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A R Analyst Jobs in Hayward, CA (NOW HIRING)

Senior Data Analyst

Fremont, CA ยท On-site

$94K - $119K/yr

... a retail environment โ€ข Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. โ€ข Experience with visualization tools like Looker, MicroStrategy VI, Power BI, SAS-VA, Tableau ...

... R for data analysis, modeling, and automation. * Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics. * Experience with A/B testing ...

Design and read experiments (A/B tests, holdouts) to prove causal impact * Perform hands-on analysis using SQL and Python/R to produce clear, decision-ready insights * Build trusted reporting, metric ...

Data Analyst

San Francisco, CA ยท On-site

$104K - $184K/yr

Work with SQL, Python, or R to extract, analyze, and manipulate data. * Collaborate with product managers, engineers, and marketing teams to provide data-driven insights . * Conduct A/B testing and ...

Finance Manager

Emeryville, CA ยท On-site

$125K - $150K/yr

Manage accounting operations related to A/R, A/P, Customer's Fees, and Inventory Accounting ... Strong analytical, problem solving, negotiation, interpersonal and communication skills. Act as a ...

About the role CelebriOS is looking for a Data Analyst to transform business data into clear ... Experience with Python or R. * Familiarity with data warehouses and analytics engineering.

About the role CelebriOS is looking for a Data Analyst to transform business data into clear ... Experience with Python or R. * Familiarity with data warehouses and analytics engineering.

Data Analyst

Fremont, CA ยท On-site

$60K - $70K/yr

Job Summary Aaratech Inc. is seeking a Data Analyst - Retail & E-Commerce to support business ... Basic knowledge of Python or R for data analysis. * Experience working with large datasets and SQL ...

Data Analyst

Alameda, CA ยท On-site

$60K - $70K/yr

Job Summary Aaratech Inc. is seeking a Data Analyst - Retail & E-Commerce to support business ... Basic knowledge of Python or R for data analysis. * Experience working with large datasets and SQL ...

Showing results 21-40

A R Analyst information

See Hayward, CA salary details

$35.5K

$84K

$149K

How much do a r analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for a r analyst in Hayward, CA is $83,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $99,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an accounts receivable (A/R) analyst, and why are they important?

To thrive as an Accounts Receivable Analyst, you need a solid grasp of accounting principles, data analysis, and financial reporting, typically supported by a degree in finance, accounting, or a related field. Familiarity with ERP systems (like SAP or Oracle), Microsoft Excel, and financial management software is commonly required. Strong attention to detail, problem-solving skills, and effective communication help A/R Analysts resolve discrepancies and collaborate with clients and internal teams. These abilities are vital to ensure accurate cash flow management, minimize bad debt, and support financial health within an organization.

What is an A R analyst?

An A R Analyst, or Accounts Receivable Analyst, is a financial professional responsible for managing and analyzing a company's incoming payments and outstanding invoices. They ensure that clients pay their bills on time, monitor accounts for discrepancies, and may communicate with customers to resolve payment issues. Their role is crucial for maintaining healthy cash flow and accurate financial records within an organization.

What are some common challenges an accounts receivable (A/R) analyst faces, and how can they address them?

A/R Analysts often encounter challenges such as delayed payments from clients, discrepancies in invoices, and managing large volumes of transactions. To address these issues, effective communication with clients and internal teams is essential, as is a strong attention to detail when reconciling accounts. Utilizing up-to-date accounting software and following up promptly on overdue accounts can also help improve cash flow and minimize errors. Collaborating closely with sales and customer service teams ensures that any disputes or misunderstandings are resolved efficiently, supporting overall financial health.

What is the difference between A R Analyst vs Accounts Payable Specialist?

AspectA R AnalystAccounts Payable Specialist
Primary RoleManages accounts receivable, processes customer payments, and ensures timely collectionHandles vendor invoices, processes payments, and manages outgoing bills
Required SkillsFinancial analysis, data entry, communication skillsAttention to detail, invoice processing, accounting software proficiency
CertificationsGenerally CPA or accounting certifications beneficialOften requires basic accounting or bookkeeping certifications
Work EnvironmentOffice setting, finance or accounting departmentsOffice setting, finance or accounting departments

Both A R Analysts and Accounts Payable Specialists work within finance departments, but their focus differs. A R Analysts primarily manage incoming payments and customer accounts, while Accounts Payable Specialists handle outgoing payments to vendors. Understanding these distinctions helps in choosing the right career path or job search focus.

What cities near Hayward, CA are hiring for A R Analyst jobs? Cities near Hayward, CA with the most A R Analyst job openings:
Infographic showing various A R Analyst job openings in Hayward, CA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $83,993 per year, or $40.4 per hour.

2026 PhD Residency - Physical ML & Hardware-in-the-Loop (Future of Compute)

X, the moonshot factory

Mountain View, CA โ€ข On-site

$109K - $157K/yr

Full-time

Re-posted 4 days ago


Job description

2 0 2 6 P h D R e s i d e n c y - P h y s i c a l M L & H a r d w a r e - i n - t h e - L o o p ( F u t u r e o f C o m p u t e )
Internship Mountain View, CA
Project Goal:This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). This project is aimed at moving away from simulating physics on digital chips and instead building physical machines whose dynamics ARE the computation itself, achieving a 1,000,000x improvement in useful compute per Joule.
This residency focuses on bridging the gap between physical dynamical systems and machine learning code. Instead of modeling physics in a vacuum, you will work directly with physical silicon test chips and laboratory instrumentation to make them trainable. You will build the software-to-hardware calibration pipelines that demonstrate we can train a real physical substrate to match digital baseline accuracy at a fraction of the energy cost.
How you will make 10x impact:
  • Collaborate on building robust, real-time "hardware-in-the-loop" (HIL) training pipelines that connect active silicon oscillator arrays and memristor test-boards directly to PyTorch/JAX ML frameworks.
  • Independently design and execute experimental protocols to train real physical hardware on machine learning benchmarks (e.g., MNIST, CIFAR) using physics-aware backpropagation and equilibrium propagation.
  • Perform automated, high-velocity physical measurements to characterize non-linear physical dynamics, mapping real hardware output against digital twin simulators to quantify "reality-gap" discrepancies.
  • Analyze the effect of physical device noise, ambient thermal fluctuations, and RRAM resistance drift on live training convergence, and implement software-level algorithmic mitigation strategies (e.g., noise-injection training).
  • Investigate the physical execution of sparse, post-transformer architectures (Mamba-class SSMs) directly on physical neuromorphic arrays by developing physical weight-mapping and routing schemes.
  • Develop clean, reusable software interfaces (using Python, C++, and PyVISA) to automate lab instrumentation, making real-world physical training runs as seamless and reproducible as digital software training.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded in an agile, confidential project team focused on "Monkey First" thinking-identifying and tackling critical physical risks through immediate, hands-on laboratory iteration.
  • Direct mentorship from experts in neuromorphic systems, mixed-signal test engineering, and physics-aware machine learning.
  • A collaborative environment that values technical rigor, physical measurements, and the willingness to iterate rapidly through "V0.crap" hardware setups.

What you should have:
  • Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Applied Physics, or a related STEM field.
  • Strong hands-on experience in hardware-in-the-loop (HIL) systems, laboratory automation, or writing custom software interfaces (e.g., Python, C++) to control physical instruments (oscilloscopes, parameter analyzers, source-measure units).
  • Proficiency in writing non-standard neural network training loops and custom physical simulator components in PyTorch, JAX, or C++.
  • Solid understanding of physical non-idealities (noise, drift, device-to-device variability) and how to represent them mathematically in training frameworks.
  • Ability to work in a physical laboratory environment, debug electrical setups, and rapidly prototype hardware-software interfaces.

It'd be great if you also had these:
  • Familiarity with non-volatile memory architectures (RRAM/memristors) or active analog coupled-oscillator circuits.
  • Experience in high-velocity characterization of integrated circuits or neuromorphic accelerators.

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .