analyst, solutions management Jobs in San Francisco

analyst, solutions management

applied scientist

business analyst, operations & strategy Jobs in San Francisco

business analyst, operations & strategy

data analyst, gtm

data analyst, mapping Jobs in San Francisco

data analyst, mapping

analyst

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Financial Analyst, Capital Markets (Multifamily)<p></p><p><b>
Job Description Summary</b></p>
Position Summary: The Capital Markets Financial Analyst (&ldquo;CMFA&rdquo;) Hub Analyst will support transactions generated by Cushman &amp; Wakefield&rsquo;s Investment Sales brokerage services specializing in multifamily investments. The primary role of the CMFA will be to perform financial analysis activities of pricing, Excel valuation model creation and auditing, due diligence collection and review, market data collection, and translating analysis findings into high-level summaries with oversight from senior members of the Multifamily Advisory Group (&ldquo;MAG&rdquo;).
<br>
The ideal candidate will be based in San Franscisco and available to work on-site in a local Cushman &amp; Wakefield office. Team members may be expected to work outside normal operating hours to meet project deadlines.<p><b>
Job Description</b></p><p><b>
Essential Duties</b></p><ul><li>
Support the execution of MAG Broker team financial analysis and valuation modeling requests, including scenario analyses</li><li>
Prepare pro forma statements, discounted cash flow analyses, and Excel-based financial models with consideration of market conditions (both current historical)</li><li>
Conduct audits of existing financial models for accuracy of model inputs and validity of assumptions</li><li>
Perform extensive research, including but not limited to, reviewing and analyzing financial reports, studying comparable properties, collect information on the immediate area (demographics) and overall market; synthesize findings in a clear, concise manner</li><li>
Develop high-level analysis summaries by identifying transaction considerations (strengths/weaknesses), trends, outliers, and logical inconsistencies</li><li>
Assist with the drafting and preparing of Offering Memorandums, Broker Opinion of Value, and/or Request for Proposals</li><li>
Communicate professionally to clients in the execution phase of the sales process (including assisting with Marketing Timelines, Scheduling Tours, Weekly Activity Reports, etc.)</li><li>
Demonstrates continual development of cash flow and Excel-modeling skills and competencies. Deliverables will increase in complexity and scope over time in the role.</li><li>
Prepares clear concise summary documentation and spreadsheets that support and explain the basis of the analyses for use in client presentations, proposals and/or reports</li><li>
Review tenant leases to abstract key data points and identify areas of issue/concern that will have an impact on the real estate financial analysis, as applicable for mixed use opportunities</li><li>
Maintain owner database and track loan maturities for Business Development.</li><li>
Maintain rent and sales comp database</li><li>
Review analyses with deal team, answer clarifying questions and make accurate revisions</li><li>
Participation in internal and external stakeholder meetings to present and discuss their analyses</li><li>
May assist with market research of prospective transactions</li><li>
Participates in broker team calls and meetings, as needed</li><li>
Performs other related duties as required or as requested</li></ul><p></p><p><b>
Other Requirements &amp; Administrative Duties</b></p><ul><li>
Bachelor&rsquo;s Degree (Business, Finance, Accounting, Real Estate, etc.) preferred</li><li>
Combination of education without a degree and corporate work experience may be considered</li><li>
0-2 years of financial analysis and Excel modeling experience, Capital Markets and/or multifamily underwriting experience a plus</li><li>
Experience with creating or constructing discounted cash flow models in Excel</li><li>
Client-service oriented mindset with a passion for producing a high-quality work product, meeting deadlines and client expectations</li><li>
Highly proficient in Microsoft Office Suite. Advanced knowledge in Microsoft Excel a plus.</li><li>
Experience with Salesforce, and CoStar and Axiometrics market research data a plus</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Ability to write effectively and succinctly for use in marketing deliverables, or other internal stakeholders</li><li>
Good time management and organization skills</li><li>
Ability to balance and prioritize multiple priorities in a high-volume, fast-paced environment</li><li>
Growth oriented mindset, desire to learn more and shares knowledge to help others succeed</li></ul><br>
<p></p>
Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.<br>
<p></p>
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications.<br>
<p></p>
The company will not pay less than minimum wage for this role.<br>
<p></p>
The compensation for the position is: $ 72,250.00 - $85,000.00<p></p>
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.<p></p><p>
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at <b>1-888-365-5406</b> or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.</p><p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Financial Analyst, Capital Markets (Multifamily)

Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
The Opportunity is where our sellers live: it's the center of gravity for pipeline, forecasting, and how leadership reads the business. This role owns how Anthropic's core sales motion is represented in Salesforce: how deals are tracked, how pipeline is managed, how the sales team itself is structured and credited in system, and how forecasting rolls up to leadership.</p>
<p>
We're looking for someone who operates at the intersection of three things: a strategist who can sit with sales leadership and shape how they want to understand the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code, but you'll be the named owner of the Opportunity domain and the person sales leadership calls when they want to change how the funnel works.</p>
<h2 class="jobSectionHeader"><b>
Key responsibilities</b></h2>
<ul>
<li><p>Own the design of the Opportunity lifecycle in Salesforce: stages, sales process, exit criteria, key fields, and the automation and guardrails that keep pipeline data trustworthy</p>
</li>
<li><p>Partner with sales leadership on the forecasting motion; design and iterate on native Salesforce forecasting and pipeline inspection to match how the business actually rolls up, and make the tradeoff calls on what sellers enter versus what insight that data unlocks</p>
</li>
<li><p>Partner with RevOps to systematize how the sales team is represented and credited: opportunity ownership, team selling, splits, overlays, and the territory and role structures those depend on</p>
</li>
<li><p>Operationalize the sales methodology in system, turning qualification frameworks and stage discipline into fields, validation, scoring, and in-context guidance that sellers actually use</p>
</li>
<li><p>Own account planning and whitespace as part of the core sales motion: how account plans, coverage, and opportunity identification are captured and connected to pipeline</p>
</li>
<li><p>Act as data-model steward for Opportunity and its closest neighbors: the named approver for new fields, automation, and integrations touching the object, and the keeper of why each one exists</p>
</li>
<li><p>Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification</p>
</li>
<li><p>Own the seams to adjacent domains (quote-to-cash, partner attribution, renewals, lead handoff) so the seller experience is coherent end to end even where the build sits with another team</p>
</li>
<li><p>Evaluate and configure tooling that accelerates in-pipeline work: deal inspection, activity capture, mutual action plans, guided selling</p>
</li>
<li><p>Run discovery, UAT, enablement, and adoption measurement for everything you ship; set the bar for how BSA work is done on this team</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Minimum qualifications</b></h2>
<ul>
<li><p>Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of the Opportunity, pipeline, and forecasting domain</p>
</li>
<li><p>Experience designing and rolling out an Opportunity stage model, sales methodology, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption</p>
</li>
<li><p>Credibility with sales leaders: you've been in the forecast call, you understand pipeline coverage, conversion, slippage, and commit, and you can push back on a VP when there's a better answer</p>
</li>
<li><p>Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, page and Path design, forecasting setup) and specs that make the handoff to developers clean</p>
</li>
<li><p>Crisp communication across sellers, sales leadership, RevOps, and engineers, adjusting altitude for each</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Preferred qualifications</b></h2>
<ul>
<li><p>8+ years of experience in GTM/Revenue systems roles</p>
</li>
<li><p>Salesforce Administrator certification</p>
</li>
<li><p>Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification</p>
</li>
<li><p>Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, splits, overlays, territory) and turning those decisions into working system design</p>
</li>
<li><p>Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus</p>
</li>
</ul></div><div><div><div><div><p>The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$270,000 - $310,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Business System Analyst Lead, Opportunity Acceleration

Data Scientist, Product Analytics

Ennoble Care

<div><div><p><b>About Us</b></p>
<p>
Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, &quot;To Care is an Honor.&quot; Join Ennoble Care today!</p></div><h3 class="jobSectionHeader"><b>
Position Overview</b></h3>
<p>
We are seeking an experienced Actuary (5+ years of experience) for our value-based care (VBC) team. This role requires a seasoned professional in <b>medical economics, actuarial, or equivalent data analytics experience</b> who can navigate the complex landscape of Medicare risk models, value-based care arrangements, and population health analytics. The ideal candidate will play a critical role in optimizing our organization's performance under CMS total cost of care models while ensuring sustainable financial outcomes. Candidates will ideally have their ASA certification or have passed at least the first three exams.</p>
<p>
This role is currently scoped as an individual contributor, with a growth trajectory toward leadership over time.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<h4 class="jobSectionHeader"><b>Data Management &amp; Medicare Analytics</b></h4>
<ul><li>Analyze VBC performance under various CMS and CMMI total cost-of-care models.</li>
<li>Monitor and forecast financial performance across assigned patient populations.</li>
<li>Conduct comprehensive claims analysis using CCLF (Claims and Claims Line Feed) and BCDA (Beneficiary Claims Data API) datasets.</li>
<li>Refine key reporting and projection methodologies, including IBNR and Risk Score projections.</li>
<li>Process and analyze large healthcare datasets, combining multiple data sources including EHR systems and Medicare claims data.</li>
<li>Ensure data quality and integrity across all analytical processes.</li>
<li>Develop and maintain SQL-based data structures to support population experience studies and VBC program analytics.</li>
</ul><h4 class="jobSectionHeader"><b>Business Intelligence &amp; Reporting</b></h4>
<ul><li>Create fit-for-purpose analytical reports that translate complex actuarial findings into actionable business insights.</li>
<li>Develop executive dashboards and performance metrics aligned with organizational strategic goals.</li>
<li>Present findings and recommendations to leadership teams and clinical stakeholders.</li>
<li>Support budget planning and financial forecasting processes.</li>
</ul><h4 class="jobSectionHeader"><b>Regulatory Compliance &amp; Process Improvement</b></h4>
<ul><li>Stay current with evolving CMS and CMMI program requirements and quality measures.</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<h4 class="jobSectionHeader"><b>Education &amp; Certification</b></h4>
<ul><li>Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, or related quantitative field</li>
<li>ASA credentials preferred for Actuarial candidates</li>
</ul><h4 class="jobSectionHeader"><b>Experience Requirements</b></h4>
<ul><li>Strong healthcare data analytics experience in Medicare-focused or Medicare Advantage environments (5+ years of experience)</li>
<li>Thorough understanding of and hands-on experience with Medicare risk adjustment and CMS-HCC models</li>
<li>Experience working with CMS and CMMI total cost of care (ACO) programs</li>
<li>Proven track record spearheading claims analytics using Medicare claims data</li>
<li>In-depth knowledge of healthcare billing processes from both provider and CMS perspectives</li>
</ul><h4 class="jobSectionHeader"><b>Technical Proficiency</b></h4>
<ul><li>Advanced proficiency in Microsoft Excel and model building</li>
<li>Strong SQL skills with the ability to write complex queries</li>
<li>Experience with the Microsoft Azure cloud platform and related analytics tools preferred</li>
<li>Experience with integrating data across multiple large, nuanced data sources (e.g., integration of EHR data with claims datasets)</li>
<li>Experience developing/integrating AI-forward workflows into analytics</li>
</ul><h4 class="jobSectionHeader"><b>Core Competencies</b></h4>
<ul><li>Exceptional analytical and problem-solving capabilities</li>
<li>Strong business acumen with the ability to translate technical findings into strategic recommendations</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Proven team player with a collaborative approach to cross-functional projects</li>
<li>Demonstrated capability to understand and respond to evolving business needs</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Compensation</b></h4>
<ul><li>The salary range is $150- 170k with a $30- 40k bonus range</li></ul><p></p><div><p><b><br>
Full-time employees qualify for the following benefits:</b></p>
<ul>
<li>Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.</li>
<li>Paid Time Off</li>
<li>Paid Office Holidays</li>
</ul>
<p><b>All employees qualify for these benefits:</b></p>
<ul>
<li>Paid Sick Time</li>
<li>401(k) with up to 3% company match</li>
<li>Referral Program</li>
<li>Payactiv: pay-on-demand. Cash out earned money when and where you need it!</li>
</ul>
<p><b>Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.</b></p>
<p><i>
Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against </i><i>protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national </i><i>origin, religion, disability, and veteran status.</i></p></div></div>

Actuary – Value-Based Care

HARVEY

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Product</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$155K &ndash; $260K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div><p><i>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></p></div></div></div>
<br><div><h1 class="jobSectionHeader"><b>Why Harvey</b></h1>
<p>At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p>
<p>This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p>
<p>Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.</p>
<p>At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p>
<p></p><h1 class="jobSectionHeader"><b>Role Overview</b></h1>
<p>As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment.</p>
<p>This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.</p>
<p></p><h1 class="jobSectionHeader"><b>What You'll Do</b></h1>
<ul><li><p>Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.</p>
</li><li><p>Define and maintain core metrics that create a shared understanding of product performance and customer value.</p>
</li><li><p>Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.</p>
</li><li><p>Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.</p>
</li><li><p>Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.</p>
</li><li><p>Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.</p>
</li><li><p>Translate complex analyses into clear recommendations for technical, business, and executive audiences.</p>
</li><li><p>Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.</p>
</li><li><p>Establish the standards, practices, and culture for Product Data Science at Harvey.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>What You Have</b></h1>
<ul><li><p>5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.</p>
</li><li><p>A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.</p>
</li><li><p>Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.</p>
</li><li><p>Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.</p>
</li><li><p>Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.</p>
</li><li><p>Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.</p>
</li><li><p>Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.</p>
</li></ul><p><b>Bonus</b></p>
<ul><li><p>Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.</p>
</li><li><p>Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.</p>
</li><li><p>Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.</p>
</li><li><p>Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>Compensation</b></h1>
<p>$155,000 - $260,000</p>
<p></p><h3 class="jobSectionHeader"><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [</b><b>here</b><b>].</b></h3>
<p></p><p>#LI-SB1</p>
<p></p><p><i>Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p>
<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Data Scientist, Product

Notion

<div>
 Who We Are
 <br/>
 <br/>
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 <br/>
 <br/>
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As Notion scales, there is a unique opportunity to build the data foundations for People Analytics that enable better decisions around hiring, performance, compensation, and org design - while maintaining strong privacy guarantees for sensitive employee data.
 <br/>
 <br/>
 In this role, you will design, build, and operate scalable data systems and pipelines that power People data. Your work will ensure that employee data is reliable, secure, and production-ready, enabling both analytics and AI-driven people workflows across the company.
 <br/>
 <br/>
 This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We&rsquo;re looking for someone who&rsquo;s excited to work alongside the team during those days.
 <br/>
 <br/>
 What You'll Achieve
 <br/>
 <br/>
 <ul>
  <li>
   Partner closely with the Chief People Officer and People leadership team to translate strategic questions into clear metrics and data products that inform workforce planning, organization design, performance reviews, compensation discussions, and executive reporting
  </li>
  <li>
   Define and build ETL/ELT pipelines and infrastructure to ingest and standardize data from HRIS and adjacent systems such as Workday, ATS, payroll, benefits, performance platforms, creating a reliable source of truth for headcount, org structure, hiring, attrition, and talent health
  </li>
  <li>
   Design privacy-first data architecture, including access controls, PII handling, and governance standards
  </li>
  <li>
   Implement data quality, testing, and observability systems to ensure sensitive employee data is accurate and trustworthy
  </li>
  <li>
   Design privacy-aware data models, transformations, semantic layers, and quality checks so sensitive employee data is accurate, timely, well-documented, and governed appropriately with role-based access controls for decision-making and makes AI-powered people tools and automations reliable enough to ship to production
  </li>
  <li>
   Partner with People Analytics to translate ambiguous requirements into scalable datasets, dashboards, and self-serve data products that give People leaders, People Partners, and managers visibility into workforce trends while reducing manual overhead.
   <br/>
   <br/>
  </li>
 </ul>
 Skills You'll Need to Bring
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 <ul>
  <li>
   6+ years of experience in analytics engineering, data engineering, people analytics, or a closely related role, with a track record of building trusted datasets and systems for business decision-making
  </li>
  <li>
   Hands-on experience working with HRIS and adjacent People systems data (for example Workday, ATS (Ashby), payroll, benefits, performance, or engagement platforms) and know how to reconcile definitions across messy, evolving source systems
  </li>
  <li>
   Proficiency in SQL and data modeling, and can build production-grade transformations, define durable metric logic, and write performant queries against large analytical datasets
  </li>
  <li>
   Proficiency in Python (or similar OOP languages) for building data pipelines, automation, and infrastructure
  </li>
  <li>
   Experience designing systems with data quality, testing, monitoring, and SLAs in mind
  </li>
  <li>
   Experience with modern data tooling and cloud warehouses such as Snowflake, dbt, Airflow, Fivetran, or similar technologies, along with strong instincts around testing, monitoring, and data quality
  </li>
  <li>
   Excellent judgment with sensitive and confidential data, and can implement infrastructure and tooling for data privacy, access controls, governance, and thoughtful interpretation of people metrics
  </li>
  <li>
   Effectiveness in partnering directly with the CPO, People Partners, Finance, and business leaders to turn ambiguous questions into scoped solutions and clearly communicated insights
  </li>
  <li>
   Ability to leverage AI and agent-based tools to accelerate development, while defining guardrails for safe, production-grade data workflows
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Haves
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 <ul>
  <li>
   You have worked at a fast-growing start-up, a SaaS company or are eager to contribute in such an environment (being a current Notion user would be great!)
   <br/>
   <br/>
  </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $213,000 to $250,000
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 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
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 <br/>
 A Note on AI
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 <br/>
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 <br/>
 <br/>
 Equal Opportunity &amp; Accommodations
 <br/>
 <br/>
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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</div>


Data Engineer, People Analytics

Dolby

<div><div><div><div><div><div><div>Job description
 </div><div></div><p>Company and benefits</p> <p>Social Impact &amp; Sustainability</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>41565</div>
</div></div><div><div><p>Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits.</p>
<p>For this high functioning team, the nature of the work benefits from frequent in-office presence, and employees may be expected to work from a company office up to four days per week. While we remain committed to flexibility, this team&rsquo;s rhythm includes regular in-person connection to support collaboration, learning, and impact.</p>
<p>For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!</p>
<p>The <b>Legal </b>Department provides core legal support to all Dolby functions, runs several IP-centric businesses, and leads government relations.</p>
<div><div><p>We are looking for an intern to join our Business Planning &amp; Operations group within the Legal organization. In this role, you will support cross-functional teams including the Patent Licensing business, Global Dispute Resolution group, and IP Protection group. Working within the Business Operations group, you will contribute to process optimization and automation efforts while collecting, processing, and synthesizing large datasets into compelling market insights.
</p></div><div><p><b>Key Responsibilities</b></p>
</div><div><p><b>Data Analysis &amp; Insights</b></p>
</div><div><ul><li><p>Collect, clean, and analyze large datasets to identify patterns and trends in the consumer electronics market.</p>
</li></ul></div><div><ul><li><p>Consolidate data from multiple sources into clear, meaningful summaries that inform strategic business decisions.</p>
</li></ul></div><div><ul><li><p>Build and maintain dashboards and reports to track key performance indicators and market movements.</p>
</li></ul></div><div><ul><li><p>Present findings to stakeholders in a concise and actionable format.</p>
</li></ul></div><div><p><b>Market Research</b></p>
</div><div><ul><li><p>Conduct in-depth primary and secondary research on consumer electronics industry trends, competitor activity, and emerging technologies.</p>
</li></ul></div><div><ul><li><p>Monitor market developments and synthesize information into periodic research briefs and newsletters.</p>
</li></ul></div><div><ul><li><p>Evaluate competing products, tools, and technologies to support strategic planning and business development.</p>
</li></ul></div><div><p><b>Process Optimization &amp; Automation</b></p>
</div><div><ul><li><p>Support the identification and implementation of process improvements across Business Operations workflows.</p>
</li></ul></div><div><ul><li><p>Assist in designing and deploying automation solutions to streamline repetitive tasks and increase team efficiency.</p>
</li></ul></div><div><ul><li><p>Document existing processes and collaborate with stakeholders to develop optimized workflows and standard operating procedures.</p>
</li></ul></div><div><ul><li><p>Leverage AI tools and automation platforms to enhance productivity across the Global Dispute Resolution, IP Protection, and Patent Licensing teams.</p>
</li></ul></div></div><div><div><p><b>Data Management &amp; Systems Support</b></p>
</div><div><ul><li><p>Support the extraction, transformation, and loading (ETL) of data into visualization and reporting platforms.</p>
</li></ul></div><div><ul><li><p>Assist in maintaining and improving CRM data quality and workflows in Salesforce.</p>
</li></ul></div><div><ul><li><p>Collaborate with cross-functional teams to ensure data integrity and consistency across systems.</p>
</li></ul></div><div><p><b>Qualifications</b></p>
</div><div><p><b>Required</b></p>
</div><div><ul><li><p>Strong analytical mindset with attention to detail and a passion for turning raw data into actionable insights.</p>
</li></ul></div><div><ul><li><p>Excellent written and verbal communication skills.</p>
</li></ul></div><div><p><b>Preferred Experience &amp; Skills</b></p>
</div><div><ul><li><p>Proficiency in Microsoft Excel, including pivot tables, VLOOKUP/XLOOKUP, and data modeling.</p>
</li></ul></div><div><ul><li><p>Experience with data analysis tools or programming languages (e.g., Python, R, SQL).</p>
</li></ul></div><div><ul><li><p>Familiarity with AI agents, automation tools, or large language model (LLM) applications.</p>
</li></ul></div><div><ul><li><p>Exposure to CRM platforms, particularly Salesforce.</p>
</li></ul></div><div><ul><li><p>Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.</p>
</li></ul></div><div><ul><li><p>Prior coursework or project experience in market research, business analysis, or consumer behavior.</p>
</li></ul></div><div><p><b>Eligibility:</b></p>
</div><div><p>Working towards a Bachelor's degree or Master&rsquo;s degree in Business, Economics, Data Science, Statistics, Computer Science, or a related field; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday &ndash; Friday for 3 months between September 2026- December 2026.</p>
</div><div><p>Start dates for the internship are as follows: (*note* this date is not flexible)</p>
</div><div><ul><li><p>September 21, 2026</p>
</li></ul></div></div><p>The San Francisco/Bay Area base hourly range for this internship position is $33-38/hr and can vary if outside of this location. Our hourly 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 hourly range and perks and benefits for your location during the hiring process.</p></div></div></div></div></div></div></div>

Market Research & Data Analytics Intern

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