administrative business partner, corporate engineering

data engineer

software engineer

business analyst

administrative business partner, corporate engineering Jobs in New York

ai enablement analyst

business intelligence engineer

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

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
At Amazon Supply Chain, we power the world's fastest-growing e-commerce business and embrace the mission of being Earth&rsquo;s most customer-centric company. As our business continues to expand, the customer fulfillment operations become larger and more complex each year. 
 
The Network Sales and Operations Planning (S&amp;OP) team forecasts all inventory flows across the entire North America Fulfillment network. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). The network S&amp;OP forecast is the starting point of a weekly planning process spanning first, middle mile, last mile and defining the amount of resources (trucks, labor) that need to be secured to ensure we fulfill our customer orders at the highest speed, best quality, lowest cost and least carbon intensity as possible. We partner closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation, Labor Planning and Finance teams to reconcile bottom-up and top-down inputs to build analytical forecasts which are accurate and provide valuable insight. We also partner with Supply Chain Execution (SCE) teams as well as Science partners to define the optimal allocation under constraints of volumes across the 9 Regions of the US fulfillment network. 
 
We are now seeking a Business Intelligence Engineer to be part of a 2-3 person analytical group within the network S&amp;OP team. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will research forecasting techniques, deep dive existing data sources to build new models to improve forecasting accuracy. You will also develop data solutions and advanced visualization techniques to offer forecast analysis to senior stakeholders (up to SVP). You will collaborate with business, product management, and engineering teams to drive progress.
 
Key job responsibilities 
 
<ul><li>Develop new forecasting models</li><li>Build advanced visualization solutions to allow business and tech stakeholders to deep dive and understand the teams forecasts.</li><li>Collaborate across multiple teams to ensure alignment with business goals and objectives.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of processing large, multi-dimensional datasets from multiple sources experience</li><li>1+ years of performing statistical analysis experience</li><li>1+ years of developing automated reporting experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</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>Bachelor's Degree</li><li>Experience analyzing and communicating results to senior leadership</li><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.</li><li>Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.</li><li>3+ years of SQL experience</li><li>Master's degree in statistics, data science, or an equivalent quantitative field</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, TX, Houston - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer , North America Network Sales and Operations planning

Adaptive Home Health

<div>
 
 About Us
 
 
 
 
 We are fixing US healthcare by building an AI-native physical care platform, starting with home health.
 
 
 
 Home health is a $140B industry with less than $10B in EBITDA &mdash; 40% of revenue is spent on pure administrative waste. We automate this work with AI, creating a fundamentally different cost structure compared to incumbents. This lets us rapidly take market share by serving the 30% of patients who go untreated today.
 
 
 
 By reshaping the cost structure of this industry, we unlock its growth.
 
 
 
 We&rsquo;ve built one of the best AI teams in the world (from Character AI, Scale, Palantir, Citadel, Jane Street) and paired them with a team of healthcare veterans and ex-MBB strategists to build a new type of healthcare company: one that delivers care at the speed of an AI company.
 
 
 Our physical care platform already operates with 30pp higher gross margins than traditional home health providers. With our AI advantage, we pay nurses more, remove their admin burden, and unlock the scale economics that have been missing from this fragmented industry. If we served this entire $140B market, instead of $10B in EBITDA, we&rsquo;d drive $60B.
 
 
 We're starting with home health, then expanding to all delivered care. Our mission is
 
 &ldquo;any care, any where&rdquo;
 
 .
 
 
 
 Fundamentally, our incentives are aligned with America. Every dollar in revenue we make is two dollars taken out of the healthcare system. If we succeed, so does US healthcare.
 
 
 
 
 About The Role
 
 
 
 We're hiring a
 
 Data Engineer
 
 to build the data infrastructure that powers business intelligence, operational analytics, and AI-driven decision-making across our platform. You'll design and implement data pipelines, integrate disparate healthcare data sources, and model complex domains like RCM, intake, and clinical operations to enable real-time insights and automation.
 
 
 A successful Data Engineer at Fira is
 
 analytical, detail-oriented, and comfortable working across the full data stack&mdash;from raw ingestion to analytics-ready models.
 
 You'll have significant ownership over our data architecture and the opportunity to define how we measure, monitor, and optimize every aspect of our operations.
 
 
 Over time, you'll take end-to-end ownership of our data platform, setting the technical vision for data infrastructure and enabling data-driven insights that shape product and business decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain robust data pipelines that integrate data from multiple sources including EMRs, EDI feeds, internal systems, and third-party APIs.
 </li>
 <li>
 Develop and manage data infrastructure using modern data stack technologies (Postgres, Databricks, Redshift, or similar warehouses).
 </li>
 <li>
 Model complex healthcare domains (RCM workflows, clinical operations, intake processes) into clean, queryable data schemas that support analytics and reporting.
 </li>
 <li>
 Build analytics, alerting, and dashboards to identify and prioritize opportunities for automation or process improvement across the business
 </li>
 <li>
 Contribute to the technical direction of our Business Intelligence platform, scaling data infrastructure to support growing operational needs.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Engineering Experience: 3+ years building and maintaining data pipelines, warehouses, and analytics infrastructure in a production environment.
 </li>
 <li>
 Technical Proficiency: Strong experience with SQL and at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and relational databases (Postgres, MySQL).
 </li>
 <li>
 Analytics &amp; Data Science: Comfortable with statistical analysis, exploratory data analysis, and applying analytical techniques to solve business problems. Familiarity with Python or R for data analysis.
 </li>
 <li>
 Pipeline Development: Experience building ETL/ELT pipelines using modern orchestration tools (Airflow, dbt, Dagster, or similar).
 </li>
 <li>
 Collaboration &amp; Communication: Ability to translate technical data concepts for non-technical stakeholders and partner effectively with Product and Engineering teams.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in healthcare technology, especially with healthcare data standards (EDI, HL7, FHIR, claims data, clinical documentation).
 </li>
 <li>
 Experience with real-time or streaming data pipelines.
 </li>
 <li>
 Background in data science or machine learning, including feature engineering for AI/ML systems.
 </li>
 <li>
 Exposure to business intelligence tools (Hex, SigmaComputing, or similar).
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity for growth in a fast-growing company
 </li>
 <li>
 Collaborative team valuing innovation and problem-solving
 </li>
 <li>
 Competitive salary and equity compensation
 </li>
 <li>
 Flexible time off policy&mdash;we expect most employees to take at least 3 weeks of vacation per year
 </li>
 <li>
 In-office lunches, dinners, and snacks to fuel your focus and well-being
 </li>
 <li>
 401(k) retirement plan with employer contribution
 </li>
 <li>
 Comprehensive health insurance, dental, and commuter benefits
 
 
 </li>
 </ul>
 
 Location
 
 
 
 This role is in-person 3-5 days a week in our New York City office
 
 
</div>

Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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 - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

Crown Equipment

<div>Company Description: 
Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world&rsquo;s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.<div><div><div><h2 class="jobSectionHeader"> 
Business Intelligence Manager</h2></div><div>
Job Duties<ul><li>
Management Responsibilities -Provide leadership for the business intelligence staff. Ensure open, timely communication with staff by participating in staff meetings and initiating coordination with others whenever necessary to accomplish work objectives. Participate with other supervisory personnel and management in establishing and maintaining department standards, strategies and best practices and procedures. Create schedules, assign tasks, monitor progress, and follow-up. Hold BI team members accountable for items. Resolve issues regarding testing issues. Review scope change requests to reassess and amend the work requirements and timeline.</li><li>
Development Planning and Organization - Responsibilities include assisting with the creation and adherence to BI Reporting Strategy and Development Methodology. Communicate progress and work to resolve issues.</li><li>
Report / Dashboard Creation - Design, develop, test, document and maintain reports and dashboards.</li><li>
Research, Training, and Self Study - Perform on going self-study of job-related issues. Conduct and/or attend both formal and informal departmental and computer training.</li></ul> 
Minimum Qualifications<ul><li>
5-7 years' related experience</li><li>
Bachelor&rsquo;s degree (Business, Computer Science, MIS or related)</li><li>
Non-degree considered if 12+ years of related experience along with a high school diploma or GED</li><li>
Occasional travel (0-5%)</li><li>
Occasional overnight stays (0-5%)</li><li>
Per 8-hour shift. Sit 8 hours and stand 0 hours. Typical office environment (low noise level, limited exposure hot/cold temperatures, dust, fumes, and vibrations). Regular interaction with others and performs a degree of independent work. Physical and mental demands are akin to the majority of office positions with prolonged periods of sitting and prolonged use of a computer/keyboard. Infrequent lifting, walking and climbing stairs. Occasional use of office equipment (copiers, printers, etc.).</li></ul> 
Preferred Qualifications<ul><li>
Experience with BusinessObjects and SAP BW environment or experience with Microsoft SSRS/SSIS/PowerBI.</li><li>
Good written, verbal, analytical and interpersonal skills</li></ul></div></div></div> 
Work Authorization: 
Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire. 
No agency calls please. 
Compensation and Benefits: 
Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.
EOE Veterans/Disabilities</div>

Business Intelligence Manager

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As a Sr. Financial Analyst in the Sponsored Products finance organization, you will be a key member of the Sponsored Products advertising team. You will work side by side with product and finance leaders to develop business strategies, financial models and analytical insights that influence business decisions. As a finance partner, you will have the opportunity to work with large advertising data sets to influence the long-term evolution of our products and develop insights into various aspects of our business.
 
 
Key job responsibilities 
Responsibilities include, but are not limited to:
 
Serve as a finance partner for the SP product and engineering leaders on strategic initiatives, leading planning, business modeling, and financial analysis;
 
 
Design and develop performance metrics, institute reporting mechanisms, and implement processes to drive insights related to business performance for stakeholders;
 
 
Facilitate financial and operational metrics review meetings with product and finance leaders and work with business to drive effective execution; Develop financial models for new business initiatives, experimentation, and special projects;
 
 
Collaborate with business intelligence engineers and data engineers to continually improve and enhance existing reporting and mechanisms, proactively identify performance issues and deep dive to investigate and uncover insights; 
 
 
 
A day in the life 
A day in the life of a Sr. Financial Analyst can include - leading a WBR to drive discussions with product teams on business performance, partner with product to investigate KPI trends and prepare a document to be reviewed with senior product leaders, collaborate with BIE and Data Engineering teams to design and implement a new set of metrics in multiple formats (WBR/MBR slides, dashboards) for business stakeholders.
 
 
About the team 
Sponsored Products (SP) Advertising is one of the largest and fast growing business segments within Amazon Advertising. The SPB Finance team partners with this business to provide data analytics and reporting, support product initiative launches and performance tracking, drive operational improvements, and deep dive into business performance to provide insights that can enable growth.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>4+ years of Accounts Receivable or Account Payable experience</li><li>4+ years of applying key financial performance indicators (KPIs) to analyses experience</li><li>4+ years of creating process improvements with automation and analysis experience</li><li>4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience</li><li>Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience</li><li>Six Sigma Black Belt</li><li>Experience with advanced use of SQL for data mining and business intelligence</li><li>Experience as a lean sensei, or experience working as a Quality Assurance Engineer</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience</li><li>MBA, or CPA</li><li>Knowledge of Tableau</li><li>Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)</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 - 73,600.00 - 128,800.00 USD annually 
USA, WA, SEATTLE - 82,700.00 - 117,100.00 USD annually</div>

Sr. Financial Analyst, Sponsored Products and Brands Finance

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</li><li>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</li><li>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</div>

Artificial Intelligence (“AI”) Solutions Engineer

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