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Data Analyst
Weights and Biases San Francisco, CA
$115k-150k (estimate)
Full Time | Business Services 1 Month Ago
Save

Weights and Biases is Hiring a Data Analyst Near San Francisco, CA

At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

You will collaborate with Data Scientists, Machine Learning Engineers, and Product Engineers to understand our business through data and analytics. Through this role you will have frequent opportunities to partner with decision-makers across the business to perform key analysis, build robust reporting, and unblock the business by answering questions via our data. Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.

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Responsibilities

  • Collaborate across the business to create a collective understanding of the business and product. Create observability into our users and build a collective understanding of our business and product.
  • Pair with our Data Engineers to expand and improve our data models in our warehouse.
  • Pair with our Data Scientists to apply and improve our statistical models for growth, churn, and other key business dynamics.
Requirements
  • Experience in one of the following domains: SaaS startups, B2B Marketing, and/or the AI market.
  • Strong analytical and statistical intuition.
  • History of writing succinct and impactful reports and analysis.
  • History of writing easy-to-follow SQL and effective documentation for your projects.
  • Basic knowledge of data orchestration / data pipeline tools (dbt, dagster, airflow, etc).
  • Theoretical or practical understanding of machine learning workflows and terminology.
  • Theoretical or practical understanding of web apps and best practices for logging and event instrumentation.
Our Benefits
  • 🏝️ Flexible time off
  • 🩺 Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture with in-office flexibility in San Francisco
  • 💵 Home office budget with a new high-powered laptop
  • 🥇 Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave (U.S. specific)
  • 📈 401(k) (U.S. specific)
  • Supplemental benefits may be available depending on your location
  • Explore benefits by country
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We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

#LI-Remote

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$115k-150k (estimate)

POST DATE

03/22/2024

EXPIRATION DATE

05/21/2024

WEBSITE

wandb.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

<25

FOUNDED

2017

TYPE

Private

CEO

OTIS LANDERHOLM

REVENUE

<$5M

INDUSTRY

Business Services

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Weights & Biases develops machine learning tools that allow users to track and optimize hyperparameters and system metrics for businesses.

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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