analytics associate

JPMorganChase

<div>
 
 Job Description
 
 
 
 Join us to shape the future of card rewards through impactful analytics and career growth opportunities.
 
 
 As a Quant Analytics Associate within the Card Data &amp; Analytics team, you translate customer data into insights that influence rewards and marketing strategies. You collaborate with diverse teams to deliver analytics projects that support business objectives and enhance customer experience.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Analyze customer performance, segmentation, and targeting to optimize rewards strategies
 </li>
 <li>
 Collaborate with product and finance teams to deliver analytical agendas
 </li>
 <li>
 Drive end-to-end analytics for campaign strategies, including performance measurement and ad hoc analysis
 </li>
 <li>
 Partner with marketing managers to optimize campaigns and develop new strategies
 </li>
 <li>
 Provide timely analytics for key trends by analyzing large datasets
 </li>
 <li>
 Synthesize data into actionable insights for business and marketing strategies
 </li>
 <li>
 Deliver practical data insights to senior leadership through presentations and visualizations
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative discipline such as business, data science, finance, economics, engineering, or mathematics
 </li>
 <li>
 Five years of experience in quantitative analytics for financial products
 </li>
 <li>
 Five years of experience querying big data platforms and analyzing data with visualization tools
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Proficient in creating analytical datasets using SQL, SAS, or Alteryx
 </li>
 <li>
 Skilled in generating analytical insights using Tableau or Excel
 </li>
 <li>
 Experience designing and coding automation frameworks
 </li>
 <li>
 Proficient in critical thinking and problem solving
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Financial services background with exposure to marketing or strategic analytics
 </li>
 <li>
 Ability to tell a story through data and generate insights for stakeholders
 </li>
 <li>
 Intellectually curious and eager to become a subject matter expert
 </li>
 <li>
 Strategic thinker focused on business goals and objectives
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 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.
 
 
 
 About The Team
 
 
 
 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.
 
 
 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>

Quant Analytics Associate -SQL, SAS, Alteryx

Information Technology Senior Management Forum

<div><div>Posted Date
2/23/2026
</div><div>Description
<div>Senior Data Analytics Associate - Card
Senior Data Analyst
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged by three types of work &ndash; Innovation, Business Intelligence and Data Management:
Innovation<ul><li>
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms</li><li>
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers</li><li>
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives</li></ul>
Business Intelligence<ul><li>
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Drive analysis that provides meaningful insights on business strategies</li></ul>
Data Management<ul><li>
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions</li><li>
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance</li><li>
Build and execute tools to monitor and report on data quality</li></ul>
Our ideal candidate will have:<ul><li>
Degree specialized in a Science, Technology, Engineering, Mathematics discipline</li><li>
Scripting experience in (Python, R, Spark, and SQL)</li><li>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within Snowflake services</li></ul>
Basic Qualifications<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 1 year of experience working with at least one scripting language</li><li>
 At least 1 year of experience utilizing business intelligence visualization tool</li><li>
 At least 1 year of experience querying, analyzing and working with data languages and platforms</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 2 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 2 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 1 year of experience utilizing and developing within AWS services</li><li>
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $111,200 - $126,900 for Sr. Data Analyst 

Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Data Analytics Associate - Card
Senior Data Analyst
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged by three types of work &ndash; Innovation, Business Intelligence and Data Management:
Innovation<ul><li>
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms</li><li>
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers</li><li>
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives</li></ul>
Business Intelligence<ul><li>
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Drive analysis that provides meaningful insights on business strategies</li></ul>
Data Management<ul><li>
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions</li><li>
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance</li><li>
Build and execute tools to monitor and report on data quality</li></ul>
Our ideal candidate will have:<ul><li>
Degree specialized in a Science, Technology, Engineering, Mathematics discipline</li><li>
Scripting experience in (Python, R, Spark, and SQL)</li><li>
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)</li><li>
Experience utilizing and developing within Snowflake services</li></ul>
Basic Qualifications<ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
 At least 1 year of experience working with at least one scripting language</li><li>
 At least 1 year of experience utilizing business intelligence visualization tool</li><li>
 At least 1 year of experience querying, analyzing and working with data languages and platforms</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 2 years of experience coding in Python, R, Spark, or SQL</li><li>
At least 2 years of experience working within process management and improvement methodologies &ndash; Agile, Lean, Six Sigma, etc.</li><li>
At least 1 year of experience utilizing and developing within AWS services</li><li>
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $111,200 - $126,900 for Sr. Data Analyst 

Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
111,200.00 - 126,900.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Data Analytics Associate - Card

<div>We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You&rsquo;ll find an environment that inspires and empowers you to thrive both personally and professionally. There&rsquo;s no one like you and that&rsquo;s why there&rsquo;s nowhere like RSM.
Data and Analytics Senior Associate
We are seeking a skilled Business Intelligence and Data Engineering professional with a strong background in design and development, data modeling, and business analytics. This individual will collaborate closely with our Data Analytics team to:<ul><li>
Create and maintain data models (dimensional and 3NF) aligned with business requirements.</li><li>
Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform, including defining source-to-target mappings, business rules, and any necessary data transformations.</li><li>
Develop Semantic Models and Reports / Dashboards based on business requirements.</li><li>
Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives.</li><li>
Collaborate effectively with clients and team members across regions.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, or Analytics.</li><li>
3+ years of experience designing data models across multiple subject areas and business domains.</li><li>
3+ years of experience in designing and developing business intelligence solutions.</li><li>
3+ years of designing and developing scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses</li><li>
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP</li><li>
Experience with data platforms like Fabric, Databricks and Snowflake</li><li>
Experience with DBT, Spark and BigData technologies</li><li>
Experience with GIT, DevOps, CI/CD and Version Control</li><li>
Proficient in BI visualization tools such as Power BI, Quick Sight or Tableau.</li><li>
Strong communication skills, both written and verbal.</li><li>
Excellent critical thinking and problem-solving abilities.</li><li>
Team-oriented with the ability to work independently and in virtual teams.</li><li>
Passion for solving complex business problems through data-driven solutions.</li></ul>
Preferred Qualifications:<ul><li>
Experience conducting solution / technical assessments.</li><li>
Knowledge of Databricks.</li><li>
Working knowledge of the modernized information management tool (e.g., Collibra, Informatica, Talend, Alation, Purview)</li></ul>
Work Environment:<ul><li>
Ability to work from our Bangalore or Hyderabad, India office at least twice a week.</li><li>
Willingness and ability to travel as needed.</li></ul>
At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life&rsquo;s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html.
RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.</div>

Data & Analytics, Senior Associate

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn&rsquo;t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
<ul><li>Respond effectively to the diverse perspectives, needs, and feelings of others.
</li><li>Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
</li><li>Use critical thinking to break down complex concepts.
</li><li>Understand the broader objectives of your project or role and how your work fits into the overall strategy.
</li><li>Develop a deeper understanding of the business context and how it is changing.
</li><li>Use reflection to develop self awareness, enhance strengths and address development areas.
</li><li>Interpret data to inform insights and recommendations.
</li><li>Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
Yes
Job Posting End Date</div>

ETIC, Data Processing & Analytics Senior Associate

<div>JOB DESCRIPTION 
The Corrections and Remediations Analytics - Center of Excellence (CoE) performs data analysis to identify customers impacted by process or operational breaks throughout the firm. This CoE supports Auto Finance, Business Banking, Consumer Banking, Credit Card and Wealth Management. Analysts benefit from unique exposure to various products and teams across J.P. Morgan Chase.
As a Quantitative Analytics Analyst Sr on the Remediation &amp; Corrections team, you will be crucial in identifying, classifying, and resolving customer impacts stemming from business process or operational disruptions at JP Morgan Chase. This role involves addressing affected customers by recalculating and crediting finance charges, fees, and processing account adjustments to rectify account issues. To succeed, you must be highly motivated, analytical, detail-oriented, and an outstanding problem solver who takes pride in managing customer issues comprehensively and delivering exceptional service.
Job responsibilities<ul><li>
Use SAS &amp; SQL skills to query databases and research to identify correction population, financials and create execution files using accounts, customer, and transaction level data.</li><li>
Ensure analytics steps are accurate through attention to detail and supporting the independent validation team with understanding case requirements and code.</li><li>
Leads and coordinates the efforts of others including the assignment of work. Direct and indirect management of other people.</li><li>
Synthesize data into actionable insights and effectively communicate to key stakeholders. Use SAS macros or another tool to automate analytics steps which are repetitive between cases.</li><li>
Continuously develop skills and upskill to languages like Python etc. and deepen data knowledge to support closure of projects, ensure correct data is being supplied to stakeholders, deliver analytical requirements per the &ldquo;requirements documents&rdquo; and provide best-in-class analytics.</li><li>
Collaborate with key stakeholders like Project Managers, Business Analysts etc. across the firm to understand the context of cases including the issue and then use analytic techniques to carry out requirements (which requires translating high-level requirements into steps) and drive Analytics and Insights.</li></ul> 
Required qualifications, capabilities and skills<ul><li>
8 plus years of related experience in SAS/ SQL and at least one of the following analytical tools: Python, R.</li><li>
Bachelor's or Master&rsquo;s degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
</li><li>Data Wrangling: Able to query data from multiple sources with considerations for null values or required manipulations/aggregation</li><li>
Data Mining: Identify insights and anomalies within data</li><li>
Logical reasoning &ndash; translating plain English requirements into codes and driving analytical insights out of it
</li><li>Experience working with at least one line of business within Chase Consumer and Community Banking. Banking Domain Knowledge is a must</li><li>
Strong communication skills (both written and verbal)</li><li>
Detail and quality oriented</li><li>
Proven ability and commitment to mentoring junior team members</li></ul>
Preferred qualifications, capabilities and skills<ul><li>
Proficiency with standard MS Office tools (Excel, Word, PowerPoint, etc.)</li><li>
Flexible individual who can easily and efficiently transition across topics and disciplines.</li><li>
Strong verbal and written communication skills with the ability to synthesize data and information into executive summaries, briefs and/or reports.</li><li>
Understanding of data infrastructure in a financial services organization will be a plus. JPMC Product or Database knowledge and experience preferred.</li><li>
Demonstrated ability to influence and partner collaboratively with business partners</li><li>
Demonstrated advanced troubleshooting and problem-solving skills with a customer service focus</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
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.</div> 
 
 
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>

Remediation & Corrections Analytics - Quantitative Analytics - Senior Associate

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 Overview:
 
 
 
 Within the Strategy &amp; Analytics team, Property Finder is looking for a strong Product Analytics Associate who will be primarily responsible for translating data into actionable insights, helping Product Management leadership of the company make informed decisions. You would work with an exceptional group of ex consultants from McKinsey, Bain, BCG and the Big 4.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 End-to-end ownership of workstreams to deliver data-driven business and product insights, across strategic initiatives
 </li>
 <li>
 Conduct complex and detailed analyses to identify areas for improvement, enhance efficiency, and help set targets for the teams
 </li>
 <li>
 Coordinate and work with different functions within the company
 </li>
 <li>
 Present findings periodically to leaders of the organisation
 
 
 </li>
 </ul>
 
 Desired Qualifications:
 
 
 
 Experience:
 
 
 <ul>
 <li>
 3+ years in Business Analytics within a reputable tech company or top-tier management consulting firm
 </li>
 <li>
 Exposure to Product, CRM, and Growth departments
 </li>
 <li>
 Collaboration skills to work effectively with different functions and drive insights into actions
 
 
 </li>
 </ul>
 Technical Proficiency:
 
 
 <ul>
 <li>
 Exceptional skills in SQL and Tableau
 </li>
 <li>
 Experience in product analytics, google analytics, including A/B Testing, Tracking, and Tag management
 
 
 </li>
 </ul>
 Communication Skills:
 
 
 <ul>
 <li>
 Proven ability to craft and deliver presentations for senior audiences with a compelling storyline
 </li>
 <li>
 Outstanding written and verbal communication skills, including presenting technical content effectively
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 Key Competencies and Characteristics:
 
 
 <ul>
 <li>
 Demonstrated success in understanding end-to-end analytics
 </li>
 <li>
 Consistent high performance and achievements throughout education and career
 </li>
 <li>
 Curious, proactive, practical, and solution-oriented with a "Get it done!" attitude
 </li>
 <li>
 Ability to work in a fast-paced environment
 </li>
 <li>
 Demonstrated extreme ownership
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
</div>

Associate, Product Analytics

<div>JOB DESCRIPTION 
Description 
The JPMorgan Chase SMB Payments Analytics team is dedicated to cultivating a data-driven culture and empowering fact-based decision-making. Our Business Analytics division champions this mission by delivering data and fostering the integration of analytics insights. We are seeking a Data Associate to elevate our analytics capabilities.
Job Summary: 
As a Data Associate within the Analytics Team, you will play a pivotal role in identifying key metrics and conducting comprehensive analyses to inform business strategies. You will work collaboratively with cross-functional teams, including Product, Sales, Marketing, Account Management, and Risk, to promote product upselling and cross-selling, enhancing both partner and merchant experiences. The ideal candidate will possess the ability to frame business challenges, design suitable analyses, and demonstrate fluency in SQL, Python, and other big data methodologies. You should excel at deriving insights and crafting narratives to support strategic initiatives.
Job Responsibilities:<ul>
<li>Partner with various departments to develop insights and analytic solutions tailored to client needs.</li>
<li>Perform in-depth analyses and construct statistical models to uncover trends and key drivers influencing product, sales, risk, and operational decisions.</li>
<li>Design and enhance data visualizations using existing tools or by developing new ones, while improving business dashboards.</li>
<li>Implement processes and develop tools to enhance data access, extraction, and analysis efficiency.</li>
<li>Cultivate and maintain relationships with internal teams to proactively identify and address business needs through analytics.</li></ul>
Required qualifications, capabilities and skills:<ul>
<li>4+ years of experience in quantitative data analysis
</li><li>B.S. or M.S. in a quantitative discipline, such as Statistics, Applied Mathematics, Engineering, or Computer Science, from a prestigious institution.</li>
<li>Proficiency in SQL and experience with statistical software or programming languages such as R or Python.</li>
<li>Experience with data visualization and BI tools like Looker or Tableau.</li>
<li>Exceptional attention to detail and organizational skills.</li>
<li>Ability to tackle ambiguously defined problems, devise creative solutions, and meet tight deadlines.</li>
<li>Excellent communication and presentation skills, with the ability to translate data into actionable insights.</li>
<li>A collaborative team player who thrives in working with teams across the company to achieve shared objectives.</li></ul>
Preferred qualifications, capabilities and skills:<ul>
<li>Data analysis preferably within the online payments industry.</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
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.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Payments - Analytics & Reporting- Data Scientist Associate

Search 10000+ Analytics associate jobs near you this March. New roles added regularly across leading industries. Apply today.