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data analyst i

business intelligence analyst

Delta Dental

<div>We are looking for a dedicated Business Intelligence Analyst responsible for analyzing oral health data to evaluate the utilization and reimbursement of dental services and the associated costs. The role involves working closely with the clinical teams, actuaries, and other stakeholders to identify trends, develop strategies to optimize resource use, create and maintain reimbursement analytics, and improve cost-efficiency with improved patient care quality.

At Delta Dental of Washington our vision is that all people can enjoy good oral and overall health, with no one left behind. We succeed because of a shared commitment to a set of values that guide everything we do &ndash; for our customers, for our communities, and for each other. We are Accountable. We lean in with Courage. We stay Curious. We are Inclusive. We act with Integrity.

We offer a highly competitive medical, dental and vision plans as well offering a generous 401k match and all employees start accruing vacation and sick time from their very first day. We empower employee development through our tuition reimbursement plan, professional development plans, and employee-led communities.

The pay range for this position varies between $70,900.00 &ndash; $118,100.00. Washington Dental Service and its affiliates, including Delta Dental of Washington and Arcora Foundation intends to offer the selected candidate a base pay within this range, dependent on job-related, non-discriminatory factors such as experience. Base pay will also be adjusted based on the candidate's geographic location.

Essential Responsibilities include the following: The list of responsibilities listed is not intended to be comprehensive. Washington Dental Service and its affiliates, including Delta Dental of Washington and Arcora Foundation reserve the right to change the responsibilities at any time with or without notice.
<ul>
<li>Uses various analytic tools (SQL, Tableau) to perform statistical analysis and visualization of clinical and claims data to create actionable insights and support decision-making.</li>
<li>Analyze claims and clinical data to identify financial improvement opportunities.</li>
<li>Provide analytics that support metric driven goals with providers.</li>
<li>Analyzes provider reimbursement patterns and provides actionable data to provider facing team members.</li>
<li>Develop and maintain comprehensive reports on utilization trends, cost drivers and financial performance.</li>
<li>Collaborate with clinical teams to develop and implement utilization management protocols and best practices.</li>
<li>Solutions and process improvement projects to achieve operational and business goals.</li>
<li>Conducts provider specific fraud and abuse research.</li>
<li>Monitor existing metrics and develop and propose new metrics.</li>
<li>Stay updated with industry trends, best practices and regulatory changes related to cost and utilization of dental services.</li>
<li>Performs ad hoc research and analysis as needed.</li>
</ul>
Experience, skills, and education do you need to have to succeed in the position: The requirements listed below are representative of the knowledge, skill, and/or ability required to successfully perform the essential functions of the position.
<ul>
<li>Proficiency in data analysis tools and software (e.g. SSMS, SSRS, Snowflake, Excel, Tableau)</li>
<li>Ability to build data visualizations (e.g., Tableau).</li>
<li>Experience in healthcare systems, and knowledge of dental and insurance terminology.</li>
<li>Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights</li>
<li>Excellent communication skills, both written and verbal, with the ability to present findings to various stakeholders.</li>
<li>Detail-oriented with strong organizational skills.</li>
<li>Bachelor's degree (B. A.) from four-year College or university; and two years related experience and/or training; or equivalent combination of education and experience.</li>
</ul>
Washington Dental Service and its affiliates, including Delta Dental of Washington and Arcora Foundation is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

We are committed to the highest standards of information security and HIPAA compliance, ensuring the confidentiality, integrity, and protection of all data. All staff are expected to support this commitment by following relevant policies.</div>

Business Intelligence Analyst

Data Scientist, Product Analytics

Stackline

<div>
 Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure.
 
 
 Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates.
 
 
 Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.
 
 
 
 About the Role:
 
 
 
 Join us as a Data Analyst where you will step into a dynamic role that that makes a real impact for our clients. If you are passionate about uncovering hidden insights within complex data sets and transforming raw data into actionable knowledge, then we want to talk with you! In this role you will embark on an adventure that utilized your analytical prowess to decode data, identify trends, and help shape the future of Stackline. Apply today and help us on our quest to unlock the full potential of data while contributing to meaningful change! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.
 
 
 
 What You Will Do:
 
 
 
 <ul>
 <li>
 Conduct comprehensive dataset analyses across Stackline to extract insights, trends, and patterns utilizing mathematical, statistical, and probability methodologies.
 </li>
 <li>
 Build and maintain data pipelines and workflows to ensure data accuracy and consistency, while identifying and rectifying errors, inconsistencies, or missing information.
 </li>
 <li>
 Provide timely and precise responses to inquiries from both internal and external sources regarding datasets and models.
 </li>
 <li>
 Apply technical expertise to process complex datasets, establish quality control procedures, and derive actionable insights through analytics.
 </li>
 <li>
 Develop scalable processes for automating reports and visualizations to communicate findings effectively to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.
 </li>
 <li>
 Document data sources and processes for data analysis.
 
 
 </li>
 </ul>
 
 Who We Are Looking For:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
 </li>
 <li>
 2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
 </li>
 <li>
 2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
 </li>
 <li>
 Demonstrated experience with Python and SQL.
 
 
 </li>
 </ul>
 
 Bonus Points If You Have:
 
 
 
 <ul>
 <li>
 Prior experience using advanced statistical tools such as SciPy or sklearn.
 </li>
 <li>
 Prior experience with big data technologies such as Hadoop or Spark.
 </li>
 <li>
 Demonstrated experience designing and building innovative ideas, working closely with technical teams from concept generation through implementation.
 </li>
 <li>
 Experience working in a startup, retail, digital advertising, or e-commerce environment.
 
 
 </li>
 </ul>
 
 Benefits And Perks
 
 
 
 It's important that each and every employee feels they are supported and can complete their life's best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, location, and performance. The pay range for this position in Seattle is $85,000 - $105,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes:
 
 
 <ul>
 <li>
 Comprehensive benefits plan covering medical, dental, and vision
 </li>
 <li>
 Fertility benefits
 </li>
 <li>
 Company 401k plan plus matching
 </li>
 <li>
 Company paid Life Insurance
 </li>
 <li>
 20 days annually of Paid Time Off (with no accrual or tenure needed)
 </li>
 <li>
 9 Paid company holidays
 </li>
 <li>
 100% Paid Parental Leave - 20 weeks for birthing mothers and 12 weeks for all other parents
 </li>
 <li>
 Summer Fridays early close at 3 pm
 </li>
 <li>
 Fully stocked kitchen snacks with fresh fruit
 </li>
 <li>
 Happy hours and monthly catered lunches
 
 
 </li>
 </ul>
 
 Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. We encourage applicants from all backgrounds to apply. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
</div>

Data Analyst I

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As a Financial Analyst in the Sponsored Product finance organization, you will be a key member of the Sponsored Product 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 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>1+ years of finance experience</li><li>1+ years of Accounts Receivable or Account Payable experience</li><li>1+ years of applying key financial performance indicators (KPIs) to analyses experience</li><li>Bachelor's degree in Finance, Accounting, Business, Economics or a highly analytical field (e.g., Engineering, Math, and Computer Science)</li><li>Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills</li><li>Experience using data to influence business decisions</li><li>Experience in corporate finance including budgeting/planning, forecasting and reporting</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>1+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience</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 - 66,300.00 - 109,200.00 USD annually 
USA, WA, Seattle - 80,200.00 - 99,300.00 USD annually</div>

Financial Analyst, Sponsored Products and Brands Finance

Microsoft

<div>Overview 
Our sellers are key to how customers and partners understand Microsoft&rsquo;s products and strategies, but how do we align the conversations of thousands of sellers with each other and with the company&rsquo;s strategy? Making sure that the sellers are having the right conversations at the right time is key to the company&rsquo;s success, and the Worldwide Incentive Compensation team connects strategy to seller behavior in one of the most important ways: by aligning company aspirations with seller incentives. 
Worldwide Incentive Compensation (WWIC) is the team at Microsoft that is responsible for the design, implementation and operations related to the sales and incentive plans across all of Microsoft, impacting 40K+ employees. Our vision is to embody best-in-class, design-to-deployment incentive compensation that inspires sellers to maximize their success and rewards and enables sustainable growth, share, and customer success. 
The Sr. Data Analyst - Quota Delivery is key in enabling the benefits of AI agents in Quota Setting process. It blends technical expertise in data analytics with business acumen in sales compensation. You will partner with cross-functional teams to deliver quotas to sellers, build, and deploy AI agents, and deliver insights that influence processes and seller behavior. In addition, you will engage with diverse stakeholders, manage complex relationships, and drive innovation across the organization. 
Responsibilities 
Business and Data Landscape<ul><li>
Applies deep knowledge of the business, data landscape, tools, technologies, and data lineage across multiple domains.</li><li>
Connects business topics to relevant data sources and external trends, anticipating data and business requirements.</li><li>
Proactively frames business questions into analytical solutions and identifies opportunities to enhance or automate data infrastructure and insights.</li><li>
Builds strong cross‑functional connections to enable effective data sourcing, integration, and evaluation of business questions.</li><li>
Stays current on analytics tools, best practices, and regulatory changes, while coaching others to broaden business and data understanding.</li></ul> 
Quota Delivery Excellence<ul><li><ul><li>
Lead continuous improvement and innovation across quota delivery processes to enable speed, quality, and strategic alignment. Initially focus on Microsoft Federal Organization and then expand to other business groups.</li><li>
Own end-to-end product lifecycle including requirement gathering, prioritization, roadmap creation, delivery execution, and post-launch measurement.</li><li>
Drive quality and scale across quota management processes and tools, including future-year business rules, in-year governance, standardized workflows, and tool functionality.</li></ul></li></ul> 
AI Excellence and Data Analysis<ul><li><ul><li>
Apply large language models (LLMs), prompt engineering, evaluations, and agentic workflows to quota delivery and governance challenges.</li><li>
Assess existing quota and WWIC systems, data flows, and processes to identify AI-led automation and productivity opportunities.</li><li>
Build and iterate rapid prototypes of AI-enabled solutions improving decision support, data quality, and user experience.</li><li>
Drive continuous learning and AI capability building across the Quota Delivery team</li><li>
Establish feedback loops to measure AI impact on productivity, quality, and operational efficiency.</li><li>
Understands relationship between analytical model(s) and business objectives. Ability to create a clear connection between generated data models and business goals to evaluate how well these models achieve those objectives, while also identifying any gaps or missed areas.</li><li>
Ensures alignment on definitions and standards across stakeholders and defines, designs, and promotes the use of appropriate feedback and evaluation methods. Coaches and mentors are less experienced analysts than needed. Presents results and findings to senior stakeholders.</li></ul></li></ul> 
Strategic Insights and Leadership<ul><li>
Own delivery of data-backed insights on quota strategy execution, effectiveness, risks, and opportunities.</li><li>
Leverage seller performance and quota data to inform current-year execution and future-year quota strategy and governance.</li><li>
Act as a trusted advisor to senior stakeholders, translating complex data and AI-driven insights into clear business narratives.</li></ul> 

Qualifications 
Required/minimum qualifications<div>
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.</div><div>
</div><div>
Other Requirements</div><div>
Citizenship &amp; Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport.</div><div> 
Preferred Qualifications<div><div><div><ul><li>
Experience with Artificial Intelligence (AI) Ethics issues around fairness, transparency, accountability, and ethics in relation to the use of artificial intelligence (AI).</li><li>
Experience detecting and correct corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate, or irrelevant parts of the data and then replacing, modifying, or deleting as needed to maintain the integrity of the data.</li><li>
Experience with technical and business processes used to combine data from disparate sources into meaningful and valuable information to deliver a complete data integration solution.</li><li>
Experience maintaining and assuring the accuracy and consistency of data over its entire lifecycle in design, implementation, and usage of systems. This includes knowledge of data governance practices to ensure data quality and defined risk management surrounding the handling of data.</li><li>
Experience examing large databases to discover patterns and generate new information. This includes the use of machine learning, statistics, and database systems and aims toward extracting information from a data set and transforming the information into a comprehensive structure for further use.</li><li>
Experience with data modeling procedures and the ability to identify and clearly define the business data entities (for example, persons, places, things, concepts, events), attributes, and relationships between them. This includes the ability to read, understand, and develop test data models.</li></ul></div></div></div></div> 
<div></div>
 
 
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Sr Data Analyst - Quota Delivery

Marcus & Millichap

<div>
 Founded in 1971, Marcus &amp; Millichap (NYSE: MMI) is a leading commercial real estate brokerage firm focusing exclusively on investment sales, financing, research, and advisory services, with nearly 1,700 investment sales and financing professionals in 80+ offices throughout the United States and Canada.
 
 
 Our mission is to help our clients create and preserve wealth by providing the best real estate investment sales, financing, research, and advisory services available.
 
 
 Marcus &amp; Millichap, Inc. is a leading national real estate services firm specializing in commercial real estate investment sales, financing services, research and advisory services. As of December 31, 2025, the Company had 1,808 investment sales and financing professionals in more than 80 offices who provide investment brokerage and financing services to sellers and buyers of commercial real estate. The Company also offers market research, consulting and advisory, and leasing services to its clients. Marcus &amp; Millichap, Inc. closed 8,818 transactions in 2025, with a sales volume of $50.8 billion.
 
 
 A senior investment sales team at Marcus &amp; Millichap in the firm&rsquo;s Seattle office is seeking a dependable and motivated Financial Analyst with prior experience in real estate financial analysis and valuation to become a part of our team. This is a full-time, in-office position working directly under a top-producing multifamily investment sales team.
 
 
 The ideal candidate will have strong analytical skills, excellent professional business writing abilities, and a high level of proficiency in Microsoft Excel, including financial modeling. Candidates must hold a Bachelor&rsquo;s degree in Business, Finance, Real Estate, or a related field, or have 2 &ndash; 3 years of experience performing complex financial modeling and analysis.
 
 
 
 Position Overview
 
 
 
 The Financial Analyst will provide financial and analytical support across all aspects of the team&rsquo;s investment sales process. Responsibilities include underwriting property values, preparing proposals and opinions of value, conducting market research both, analyzing comparable properties and sales trends, and preparing financial analyses for client presentations. Professionalism, a strong work ethic, and attention to detail are musts.
 
 
 The Financial Analyst will be an integral contributor to the team. This role is well suited for someone who thrives in a fast-paced environment, can manage multiple priorities under tight deadlines, and works well both independently and as part of a team.
 
 
 The anticipated salary range for candidates who will work in Seattle, WA is $33.65-43.27. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the industry, education, etc. Marcus &amp; Millichap is a multi-state employer, and this salary range may not reflect positions that work in other states.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Prepare financial models for commercial real estate valuation
 </li>
 <li>
 Underwrite multifamily properties and analyze investment performance
 </li>
 <li>
 Prepare marketing proposals and meeting presentation materials
 </li>
 <li>
 Conduct market research to support underwriting and property evaluations
 </li>
 <li>
 Track market trends, including rental growth, development activity, and sales comparables
 </li>
 <li>
 Respond to client requests for property information in a timely and professional manner
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher, or equivalent relevant experience
 </li>
 <li>
 Experience in financial analysis and real estate underwriting
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Highly organized with strong attention to detail
 </li>
 <li>
 Ability to work efficiently under deadlines and manage multiple assignments
 </li>
 <li>
 Proactive, self-motivated, and team-oriented
 </li>
 <li>
 Proficiency in Microsoft Office, with advanced skills in Microsoft Excel
 </li>
 <li>
 Ability to handle sensitive information and maintain strict confidentiality
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical
 </li>
 <li>
 Dental
 </li>
 <li>
 Vision
 </li>
 <li>
 Accident
 </li>
 <li>
 Short Term &amp; Long Term Disability
 </li>
 <li>
 Flexible spending accounts
 </li>
 <li>
 Cancer Guardian
 </li>
 <li>
 401(K) Plan
 </li>
 <li>
 Wellness Program
 </li>
 <li>
 Employee Assistance Program
 
 
 </li>
 </ul>
 Marcus &amp; Millichap provides equal employment opportunities to all employees and applicants for employment without discrimination with regard to race, religious belief (including dress or grooming practices), color, sex, sex stereotype, pregnancy, childbirth or related medical conditions (including breast feeding), age, national origin, ancestry, sexual orientation, gender identification and expression, transgender status, physical or mental disability, medical condition, genetic characteristics, genetic information, family care, marital status, enrollment in any public assistance program, status as military, a veteran or qualified disabled veteran, status as an unpaid intern or volunteer, or any other classification protected by law. We also prohibit discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. In addition to federal law requirements, Marcus &amp; Millichap complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 The anticipated salary range for candidates who will work in Seattle, WA is $33.65-43.27. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the industry, education, etc. Marcus &amp; Millichap is a multi-state employer, and this salary range may not reflect positions that work in other states.
</div>

Financial Analyst

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Sales, Marketing and Global Services (SMGS)
 
 
 AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
 
 
 Mission Statement
 
 
 The AWS Marketing Data: AI Science, Analytics and Engineering (D:SE) team owns analytics, reporting and self-service tooling, data representation, machine learning models, measurement, valuation and economics products for AWS Marketing. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, increase experimentation velocity, improve data access and analytical self-service, deploy and test ML-powered targeting models, drive higher economic value, and empower strategic decisions with business deep dives. We enable other analytics, BI, and science teams across AWS Marketing through mechanisms, partnerships and scalable tools. We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing.
 
 
 
 Overview
 
 
 
 Would you like to support increasing customer base and the revenue for AWS, a market-leading cloud offering? Would you like to be part of a team focused on increasing awareness and adoption of the AWS platform by analyzing customer's behavior on and outside AWS websites? Do you want to empower our AWS Marketing organization make data-driven decisions that further establish AWS as leader in the cloud computing world?
 
 
 As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data warehousing environment. We are looking for someone with the uncanny ability to integrate multiple heterogeneous data sources with AWS Marketing Data Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using these technologies to enable upgrades of the existing platform. You should have excellent business and communication skills and be able to work with business owners to develop and define key business questions, then build the data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing reporting applications. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.
 
 
 At AWS, you have control over every layer you build. Instead of owning a small slice of an existing service, you will own a core segment of a growing marketing platform serving 1000s of internal customers and millions of external customers. You will build on multiple AWS services and have opportunities to engage directly with those teams to improve our core offerings. At AWS, we work with our customers on a daily basis to prove out our ideas, gather feedback, and improve the platform.
 
 
 A day in the life
 
 
 <ul>
 <li>
 Design, implement, and support a platform providing ad-hoc access to large datasets
 </li>
 <li>
 Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
 </li>
 <li>
 Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
 </li>
 <li>
 Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
 </li>
 <li>
 Interface with business customers, gathering requirements and delivering complete reporting solutions
 </li>
 <li>
 Build and deliver high quality datasets to support business analyst and customer reporting needs
 </li>
 <li>
 Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 About AWS
 
 
 Diverse Experiences
 
 
 AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
 Why AWS?
 
 
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
 Inclusive Team Culture
 
 
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
 
 
 Mentorship &amp; Career Growth
 
 
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
 Work/Life Balance
 
 
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
 
 Basic Qualifications
 
 
 
 <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>
 </ul>
 
 Preferred Qualifications
 
 
 
 <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.
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
 
 
 
 
 Company
 
 - Amazon Web Services, Inc.
 
 
 Job ID: A3150371
</div>

Data Engineer, AWS Marketing D:SE

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