advanced analytics associate

JPMorganChase

<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

<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

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 
As an Associate on the Product Analytics team, you will deliver actionable insights to product owners and senior leadership that inform prioritization, optimize user journeys, and enhance client experience. You will synthesize product usage data and client feedback into clear narratives, scenario analyses, and forecasts that quantify the expected impact of product changes on user behavior and client outcomes. Your work will enable teams to make confident, data‑driven decisions and measure results against defined objectives.
The Product Analytics team ensures data is translated into insights that guide product strategy and execution. The team connects product telemetry and stakeholder feedback to business outcomes, embedding key data and observability into decision‑making. We deliver dashboards, analyses, and forward‑looking models that provide visibility into performance and anticipated client impact, supporting strategic alignment across product and business initiatives.
Job responsibilities<ul><li>
Partner with Product, Business, and Technology to define core product metrics and OKRs; align measurement plans to strategy and roadmap.</li><li>
Deliver actionable insights and recommendations to product owners and senior leadership to inform prioritization, optimize user journeys, and enhance client experience.</li><li>
Manage analytics intake, triage, and status updates; balance quick‑turn requests with strategic initiatives based on business needs.</li><li>
Build scenario analyses and forecasting models to quantify the expected impact of product changes on user behavior, client outcomes, and business performance.</li><li>
Translate complex data into clear narratives, dashboards, and executive‑ready summaries that drive decisions.</li><li>
Define event instrumentation and data capture requirements; optimize analytics and visualization tools to ensure data quality, reliability, and accessibility.</li><li>
Reconcile quantitative usage data with customer feedback and qualitative inputs; document processes and metric definitions to scale analytics across product teams.</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Bachelor&rsquo;s degree in Mathematics, Statistics, Computer Science, Economics, Finance, or equivalent experience.</li><li>
Experience in business intelligence, analytics, or data analysis within financial services, fintech, or related industries.</li><li>
Strong SQL, Python, and data modeling skills; ability to work with large, complex data sets and deliver actionable insights.</li><li>
Hands-on experience with cloud data platforms such as Snowflake or Databricks.</li><li>
Proficiency with Tableau and other data visualization tools.</li><li>
Experience with embedded analytics and integrating data from multiple sources and platforms.</li><li>
Strong communication and data storytelling skills; excellent problem-solving, attention to detail, and adaptability.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Analytics Solutions Sr Associate

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Data Scientist (Analytics)
 
 who can combine strong analytical thinking with hands-on data science and product-building skills. You&rsquo;ll own end-to-end problem-solving &mdash; from understanding business challenges, designing analytical frameworks, building scalable data products and models, and communicating insights that drive business action.
 
 
 This role is ideal for someone who enjoys working across analytics, data engineering, and machine learning &mdash; and who thrives in a fast-paced, collaborative environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 End-to-End Data Product Development: Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces.
 </li>
 <li>
 Advanced Analytics &amp; Modeling: Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems.
 </li>
 <li>
 AI &amp; Automation: Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation.
 </li>
 <li>
 Strategic Insights &amp; Storytelling: Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy.
 </li>
 <li>
 Cross-functional Collaboration: Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives.
 </li>
 <li>
 Planning &amp; Execution: Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
 
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in data science, analytics, or data product roles
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Hands-on experience with Tableau or other visualization tools
 </li>
 <li>
 Proven experience with machine learning, statistical modeling, and data-driven experimentation
 </li>
 <li>
 Strong background in handling large, complex datasets and building scalable data pipelines
 </li>
 <li>
 Exceptional problem-solving and analytical thinking skills &mdash; able to break down ambiguity into structured frameworks
 </li>
 <li>
 Excellent communication and storytelling skills &mdash; ability to influence senior stakeholders through clear and compelling narratives
 </li>
 <li>
 Strong project planning, prioritization, and execution capabilities
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/LLM-based analytics or automation solutions
 </li>
 <li>
 Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)
 </li>
 <li>
 Prior experience in e-commerce, marketplace, or retail analytics domains
 </li>
 <li>
 Exposure to data product management or working in cross-functional product teams
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Assc. Manager, Data Science Analytics

Proservartner

Data &amp; Analytics Associates (2 roles)About Proservartner Proservartner is a leading management consulting firm specialising in strategic advisory, market assessments, and transformation projects across FMCG, beverage, manufacturing, and financial sectors. We partner with clients to deliver actionable insights, investment-grade analyses, and implementation-ready strategies. We are currently staffing a 14&ndash;16 week consulting engagement in Saudi Arabia focused on the water-products market and are seeking experienced professionals with FMCG, beverage, and financial modelling expertise.Duration: 12 weeks Rate: USD 280&ndash;360/dayRole Overview: Data &amp; Analytics Associates will support market data collection, competitor tracking, and model inputs to inform strategic and financial decisions.Key Responsibilities:<ul><li>Build market databases and dashboards.</li></ul>Job Type: Full-timePay: From ﷼1,050.00 per dayExperience:<ul><li>FMCG Industry: 1 year (Preferred)</li></ul>

Data & Analytics Associates

NatWest Group

<div>Join us as a Data Management - Pulse - Data &amp; Analytics Analyst<ul><li>
This is an opportunity to take on a purpose-led role in a cutting edge Data &amp; Analytics team</li><li>
You&rsquo;ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose</li><li>
You&rsquo;ll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work</li><li>
We're offering this role at associate vice president level</li></ul><h2 class="jobSectionHeader">
What you'll do</h2>
As a Data Management - Pulse - Data &amp; Analytics Analyst t, you&rsquo;ll be driving the use of advanced analytics in your team to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You&rsquo;ll be working closely with business stakeholders to define detailed, often complex and ambiguous business problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.
As well as this, you&rsquo;ll be:<ul><li>
Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes</li><li>
Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges</li><li>
Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with</li><li>
Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics</li><li>
Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs</li></ul><h2 class="jobSectionHeader">
The skills you'll need</h2>
We&rsquo;re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with advanced analytics knowledge, you&rsquo;ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling.
You&rsquo;ll also demonstrate:<ul><li>
Experience building pipelines for a cloud data warehouse using ETL methods, such as PL/SQL and Python, Spark and Pyspark</li><li>
Data quality testing, cleansing, monitoring, warehousing, and modelling capabilities.</li><li>
A good understanding of modern code development practices, skills and experience in cloud technologies including AWS, Snowflake, SQL, and Apache Airflow</li><li>
Strong communication skills with the ability to proactively engage with a wide range of stakeholders</li><li>
Data visualisation skills using tools like QuickSight ,Tableau, Power BI</li></ul></div>

Data Management - Pulse - Data & Analytics Analyst, AVP

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