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data engineer analytics technical leadership

Data Engineer, Analytics (Technical Leadership)

Uber

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.
 <br/>
 <br/>
 You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
  </li>
  <li>
   Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
  </li>
  <li>
   Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
  </li>
  <li>
   Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
  </li>
  <li>
   Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
  </li>
  <li>
   Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of experience in data engineering or backend software development.
  </li>
  <li>
   Proficiency in Python, SQL, Java, or Scala for data pipeline development.
  </li>
  <li>
   Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
  </li>
  <li>
   Data warehouse and Data Modeling experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in Web and SEO Analytics
  </li>
  <li>
   Experience in Marketing Technologies
  </li>
  <li>
   Designing and executing on Real-time and Near Real-time Systems
   <br/>
   <br/>
  </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>


Data Engineer - Growth and Marketing Platform

Handshake

<div><h1 class="jobSectionHeader"><b>About Handshake</b></h1><p>
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.</p><p>
Why join Handshake now:</p><ul><li><p>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</p></li><li><p>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</p></li><li><p>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</p></li><li><p>
Build a massive, fast-growing business with billions in revenue</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
About the Role</b><b>
</b></h1><p>Handshake is hiring an Associate Machine Learning Engineer for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.</p><p>
You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.</p><p><b>
What You'll Do</b></p><ul><li><p><b>
Innovator:</b> Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization &mdash; with guidance from senior engineers.</p></li><li><p><b>
Collaborator:</b> Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.</p></li><li><p><b>
Learner:</b> Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Desired Capabilities
</b></h1><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field</p></li><li><p>
0&ndash;2 years of experience in machine learning, data science, or a related area</p></li><li><p>
Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow</p></li><li><p>
Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation</p></li></ul><p><b>
Extra Credit</b></p><ul><li><p>
Master&rsquo;s degree or currently pursuing an advanced degree in a relevant field</p></li><li><p>
Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI</p></li><li><p>
Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)</p></li><li><p>
Experience with cloud platforms (GCP, AWS, or Azure)</p></li><li><p>
Clear communicator, able to translate technical work for diverse audiences</p></li><li><p>
Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Perks</b></h1><p>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.</p><p><b><i>
The below benefits are for full-time US employees.</i></b></p><p>
<b>Ownership:</b> Equity in a fast-growing company</p><p>
<b>Financial Wellness</b>: 401(k) match, competitive compensation, financial coaching</p><p>
<b>Family Support:</b> Paid parental leave, fertility benefits, parental coaching</p><p>
<b>Wellbeing:</b> Medical, dental, and vision, mental health support, $500 wellness stipend</p><p>
<b>Growth:</b> $2,000 learning stipend, ongoing development</p><p>
<b>Remote &amp; Office:</b> Internet, commuting, and free lunch/gym in our SF office</p><p>
<b>Time Off:</b> Flexible PTO, 15 holidays + 2 flex days</p><p>
<b>Connection:</b> Team outings &amp; referral bonuses</p><p>
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.</p><p>
Compensation Range: $115K - $144K</p></div>

Associate Machine Learning Engineer

Prolific

<div>
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
  <br/>
  <br/>
 </strong>
 <strong>
  About Prolific
  <br/>
  <br/>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  The role
  <br/>
  <br/>
 </em>
 We&rsquo;re looking for
 <strong>
  AI Trainer &ndash; Machine Learning Specialists
 </strong>
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 <strong>
  10- to 15-minute test
 </strong>
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $150/hr per AI task completed
 </strong>
 . You must be prepared to complete paid tasks that require
 <strong>
  one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 What you&rsquo;ll bring
 <br/>
 <br/>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  What you&rsquo;ll be doing in the role
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  </li>
  <li>
   Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  </li>
  <li>
   Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Key Technologies
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Model Evaluation and Evals
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
  </li>
  <li>
   Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  Links to more information on Prolific
  <br/>
  <br/>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>


AI Training - Machine Learning Specialist (PST)

University of California - San Francisco

<div><div>The Oracle Reporting Analyst is responsible for designing, developing, and maintaining reports and dashboards across Oracle Cloud ERP (and related systems) to support business decision-making. This role partners with functional teams and business stakeholders to translate requirements into effective reporting solutions, ensuring data accuracy, consistency, and usability across the enterprise. The analyst will leverage Oracle reporting tools (OTBI, BI Cloud Connector, BI Publisher, Fusion Analytics Warehouse) and other enterprise analytics platforms to meet both operational and strategic reporting needs. The ideal candidate will have a strong understanding of Oracle ERP data structures, functional business processes, and analytics best practices, coupled with technical skills in SQL, data modeling, and visualization.</div></div>

IT Business Systems Reporting Analyst

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
As the AEO and Technical SEO Manager on the Global SEO team, you are a motivated self-starter with excellent technical and collaboration skills. You are focused on diving business outcomes through AEO and Technical SEO. You will own the end-to-end strategy, execution, and measurement of: AI Engine Optimization (AEO) and AI-driven search experiences, Technical SEO health and platform foundations and Performance analytics for Global SEO and AEO.</p><p></p><p><br>
You will monitor, audit, and analyze our portfolio of sites to prioritize technical optimizations; shape our approach to AI-driven search; and build the analytics framework that connects SEO and AEO performance to business value.</p><p></p><p><br>
You will work cross-functionally with Global SEO, PLG Product, Digital Experience/WebOps, Product Marketing, Regional Performance Marketing, Analytics, Engineering, and senior leadership to execute the roadmap and scale impact globally.</p><p><br>
This position is an individual contributor role reporting to the Global SEO Director.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Own the AEO strategy for Docusign globally, defining how we show up in LLMs and other AI-powered search experiences</p></li><li><p>
Build frameworks for which queries, intents, and experiences we prioritize for AEO and related answer-engine surfaces</p></li><li><p>
Partner with Content, Product Marketing, and PLG Product to define content, schema, and UX patterns that increase visibility, reliability, and quality of our presence in AI-driven results</p></li><li><p>
Design and maintain a measurement framework for AEO (e.g., visibility, citations, traffic, share of voice, intent coverage, and downstream conversion where available)</p></li><li><p>
Track ecosystem changes (search engine guidance, AEO rollouts, AI ranking changes) and turn them into clear recommendations for the Global SEO roadmap</p></li><li><p>
Run experiments to understand which signals (content structure, schema, authority, UX) most influence our AEO presence and outcomes</p></li><li><p>
Execute comprehensive technical SEO site audits to identify and prioritize issues that impact crawlability, indexability, site architecture, internationalization, and Core Web Vitals</p></li><li><p>
Partner with Engineering, WebOps, and Platform teams to future-proof the tech stack for SEO and AEO, including automation where possible (e.g., sitemaps, canonical tags, hreflang, redirects, and guardrails in CMS/templates)</p></li><li><p>
Diagnose crawling, rendering, and indexing issues (e.g., JavaScript rendering, canonicalization, robots directives, hreflang, structured data) and provide clear, data-backed recommendations</p></li><li><p>
Maintain and refine international SEO foundations, ensuring correct language/region targeting, hreflang implementation, and localized sitemaps across priority markets</p></li><li><p>
Collaborate with Web and Product to embed SEO and AEO requirements early in discovery, design, and implementation, not just at launch QA</p></li><li><p>
Own SEO and AEO performance analytics for Global SEO: define KPIs, build and iterate dashboards, and partner with Analytics/Data to connect channel performance to PLG metrics (e.g., sign-ups, product activation, revenue proxy metrics)</p></li><li><p>
Lead regular performance reviews across markets, surfaces, and product experiences, highlighting drivers, risks, and opportunities with clear storytelling</p></li><li><p>
Design and run experiments (A/B tests, multivariate tests, holdouts) in partnership with PLG Product and Web to quantify the impact of technical and content changes</p></li><li><p>
Evaluate and communicate the incrementality and ROI of SEO/AEO initiatives to inform investment, headcount, and roadmap decisions</p></li><li><p>
Partner with Analytics to improve data quality and attribution for SEO and AEO, including tagging strategy, event design, and integration with BI/PLG analytics tools</p></li><li><p>
Translate complex technical and AI-search concepts into simple, actionable narratives for non-technical stakeholders</p></li><li><p>
Represent Global SEO and PLG in relevant working groups (e.g., growth squads, AI/ML initiatives, analytics and attribution programs)</p></li><li><p>
Build strong, trust-based relationships with Engineering, WebOps, Product, Marketing, and regional teams to ensure alignment on priorities and trade-offs</p></li><li><p>
Create and maintain documentation, playbooks, and standards for technical SEO, AEO, and SEO QA processes</p></li><li><p>
Informally mentor teammates and partners, raising the overall SEO and AEO literacy of the PLG and Marketing organizations</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
BA/BS degree or equivalent practical experience</p></li><li><p>
5+ years of SEO experience, including 3+ years with a primary focus on technical SEO for large, complex sites (multi-language, multi-region, or multi-domain)</p></li><li><p>
1+ years proven experience optimizing for AEO, preferably for a SaaS company</p></li><li><p>
AI native work experience</p></li><li><p>
Experience with technical SEO fundamentals, including: Site architecture and internal linking; HTTP status codes and 3xx/4xx/5xx handling; Canonicalization and duplicate-content management; XML sitemaps and robots.txt; Meta robots and indexing controls; JavaScript rendering and SEO implications; Hreflang and internationalization; Structured data and schema markup</p></li><li><p>
Experience with AEO/SEO tools (e.g., Google Search Console, GA/GA4, log file analysis, Screaming Frog or similar crawlers, and at least one AEO/SEO platform)</p></li><li><p>
Experience with SQL and/or BI tools (e.g., Snowflake, Looker, Tableau, or similar) to join SEO data with product, experimentation, and revenue datasets</p></li><li><p>
Demonstrated ability to turn data into clear insights and prioritized recommendations, including building dashboards and concise executive summaries</p></li><li><p>
Experience working with content management systems (e.g., Drupal, Contentful) and influencing templates/components for SEO and AIO at scale</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Strong written and verbal communication skills, with a track record of driving cross-functional alignment without direct authority</p></li><li><p>
Experience in B2B SaaS and/or product-led growth environments with complex funnels and multiple routes to value (self-serve and sales-assisted)</p></li><li><p>
Experience with AI-driven search experiences (e.g., LLMs, AI Overviews, answer engines, People Also Ask, chat-style search products) and related measurement</p></li><li><p>
Familiarity with web performance optimization and Core Web Vitals, especially on key PLG and conversion-critical templates</p></li><li><p>
Project management tools: Proven experience managing and ticketing technical SEO work streams in tools such as Jira or other project management solutions including creating and prioritizing tickets, writing clear requirements, coordinating cross-functional stakeholders, and tracking delivery through to launch</p></li><li><p>
Experience leading or supporting major technical SEO initiatives, such as site migrations, domain or architecture changes, or large-scale remediation programs</p></li><li><p>
Comfortable operating and being proactive in ambiguous, fast-changing environments, managing multiple projects simultaneously, and influencing strategy across teams</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
California: $101,500.00 - $156,750.00 base salary</div><div></div><div><br>
Illinois, Colorado, Massachusetts and Minnesota: $97,000.00 - $133,300.00 base salary</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area): $97,000.00 - $139,525.00 base salary</div><div></div><div><br>
This role is also eligible for the following:</div><ul><li>
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.</li></ul><div></div><div><p><br>
Global benefits</p>
provide options for the following:</div><ul><li>
Paid Time Off: earned time off, as well as paid company holidays based on region</li><li>
Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement</li><li>
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment</li><li>
Retirement Plans: select retirement and pension programs with potential for employer contributions</li><li>
Learning and Development: options for coaching, online courses and education reimbursements</li><li>
Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events</li></ul><div><p><b>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

AEO & Technical Search Engine Optimization Manager

<div><p>The Business Intelligence Analyst (BIA) functions as the expert for clinical informatics, Electronic Health Record (EPIC) reports and data visualization tools. The BIA has expert knowledge on the EHR applications and applies superior ability to work with reporting and data analytics customers to understand, design and document complex reporting and analytics needs and is able to coordinate all issues that arise during the reporting and data analytics assignments and projects. The business intelligence developer will analyze problems often without precedent and/or existing structure within UCSF Health and Benioff Children&rsquo;s Hospitals, and address complex problems with an organization-wide scope. The BIA will perform data analysis using independent judgment and technical expertise. This position will support the delivery of outstanding patient care, operational performance, quality, and improvement efforts to help streamline processes and decision making with a focus on EHR reporting, data analysis and visualization for UCSF Health, Benioff Children&rsquo;s Hospitals and our affiliates. As part of the data analysis and reporting efforts, this position will focus on providing expertise across different data systems (All Epic EHR reporting tools, SQL, Tableau, etc.). This position will also be part of the clinical systems application teams to manage the analysis of data, evaluation of data, getting feedback from key stakeholders and using data to support the performance of our hospitals, clinics, staff, programs, and operations.<br>
</p><p></p><p>Attention to detail and strong communication are critical skills for this position. Works to help other users learn and adopt the development standards and enjoys helping users enhance their data visualization and reporting skills. Requires strong EHR application knowledge and technical skills, and expert analytical abilities in the areas of data extraction, report generation, and information visualization, including but not limited to all EHR Epic reporting tools, reporting workbench, radar, SlicerDicer, SQL server and tableau. The BIA might also develop user training aids and train end users in the use of reports &amp; reporting functions &amp; tools.</p></div>

Business Intelligence Analyst

Explore 175+ Data engineer analytics technical leadership in San Francisco United States this April. Find roles across top companies and apply now to boost your career.