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data analyst

World Golf Tour

<div>
 
 Role
 
 
 
 World Golf Tour is seeking a Data Analyst to join our Product team. In this critical role, you will be the custodian of our data, organizing insights, and analyzing telemetry to support strategic business decisions. You will focus on developing and maintaining dashboards and analysis reports, collaborating across the studio and closely with the Product team to provide actionable insights that help drive the business. This role emphasizes strong data stewardship, visualization and statistical analysis.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Clean, validate, and prepare datasets for analysis, including resolving issues regarding missing, inconsistent, or novel data
 </li>
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 Perform exploratory data analysis to identify trends, patterns, and anomalies that inform business decisions
 </li>
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 Develop and maintain dashboards, reports, and visualizations using tools such as Amplitude, Power BI, or Excel
 </li>
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 Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders
 </li>
 <li>
 Partner with business teams (e.g., marketing, product, finance) to understand data needs and deliver relevant analyses
 </li>
 <li>
 Support ad hoc analysis and deep dives to answer specific business questions or identify opportunities
 </li>
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 Ensure compliance with data governance, privacy, and security standards
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
 </li>
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 2&ndash;4 years of experience in a data analyst or similar role, preferably in game or software development
 </li>
 <li>
 Strong proficiency in SQL for data querying and manipulation
 </li>
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 Experience with data analysis tools/languages such as Python or R
 </li>
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 Advanced proficiency in Excel (e.g., pivot tables, formulas, data modeling)
 </li>
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 Experience with data visualization tools (e.g., Tableau, Power BI)
 </li>
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 Strong proficiency in statistical methodologies and data analysis
 </li>
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 Strong problem-solving and critical thinking skills
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 Excellent communication skills, with the ability to present complex data in a clear and concise manner
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
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 Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
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 Familiarity with ETL processes and data pipeline development
 </li>
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 Knowledge of basic machine learning or predictive analytics techniques
 </li>
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 Experience working in game development
 </li>
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 Understanding of data governance and privacy regulations
 </li>
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 Experience in a fast-paced, cross-functional environment
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 World Golf Tour
 
 is a leader in online golf, delivering the most realistic and immersive virtual golf experience to players around the globe. We are best known for our core product
 
 WGT Golf
 
 , a free-to-play golf game that has set the standard for virtual golf since its launch in 2008. Renowned for its photorealistic recreations of iconic courses such as Pebble Beach, The Old Course at St Andrews, and Quail Hollow Club, the game combines authentic course imagery with precise swing mechanics and multiplayer competition to offer an experience trusted by millions.
 
 
 Compensation Range: $75K - $125K
 
 
</div>

Data Analyst

OpenAI

<div>
 
 About The Team
 
 
 
 The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.
 
 
 The Strategic Intelligence &amp; Analysis (SIA) team provides safety intelligence for OpenAI&rsquo;s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI&rsquo;s tools are deployed securely and responsibly across critical sectors.
 
 
 
 About The Role
 
 
 
 We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. In this role, you build the dashboards, maps, and visual frameworks that leadership and partners rely on to understand where risks are emerging, how they evolve over time, and which mitigations matter most.
 
 
 You will combine data visualization, forecasting literacy, and strong visual design skills to create &ldquo;front doors&rdquo; into our risk landscape: interactive views of safety and abuse patterns, geopolitical developments, and market shifts across regions and supply chains. You will work closely with analysts, forecasters, investigators, data scientists, and policy partners to turn noisy, multi-source inputs into visual products that directly influence priorities and resourcing.
 
 
 
 In this role, you will
 
 
 
 
 Design And Build Dashboards And Interactive Visualizations That Track
 
 
 
 <ul>
 <li>
 Emerging safety and abuse risks across products and geographies.
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 Geopolitical developments that affect OpenAI&rsquo;s risk posture.
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 Key abuse cases and incident trends using both structured and unstructured data.
 
 
 </li>
 </ul>
 
 Develop Interactive Risk Views Such As
 
 
 
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 Prioritization heat maps for safety and abuse scenarios.
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 &ldquo;Emerging risks&rdquo; boards with drill-downs for deep dives.
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 Forecast views of risk trajectories, including scenario comparisons over time.
 
 
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 </ul>
 
 Partner With Analysts And Investigators To
 
 
 
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 Translate narrative intelligence, case studies, and OSINT into visual formats.
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 Standardize how we visualize incidents, metrics, campaigns, and risk clusters.
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 Iterate quickly on visual prototypes in response to ongoing investigations or emerging crises.
 
 
 </li>
 </ul>
 Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to:
 
 
 <ul>
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 Ingest and align data from multiple internal systems and external sources.
 </li>
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 Ensure visualizations are accurate, timely, and consistent with existing metrics and taxonomies.
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 Build views that are directly usable in leadership reviews, safety councils, and partner briefings.
 
 
 </li>
 </ul>
 
 Establish And Maintain a Visual &ldquo;source Of Truth&rdquo; For
 
 
 
 <ul>
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 Top strategic risk themes and their evolution over time.
 </li>
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 Cross-geography views (e.g., markets, supply chains, infrastructure) for safety and geopolitical risk.
 </li>
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 Key mitigations and owners linked to specific risk categories or regions.
 </li>
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 Create templates, style guides, and reusable components so that the team can rapidly produce consistent, high-quality visual materials (dashboards, one-pagers, workshop materials, and exec reviews).
 
 
 </li>
 </ul>
 
 You might thrive in this role if you
 
 
 
 <ul>
 <li>
 Significant experience (typically 4+ years) in data visualization, business intelligence, or analytics, ideally in security, trust and safety, intelligence, risk, or policy environments.
 </li>
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 Demonstrated expertise with at least one major data visualization / BI stack (e.g., Tableau, Looker, Power BI, Mode, Superset, or equivalent), including building interactive dashboards for non-technical stakeholders.
 </li>
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 Strong baseline analytics skills, including experience taking data from APIs, building ETL pipelines, and wrangling structured and unstructured data into real-time or near-real-time dashboards; familiarity with real-time or streaming data frameworks is a plus.
 </li>
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 Familiarity with React or D3.js (or similar JavaScript-based visualization libraries), with the ability to build or customize visual components directly in code, is a strong plus for this role.
 </li>
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 Experience visualizing time-series, event-based, and scenario/forecast data, including:
 </li>
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 <li>
 Trendlines, trajectories, and leading indicators.
 </li>
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 Clear communication of uncertainty and confidence levels.
 </li>
 </ul>
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 Strong skills in structuring and visualizing complex problem spaces, such as:
 </li>
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 Multi-dimensional risk taxonomies and prioritization frameworks (likelihood, impact, exposure).
 </li>
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 Geospatial and network views of entities, campaigns, or supply chains.
 </li>
 </ul>
 <li>
 Solid visual and graphic design capabilities, including:
 </li>
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 An eye for clear information design, layout, and visual hierarchy.
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 Ability to apply consistent visual standards across dashboards and static materials.
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 Experience with design tools such as Figma, Adobe Illustrator, or similar, or a portfolio demonstrating equivalent skills.
 </li>
 </ul>
 <li>
 Ability to work with data from diverse sources and levels of maturity (structured metrics, case notes, OSINT, qualitative assessments) and to design visuals that faithfully reflect both the data and its limits.
 </li>
 <li>
 Proficiency in SQL and working knowledge of Python for querying large datasets, exploratory analysis, and building data pipelines that feed dashboards and reporting.
 </li>
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 Proven experience collaborating with cross-functional partners (e.g., analysts, data scientists, policy teams, operations) to define requirements and iterate quickly on visual products.
 </li>
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 Strong written and verbal communication skills, including the ability to walk stakeholders through visualizations, design choices, and forecast representations in a clear and concise way.
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Data Visualization Analyst

University of California - San Francisco

<div><div>** This is an 18 month Time Limited position from date of hire. **
Under the direction of the Academic Processing Supervisor, the Academic Processing Analyst has the primary responsibility to organize, analyze, validate, and enter all payroll data transactions into the unified payroll database (UCPath) and other local systems. Understands and applies human resources policies, rules, and the UCPath system data entry procedures. The Academic Processing Analyst critically evaluates the information gathered from multiple sources, reconciles conflicts and research inconsistencies in information. Interacts on a regular basis with Academic Personnel Generalists and Managers. The Academic Processing Analyst ensures accurate and timely data entry to meet various systems deadlines.
 
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
The salary range for this position is $64,900 - $97,400 (Annual Rate).
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</div></div>

Academic Processing Analys

<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

<div>This position reports to the Finance Manager and works directly with the Sr. Financial Analyst. This position will support Major Capital Projects, ensuring financial compliance and adherence throughout the construction of a new hospital. This role will be responsible for reviewing consultant invoices, travel expense reimbursements, and payment applications to ensure compliance with contractual obligations. Additionally, the role involves creating work orders, purchase requisitions, and conducting labor rate reviews. The ideal candidate will have experience in construction finance, with strong attention to detail and the ability to manage financial processes in alignment with the Integrated Form of Agreement (IFOA). In addition, this role applies organization policies and procedures to resolve a variety of complicated issues. Works on financial services problems of scope where analysis of situations or data requires a review of a variety of factors.</div>

Financial Analyst 2

<div>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. 
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.</div>

Business Intelligence Analyst

HappyRobot

<div>
 
 About HappyRobot
 
 
 
 HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
 
 
 Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
 </li>
 <li>
 Build and maintain robust data pipelines and models to ensure data quality.
 </li>
 <li>
 Partner with Product, Engineering, and Design teams to inform decisions.
 </li>
 <li>
 Translate complex data into clear, actionable insights for product teams.
 </li>
 <li>
 Love working with data. Love making product better. Love finding the story behind the numbers.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define, build, and maintain product metrics, dashboards, and pipelines.
 </li>
 <li>
 Write SQL and Python code to extract, transform, and analyze data.
 </li>
 <li>
 Design and run experiments (A/B tests) to support product development.
 </li>
 <li>
 Proactively explore data to identify product opportunities and insights.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data-driven decisions.
 </li>
 <li>
 Ensure data quality, reliability, and documentation across analytics efforts.
 
 
 </li>
 </ul>
 
 Must Have
 
 
 
 <ul>
 <li>
 3+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles.
 </li>
 <li>
 Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
 </li>
 <li>
 Proficiency in Python for data analysis and modeling.
 </li>
 <li>
 Excellent communication skills: able to explain complex data insights clearly.
 </li>
 <li>
 Curious, collaborative, and driven to make an impact in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in B2B SaaS or AI/ML products.
 </li>
 <li>
 Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
 </li>
 <li>
 Exposure to machine learning concepts or AI-powered systems.
 
 
 </li>
 </ul>
 
 Why join us?
 
 
 
 <ul>
 <li>
 Opportunity to work at a high-growth AI startup, backed by top investors.
 </li>
 <li>
 Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
 </li>
 <li>
 Ownership &amp; Autonomy - Take full ownership of projects and ship fast.
 </li>
 <li>
 Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
 </li>
 <li>
 Comprehensive Benefits - Healthcare, dental, vision coverage.
 </li>
 <li>
 Work With the Best - Join a world-class team of engineers and builders.
 
 
 </li>
 </ul>
 
 Our Operating Principles
 
 
 
 
 
 Extreme Ownership
 
 
 
 
 We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting &mdash; if something needs fixing, we own it and make it better. This means stepping up, even when it&rsquo;s not &ldquo;your job.&rdquo; If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don&rsquo;t wait for someone else to solve it &mdash; we lead with accountability and expect the same from those around us.
 
 
 
 
 Craftsmanship
 
 
 
 
 Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for &ldquo;just fine.&rdquo; We sweat the details because details compound. Whether it&rsquo;s a product feature, an internal doc, or a sales call &mdash; we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build &mdash; even when nobody&rsquo;s watching.
 
 
 
 
 We are &ldquo;majos&rdquo;
 
 
 
 
 Be friendly &amp; have fun with your coworkers. Always be genuine &amp; honest, but kind. &ldquo;Majo&rdquo; is our way of saying: be a good human. Be approachable, helpful, and warm. We&rsquo;re building something ambitious, and it&rsquo;s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
 
 
 
 
 Urgency with Focus
 
 
 
 
 Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We&rsquo;re running a high-speed marathon &mdash; not a sprint with no strategy.
 
 
 
 
 Talent Density and Meritocracy
 
 
 
 
 Hire only people who can raise the average; &lsquo;exceptional performance is the passing grade.&rsquo; Ability trumps seniority. We believe the best teams are built on talent density &mdash; every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players &mdash; that&rsquo;s how we win.
 
 
 
 
 First-Principles Thinking
 
 
 
 
 Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don&rsquo;t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It&rsquo;s how we build what others think is impossible.
 
 
 
 The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
 
 
 
 
 By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
 
 
 
 
 In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
 
 
 
 
 If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
 
 
 
 
 For more information, visit
 
 
 https://www.happyrobot.ai/privacy-policy
 
 
 
 
 By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
 
</div>

Data Engineer

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