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Tardus inc

Salesforce BA - Cupertino, CADescription:Bachelor&rsquo;s degree or equivalent experience in a pertinent field (required) * 5+ years of experience in business analysis, system configuration, or related technical business roles (required) * Salesforce Sales Cloud Consultant Certification (preferred)Pay: $55.00 - $60.00 per hourWork Location: In person

Salesforce Business Analyst

Apple

<div>We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards bright, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic and fast paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us. We are looking for an experienced individual who will focus on exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of feature usage behavior and conversion optimization. 
 
Description 
 
This role focuses on subscription analytics and initiatives to drive growth. Here, you will partner closely with Product, Business, Data Engineering and Instrumentation teams. The tasks fall broadly into these areas: 
 
<ul><li>Size new opportunities and work with a broad cross-functional team to support roadmap planning, implementation, and launch of new products and features.</li></ul> 
<ul><li>Identify key learnings from data and distill findings into recommendations for business owners</li></ul> 
<ul><li>Define, measure and communicate KPIs for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needs</li></ul> 
<ul><li>Work with engineering to identify data needs for new initiatives and build data pipelines. Partner with the instrumentation team to ensure tracking is in place before launches</li></ul> 

Preferred Qualifications 
 
Related business understanding with experience in product growth or analytics. 
 
Strong business presentation and storytelling skills. Communication skills to package findings. 
 
Work well within cross-functional teams and manage stakeholders. 
 
Ability to structure and solve problems. 
 
Minimum Qualifications 
 
5+ years of experience working and understanding of data structures and pipelines. 
 
5+ years of experience with demonstrated expertise in programming, developing, and managing SQL, R and/or PySpark. 
 
Bachelor's degree in the preferred fields of Mathematics, Economics, Engineering, Statistics, Business Analytics, Finance, or equivalent quantitative discipline 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $134,800 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Data Scientist, Subscription Analytics

<div>
 
 Summary
 
 
 
 At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses.
 
 
 Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes&mdash;from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
 
 
 
 Description
 
 
 
 The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting. The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Deep understanding and ability to compare predictive models, evaluate their strengths and weaknesses in a particular context, and interpret and explain model results to a broad group of technical and non-technical stakeholders are also a plus. Competitive candidates will also have experience working closely with data engineers to build efficient, scalable solutions. We are looking for a thoughtful and creative data scientist to join a team that creatively adapts state-of-the art analytical techniques to real-world business problems with an approach focused on rapid development, evaluation, and iterative improvement. Continuous learning is part of the job, both as it relates to technical skills and within the content and format of advertising domain
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 4+ years of recent experience in a data science role.
 </li>
 <li>
 Bachelor's in computer science, mathematics, or another quantitative field
 </li>
 <li>
 Command over Python and SQL.
 </li>
 <li>
 Comfort with cloud technologies such as AWS and Snowflake.
 </li>
 <li>
 Experience with Big Data tools such as Hadoop, Spark and PySpark.
 </li>
 <li>
 Experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses.
 </li>
 <li>
 Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product.
 </li>
 <li>
 Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems.
 </li>
 <li>
 Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in Business Analytics, Data Science, or a related analytical role
 </li>
 <li>
 Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques
 </li>
 <li>
 Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences
 </li>
 <li>
 Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions
 </li>
 <li>
 Proficiency in SQL and data visualization, with a strong eye for design and clarity
 </li>
 <li>
 Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn
 </li>
 <li>
 Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms
 </li>
 <li>
 Bachelor&rsquo;s degree in a related field, or equivalent industry experience
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters degree or Ph.D. in a quantitative discipline.
 </li>
 <li>
 Experience in the digital advertising industry or a related field and/or experience with demand forecasting
 </li>
 <li>
 Willingness to learn, both technically and in the domain of the data.
 </li>
 <li>
 Familiarity with packages like numpy, pandas, scikit-learn, and prophet
 </li>
 <li>
 Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins.
 </li>
 <li>
 Experience and/or interest in deep learning, LLMs, and Natural Language Processing.
 
 
 </li>
 </ul>
 
 Pay &amp; Benefits
 
 
 
 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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
 
 
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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 &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
 
 
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 
 
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Machine Learning Data Scientist - Core Insights, Apple Ads

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
Description 
 
The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting. The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Deep understanding and ability to compare predictive models, evaluate their strengths and weaknesses in a particular context, and interpret and explain model results to a broad group of technical and non-technical stakeholders are also a plus. Competitive candidates will also have experience working closely with data engineers to build efficient, scalable solutions. We are looking for a thoughtful and creative data scientist to join a team that creatively adapts state-of-the art analytical techniques to real-world business problems with an approach focused on rapid development, evaluation, and iterative improvement. Continuous learning is part of the job, both as it relates to technical skills and within the content and format of advertising domain&quot;,&quot;responsibilities&quot;:&quot;4+ years of recent experience in a data science role. 
 
Bachelor's in computer science, mathematics, or another quantitative field 
 
Command over Python and SQL. 
 
Comfort with cloud technologies such as AWS and Snowflake. 
 
Experience with Big Data tools such as Hadoop, Spark and PySpark. 
 
Experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses. 
 
Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product. 
 
Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems. 
 
Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production. 
 
Preferred Qualifications 
 
Masters degree or Ph.D. in a quantitative discipline. 
 
Experience in the digital advertising industry or a related field and/or experience with demand forecasting 
 
Willingness to learn, both technically and in the domain of the data. 
 
Familiarity with packages like numpy, pandas, scikit-learn, and prophet 
 
Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins. 
 
Experience and/or interest in deep learning, LLMs, and Natural Language Processing. 
 
Minimum Qualifications 
 
5+ years of experience in Business Analytics, Data Science, or a related analytical role 
 
Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques 
 
Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences 
 
Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions 
 
Proficiency in SQL and data visualization, with a strong eye for design and clarity 
 
Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn 
 
Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms 
 
Bachelor&rsquo;s degree in a related field, or equivalent industry experience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Data Scientist - Predictive Semantics Team, Apple Ads

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
Description 
 
We are looking for an analytical, highly motivated, and execution-oriented individual to support the growing Apple Ads team. This role requires someone who combines strong program management skills, analytical rigor, and operational finance discipline to help uphold Apple&rsquo;s legacy of efficiency and success. As part of the Apple Ads Finance team, you will partner closely with Sales, Product, Data Insights, Business Operations, and Corporate Finance, often acting as the connective tissue across teams. You will support revenue planning and analysis across Video Ads, with the opportunity to contribute to News Ads and other media advertising initiatives based on business needs and priorities. You will have regular interaction with senior leadership and play a meaningful role in shaping the growth of Apple&rsquo;s advertising products. 
 
The ideal candidate is a self-starter who thrives in ambiguity, can drive work forward across multiple stakeholders, brings a positive and collaborative mindset, and is equally comfortable building models, telling a data-driven story, and owning accounting responsibilities.&quot;,&quot;responsibilities&quot;:&quot;Support global revenue forecasting and planning for Video Ads, with exposure to News Ads and other Apple Media advertising initiatives as business needs evolve 
 
Build and maintain financial models and analyses that inform decision-making across planning, pacing, and strategic initiatives 
 
Act as a program manager for finance, coordinating inputs and alignment across Sales, Product, Data, and Accounting partners to keep initiatives moving forward 
 
Proactively surface trends, insights, and performance updates through clear, concise materials for stakeholders and senior leadership 
 
Translate complex analyses into compelling narratives that drive discussion, decisions, and action 
 
Design and present succinct, informative, and engaging keynotes tailored to an executive audience 
 
Own aspects of the quarter-end close process, including preparation of journal entries and ensuring financial results are accurate and compliant with accounting policy 
 
Develop a deep understanding of Apple Media advertising products and serve as a finance point of contact for key growth areas 
 
Build strong, trusted partnerships across Product, Sales, Marketing, Business Operations, Data Insights, and Finance 
 
Preferred Qualifications 
 
Demonstrated ability to own and drive complex, cross-functional initiatives, bringing structure, clarity, and momentum to ambiguous problems 
 
Strong foundation in financial modeling, forecasting, and business analysis, paired with working knowledge of accounting principles 
 
Highly analytical, with the ability to translate large and imperfect datasets into clear insights and actionable recommendations 
 
Proven track record of taking initiative, following through, and delivering results with a positive, collaborative approach 
 
Comfortable building relationships and influencing partners across multiple functions and levels of seniority 
 
Experience preparing or supporting journal entries, accruals, and quarter-end close processes 
 
SQL experience preferred (or strong willingness to learn); comfort working with data is required 
 
Excellent written and verbal communication skills, including the ability to craft and present materials to senior leadership 
 
Detail-oriented while maintaining the ability to step back and focus on the big picture trends and key business levers 
 
Ability to work independently and manage multiple priorities in a fast-paced, evolving environment 
 
Minimum Qualifications 
 
6+ years of experience, preferably in FP&amp;A or Ad Sales Finance within AdTech, Sports, or Media/Entertainment 
 
Bachelor&rsquo;s Degree in Finance, Accounting, Business Administration or relevant field 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Analyst, Revenue Planning & Analysis - Video & Media Ads

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. 
 
We are currently seeking an experienced and influential Data Science Leader to grow the AIML Data Operations Annotations Analytics team and function. This position will lead a team of data engineers and scientists to establish top-line health metrics, identify key growth drivers, and recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses. 
 
Description 
 
The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;Establish a center of excellence for Data Operations Data Science team by uncovering business-actionable insights in collaboration across our customer groups as well as the Operations team. 
 
Oversee large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives. 
 
Establish, enhance, and socialize key operational metrics that accurately represent the business state of health. 
 
Lead proactive analyses identifying key drivers of metrics, and make recommendations that optimize performance. 
 
Develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower relevant stakeholders. 
 
Draft schema and instrumentation requirements to enrich operational datasets for new projects, etc. 
 
Identify key factors that lead to improving productivity and quality. 
 
Build a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and engagement. 
 
Develop, recruit, and train a diverse team of high-performing data engineers and scientists focused on uncovering insights from large-scale data across all aspects of the operation. 
 
Preferred Qualifications 
 
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations 
 
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization 
 
Experience in managing data science or analytics teams in AI &amp; ML annotations and collections areas. 
 
Passion for AIML and Operations, with a consistent track record of operational results. 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
4+ years of experience in managing data science, analytics, or data operations teams 
 
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals 
 
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization 
 
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages 
 
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $176,600 and $313,500, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Science Leader, AIML Data Operations

As a Commodity Finance Analyst, you will play a critical role in managing Apple's commodity costs, ensuring accurate financial reporting, and supporting strategic decision-making within the Worldwide Procurement Finance team. You will be responsible for forecasting commodity prices, analyzing variances, and collaborating with operations and supply chain teams to optimize costs and mitigate risks in a dynamic global market. Your insights will directly impact Apple's profitability and strategic sourcing decisions. 
 
Description 
 
The Worldwide Procurement Finance group is a critical function that provides analytical support for key cost data, including standard costs, forecasted costs, and actual costs for Apple's extensive range of commodities. As a Commodity Finance Analyst, you will report to the Manager of Commodity Financial Management and will be responsible for some specific commodities or categories. You will work with minimal direct supervision, performing a variety of complex and non-routine tasks that directly impact Apple's gross margin and profitability. This role offers the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to Apple's continued success. Our team is highly collaborative and values innovation and continuous improvement. 
 
&quot;,&quot;responsibilities&quot;:&quot;Preparation of key commodity forecasts used in monthly purchase price variance forecast and gross margin analysis. 
 
Provide support and guidance to operations personnel as issues arise related to the supply chain or business processes. 
 
Reconciliation of actual costs to forecasted costs for key commodities supply chain analysis for key commodities to identify major drivers in cost changes for key commodities. 
 
Reconciliation and analysis of Apple supply chain data to contract manufacturer and supplier data. 
 
Preparation of quarter-end accounting entries necessary for accurately representing the cost of key commodities in the financial statements. 
 
Manage ad hoc requests related to the supply chain business process reengineering. 
 
Effectively handle ambiguity and uncertainty. 
 
Drive for excellence with detail orientation. 
 
Preferred Qualifications 
 
Excellent oral and written communication, interpersonal, and presentation skills. 
 
Strong analytical and problem-solving skills at both macro and micro levels. 
 
Experience with SAP or other ERP systems. 
 
Operations and Supply Chain Finance experience. 
 
Experience with data analysis and visualization tools (e.g., Tableau, Power BI). 
 
Experience in preparing key commodity forecasts used in monthly purchase price variance forecast and gross margin analysis. 
 
Experience in reconciliation and analysis of Apple supply chain data to contract manufacturer and supplier data. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in accounting, finance, or related field of study. 
 
3-5 years of related finance/accounting experience, ideally with a focus on commodity finance, supply chain finance, or cost accounting. 
 
Proven knowledge of Excel. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
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 $110,500 and $166,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Commodity Financial Analyst

Explore 66+ Business analyst in Cupertino this March. Find roles across top companies and apply now to boost your career.