Senior Data Analyst- jobs at Citizens Financial Group - 40 jobs

JobID: 210704130 JobSchedule: Full time JobShift: : Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor's Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports. As an Senior Associate Data Scientist within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit. Job Responsibilities: * Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps * Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints * Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams * Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget * Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership Required Qualifications, capabilities, and skills : * 4-year Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics * Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets * Excellent structured and unstructured problem solving skills * Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences * Able to manage multiple concurrent projects in a fast-paced environment * Able to work independently and in a team environment Preferred Qualifications, capabilities, and skills : * MBA or Master's Degree with a quantitative focus * Familiarity with design of experiment methods * Work experience in the financial sector or other business environment

JobID: 210692669 JobSchedule: Full time JobShift: : Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities * Understand and translate business needs into data models supporting long-term solutions * Convert data into actionable insights * Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues * Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills * 3+ years' experience working in an analytical role * BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline * Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions * Strong storytelling capabilities * Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills * Master's Degree * Functional industry experience in finance, operations, sales, marketing, or credit/risk * Knowledge of the mortgage industry

JobID: 210680498 JobSchedule: Full time JobShift: Day : Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities * Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. * Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. * Translate complex data into clear, actionable insights that inform strategic decisions. * Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. * Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. * Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. * Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. * Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills * Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. * Strong background in Python and SQL. * Proficient in Microsoft Office suite of products. * Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. * Ability to synthesize diverse information and develop actionable recommendation. * Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. * Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills * MS degree preferred

JobID: 210688363 JobSchedule: Full time JobShift: Day : Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product. Job Responsibilities: * Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications. * Build and maintain APIs to enable seamless integration of AIML models with business applications. * Use your programming skills in Python and design integrated solutions using the latest technology. * Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions. * Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management. * Build and iterate on prototype solutions. * Develop robust, production-ready code for AIML models and analytical applications. * Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. * Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions. Required qualifications, capabilities and skills: * Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). * Strong Proficiency in Python. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * Proficiency with data table operations (SQL, etc.). * Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. * Demonstrated knowledge of data architecture that is ideal for generative AI solutions. * Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking “why” and “what if,” and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. Translate complex data into clear, actionable insights that inform strategic decisions. Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. Strong background in Python and SQL. Proficient in Microsoft Office suite of products. Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. Ability to synthesize diverse information and develop actionable recommendation. Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills MS degree preferred

Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor's Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports. As an Senior Associate Data Scientist within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit. Job Responsibilities: Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership Required Qualifications, capabilities, and skills : 4-year Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets Excellent structured and unstructured problem solving skills Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences Able to manage multiple concurrent projects in a fast-paced environment Able to work independently and in a team environment Preferred Qualifications, capabilities, and skills : MBA or Master's Degree with a quantitative focus Familiarity with design of experiment methods Work experience in the financial sector or other business environment

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. **Job Responsibilities** + Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. + Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. + Translate complex data into clear, actionable insights that inform strategic decisions. + Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. + Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. + Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. + Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. + Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. **Required qualifications, capabilities, and skills** + Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. + Strong background in Python and SQL. + Proficient in Microsoft Office suite of products. + Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. + Ability to synthesize diverse information and develop actionable recommendation. + Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. + Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. **Preferred qualifications, capabilities, and skills** + MS degree preferred Chase is a leading financial services firm, helping nearly half of America'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' and employees' 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

Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor's Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports. As an Senior Associate Data Scientist within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit. Job Responsibilities: + Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps + Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints + Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams + Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget + Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership Required Qualifications, capabilities, and skills : + 4-year Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics + Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets + Excellent structured and unstructured problem solving skills + Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences + Able to manage multiple concurrent projects in a fast-paced environment + Able to work independently and in a team environment Preferred Qualifications, capabilities, and skills : + MBA or Master's Degree with a quantitative focus + Familiarity with design of experiment methods + Work experience in the financial sector or other business environment Chase is a leading financial services firm, helping nearly half of America'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' and employees' 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

JobID: 210688973 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $152,000.00-$215,000.00 Join a diverse team of visionaries dedicated to making a lasting impact in the Card Technology industry. As a Lead Data Architect at JPMorgan Chase within the Card Technology Team, you will have the opportunity to design and implement high-quality data architecture solutions for a range of software applications and platform products. As part of this diverse team of innovators, you will play a crucial role in advancing the Card Technology industry. Job responsibilities * Drive data architecture decisions that impact product design, application functionality, and technical operations and processes. * Collaborate with cross-functional teams to understand data needs and translate them into actionable solutions. * Design and maintain data architecture frameworks that support business objectives and scalability. * Map data requirements to downstream systems, facilitating efficient data flow and utilization. * Develop and implement strategies for performing data completeness checks, ensuring data integrity and quality. * Evaluate new and current technologies using existing data architecture standards and frameworks. * Serve as a function-wide subject matter expert in one or more areas of focus * Drives data architecture decisions that impact product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years applied experience * Hands on experience with data modeling, database design, and data warehousing concepts * Develop, optimize, and maintain conceptual, logical, and physical data models to support migration requirements and ensure data integrity * Establish and enforce data quality standards, perform data profiling, and collaborate with stakeholders to resolve data inconsistencies or issues * Create and maintain comprehensive documentation for data models, mapping specifications, and migration processes, ensuring compliance with data governance and regulatory standards. * Ability to tackle design and functionality problems independently with little to no oversight * Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. * Hands-on practical experience delivering system design, application development, testing, and operational stability * Strong communication and collaboration skills to work effectively with cross-functional teams Preferred qualifications, capabilities, and skills * Develop secure, high-quality production codes and reviews and debugs code written by others * API's, Micro Services frameworks, Data Platforms, Data Streaming, and Stream Processing techniques using Kafka, Flink, Apache Iceberg. * AWS certification including Database Storage, Analytics, Machine Learning, and Application Integration Services * Experience with Snowflake and Databricks is a plus

Are you passionate about using data to accelerate product development, drive business growth, and improve the Financial Analytics experience? Then this is the right fit for you. As a successful Data Owner Lead in Community & Consumer Banking Finance team, you will be important to the firm's agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality and well-protected. In this role you will be responsible for all data that is created, provisioned, or consumed in one or more business applications, and which may support business objectives, advanced analytics, business operations, and reporting functions. You will serve as subject matter experts to help define and classify data critical to their business area. You will also collaborate with technology and business partners to ensure that required data is delivered in a manner consistent with the quality and safety requirements of the business. In support of these functions, you will be responsible for executing processes and procedures that identify, monitor, and mitigate data risks throughout the data life cycle in compliance with Firmwide policies and standards. Job Responsibilities : Create plans on how to develop and deliver data for their business area to support business operations, strategic objectives, and advanced analytics Work with key partners across products, processes, and analytics functions to Identify, define and classify the scope of data critical to their business area. Serve as a subject matter expert with multiple stakeholders to drive a strong understanding of the data and its use in their business area and across lines of business and functions. Document requirements for the content and quality of data for their business area, and coordinate with technology and business partners to deliver requirements Develop processes and procedures in the product management lifecycle. Identify, monitor, and mitigate data risks across the data lifecycle in their business area, include risks related to data protection, retention and destruction, storage, use, and quality Partner with technology and business resources to resolve identified data issues in a timely and consistent manner Manage direct or matrixed staff to execute data-related tasks Required Qualifications, capabilities, and skills : Bachelor's degree with 7+ years of related experience Expertise in data technologies such as data warehousing, data management & governance, data integration, big data, business intelligence and machine learning Understanding of business products, processes, and associated data. Experience with risk and control requirements Excellent interpersonal & communication skills Good business acumen and strategic thinking Knowledge of ETL principles or data structures Understanding and practical experience in big data engineering, analytics, machine learning or Public Cloud related technologies & their applications Knowledge of query or analytical programming languages; Use of bitbucket and data management pipelines; use agile delivery tools i.e. JIRA Knowledge of Databricks Preferred Qualifications, capabilities, and skills : Master's degree preferred Analytical thinking and problem-solving skills Knowledge of cloud based technologies Product lifecycle experience / area product management experience Relocation is not offered/supported for this role

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 & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer Community Banking. 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 a Data Domain Architect Senior Associate in the Consumer Community Banking Finance Data & Insights Team, you will assist in the development, testing and on-going maintenance of finance data products for the Business Banking line of business. You will focus on understanding data requirements, developing proof of concept data against requirements, comparing data sources, testing solutions, as well as preparing ad hoc analysis for our CFO (Chief Finance Officers) stakeholders. The type of data covered is everything from BB (Business Banking) Field scorecard data (how we measure all business banking field personnel performance) to lending data (e.g. originations and funded loans) to Deposits (new and lost accounts, associated cash management services, revenue earned), etc. Job responsibilities Work closely with the business stakeholders/analysts to understand reporting requirements and functional needs. Translate business requirements into prototype solutions for new/enhancement requests, Provide a high level of responsiveness to ad-hoc requests. Ability to understand broad business questions and determine the data that will help answer/give insights to the business question, perform “what-if” scenario data analytics, and regulatory inquiries. Work closely with end-users/data product owners during the UAT phase of the project and perform testing to ensure new functionality meets end user requirements. Validate that production results comply with business requirements and expected results. Work with end users and the Business Intelligence team to develop and implement standard reporting solutions in support of Business Banking Finance. Support BAU operating model for Business Banking Field scorecard requests including loading of user data and investigation of banker questions. Required qualifications, capabilities, and skills 5+ years of total experience within MIS, Business Intelligence, and/or Analytics roles Must be proficient in SQL query writing. Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or Databricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R. Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc. Must be proficient in one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding. Self-starter, team player, good communication skills, be proactive in asking help when needed Ability to take cues/guidance and solve problems independently Strong attention to detail with ability to understand and communicate bigger picture Preferred qualifications, capabilities, and skills Databricks or AWS Cloud Experience Experience with Agile development framework Knowledge of Business Banking, Deposit Products, and or Cash Management products.

JobID: 210683194 JobSchedule: Full time JobShift: Day : Join our dynamic team to revolutionize how technology intersects with business. As a Solutions Analyst III at JPMorgan Chase within the Enterprise Technology in Employee Compute, you will leverage your analytical expertise and technical fluency to drive innovation and enable strategic product development. You will collaborate with product owners, business stakeholders, and technology teams to elicit and document requirements, translate them into actionable solutions, and support rapid experimentation. Your adaptability and problem-solving skills will help navigate complex projects and manage dependencies, while your strong communication abilities will foster alignment and effective collaboration across diverse teams.. Job Responsibilities * Collaborate with internal business stakeholders, product teams and technology to understand internal roadmaps and key problems/opportunities; translate into innovative and strategic solution concepts that can be evaluated for viability and inform long-term product strategy. * Collaborate across cross-functional teams to develop and document business and technology requirements, ensuring alignment with product owners, technical teams and stakeholders. * Support evaluation of internal build vs. external buy of a solution, including engaging with third-party technology providers to understand their offerings and assessing applicability. * Manage dependencies and navigate ambiguity in complex projects supporting rapid experimentation and solution validation through discovery, assessments and prototypes. * Ensure all solutions adhere to firm wide governance, compliance, and security requirements, working closely with functional partners (Technology, Risk, Controls, Legal, Compliance, Third-Party Oversight, Sourcing, etc.) for internal and/or external solutions when needed. * Bridge the gap between product owners and software engineers by leveraging your technical fluency and strong analytical reasoning skills in support of strategic and tactical planning. * Foster clear, concise communication and collaboration across diverse stakeholder groups to drive alignment and successful outcomes. * Facilitate innovation forums, events and information sharing sessions showcasing emerging technologies to drive innovation across our organization. * Continuously enhance technical knowledge and stay current with industry trends, ensuring the application of emerging and innovative solutions to address evolving business needs. Required Qualifications, Capabilities, and Skills * Formal training or certification on business analysis concepts and 3+ years applied experience. * Experience in technical program delivery, product management, solutions analysis, or related field. * Strong technical writing and documentation skills for diverse stakeholder audiences, from engineers to executives. * Experience supporting innovation frameworks, including rapid assessments, prototyping, and proof-of-concept initiatives. * Ability to work collaboratively in cross-functional teams and drive alignment across business, product and technology groups. * Strong problem-solving and quantitative analysis skills. * Excellent verbal and written communication skills. * Familiarity with Agile methodologies and product-oriented organizations. Preferred qualifications, capabilities, and skills * Strategic mindset with ability to envision ways to use technology to solve business problems, translate them into quantifiable costs and benefits, and critical thinking skills to drive sound decision making and recommendations. * Track record demonstrating a high level of personal initiative, setting and achieving challenging goals, and demonstrating entrepreneurial leadership. * Technical program delivery, innovation, program/project management, product management or solutions analysis. * Understanding of agile product management and software development, with experience in translating business and technical requirements into JIRA stories for agile teams. * Proven ability to build strong stakeholder relationships and work with high-performing teams in complex environments. * Ability to create compelling presentations that summarize product attributes, strategy, technologies, etc.

Join our dynamic team to revolutionize how technology intersects with business. As a Solutions Analyst III at JPMorgan Chase within the Enterprise Technology in Employee Compute, you will leverage your analytical expertise and technical fluency to drive innovation and enable strategic product development. You will collaborate with product owners, business stakeholders, and technology teams to elicit and document requirements, translate them into actionable solutions, and support rapid experimentation. Your adaptability and problem-solving skills will help navigate complex projects and manage dependencies, while your strong communication abilities will foster alignment and effective collaboration across diverse teams.. Job Responsibilities Collaborate with internal business stakeholders, product teams and technology to understand internal roadmaps and key problems/opportunities; translate into innovative and strategic solution concepts that can be evaluated for viability and inform long-term product strategy. Collaborate across cross-functional teams to develop and document business and technology requirements, ensuring alignment with product owners, technical teams and stakeholders. Support evaluation of internal build vs. external buy of a solution, including engaging with third-party technology providers to understand their offerings and assessing applicability. Manage dependencies and navigate ambiguity in complex projects supporting rapid experimentation and solution validation through discovery, assessments and prototypes. Ensure all solutions adhere to firm wide governance, compliance, and security requirements, working closely with functional partners (Technology, Risk, Controls, Legal, Compliance, Third-Party Oversight, Sourcing, etc.) for internal and/or external solutions when needed. Bridge the gap between product owners and software engineers by leveraging your technical fluency and strong analytical reasoning skills in support of strategic and tactical planning. Foster clear, concise communication and collaboration across diverse stakeholder groups to drive alignment and successful outcomes. Facilitate innovation forums, events and information sharing sessions showcasing emerging technologies to drive innovation across our organization. Continuously enhance technical knowledge and stay current with industry trends, ensuring the application of emerging and innovative solutions to address evolving business needs. Required Qualifications, Capabilities, and Skills Formal training or certification on business analysis concepts and 3+ years applied experience. Experience in technical program delivery, product management, solutions analysis, or related field. Strong technical writing and documentation skills for diverse stakeholder audiences, from engineers to executives. Experience supporting innovation frameworks, including rapid assessments, prototyping, and proof-of-concept initiatives. Ability to work collaboratively in cross-functional teams and drive alignment across business, product and technology groups. Strong problem-solving and quantitative analysis skills. Excellent verbal and written communication skills. Familiarity with Agile methodologies and product-oriented organizations. Preferred qualifications, capabilities, and skills Strategic mindset with ability to envision ways to use technology to solve business problems, translate them into quantifiable costs and benefits, and critical thinking skills to drive sound decision making and recommendations. Track record demonstrating a high level of personal initiative, setting and achieving challenging goals, and demonstrating entrepreneurial leadership. Technical program delivery, innovation, program/project management, product management or solutions analysis. Understanding of agile product management and software development, with experience in translating business and technical requirements into JIRA stories for agile teams. Proven ability to build strong stakeholder relationships and work with high-performing teams in complex environments. Ability to create compelling presentations that summarize product attributes, strategy, technologies, etc.

Join our dynamic team to revolutionize how technology intersects with business. As a Solutions Analyst III at JPMorgan Chase within the Enterprise Technology in Employee Compute, you will leverage your analytical expertise and technical fluency to drive innovation and enable strategic product development. You will collaborate with product owners, business stakeholders, and technology teams to elicit and document requirements, translate them into actionable solutions, and support rapid experimentation. Your adaptability and problem-solving skills will help navigate complex projects and manage dependencies, while your strong communication abilities will foster alignment and effective collaboration across diverse teams.. **Job Responsibilities** + Collaborate with internal business stakeholders, product teams and technology to understand internal roadmaps and key problems/opportunities; translate into innovative and strategic solution concepts that can be evaluated for viability and inform long-term product strategy. + Collaborate across cross-functional teams to develop and document business and technology requirements, ensuring alignment with product owners, technical teams and stakeholders. + Support evaluation of internal build vs. external buy of a solution, including engaging with third-party technology providers to understand their offerings and assessing applicability. + Manage dependencies and navigate ambiguity in complex projects supporting rapid experimentation and solution validation through discovery, assessments and prototypes. + Ensure all solutions adhere to firm wide governance, compliance, and security requirements, working closely with functional partners (Technology, Risk, Controls, Legal, Compliance, Third-Party Oversight, Sourcing, etc.) for internal and/or external solutions when needed. + Bridge the gap between product owners and software engineers by leveraging your technical fluency and strong analytical reasoning skills in support of strategic and tactical planning. + Foster clear, concise communication and collaboration across diverse stakeholder groups to drive alignment and successful outcomes. + Facilitate innovation forums, events and information sharing sessions showcasing emerging technologies to drive innovation across our organization. + Continuously enhance technical knowledge and stay current with industry trends, ensuring the application of emerging and innovative solutions to address evolving business needs. **Required Qualifications, Capabilities, and Skills** + Formal training or certification on business analysis concepts and 3+ years applied experience. + Experience in technical program delivery, product management, solutions analysis, or related field. + Strong technical writing and documentation skills for diverse stakeholder audiences, from engineers to executives. + Experience supporting innovation frameworks, including rapid assessments, prototyping, and proof-of-concept initiatives. + Ability to work collaboratively in cross-functional teams and drive alignment across business, product and technology groups. + Strong problem-solving and quantitative analysis skills. + Excellent verbal and written communication skills. + Familiarity with Agile methodologies and product-oriented organizations. **Preferred qualifications, capabilities, and skills** + Strategic mindset with ability to envision ways to use technology to solve business problems, translate them into quantifiable costs and benefits, and critical thinking skills to drive sound decision making and recommendations. + Track record demonstrating a high level of personal initiative, setting and achieving challenging goals, and demonstrating entrepreneurial leadership. + Technical program delivery, innovation, program/project management, product management or solutions analysis. + Understanding of agile product management and software development, with experience in translating business and technical requirements into JIRA stories for agile teams. + Proven ability to build strong stakeholder relationships and work with high-performing teams in complex environments. + Ability to create compelling presentations that summarize product attributes, strategy, technologies, etc. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world'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. 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' and employees' 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 & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE JOB (JOB BRIEF) Under manager's supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring. ESSENTIAL JOB FUNCTIONS Under manager's oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC Research, compile and evaluate large sets of data to assess quality and determine suitability for model building Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance Document model development process and outcomes properly and support model validation and review Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners REQUIRED QUALIFICATIONS Master's or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions Hands-on work experience with statistical coding in SAS and/or Python Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing Knowledge of financial crime regulatory requirements, technology, and data analysis best practices Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 02/22/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_**********************. #LI-Hybrid

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Sr within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX. Our team delivers high quality solutions by effectively and thoughtfully utilizing the power of AI, facilitating collaboration between business and technical stakeholders to identify and prioritize opportunities. * We equip teams with the skills, tools and environments to manage increasing complexity, enabling their swift action on key business decisions. * We enable AI based automation and data-driven decision making to optimize business processes, enabling teams to focus attention on higher value tasks Key Responsibilities and Experience: * Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery * Machine learning model solution design, build, orchestration and implementation * Experience building solutions with model governance, risk management, and regulatory adherence at top of mind * Substantial experience implementing production AI/ML solutions. * Continuous support of models deployed to production applications * Release planning, coordination, and hands on support throughout release windows * Experience with production implementations that leverage generative AI and LLMs a plus PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. * Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. * Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. * Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Artificial Intelligence (AI), Competitive Advantages, Consultation, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Model Governance, Solution Building Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $165,370.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 07/01/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

The Data Architect will be responsible for designing, creating, and managing our organization's data architecture. This role will involve collaborating with various stakeholders to understand business requirements and translate them into efficient and scalable data solutions. The Data Architect will also play a key role in implementing data governance best practices and ensuring data quality and integrity across all systems. Responsibilities and Qualifications: Experience with defining strategy and approach for Architecture (preferably Data Architecture) function including but not limited to: scope\vision, roles and responsibilities, operational processes, and governance structure. Deep domain knowledge of Data Management concepts including but not limited to: Data Acquisition, Storage, Processing\Transformation, Modeling, Retention, and Protection. Hands-on practical experience designing and delivering enterprise-grade data solutions including both operational and analytic use cases spanning data pipelines with enterprise ETL (batch and real-time) and logical\physical data modeling. Experience with Cloud Computing notably for Operational Data Processing and Analytic Use Cases Strong communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders at all levels of the organization. Demonstrated ability to collaborate with business stakeholders, data analysts, and software developers to understand data requirements and translate them into technical specifications. History of providing guidance and support to development teams during the implementation of data-related projects, including database design, data migration, and performance optimization. Experience defining and implementing strategies and processes for effective Reference Data Management. Experience defining and implementing strategies and processes for Data Retention in operational and analytic data sets. Proven track record of aligning technical data strategy with overall business goals and objectives to ensure that data initiatives contribute to organizational success. Technical acumen to evaluate and select appropriate data management technologies and tools to support data architecture goals, such as data warehouses, data lakes, and ETL processes. Additional Requirements: Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred. Certification in data management or related field (e.g., Certified Data Management Professional) preferred. Familiarity with agile software development methodologies and DevOps practices. Strong project management skills and the ability to prioritize tasks in a fast-paced environment. Excellent analytical and problem-solving skills, with the ability to understand complex data requirements and design scalable solutions. Knowledge of data governance frameworks, data security best practices, and regulatory compliance standards (e.g., GDPR, HIPAA). Stay current with emerging trends and technologies in data management and recommend innovative solutions to enhance the organization's data architecture capabilities. Monitor and analyze data architecture performance metrics to identify areas for improvement and optimization. Strong understanding of enterprise architecture principles and practices Independent thinker and self-starter COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $112,000.00 - $210,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 02/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_**********************. #LI-Hybrid

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, Pittsburgh, PA, Strongsville, OH or Birmingham, AL. Skills * Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, etc.) * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms - Apache Ice-burg and AWS - S3 * Knowledge of Unix/Linux shell scripting Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications. * Analyzes business intelligence data and makes recommendations for data warehouse growth and integration an application/business function. * Works with IT and business customers to capture requirements for designing the data warehouse architecture. * Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework. * Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge Competencies Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $102,000.00 - $158,700.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/19/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description This role will primarily be focused on Microsoft's Power Platform. Power BI reporting development and Power App, drawing from an extensive enterprise client reporting dataset. Within the scope of Power BI development tasks, the candidate will be expected to: * assess and optimize existing Power BI reports performance ('back-end' tuning) * participate in discussions on upstream data structure and design * become familiar with the underlying business data, * build Power BI Dashboards from scratch, * use DAX language in creating complex custom measures and attributes, * participate in design and development discussions with the larger team, * validate reported data against the source tables and * research discrepancies * build power app flows * co-own platforms and environments The Power BI reports created will need to adhere to the standardized department data presentation methodology and aesthetic. This role will require individual development time (focused on supporting an assigned business line reporting needs), as well as connecting with the larger collaborative team of Financial Analysts, Power BI Developers and Data Engineers to align and further develop business knowledge and collectively address topics. Responsible for reporting projects that gather and integrate large volumes of data, performs in depth analysis, interprets results, and develops actionable insights and recommendations for use across the company for customer and employee populations. Acquires data from multiple data sources to perform analysis and reporting. Identifies, analyzes, and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. Collaborates with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards. Basic Qualifications * Bachelor's degree, or equivalent work experience * Three to five years of data analysis experience Preferred Skills/Experience * 2+ years of recent Power Platform development experience including Power Apps, Power BI and Power Automate * Experience in SQL or other BI tool for querying data and for data manipulation/transformation * Strong analytic skills with the ability to extract, collect, organize, analyze and interpret results for insights * Ability to data mine, analyze data, and present insights in a meaningful way * Strong decision-making and problem-solving skills * Strong organization and project management skills * Effective interpersonal, verbal and written communication skills The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): * Healthcare (medical, dental, vision) * Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy disability and parental leave * 401(k) and employer-funded retirement plan * Paid vacation (from two to five weeks depending on salary grade and tenure) * Up to 11 paid holiday opportunities * Adoption assistance * Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $75,820.00 - $89,200.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.