business analytics manager

Citi

<div>Citi Analytics &amp; Information Management (AIM) team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. The Anti Money Laundering (AML) Analytics Head (Senior Vice President) will be a part of AIM, based out of Bangalore and reporting into the Director / Managing Director in AIM.
Lead a team of Statisticians, Data Scientists and Business Analysts for the following teams (1) AML Data Science &amp; Model Management (DSMM), AML Independent Validation (IV) and AML Global Business Solutions (GBS). The AML Analytics head will follow global consistent methodology but is expected to have a high level of initiative, creativity and suggest enhancements to the current methodologies. The role requires working closely with business partners based in other geographies that Citi operates in (e.g., U.S., LATAM, APAC, EMEA).
Responsibilities:<ul><li>
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions</li><li>
Scope of work includes Segmentation &amp; Clustering Development and Review, AML Scenario Development and Enhancement, Threshold Tuning, Outlier Analysis, Initial Thresholds Setting, Case Risk Scoring, Model Development and Performance Review, Tactical Tuning tasks depending on current needs and project plans</li><li>
Oversight of Independent Validation for AML Scenarios, KPI processes (Threshold Settings, Segmentations, Random Client Analysis) within the agreed schedule and ensure execution follows global consistent standard, procedures and templates which incorporate, regulatory guidelines (OCC 2011-12), the Bank&rsquo;s Model Risk Management (MRM) Policy, framework and industry leading practices</li><li>
Innovate &amp; generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Escalate identified risks and sensitive areas in terms of methodology and processes</li><li>
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring</li><li>
Build effective teams to deliver on business priorities. Manage career progression for the team, Talent management, effective Performance Management as per goals and Leadership principles</li><li>
Thought Leadership</li><li>
Stakeholder Management</li><li>
Communication and Influence, communicate findings and recommendations to senior management. Stay current with the latest trends and technologies in analytics. Ensure compliance with policies and regulatory requirements</li><li>
Risk Management, appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards</li><li>
Human Centric Leadership, lead a team of analytics professionals and work with them to deliver on organizational priorities</li></ul>
Qualifications:<ul><li>
15+ years of experience in Financial Services / Analytics Industry</li><li>
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems</li><li>
Prior experience in AML analytics &ndash; AML Scenarios Development, Threshold Tuning, Segmentation, Clustering, Customer Risk Scoring, Model Development &amp; Validation, Random Client Analysis</li><li>
Prior experience in supporting Audits and Regulatory Reviews</li><li>
Strong understanding of Data &amp; Analytics ecosystem, establish a scalable analytics framework</li><li>
Proven ability to translate complex data into actionable insights. Ability to leverage data analytics tools &amp; techniques for analytics problem solving for organizational needs</li><li>
Experience in interacting with senior stakeholders across the organization</li><li>
Consistently sets high performance standards with right mentorship &amp; coaching interventions for team. Ownership &amp; accountability of career progression, performance management, IDP and conflict management. Retain talent, manage attrition, and career mobility</li><li>
Excellent verbal and written communication skills. Communicates seamlessly across team members / stakeholders / cross-functional teams.</li><li>
Strong capability to influence business outcomes / decisions in collaboration with AIM leadership &amp; business stakeholders. Demonstrate thought leadership in partner meetings while leading from the front to drive innovative solutions with excellent stakeholder management.</li><li>
Master&rsquo;s degree in STEM.</li></ul>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Decision Management
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Job Family:
Business Analysis
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Senior Vice President, Business Analytics Group Manager – AML

MPLOYIN FZ LLC

About the CompanyOur client is a rapidly growing analytics and consulting firm helping organizations make smarter, data-backed decisions. By blending advanced analytics with strategic consulting, they deliver tailored solutions across industries &mdash; including retail, HR, e-commerce, and supply chain &mdash; turning insights into measurable business growth.They are now seeking a Business Development Manager with experience in Analytics, Management Consulting, or Enterprise Solutions, to drive business expansion and client partnerships in the region.Role OverviewYou will be responsible for identifying business opportunities, managing key client relationships, and driving revenue through consultative sales. The ideal candidate is a strategic thinker who can bridge data, business value, and client needs to deliver impactful solutions.Key Responsibilities<ul><li>Drive new business opportunities in analytics and consulting services.</li><li>Build and maintain relationships with CXOs, HR Directors, and Strategy Heads.</li><li>Understand client challenges and design solution proposals with internal teams.</li><li>Manage the full sales cycle &mdash; from lead generation to negotiation and closure.</li><li>Represent the company at industry events and business forums.</li><li>Keep updated with analytics trends, tools, and technologies to engage clients effectively.</li></ul>Qualifications &amp; Experience<ul><li>Bachelor&rsquo;s degree required; MBA preferred.</li><li>5+ years of sales/BD experience in Analytics or Consulting.</li><li>Proven record in achieving and exceeding revenue goals.</li><li>Strong understanding of data analytics, business intelligence, or transformation solutions.</li><li>Exceptional communication, presentation, and negotiation skills.</li><li>Self-driven, organized, and comfortable working independently.</li></ul>Job Type: Full-time

Business Development Manager – Analytics/ Consulting Domain

ThinkMarkets

<div>ThinkMarkets is a global financial technology company, specializing in providing multi-asset trading solutions to thousands of clients around the world. With our flagship ThinkTrader platform, we make it available for our clients to trade the world 24-hours a day. Our mission is to bridge the gap between traders, investors, and platforms by allowing access to global markets and thousands of products thus providing our clients the ability to trade the world in the palm of their hand. We use the latest technologies to give traders seamless access to our proprietary trading platforms.

We are seeking a Marketing Analytics and Technology Manager to oversee the implementation and optimization of marketing technology solutions, data analysis, and revenue attribution. The role focuses on accurately measuring revenue generated from various marketing efforts and optimizing these channels for enhanced performance. The successful candidate will collaborate with marketing, finance, and product teams to gather actionable insights and develop strategies that enhance overall business outcomes.

Key Responsibilities:

Data Analysis and Insights:
<ul>
<li>Collect and analyze marketing data from various channels (paid media, social media, email, etc.) to evaluate campaign performance and customer behavior.</li>
<li>Provide insights on key metrics such as return on investment (ROI), customer acquisition costs, and lifetime value.</li>
</ul>
Revenue Tracking and Attribution:
<ul>
<li>Develop and maintain models for accurate revenue attribution across marketing touchpoints.</li>
<li>Ensure proper tracking of user journeys, conversions, and revenue through analytics platforms (e.g., Google Analytics, Mixpanel).</li>
</ul>
Analytics and Reporting:
<ul>
<li>Build and maintain dashboards to report on key performance indicators (KPIs), conversion rates, and ROI.</li>
<li>Prepare regular reports on marketing performance, revenue contributions, and actionable insights, and present them to senior management.</li>
</ul>
Data Layers and Technology Integration:
<ul>
<li>Develop and manage data layers for analytics tools like Google Tag Manager, ensuring data accuracy and consistency across platforms.</li>
<li>Configure and integrate marketing technology tools (e.g., CRM, email platforms, analytics systems) to ensure seamless data flow and accurate reporting.</li>
</ul>
Cross-functional Collaboration:
<ul>
<li>Collaborate with marketing, sales, IT, and finance teams to optimize marketing technology systems, improve tracking accuracy, and drive overall business performance.</li>
<li>Partner with finance teams to reconcile marketing expenses and revenue contributions.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's degree in marketing, Data Science, Computer Science, or a related field is required.</li>
<li>3 years of experience in data analysis, marketing technology, or revenue attribution would be ideal.</li>
<li>Expertise in marketing attribution models and analytics tools such as Google Analytics, Mixpanel, and Google Tag Manager.</li>
<li>Experience with marketing technology integrations (e.g., CRM, email, and analytics platforms) and data management.</li>
<li>Strong analytical and problem-solving skills, with the ability to deliver actionable insights and optimize marketing efforts.</li>
<li>Excellent communication skills, with the ability to present findings to senior management and work collaboratively with cross-functional teams.</li></ul></div>

Marketing Analytics & Attribution Manager – FinTech | Trading | Forex

Purplle.com

<div>
 Job Title: Assistant Manager &ndash; Business Analyst (S&amp;OP and Demand Planning) Location: Mumbai Key Responsibilities 1. Business Analytics &amp; Insights  Analyze sales, inventory, platform performance, and customer demand data to generate actionable business insights.  Identify trends, growth drivers, performance gaps, and improvement opportunities across categories and platforms.  Build structured analytical outputs that support decision-making for business, category, and supply teams.
 
 
 <ul>
 <li>
 Dashboarding, Reporting &amp;Automation  Design, build, and maintain automated dashboards (daily/weekly/monthly) covering key eCommerce KPIs: sales, sell-through, DOH, stock cover, allocation effectiveness, and platform metrics.  Own end-to-end reporting&mdash;data extraction, transformation, visualization, and stakeholder distribution.  Partner with BI/Tech teams to enhance data accuracy and automate manual recurring reports.
 </li>
 <li>
 Operations &amp; Stakeholder Analytics  Provide deep-dive analyses to category, supply chain, sourcing, and finance teams on performance drivers, stock risks, and platform dynamics.  Highlight risks and opportunities backed by data-driven recommendations.  Support leadership with ad-hoc analytics for strategic planning, performance reviews, and business initiatives.
 </li>
 <li>
 Demand Planning Support (Secondary Responsibility / Good to Have)  Assist in developing SKU-level demand forecasts using historical trends and marketplace inputs (nice-to-have skill).  Track forecast accuracy (MAPE/Bias) and provide analytical insights into deviations.  Support demand alignment with category and supply teams during campaigns or major events.
 </li>
 <li>
 Process &amp; Data Improvement  Improve data hygiene, enhance report structures, and standardize analytics across the eCommerce portfolio.  Identify recurring issues in data visibility or reporting and propose solutions/tools to improve efficiency. Key Requirements  Min. 2 years of experience in Business Analytics, Data Analysis, eCommerce Analytics, or Supply Chain Analytics.  Strong proficiency in Excel and dashboarding/visualization tools (Power BI/Tableau/Data Studio/Looker).  Hands-on exposure to SQL/Python  Understanding of eCommerce operations preferred.  Strong analytical thinking, problem-solving, and comfort working with large datasets.  Ability to work in fast-paced environments with cross-functional stakeholders.  Demand Planning knowledge is a plus, not mandatory.
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 Founded in 2011, Purplle has emerged as one of India&rsquo;s premier omnichannel beauty destinations, redefining the way millions shop for beauty. With 1,000+ brands, 60,000+ products, and over 7 million monthly active users, Purplle has built a powerhouse platform that seamlessly blends online and offline experiences.
 
 
 Expanding its footprint in 2022, Purplle introduced 6,000+ offline touchpoints and launched 100+ stores, strengthening its presence beyond digital. Beyond hosting third-party brands, Purplle has successfully scaled its own D2C powerhouses&mdash;FACES CANADA, Good Vibes, Carmesi, Purplle, and NY Bae&mdash;offering trend-driven, high-quality beauty essentials.
 
 
 What sets Purplle apart is its technology driven hyper-personalized shopping experience. By curating detailed user personas, enabling virtual makeup trials, and delivering tailored product recommendations based on personality, search intent, and purchase behavior, Purplle ensures a unique, customer-first approach.
 
 
 In 2022, Purplle achieved unicorn status, becoming India&rsquo;s 102nd unicorn, backed by an esteemed group of investors including ADIA, Kedaara, Premji Invest, Sequoia Capital India, JSW Ventures, Goldman Sachs, Verlinvest, Blume Ventures, and Paramark Ventures.
 
 
 With a 3,000+ strong team and an unstoppable vision, Purplle is set to lead the charge in India&rsquo;s booming beauty landscape, revolutionizing the way the nation experiences beauty.
</div>

Assistant Manager – Business Analyst (S&OP and Demand Planning)

American Express

<div>
 
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared
 
 
 
 values
 
 
 
 
 
 and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
 
 
 
 
 
 
 
 Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
 
 
 
 
 
 
 
 The Prospect Direct Mail Analytics team is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing, American Express. AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business. In this role, the incumbent will lead the Prospects Direct Mail Analytics team within AIM.&nbsp;
 
 
 
 
 
 
 
 The Manager will own the end-to-end analytics required for executing Commercial Prospects Direct Mail campaigns and would be responsible to profitably drive growth in commercial acquisition and charge volume through the Direct Mail channel. The Manager will be challenged with designing and creating world class prospect marketing analytics solutions by leveraging machine learning and advanced methodologies. The person will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through acquisitions. The ideal candidate can drive strategic decision making and execute new strategies via advanced analytics, disciplined test &amp; learn, and effective partnership. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Services business at American Express
 
 
 
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 
 
 <ul>
 <li>
 
 Drive profitable acquisitions in Direct Mail channel by meeting ROI / Acquisition / Revenue goals with optimization, experimentation and analytics driven insights.
 
 
 </li>
 <li>
 
 Define, Design, Create, and Implement data science &amp; analytical solutions required throughout the life cycle of a Direct Mail campaign starting from lead generation all the way to performance measurement.
 
 
 </li>
 <li>
 
 Collaborate with stakeholders within GCS Prospect marketing, Finance and investment optimization on various initiatives including setting goals for the channel / influencing data-driven strategy changes / introducing offer personalization etc.
 
 
 </li>
 <li>
 
 Researching and evaluating new commercial data sources working with external data vendors to improve data quality.
 
 
 </li>
 <li>
 
 Creating data segmentation &amp; optimization strategies for targeting profitable prospects with the right product/incentive in the Direct Mail channel Translate business problems into Machine Learning problems.
 
 
 </li>
 <li>
 
 Collaborate with Decision Science teams to quantitatively determine the value of ML models, and ensure key insights are leveraged to create the most suitable ML models to solve the business problems.
 
 
 </li>
 <li>
 
 Collaborate with ML and Tech teams to manage, guide and build analytical solutions to improve targeting efficiency in Direct Mail channel.
 
 
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Master&rsquo;s degree in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
 
 
 </li>
 <li>
 
 Demonstrated ability to lead cross-functional teams directly or indirectly to achieve key business outcomes.
 
 
 </li>
 <li>
 
 Strong programming skills are required. Experience with BIG DATA PROGRAMMING LANGUAGES (HIVE, SPARK), PYTHON. Expertise or ability to pick up strong SQL skills.
 
 
 </li>
 <li>
 
 Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results, such as A/B testing analysis.
 
 
 </li>
 <li>
 
 Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner.
 
 
 </li>
 <li>
 
 Demonstrated ability to work independently and across a matrix organization partnering with capabilities, marketing, decision sciences, risk teams and external vendors to deliver solutions at top speed.
 
 
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 PhD in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
 
 
 </li>
 <li>
 
 Strong knowledge of machine learning techniques, including XGBoost, Decision Trees and NLP models. Knowledge of commercial data experience is a plus.
 
 
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
 <ul>
 <li>
 
 Competitive base salaries&nbsp;
 
 </li>
 <li>
 
 Bonus incentives&nbsp;
 
 </li>
 <li>
 
 Support for financial-well-being and retirement&nbsp;
 
 </li>
 <li>
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)&nbsp;
 
 </li>
 <li>
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
 
 </li>
 <li>
 
 Generous paid parental leave policies (depending on your location)&nbsp;
 
 </li>
 <li>
 
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
 
 </li>
 <li>
 
 Free and confidential counseling support through our Healthy Minds program&nbsp;
 
 </li>
 <li>
 
 Career development and training opportunities
 
 
 </li>
 </ul>
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. &nbsp;
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
</div>

Manager-Data Analytics

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
The Prospect Direct Mail Analytics team is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing, American Express. AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business. In this role, the incumbent will lead the Prospects Direct Mail Analytics team within AIM.
The Manager will own the end-to-end analytics required for executing Commercial Prospects Direct Mail campaigns and would be responsible to profitably drive growth in commercial acquisition and charge volume through the Direct Mail channel. The Manager will be challenged with designing and creating world class prospect marketing analytics solutions by leveraging machine learning and advanced methodologies. The person will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through acquisitions. The ideal candidate can drive strategic decision making and execute new strategies via advanced analytics, disciplined test &amp; learn, and effective partnership. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Services business at American Express
How will you make an impact in this role?
<ul><li>Drive profitable acquisitions in Direct Mail channel by meeting ROI / Acquisition / Revenue goals with optimization, experimentation and analytics driven insights.
</li><li>Define, Design, Create, and Implement data science &amp; analytical solutions required throughout the life cycle of a Direct Mail campaign starting from lead generation all the way to performance measurement.
</li><li>Collaborate with stakeholders within GCS Prospect marketing, Finance and investment optimization on various initiatives including setting goals for the channel / influencing data-driven strategy changes / introducing offer personalization etc.
</li><li>Researching and evaluating new commercial data sources working with external data vendors to improve data quality.
</li><li>Creating data segmentation &amp; optimization strategies for targeting profitable prospects with the right product/incentive in the Direct Mail channel Translate business problems into Machine Learning problems.
</li><li>Collaborate with Decision Science teams to quantitatively determine the value of ML models, and ensure key insights are leveraged to create the most suitable ML models to solve the business problems.
</li><li>Collaborate with ML and Tech teams to manage, guide and build analytical solutions to improve targeting efficiency in Direct Mail channel.
</li></ul>Minimum Qualifications
<ul><li>Master&rsquo;s degree in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
</li><li>Demonstrated ability to lead cross-functional teams directly or indirectly to achieve key business outcomes.
</li><li>Strong programming skills are required. Experience with BIG DATA PROGRAMMING LANGUAGES (HIVE, SPARK), PYTHON. Expertise or ability to pick up strong SQL skills.
</li><li>Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results, such as A/B testing analysis.
</li><li>Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner.
</li><li>Demonstrated ability to work independently and across a matrix organization partnering with capabilities, marketing, decision sciences, risk teams and external vendors to deliver solutions at top speed.
</li></ul>Preferred Qualifications
<ul><li>PhD in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
</li>Strong knowledge of machine learning techniques, including XGBoost, Decision Trees and NLP models. Knowledge of commercial data experience is a plus. 
<li>
</li></ul>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>Support for financial-well-being and retirement
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>Generous paid parental leave policies (depending on your location)
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div>

JPMorganChase

<div>JOB DESCRIPTION 
Join us for an exciting opportunity to lead analytics and drive innovation within Chase Travel&rsquo;s Data &amp; Analytics team. 
As a Quant Analytics Manager within the Chase Travel Data &amp; Analytics team, you will collaborate with stakeholders to define measurable goals and develop strategies that elevate product performance and user experience. You will leverage advanced analytics to inform product development, optimize features, and guide investment decisions, contributing to the overall success of Chase Travel.
Job responsibilities<ul><li>
Develop and execute analytics strategy for Chase Travel product lines, ensuring alignment with business goals</li><li>
Partner with product, engineering, and business teams to define and monitor key performance indicators</li><li>
Analyze user behavior, conversion funnels, and product performance to identify growth opportunities</li><li>
Conduct deep-dive analyses and design, implement, and evaluate A/B tests to optimize product features</li><li>
Build and maintain dashboards and reports to communicate product performance to stakeholders</li><li>
Collaborate with cross-functional teams to inform product development and go-to-market strategies</li><li>
Ensure data integrity and consistency across analytics platforms, working with data engineering teams</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Bachelor&rsquo;s degree in statistics, economics, mathematics, or engineering with quantitative research and data analysis</li><li>
Five years of team management experience, including managing team members at different levels</li><li>
Twelve years of experience with strong SQL, Alteryx, and Tableau skills</li><li>
Critical and analytical thinking with strong attention to detail</li><li>
Capable of defining metrics, evaluating results, and drawing business insights</li><li>
Excellent written and verbal communication skills</li><li>
Able to multi-task and prioritize with strong organizational and problem-solving skills</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience presenting findings and recommendations to senior leadership</li><li>
Familiarity with industry trends and competitor benchmarking</li><li>
Exposure to data engineering and infrastructure improvement</li><li>
Experience with data-driven storytelling to support strategic growth initiatives</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>

Quant Analytics Manager - SQL, Tableau, Alteryx

Search 10000+ Business analytics manager jobs near you this November. New roles added regularly across leading industries. Apply today.

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Manager-Data Analytics

Quant Analytics Manager - SQL, Tableau, Alteryx