues on dashboards, metrics, and best practicesQualifications:3+ years of experience in ecommerce analytics (Shopify preferred)Deep understanding of ecommerce financial metrics and driversHands-on expertise with Shopify, GA4, GTM, web pixels, Recharge, Klaviyo, and attribution toolsStrong SQL skills preferredProven experience conducting technical tracking auditsHighly detail-oriented with strong problem-solving skillsWhat Success Looks Like:Leadership has complete confidence in the accuracy of store dataTracking systems and attribution platforms are properly configured and validatedBusiness decisions are driven by clean, reliable analyticsRevenue growth opportunities are proactively identifiedSubscription and retention performance is continuously optimizedWho You Are:You are both analytical and technical. You understand numbers deeply and can read the health of a business by looking at its full ecommerce data ecosystem. You are as comfortable debugging a broken pixel as you are presenting performance insights to leadership. You don&rsquo;t just report data&mdash;you ensure its integrity, interpret its meaning, and use it to drive strategic growth.Job Type: Full-time

Analytics Manager

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