business process analyst, ww sales business transformation

aiml - sr machine learning engineer, data and ml innovation

administrative assistant, hardware technology

administrative assistant, platform apps & technologies

afs finance and risk analyst Jobs in Cupertino

afs finance and risk analyst

ai researcher

analyst, iap and commerce Jobs in Cupertino

analyst, iap and commerce

business process analyst, ww sales business transformation Jobs in Cupertino

commodity finance & data analyst Jobs in Cupertino

commodity finance & data analyst

business analyst

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Key responsibilities</b></p>
<ul><li>Experience solving complex business problems through analytics</li></ul>
<ul><li>Data Storytelling</li></ul>
<ul><li>Experience in building scalable dashboards</li></ul>
<ul><li>Strong in SQL, Python, Tableau, Snowflake, and AI tools (ChatGPT, Claude).</li></ul>
<ul><li>Exp in Developing Snowflake ETL pipelines</li></ul>
<ul><li>Deliver insights to leadership for strategic decisions</li></ul>
<ul><li>Partner with cross-functional teams (product, operations, finance) to identify business</li></ul>
<p>
 problems and deliver data-driven solutions for global product launches</p>
<p><b>
Location</b>: Cupertino, CA</p>
<p><b>
Salary Range</b>:$90,000-$140,000 a Year</p><br>
<p></p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Cupertino, CA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>416980</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | SQL | Tableau</div>
</div><div><div><b>Salary Range</b></div>
<div>$90,000-$140,000 a year</div></div></div></div><div></div>

Data Analyst

Apple

<p>The US Sales Finance PART (Process, Analytics, Reporting, and Technology) team is looking for a passionate and highly motivated technical Finance Analyst to support Apple's growth, top and bottom line.<br>
<br>
The PART organization exists to help the Sales Finance team operate at a higher altitude: working across process and systems to reduce manual work, build automated solutions, and unlock insights. Our experience with data foundations and process work positions us well to guide the Sales Finance organization through AI transformation.<br>
<br>
The PART team builds the library (building organized, curated information assets for Finance) and acts as librarians (subject-matter experts who guide partners to the right answer) for Sales Finance.<br>
<br>
<b>Description</b><br>
<br>
This role sits at the intersection of finance, process, and technology. You will spend your time understanding how the US Sales Finance team works today and identifying opportunities to improve the data landscape, eliminate manual deliverables and streamline ad-hoc requests.<br>
<br>
From there, you will partner with engineering and data teams to deliver enterprise-quality solutions, or build technical solutions yourself.<br>
<br>
You will be hands-on where it helps: writing SQL to investigate a data question, contributing to our data ecosystem in Dataiku, building a Tableau dashboard or data source to surface important data to humans or systems, drafting requirements that engineering can build against.<br>
<br>
A solution only counts when it gets used. You will spend time training analysts on what you build, writing documentation, and answering questions across all tools and data, including what you build.&quot;,&quot;responsibilities&quot;:&quot;You will work directly with the US Sales Finance team to deeply understand business priorities and process.<br>
<br>
Champion process adoption through collaboration, documentation, and training.<br>
<br>
Own projects from initiation through delivery including planning and directing schedules.<br>
<br>
Set the standards and tools in which the Sales Finance team completes its work.<br>
<br>
Partner with technical teams to design and develop requirements into workable solutions and lead the solution for the Sales Finance organization.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Strategic &amp; tactical balance - consistent track record of leading cross functional projects, combined with the ability to implement tactical project-level activities.<br>
<br>
User-centered delivery - strong focus on delivering results that work for end-users within technical constraints.<br>
<br>
Business process fluency - ability to quickly learn the end-to-end business processes of a large, multi-function organization.<br>
<br>
Stakeholder communication - ability to clearly and effectively communicate and maintain relationships with a diverse group of internal partners, including representing business problems in terms of product requirements.<br>
<br>
Influence without authority - experience influencing technical teams through credibility and without direct authority.<br>
<br>
Finance background - comfort with financial modeling, accounting principles and scenario analysis.<br>
<br>
SQL / data analysis - comfort with Excel and SQL for ad-hoc analysis; experience working with large datasets in enterprise warehouses (Snowflake, BigQuery, or similar) a plus.<br>
<br>
Data management &amp; governance - understanding of data management best practices to ensure a sustainable and automation-ready data strategy.<br>
<br>
Data accessibility - Tableau or similar; ability to build dashboards or data sources that are usable to the business immediately.<br>
<br>
GenAI tooling - interest and experience with AI based tools to improve process, understand data, create documentation, and drive concrete value.<br>
<br>
AI landscape - strong curiosity about the latest AI developments and thoughtfulness about how to apply them in a governed Finance environment where accuracy is critical.<br>
<br>
Python - scripting for data manipulation, automation, and lightweight tooling (pandas, Streamlit).<br>
<br>
Workflow automation - Dataiku or similar low-code platforms, ability to convert manual Excel processes into repeatable pipelines.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
5+ years of experience in finance-related business analysis, planning, strategy, and/or program and portfolio management roles.<br>
<br>
Bachelor's of Science (BS) or equivalent degree in Finance, Business Management, Computer Science, Engineering or a related field required.<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $137,900 and $207,300, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

US Sales Finance PART Analyst

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine<br>
learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must.<br>
<br>
Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience.<br>
<br>
you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers<br>
<br>
Key job responsibilities<br>
<ul><li>Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform.
</li><li>Own the customer onboarding journey from model evaluation through production training at scale</li><li>Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools.
</li><li>Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models.
</li><li>Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads.
</li><li>Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies).
</li><li>Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium.
</li><li>Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams.
</li><li>Recruit, mentor, and grow a high-performing team of ML systems engineers.
</li></ul><br>
A day in the life<br>
You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.<br>
<br>
About the team<br>
About Us<br>
Inclusive Team Culture<br>
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.<br>
<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
<br>
Mentorship &amp; Career Growth<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience working with PyTorch or JAX software</li><li>3+ years of engineering team management experience</li><li>7+ years of working directly within engineering teams experience</li><li>3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience partnering with product or program management teams</li><li>3+ years of experience in deep learning / machine learning, including model training workflows</li><li>Experience with distributed training at scale (multi-node, multi-accelerator)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware</li><li>Experience directly managing scientists or machine learning engineers</li><li>Experience debugging, profiling, and implementing best software engineering practices in large-scale systems</li><li>Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels</li><li>Experience with performance analysis, profiling, and optimization for deep learning training workloads</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually</div><p></p>

Software Development Manager, AWS Neuron SDK - Distributed Training

Explore 3+ Business analyst in Cupertino this June. Find roles across top companies and apply now to boost your career.

3 business analyst jobs In Cupertino

Data Analyst

US Sales Finance PART Analyst

Software Development Manager, AWS Neuron SDK - Distributed Training