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Contractual Learning Analytics Jobs in Novato, CA

A learning mindset and comfort operating in the gray. * Ability to communicate with business ... Experience in data analytics/data science or a background in technology or engineering. * IAPP ...

A learning mindset and comfort operating in the gray. * Ability to communicate with business ... Experience in data analytics/data science or a background in technology or engineering. * IAPP ...

... contractual arrangements that will support and drive Hive's continued growth within the AI industry ... Provide legal analyses of applicable laws, regulations and industry guidance, particularly in areas ...

A learning mindset and comfort operating in the gray. * Ability to communicate with business ... Experience in data analytics/data science or a background in technology or engineering. * IAPP ...

... contractual arrangements that will support and drive Hive's continued growth within the AI industry ... Provide legal analyses of applicable laws, regulations and industry guidance, particularly in areas ...

... analysis drive technical controls and contractual requirements. • Build detection logic and ... forming, and learning on the job is part of the work. Preferred : • You've built a vendor ...

We are committed to our staff growing, trying new things, and learning all that they can. Our rapid ... Financial and Contractual, Sanitation and Food Safety, and Human Resources Yearly audits Preferred ...

Showing results 41-60

Contractual Learning Analytics information

See Novato, CA salary details

$55.2K

$95.5K

$215.4K

How much do contractual learning analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for contractual learning analytics in Novato, CA is $95,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $104,500.00 per year, depending on experience, location, and employer.

What is contractual learning analytics?

Contractual Learning Analytics refers to the use of data analysis and measurement tools to evaluate the effectiveness of educational programs as defined within a specific contract or agreement. Professionals in this field collect, interpret, and report on learning data to ensure that educational outcomes meet the expectations outlined in learning contracts, such as those between educational institutions and third-party providers. They focus on metrics like student performance, engagement, and satisfaction, providing evidence-based insights to inform decision-making and contract fulfillment. This role often requires collaboration with educators, administrators, and technology specialists to optimize learning experiences and demonstrate value.

What are the key skills and qualifications needed to thrive as a contractual learning analytics professional?

To thrive as a Contractual Learning Analytics professional, you need strong analytical skills, experience with educational data, and typically a degree in data science, education, or a related field. Proficiency in learning management systems (LMS), data visualization tools like Tableau or Power BI, and statistical software such as R or Python is often required. Excellent communication, problem-solving abilities, and adaptability help in interpreting data insights and collaborating with stakeholders. These skills are crucial for driving data-informed decisions that enhance educational outcomes and meet organizational goals.

What are some common challenges faced in a contractual learning analytics role, and how can they be managed?

In a contractual learning analytics role, one frequent challenge is quickly adapting to different organizational cultures and data systems, as each contract may involve unique platforms and reporting requirements. Effective communication with instructional designers and educators is essential to ensure analytics align with learning objectives. Managing time efficiently to deliver actionable insights within tight deadlines is also crucial. Building a strong rapport with stakeholders at the start of each contract and maintaining flexibility in analytical approaches can help overcome these challenges and contribute to successful project outcomes.

What is the difference between Contractual Learning Analytics vs Data Analyst?

AspectContractual Learning AnalyticsData Analyst
CredentialsTypically requires degrees in education, data science, or related fields; certifications in analytics or learning technologiesRequires degrees in statistics, mathematics, or related fields; often certifications in data analysis tools
Work EnvironmentEducational institutions, e-learning companies, or corporate training providersVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed by educational organizations to improve learning outcomes and curriculum designUsed across industries to interpret data, inform business decisions, and optimize processes

Contractual Learning Analytics focuses on analyzing educational data to enhance learning experiences, often within educational or training settings. Data Analysts have a broader scope, working across multiple industries to interpret data for strategic decision-making. While both roles require strong analytical skills, their specific applications and environments differ significantly.

What job categories do people searching Contractual Learning Analytics jobs in Novato, CA look for?

The top searched job categories for Contractual Learning Analytics jobs in Novato, CA are:

What cities near Novato, CA are hiring for Contractual Learning Analytics jobs?

Cities near Novato, CA with the most Contractual Learning Analytics job openings:

Corporate Counsel, Product Privacy

Intuit

Oakland, CA • On-site

$196K - $265K/yr

Full-time

Re-posted 6 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

108th of 246 rated software companies


Job description

Come join our amazing team of leaders, learners, and world-class legal professionals accelerating Intuit's mission of powering prosperity for consumers and small businesses all over the world. Our Data Privacy team works hand in hand with our business partners to develop cutting edge products that use technology to both add value to our customers and uphold Intuit's Data Stewardship Principles.

Intuit is hiring a Corporate Counsel, Product Privacy to support high-impact privacy work spanning Consumer Group, tax privacy, and key product areas including Money, Mid-Market, and Intuit Services. You'll help teams design and launch customer experiences that are transparent, intuitive, and compliant-while advancing Intuit's Data Stewardship Principles.

As Product Privacy Counsel, you will report to a Product Privacy leader and partner with stakeholders across Intuit to drive pragmatic, product-forward solutions that enable innovation and protect customer trust and brand equity.


Responsibilities

  • Provide practical, product-focused counseling to teams building consumer and business experiences across tax, money, mid-market, and Intuit Services.
  • Embed privacy into product development by partnering with Product, Design, Engineering, Data Science/Analytics, Security, and Marketing from early concept through launch.
  • Advise on privacy-by-design controls including data minimization, purpose limitation, transparency, and customer choice.
  • Support privacy requirements tied to tax and financial data handling, including advising on tax return information confidentiality (e.g., IRC 7216 and related rules) and related internal governance expectations.
  • Help teams navigate privacy implications of sensitive data, identity verification, and customer support/service journeys that touch regulated datasets.
  • Counsel on customer-facing disclosures and UX patterns (e.g., just-in-time notices, consent flows, preference centers, permissioning, and in-product education) to ensure experiences are clear, consistent, and defensible, and to reduce "dark pattern" risk.
  • Conduct and document privacy impact assessments and provide launch guidance, including risk framing, mitigations, and durable decision records.
  • Support data sharing and ecosystem questions (first/third-party, vendors, partners, internal platform services), including governance and contractual expectations (in partnership with commercial counsel as needed).
  • Build and improve scalable tools-templates, playbooks, intake paths, and training-to help product teams move faster with confidence.
  • Establish strong working relationships with key stakeholders and drive alignment across competing points of view to reach practical outcomes.
  • Contribute toward the communication of the Privacy Team's mission and vision to internal partners and stakeholders.

Qualifications

  • 4+ years of relevant legal experience (in-house and/or at a law firm).
  • Strong working knowledge of relevant data privacy laws in the US (e.g., CCPA/CPRA, other state privacy laws, GLBA, etc.).
  • Ability to coordinate cross-functionally, and with outside counsel in domestic and international markets, on issues related to data privacy, product design and functionality, transactional issues, and other technology initiatives.
  • Proven ability to translate complex legal requirements into forward-looking and actionable policies, frameworks and guidelines.
  • Ability to engage in and document detailed analysis of data-driven products to understand and assess privacy and other legal risks.
  • A learning mindset and comfort operating in the gray.
  • Ability to communicate with business partners about regulatory obligations, risk management processes and drive change.
  • Concise and efficient communicator.
  • JD and membership in good standing with at least one US State Bar.


Preferred Qualifications:

  • Experience supporting tax, fintech/money movement, lending-adjacent products, or other regulated data environments.
  • Familiarity with international privacy requirements (e.g., GDPR/ePrivacy, PIPEDA).
  • Familiarity with Privacy Enhancing Technologies (PETs) and their application in product development, data governance, and data sharing arrangements.
  • Experience in data analytics/data science or a background in technology or engineering.
  • IAPP Privacy certification (CIPP or CIPT) preferred, but not required.

Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
New York $196,500 - $265,500
New York $196,500- $265,500
Oakland, CA $198,500- $268,500
San Diego, CA $191,000- $258,500Employment Type: Full-Time

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