analytics senior manager

JPMorganChase

<div>JOB DESCRIPTION 
Are you a skilled data professional with a passion for transforming raw data into actionable insights and a proven track record of learning and implementing new technologies? The Finance Data &amp; Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer and Community Banking (CCB). Our vision is to enhance the lives of our people and increase the firm's value by leveraging data and advanced tools to analyze information, generate insights, save time, improve processes and controls, and lead the organization in developing future-ready skills.
As an Analytical Solutions Manager, you will lead the design, delivery, and adoption of analytical solutions that turn financial data from across multiple lines of businesses into actionable insights. Partner with senior leaders to prioritize high‑impact use cases, modernize data pipelines, and scale self‑service analytics. Own outcomes across solution strategy, development, controls, automation, and user enablement.
Job Responsibilities<ul><li>
Align with senior leaders and internal stakeholders to turn business goals into clear analytical solutions and roadmaps.</li><li>
Prioritize a backlog to maximize value, reduce cycle time, and improve decisions.</li><li>
Create and maintain reports, simple tools that help people make decisions, and data connections; produce analysis that can be reused.</li><li>
Build reliable data pipelines: clean, model, and optimize queries on large financial data.</li><li>
Automate manual work (ad hoc queries, quality checks, recurring reports) with tools like Alteryx and Python.</li><li>
Enforce strong controls: testing, lineage, reproducibility, and documented data/visual accuracy.</li><li>
Partner with Technology to operationalize solutions, strengthen controls, and transition support.</li><li>
Scale enablement with documentation, training, and short how-to videos to drive adoption.</li><li>
Measure adoption and user satisfaction, then iterate to reduce time to insight.</li></ul>
Required qualifications, capabilities, and skills :<ul><li>
Bachelor&rsquo;s degree in MIS, Computer Science, Mathematics, Engineering, Statistics, Finance, or related field.</li><li>
5+ years delivering analytical solutions in financial services; proven track record turning raw data into insights.</li><li>
Expert at business intelligence and data wrangling: Tableau (advanced), Alteryx/SAS/Python for pipelines and Quality Control (QC).</li><li>
Strong SQL across relational/big‑data systems; skilled at optimizing complex queries and large‑scale summaries.</li><li>
Experience in reporting development, testing, and objective analysis from imperfect/disparate data sources.</li><li>
Ability to align analytics with business context, uncover opportunities, and influence senior stakeholders.</li><li>
Excellent communication and storytelling skills across technical and non‑technical audiences.</li><li>
Demonstrated focus on controls, risk management, and flexibility to meet evolving control requirements.</li></ul>
Preferred qualifications, capabilities, and skills :<ul><li>
Prior experience in financial services required (banking, payments, or capital markets).</li><li>
Cloud data platforms: AWS, Databricks, Snowflake; big‑data query tools (Hive, SQL, Python).</li><li>
Search‑driven/self‑service analytics: ThoughtSpot or similar; familiarity with AI‑assisted insights.</li><li>
Experience with automation of ad‑hoc queries, Quality Control (QC) dashboards, and operational reporting.</li><li>
Product thinking: roadmap ownership, Objective and Key Results (OKRs), adoption metrics, and continuous improvement.</li><li>
Collaboration with Technology/Analytics/Finance to build scalable, governed analytics infrastructure.</li></ul>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Analytics Solutions Manager

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

Simpson Thacher & Bartlett LLP

<div>The Senior Manager, Data &amp; Generative AI leads Simpson Thacher &amp; Bartlett&rsquo;s enterprise Data Modernization strategy, advancing the firm&rsquo;s ability to leverage Artificial Intelligence to enrich data for analytics, reporting, and decision intelligence. This role is responsible for operationalizing modern data architecture, including the Medallion architecture implementation within the Databricks platform. The Senior Manager enables a cohesive Business Intelligence ecosystem that supports informed decision-making across legal, compliance, and business operations.
The role partners closely with IT, Security, Knowledge Management, Information Governance, and external stakeholders to ensure regulatory compliance and successful AI-driven solution delivery within a highly regulated legal environment. The Senior Manager, Data &amp; Generative AI is versed in the concept of Infrastructure as Code (IaC) to scale and deploy infrastructure across various environments. The Senior Manager works in &lsquo;lock step&rsquo; with the Associate Director, Orchestration &amp; Automation, to drive alignment on key decisions, timelines, and strategic priorities.
Essential Job Duties &amp; Responsibilities
<ul><li>Lead implementation of Medallion architecture (Bronze, Silver, Gold layers).
</li><li>Oversee lifecycle management of enterprise data platforms.
</li><li>Advance the firm&rsquo;s Data Modernization capabilities.
</li><li>Operationalize scalable data ingestion transformation, governance and reporting frameworks.
</li><li>Operations Management (including incident, problem, and change monitoring)
</li><li>Promote a culture of accountability and transparency with clear line of sight to goals
</li><li>Promote a culture of continuous improvement and service excellence
</li><li>Demonstrate ability to manage timeframes involving multiple functions
</li><li>Think critically and make quick decisions to address Firm challenges effectively
</li><li>Translate technical concepts for non-technical audiences
</li><li>Demonstrate flexibility and agility in adapting to changing needs and priorities
</li><li>Facilitate solutions for Microsoft tools like Azure OpenAI Service, Microsoft Purview, SharePoint Syntex, and Copilot into legal workflows
</li><li>Collaborate with IT to ensure robust architecture, data governance, and security for Azure-based AI solutions
</li><li>Ensure alignment between AI initiatives and enterprise cloud strategy, data privacy regulations, and legal risk frameworks.
</li></ul>Education
Required
<ul><li>Bachelor&rsquo;s degree in computer science, information technology, business or a related field or complimentary equivalent work experience
</li></ul>Preferred
<ul><li>Master&rsquo;s degree in computer science, information technology, business or a related field or complimentary equivalent work experience
</li></ul>Skills and Experience
Required
<ul><li>5-7 Years leading engineering teams, data teams, or development teams
</li><li>Experience implementing machine learning initiatives within legal, compliance, or highly regulated environments
</li><li>Understanding of Microsoft Azure services and Microsoft Purview
</li><li>Knowledge of data protection regulations (e.g., GDPR, HIPAA, SOC 2) and legal risk considerations.
</li><li>Experience implementing machine learning initiatives in regulated environments.
</li><li>Ability to work independently and manage multiple priorities
</li><li>Comfort with ambiguity; ability to work with incomplete data or seemingly open-ended questions and translate into actionable analysis
</li><li>Strong communication and collaboration skills (written and verbal)
</li><li>Demonstrate critical thinking skills
</li></ul>Salary Information
<div>NY Only: The estimated base salary range for this position is $200,000 to $250,000 at the time of posting.
</div><div><div><div><div>The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.
</div></div></div></div>Simpson Thacher will not sponsor applicants for work visas for this position.
Privacy Notice
For information about how Simpson Thacher &amp; Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice .
Simpson Thacher &amp; Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran&rsquo;s status or any other legally protected status. This Policy pertains to every aspect of an individual&rsquo;s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.
#LI-Hybrid</div>

Senior Manager, Data & Generative AI

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Role Purpose
The Senior Manager, Claims Analytics &amp; Decision Support serves as a strategic finance partner to Claims leadership, translating financial and operational data into clear, actionable insights that support loss cost management, operational efficiency, and profitable growth. This role sits at the intersection of Finance and Claims, with a primary focus on claims performance drivers, tradeoff analysis, and forward-looking decision support.
Key Responsibilities:
Claims Financial Leadership
Own financial analysis and decision support for the Auto Claims organization:<ul><li>
Loss cost, severity, and frequency trends</li><li>
Claims expense and operational cost dynamics</li><li>
Claim handling efficiency and productivity metrics</li></ul>
Partner closely with Claims leaders to:<ul><li>
Evaluate performance drivers and emerging trends</li><li>
Quantify tradeoffs between claim outcomes, cost, cycle time, and customer experience</li><li>
Support data-backed decisions related to staffing, process changes, and operational</li></ul>
Analytics &amp; Insight Generation
Develop and maintain claims-focused analytics, including:<ul><li>
Loss cost and expense outlooks</li><li>
Severity and frequency trend analysis</li><li>
Sensitivity analyses tied to claim mix, operational changes, or external cost pressures</li></ul>
Move beyond reporting to deliver insight-led storytelling that connects financial outcomes to claims operations and decision levers
Design and operationalize new analytical tools and models to support claims decision-making at scale
Identify opportunities to improve analytical frameworks, data usability, and insight timeliness across Claims
Senior Leader &amp; Stakeholder Partnership
Serve as a trusted thought partner to:<ul><li>
Claims senior leadership</li><li>
Claims operations and support teams</li><li>
Cross-functional partners (e.g., Product, Underwriting, Actuarial)</li></ul>
Support financial and business readouts by distilling complex analyses into clear, decision-ready narratives
Anticipate questions and proactively surface risks and opportunities related to claims performance
Process Improvement &amp; Capability Building
Enhance consistency and rigor across finance&rsquo;s claims analytics through:<ul><li>
Standardized metrics, templates, and decision frameworks</li><li>
Improved documentation and repeatability of analyses</li></ul>
Contribute to the evolution of FP&amp;A toward a high-impact advisory, forward-looking model
Collaborate with peers to share best practices and elevate analytics maturity across the Auto CFO organization
People Leadership &amp; Development
Lead, mentor, and develop team members supporting claims analytics
Set clear expectations around analytical quality, business partnership, and ownership
Build bench strength by coaching team members toward broader understanding of the business, economics, and trade-offs between decisions
Location: This position is a hybrid role. It is required to be on-site 3 days per week, at one of the following office locations:<ul><li>
Chicago, IL</li><li>
Bethesda, MD</li></ul> 
Annual Salary
$130,175.00 - $212,175.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Manager, Claims Analytics & Decision Support (Auto)

The Home Depot

<div>
 Req172924
 
 
 
 Position Purpose
 
 
 
 The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions
 </li>
 <li>
 25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python
 </li>
 <li>
 5% Data cleansing, validation, testing
 </li>
 <li>
 5% Enhancements / modifications to systems &amp; procedures
 </li>
 <li>
 5% Supporting end users, problem solving, troubleshooting
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 Reports to a Director.
 </li>
 <li>
 This position has 1 direct reports.
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Analytics, Finance, or Information Systems or related field is preferred
 </li>
 <li>
 Eight or more years of experience in analytics is preferred
 </li>
 <li>
 Experience in SQL, SAS, Tableau, R, python and similar tools preferred
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 6
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 No additional years of experience
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 None
 </li>
 </ul>
</div>

Senior Manager Decision Analytics

<div>Position Purpose:
The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</li><li>
This position has 1 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

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10000 analytics senior manager jobs Near Me

Analytics Solutions Manager

OCI Analytics Cloud Engineer

Senior Manager, Data & Generative AI

Senior Manager, Claims Analytics & Decision Support (Auto)

Senior Manager, Claims Analytics & Decision Support (Auto)

Senior Manager Decision Analytics

Senior Manager Decision Analytics