data analyst

business analyst

finance analyst

financial analyst

ai enablement analyst

business intelligence analyst

ADF Medical

<div>
 We're looking for a sharp, analytical
 
 Remote Data Analyst
 
 to help us turn data into actionable insights. If you love working with numbers, spotting trends, and making data meaningful &mdash; this role is for you.
 
 
 
 Role:
 
 Remote Data Analyst
 
 
 
 Department:
 
 Analytics &amp; Business Intelligence
 
 
 
 Location:
 
 Fully Remote
 
 
 
 Type:
 
 Full-Time / Part-Time
 
 
 
 Requirements
 
 
 
 Collect, clean, and analyze large sets of patient and operational data
 
 
 Build reports, dashboards, and visualizations for internal teams
 
 
 Identify trends, patterns, and insights to support business decisions
 
 
 Work closely with management to track KPIs and performance metrics
 
 
 Ensure data accuracy, integrity, and security at all times
 
 
 Present findings in a clear and understandable format to non-technical stakeholders
 
 
 
 Benefits
 
 
 
 Competitive pay
 
 
 Health, dental &amp; vision benefits (full-time employees)
 
 
 Paid time off &amp; paid holidays
 
 
 Flexible scheduling options
 
 
 Growth opportunities within ADF Medical Services
</div>

Data Analyst

Hearst Magazines

<div>
 
 Job Description
 
 
 
 
 
 Be Part of What&rsquo;s Next
 
 
 
 
 At Hearst Magazines, data powers the stories we tell, the audiences we grow, and the partnerships that fuel our business. As an
 
 Analyst, Business Intelligence
 
 , you&rsquo;ll turn complex datasets into clear, actionable insights&mdash;helping teams across Partnerships, Business Development, Product, and Editorial make smarter decisions and move faster.
 
 
 
 
 About Hearst Magazines (Why Us?)
 
 
 
 
 Hearst Magazines&rsquo; portfolio of more than 30 iconic brands in the U.S.&mdash;including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper&rsquo;s BAZAAR, and Popular Mechanics &mdash; inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world&mdash;and together, we are shaping what&rsquo;s next.
 
 
 
 Key Responsibilities (What You&rsquo;re Doing)
 
 
 
 <ul>
 <li>
 Partner with the Partnerships &amp; Business Development team to translate business questions into structured requirements, metrics, and reporting frameworks
 </li>
 <li>
 Extract and combine data from APIs (e.g., distribution partners, syndication platforms, commerce partners) to create unified performance views
 </li>
 <li>
 Analyze large audience, revenue, and content-level datasets to identify trends and deliver insights that inform partnership strategy and prioritization
 </li>
 <li>
 Conduct ad hoc exploratory analyses tied to partner performance, KPI variance, forecasting, and opportunity sizing
 </li>
 <li>
 Build and maintain dashboards, scorecards, and recurring reporting in DOMO, Looker Studio, or similar BI tools
 </li>
 <li>
 Define, document, and maintain KPIs that support partnership health, deal evaluation, and revenue tracking
 </li>
 <li>
 Present insights clearly and succinctly to non-technical stakeholders, including senior leaders across BI, Partnerships, BD, Product, and Editorial
 </li>
 <li>
 Monitor and help ensure the quality and consistency of data used in reports and dashboards, contributing to broader BI data governance efforts
 
 
 </li>
 </ul>
 
 
 Qualifications (What We&rsquo;re Looking For)
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field such as Statistics, Computer Science, or Data Science.
 </li>
 <li>
 2+ years of experience in a similar role, preferably in the media or publishing industry.
 </li>
 <li>
 Proficiency in Google Analytics or equivalent enterprise applications.
 </li>
 <li>
 Experience working with content, audience or digital partnership data a plus
 </li>
 <li>
 Familiarity with Python or R for automation, API integration, and data analysis
 </li>
 <li>
 Excellent analytical and problem-solving abilities, with a keen eye for detail.
 </li>
 <li>
 Experience working with large datasets and data visualization tools.
 </li>
 <li>
 Strong communication and collaboration skills, with the ability to work effectively in a team.
 </li>
 <li>
 Ability to prioritize tasks and manage multiple projects simultaneously.
 </li>
 <li>
 Familiarity with data warehousing and database management systems.
 </li>
 <li>
 Passion for data-driven decision-making and a desire to stay updated with industry advancements.
 </li>
 <li>
 Hybrid work environment in New York City (in-office requirements aligned to team expectations)
 
 
 </li>
 </ul>
 
 
 Benefits (What We Offer)
 
 
 
 
 <ul>
 <li>
 Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.
 </li>
 <li>
 Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.
 </li>
 <li>
 Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.
 </li>
 <li>
 Foster Connection &amp; Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.
 </li>
 <li>
 Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.
 </li>
 <li>
 Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.
 
 
 </li>
 </ul>
 The base salary for this role is between
 
 $88,000 - $106,000
 
 . The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.
 
 
 Hearst is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
</div>

Analyst, Business Intelligence

Roc Nation

<div>
 
 Job Summary
 
 
 
 Title: Data Analyst
 
 
 Reports to: Sr. Director, Data Science &amp; Analytics
 
 
 Location: New York, NY (On-Site, 5 days a week in office)
 
 
 
 The Role
 
 
 
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 
 
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
 </li>
 <li>
 Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
 </li>
 <li>
 Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
 </li>
 <li>
 Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
 </li>
 <li>
 Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
 </li>
 <li>
 Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
 </li>
 <li>
 A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
 </li>
 <li>
 Ability to clearly articulate insights to a non-technical audience
 </li>
 <li>
 Comfortable partnering with engineering to define business requirements for dataset and metric development
 </li>
 <li>
 Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
 </li>
 <li>
 Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
 
 
 </li>
 </ul>
 Bonus Points For
 
 
 <ul>
 <li>
 Experience with python, dbt, and analytics engineering concepts
 </li>
 <li>
 Direct music industry experience
 
 
 </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 
 
 
 Benefits &amp; Perks
 
 
 
 
 HEALTH
 
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 
 
 
 YOURSELF
 
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 
 
 
 CAREER
 
 : Career and skill development programs with School of Live
 
 
 
 WEALTH
 
 : 401(k) program with company match
 
 
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 
 
 
 The Expected Compensation For This Position Is
 
 
 
 $68,000.00 USD - $85,000.00 USD
 
 
 <ul>
 <li>
 Pay is based on a number of factors including market location, qualifications, skills, and experience.
 
 
 </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</div>

Payoneer

<div>
 
 About Payoneer
 
 
 
 Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world&rsquo;s underserved businesses to a rising global economy. We&rsquo;re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
 
 
 By taking the complexity out of the financial workflows&ndash;including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence&ndash;we give businesses the tools they need to work efficiently worldwide and grow with confidence.
 
 
 
 Location: NYC
 
 
 Hybrid
 
 
 Full-time
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Data Analyst
 
 to join our
 
 Operations
 
 team in the Americas region. The ideal candidate will have a background in analytics, proven experience in SQL, and is an expert at building dashboard solutions that provide our business leaders with the data and insights they need to help service our customers with excellence.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Provide accurate and user-friendly data models, insight, reports, and dashboards
 </li>
 <li>
 Analyze data, track operational performance, alert and analyze abnormal trends
 </li>
 <li>
 Work with different stakeholders in the company, such as Operations, BizDev, Product, Tech and Program Managers
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of working experience as a Data Analyst in tech/fintech companies
 </li>
 <li>
 3+ years of experience building dashboards with visualization platforms - Power BI, Tableau, Looker, etc.
 </li>
 <li>
 Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics or another quantitative field
 </li>
 <li>
 Highly experienced with SQL
 </li>
 <li>
 Experience working with Python, with focus on Pandas - advantage!
 </li>
 <li>
 Experience with data modelling, BI/ETL development. - advantage!
 </li>
 <li>
 Experience working in cloud environments (Google Cloud Platform, BigQuery) preferred
 </li>
 <li>
 Experience working with operational KPI Metrics
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Discounted medical, dental, and vision insurance (coverage starts on day one) HSA and FSA
 </li>
 <li>
 401K with employer match
 </li>
 <li>
 Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 Fitness/Wellness reimbursement
 </li>
 <li>
 Generous PTO, paid holidays, and parental leave
 </li>
 <li>
 Learning and development opportunities
 </li>
 <li>
 Flexible work from home schedule
 </li>
 <li>
 Volunteer activities
 </li>
 <li>
 Fun office culture with supportive leadership
 
 
 </li>
 </ul>
 
 In accordance with New York City Law, below is the annual base salary range for this position. Actual annual base salary is based on, but not limited to: experience, education, professional licenses, location and business needs. The position is eligible for health insurance, disability insurance, life insurance, 401k plan, paid-time off, and sick (and where applicable safe) leave.
 
 This position is also eligible for a discretionary year-end bonus.
 
 
 
 
 
 The annual base salary range for this position is: $85,000 - $100,000.
 
 
 
 
 The Payoneer Ways of Working
 
 
 
 
 Act as our customer&rsquo;s partner on the inside
 
 
 
 
 Learning what they need and creating what will help them go further.
 
 
 
 
 Do it. Own it.
 
 
 
 
 Being fearlessly accountable in everything we do.
 
 
 
 
 Continuously improve
 
 
 
 
 Always striving for a higher standard than our last.
 
 
 
 
 Build Each Other Up
 
 
 
 
 Helping each other grow, as professionals and people.
 
 
 
 If this sounds like a business, a community, and a mission you want to be part of, apply today.
 
 
 
 We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
 
 
 
</div>

Ops Data Analyst

JPMorganChase

<div>JOB DESCRIPTION 
Join the Business Intelligence team within the JPMorgan Private Bank and help shape strategy with advanced analytics and AI.
 
You will work on high-impact initiatives that improve sales productivity, business development, and decision-making through data-driven insights.
 
You will partner closely with business, sales, marketing, and technology teams to turn complex data into practical solutions.
 
If you enjoy combining rigorous modeling with real-world business outcomes, this role offers the opportunity to grow your impact and help modernize how insights are delivered.
As a Business Intelligence Data Scientist within the JPMorgan Private Bank Business Intelligence team, you will lead analytical initiatives that shape business strategy through data-driven insights.
 
You will design, build, and deploy predictive models and analytics solutions using internal and external data to create actionable recommendations. J
 
You will collaborate with leaders across business, sales, and marketing to embed analytics into day-to-day decision-making and continuous improvement.
 
You will help evolve reporting into proactive, personalized insights by prototyping and applying modern AI approaches, including machine learning and large language models.
Job responsibilities
<ul><li>Partner with business, sales, marketing, and technology teams to define requirements and deliver analytics solutions that drive measurable outcomes.
</li><li>Design, develop, and deploy machine learning and advanced analytics solutions for complex business problems.
</li><li>Apply statistical analysis, predictive modeling, and AI techniques to generate insights from large, complex datasets.
</li><li>Perform exploratory data analysis to identify trends, patterns, and opportunities for growth and productivity improvements. J</li><li>
Communicate insights and recommendations through clear narratives, visualizations, and presentations tailored to stakeholders.
</li><li>Prototype AI-enabled approaches, including large language models and automation, to deliver personalized, context-aware insights and recommendations.
</li><li>Identify, evaluate, and onboard internal and external datasets to support analytics and modeling initiatives.
</li><li>Assess data quality and reliability, and implement automated validation and monitoring to maintain data integrity.
</li><li>Collaborate with engineering partners to implement scalable data pipelines, model deployment workflows, and analytics infrastructure.
</li><li>Ensure governance, security, documentation, and lineage standards are met across data and model integration processes.
</li><li>Translate business needs into clear technical specifications and contribute production-quality code across the analytics lifecycle.</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Bachelor&rsquo;s degree in data science, computer science, statistics, mathematics, or a related technical field.
</li><li>3 years of experience in data science, machine learning, or advanced analytics roles.
</li><li>Advanced proficiency in Python for data analysis, modeling, and production-grade implementation.
</li><li>Advanced proficiency in SQL for data extraction, transformation, and analysis.
</li><li>Demonstrated ability to build, evaluate, and deploy predictive models and analytics solutions end-to-end.
</li><li>Strong statistical and analytical problem-solving skills with the ability to translate complex results into actionable recommendations.
</li><li>Experience designing, deploying, and operating production machine learning pipelines and services.
</li><li>Working knowledge of AI implementation in software development contexts, including modernization of legacy codebases.
</li><li>Ability to partner effectively across technical and non-technical teams to drive delivery and adoption.
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience supporting sales, marketing, or productivity analytics use cases in a financial services environment.
</li><li>Experience integrating external datasets and managing ongoing relationships with data providers or vendors.
</li><li>Familiarity with large language model applications, evaluation approaches, and responsible AI considerations.
</li><li>Experience with scalable data engineering patterns for analytics, including orchestration and automated monitoring.
</li><li>Strong storytelling skills, including the ability to influence stakeholders using clear visuals and executive-ready narratives.
</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>

Business Intelligence Data Scientist – Sr. Associate - JPMorgan Private Bank

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Rapid &amp; Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub-Same Day (SSD) Delivery business. The Delivery BI team partners closely with Delivery and operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning. 
 
The ideal candidate will draw upon advanced analytical and problem-solving skills, along with a passion for building solutions for automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders, and technical teams to enable data-driven decision-making. They must be a self-starter, show strong bias for action, be comfortable with ambiguity, and be able to think big and be creative to support a rapidly growing business. They will provide technical and business expertise in integrating data from various source systems and presenting it through an array of self-service applications. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. If you are excited about data, are results-oriented, and want to join a growing analytics team, this role is for you. 
 
Key job responsibilities 
The successful candidate is a seasoned data professional with a strong bias for action, data modeling, proficiency with data visualization tools, ETL, SQL, and scripting skills. In this role, you will help identify complex business problems, recognize opportunities, and implement solutions to improve operations and finance-facing systems, processes, and tools. The successful candidate will provide technical expertise in extracting, integrating, and analyzing critical data, clearly communicate any potential discrepancies and/or reporting downtime, including specific root causes and steps to resolution, and design and develop key performance metrics and indicators. The successful candidate will be a self-starter, quick learner, comfortable with ambiguity, results-oriented with strong attention to detail, insist on high standards, and adapt to a rapidly evolving environment. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, metrics, and dashboards to communicate these insights in real-time to business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions. 
 
A day in the life 
A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. 
<ul><li>Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points</li><li>Think creatively to identify opportunities to solve problems using technology-driven solutions</li><li>Design and implement optimal automation solutions to address stakeholder needs</li><li>Respond to ad hoc requests and provide support as needed</li><li>Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing</li></ul> 
About the team 
The Rapid and Rural Logistics team covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD). Our team needs to move fast and scale quickly with the growing businesses we support. We expect you to be able to identify one- vs two-way doors and make decisions on your own, requesting help when necessary. Strong bias for action is important. Technical skills must be balanced against people skills and business acumen so you can work with stakeholders to understand their needs and deliver the optimal BI solution.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field</li><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience writing complex SQL queries</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 109,500.00 - 185,000.00 USD annually 
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer, R2L Analytics

Dow Jones

<div>About the Team:
The team is the Global Business Operations (GBO) AI Enablement Team.
About the Role
The AI Enablement Business Analyst, Sr. sits within the Global Business Operations (GBO) AI Enablement Team and serves as the critical bridge between business units and the Technology Operations team. This is fundamentally an analyst and advisory role &mdash; you will not be building AI solutions directly, but you will be the person who ensures they get built right.
You will own the early lifecycle of every AI use case: from helping submitters articulate their ideas, through scoping and requirements definition, tool and feasibility assessment, and preparing a structured handoff package for the technology team.
This role is central to how the AI Enablement Team scales its impact. You are the quality gate, the process guide, and the solutioning thought partner &mdash; all before a single line of code is written. You will report to the Senior Manager, Data Analytics &amp; Automation, and will be based in our NYC office.
You Will:
<ul><li>Triage all AI use case submissions, conducting initial completeness reviews and engaging stakeholders to clarify ambiguous or incomplete requests.</li>
<li>Evaluate submissions for problem clarity, data availability, organizational readiness, and estimated business value to ensure high-potential projects are prioritized.</li>
<li>Lead stakeholder sessions to define project scope, constraints, and success criteria, resulting in a formal Business Requirements Document (BRD).</li>
<li>Develop current-state and future-state workflow diagrams and process maps to identify dependencies, integration points, and technical risks.</li>
<li>Establish measurable benchmarks for every use case, specifically targeting time savings, cost reduction, and qualitative quality improvements.</li>
<li>Audit existing organizational platforms to determine if a use case can be solved with current tools before proposing new investments.</li>
<li>Prepare comprehensive documentation packages for Technology Operations and act as the primary bridge between business needs and technical constraints throughout the delivery lifecycle.</li>
<li>Collaborate on User Acceptance Testing (UAT) criteria to ensure delivered AI solutions meet the original business requirements and success metrics.</li>
<li>Prepare case summaries and feasibility scores for the Monthly Review Committee, incorporating their feedback into project roadmaps.</li>
<li>Maintain the use case pipeline tracker and log realized benefits (ROI) to surface insights for Executive Leadership Team (ELT) presentations.</li>
</ul>You Have:
<ul><li>3+ years of experience as a Business Analyst, Process Analyst, Product Analyst, or equivalent role in a technology-adjacent environment.</li>
<li>Demonstrated experience writing business requirements documents, process maps, user stories, or functional specifications.</li>
<li>Experience working in cross-functional teams that include both business and technology stakeholders.</li>
<li>Hands-on experience with project tracking tools such as Jira and comfort working within established SDLC or agile delivery frameworks.</li>
<li>Experience with at least one AI or automation platform in a professional setting.</li>
</ul>Our Benefits
<ul><li>Comprehensive Healthcare Plans</li>
<li>Paid Time Off</li>
<li>Retirement Plans</li>
<li>Comprehensive Medical, Dental and Vision Insurance Plans</li>
<li>Education Benefits</li>
<li>Paid Maternity and Paternity Leave</li>
<li>Family Care Benefits</li>
<li>Commuter Transit Program</li>
<li>Subscription Discounts</li>
<li>Employee Referral Program</li>
</ul>Learn more about all our US benefits
\#LI-Hybrid
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put &quot;Reasonable Accommodation&quot; in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.
Business Area: Dow Jones - Global Business Operations
Job Category: General Management
Union Status:
Non-Union role
Base Pay Range: $75,000 - $95,000
We&rsquo;re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate&rsquo;s experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
Since 1882, Dow Jones has been finding new ways to bring information to the world&rsquo;s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron&rsquo;s, MarketWatch and Financial News.
This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.
Req ID: 52489</div>

AI Enablement Business Analyst, Senior

Explore 1640+ Business intelligence analyst in New York this May. Find roles across top companies and apply now to boost your career.

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