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ai and data mid-market sales engineer senior manager Jobs in Seattle

applied scientist, aws applied ai solutions Jobs in Seattle

business analysis manager, global supply chain Jobs in Seattle

data analyst 3, merchandising customer insights (hybrid, seattle) Jobs in Seattle

data analyst i

senior financial analyst aws marketing finance

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) seeks a Senior Financial Analyst to be a key member of our AWS Marketing Finance team. This is an exciting opportunity to join one of our fastest growing business divisions at Amazon. As a Senior Financial Analyst, you will work closely with finance leaders to develop financial models and analytical insights to assist in evaluating new business concepts, turning insights into valued action, and identifying paths to improve overall planning and forecasting processes.
 
 
Key job responsibilities 
<ul><li>Develop relationships with business teams, implement new processes, and drive continuous improvement.</li><li>Execute annual plans, quarterly forecasts, month end close, and perform ad-hoc analyses.</li><li>Create, improve, and maintain financial metrics, reports and scorecards used for our business partners.
</li><li>Measure marketing programs by collecting, analyzing, and managing quantitative data to create meaningful analyses and models.</li></ul> 
A day in the life 
Creating and maintaining strong relationships with business owners will be an important part of this role, which will require the need to work closely with finance leaders on a daily basis to understand and develop financial models and analytical insights. Strong ownership of the P&amp;L and ability to help business partners understand month end close results and associated risks and opportunities is important. A bias for action is very important to help the business execute on their plans.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>Bachelor's degree in finance, accounting or related field, or a Bachelor's degree and experience in financial modeling, P&amp;L management or analysis</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>MBA, or CPA</li><li>Knowledge of Tableau</li><li>3+ years of creating process improvements with automation and analysis 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, VA, Arlington - 66,900.00 - 117,100.00 USD annually 
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually</div>

Senior Financial Analyst, AWS Marketing Finance

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud computing.
 
 
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across multiple domains - from Analytics and AI to Security and Developer Tools. 
 
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. 
 
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
 
 
Key job responsibilities 
Partner with product management and GTM teams to develop portfolio-level strategy documents and guide AWS service prioritization 
Create and own positioning and messaging that clearly articulates value propositions to customers
 
Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
 
Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
 
Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
 
Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
 
Drive field enablement strategies to support product launches, campaigns, and customer success 
Aligns with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent</li><li>6+ years of direct experience working in the Financial Services industry vertical</li><li>6+ years of hands-on experience with cloud architectures in technical domains (e.g., Analytics, Developer Tools, Compute, Databases, Generative AI)</li><li>Demonstrated experience creating technical content and delivering technical presentations to diverse audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>MBA, or Master's degree</li><li>Experience developing go-to-market strategies for technical products</li><li>Track record of creating compelling technical demonstrations and reference architectures</li><li>Strong data analysis skills with ability to synthesize insights from multiple source</li><li>Experience presenting to executive-level audiences and industry analysts</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 - 161,900.00 - 218,600.00 USD annually 
USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually</div>

Sr. Product Marketing Manager - Tech, Financial Services Industry, AWS Industry Marketing

Junior Acquisitions Analyst

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud computing.
 
 
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across multiple domains - from Analytics and AI to Security and Developer Tools. 
 
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. 
 
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
 
 
Key job responsibilities 
Partner with product management and GTM teams to develop portfolio-level strategy documents and guide AWS service prioritization 
Create and own positioning and messaging that clearly articulates value propositions to customers
 
Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
 
Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
 
Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
 
Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
 
Drive field enablement strategies to support product launches, campaigns, and customer success 
Aligns with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent</li><li>6+ years of direct experience working in Telecom industry vertical</li><li>6+ years of hands-on experience with cloud architectures in technical domains (e.g., Analytics, Developer Tools, Compute, Databases, Generative AI)</li><li>Demonstrated experience creating technical content and delivering technical presentations to diverse audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>MBA, or Master's degree</li><li>Experience developing go-to-market strategies for technical products</li><li>Track record of creating compelling technical demonstrations and reference architectures</li><li>Strong data analysis skills with ability to synthesize insights from multiple source</li><li>Experience presenting to executive-level audiences and industry analysts</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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, CA, Santa Clara - 161,900.00 - 218,600.00 USD annually 
USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually</div>

Sr. Product Marketing Manager - Tech, Telecom, AWS Industry Marketing

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud computing.
 
 
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across multiple domains - from Analytics and AI to Security and Developer Tools. 
 
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. 
 
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
 
 
Key job responsibilities 
Partner with product management and GTM teams to develop portfolio-level strategy documents and guide AWS service prioritization 
Create and own positioning and messaging that clearly articulates value propositions to customers
 
Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
 
Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
 
Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
 
Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
 
Drive field enablement strategies to support product launches, campaigns, and customer success 
Aligns with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent</li><li>6+ years of direct experience working with customers on cloud technology adoption</li><li>6+ years of hands-on experience with cloud architectures in technical domains (e.g., Analytics, Developer Tools, Compute, Databases, Generative AI)</li><li>Demonstrated experience creating technical content and delivering technical presentations to diverse audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>MBA, or Master's degree</li><li>Experience developing go-to-market strategies for technical products</li><li>Track record of creating compelling technical demonstrations and reference architectures</li><li>Strong data analysis skills with ability to synthesize insights from multiple source</li><li>Experience presenting to executive-level audiences and industry analysts</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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, CA, San Francisco - 161,900.00 - 218,600.00 USD annually 
USA, CA, Santa Clara - 161,900.00 - 218,600.00 USD annually 
USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually</div>

Sr. Product Marketing Manager - Tech, AWS Product Marketing, Amazon Connect

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization. 
 
As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision. 
 
You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you&rsquo;re told a model can make assumptions, you actively try to break those assumptions. 
 
You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code. 
 
You do whatever it takes to add value. You don&rsquo;t care whether you&rsquo;re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability. 
 
You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team. 
 
You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models. 
 
You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation. 
 
Key job responsibilities 
<ul><li>Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.</li><li>Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.</li><li>Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.</li><li>Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks.</li><li>Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.</li><li>Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.</li></ul> 
About the team 
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. 
 
*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. 
 
*Diverse Experiences* 
Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 
 
*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. 
 
*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) conferences, inspire us to never stop embracing our uniqueness. 
 
*Mentorship and 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.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field</li><li>3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources 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, VA, Herndon - 108,300.00 - 160,000.00 USD annually 
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually</div>

Data Scientist, AWS Infrastructure Services Science

Databricks

<div>
 GAQ227R124
 
 
 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
 
 
 Databricks is looking for a Financial Analyst to join the Sales Finance team in the FP&amp;A organization. You will report to the Senior Manager, Finance. The Sales Finance team's primary goal is to help Databricks continue optimizing investment for long-term growth through thoughtful analysis and improving visibility across the business.
 
 
 You will be a trusted advisor to Sales and Finance leadership, delivering insights and providing recommendations for driving sustainable growth. You will improve forecast reliability, enhance corporate reporting, establish processes, and scale our systems to help grow the business. You will analyze usage trends across products, track key performance metrics, and partner with sales strategy on executive-level presentations.
 
 
 
 The Impact You Will Have
 
 
 
 <ul>
 <li>
 Analyze company performance against core KPIs and identify areas of potential risk and opportunities
 </li>
 <li>
 Build detailed empirical models from scratch to support financial recommendations
 </li>
 <li>
 Analyze daily usage trends across platforms, products, and business units and communicate insights for an executive-level audience
 </li>
 <li>
 Track the bookings pipeline and forecast impact on top-line financial performance
 </li>
 <li>
 Develop a deep understanding of Databricks&rsquo; business model to drive forecasts and business insights
 </li>
 <li>
 Partner with sales strategy and sales operations, and provide recommendations to finance leadership
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Economics, Accounting, Finance, or a comparable field
 </li>
 <li>
 2+ years of corporate finance, management consulting, or investment banking experience; familiarity with the software industry (and SaaS) a plus
 </li>
 <li>
 Experience in building financial models independently and preparing recommendations
 </li>
 <li>
 Solid understanding of Generally Accepted Accounting Principles (GAAP)
 </li>
 <li>
 Excellent analytical, organizational, and collaboration skills
 </li>
 <li>
 Experience simplifying and scaling while supporting a fast-moving, high-growth business
 </li>
 <li>
 Curiosity to learn and solve problems independently
 </li>
 <li>
 Ability to prioritize objectives in a fast-paced environment to ensure deliverables are met in a timely manner
 </li>
 <li>
 Expert in Excel/Google Sheets (can maintain complex spreadsheets); comfortable managing large datasets and driver-based models
 </li>
 <li>
 Prior experience using SQL or willingness to learn
 
 
 </li>
 </ul>
 
 Pay Range Transparency
 
 
 
 Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
 
 
 Zone 1 Pay Range
 
 
 $104,100&mdash;$143,100 USD
 
 
 
 Pay Range Transparency
 
 
 
 Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
 
 
 Zone 2 Pay Range
 
 
 $93,700&mdash;$128,800 USD
 
 
 
 About Databricks
 
 
 
 Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
 
 Benefits
 
 
 
 At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
 
 
 
 Compliance
 
 
 
 
 If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
 
</div>

Financial Analyst

Explore 113+ Senior financial analyst aws marketing finance in Seattle this March. Find roles across top companies and apply now to boost your career.