Data Analyst, In-Store

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners. In this role, you will collaborate closely with Operations, Science, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst Intern to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Operations, Engineering, Data Science & Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners Monitor and diagnose KPI performance and present findings to senior leadership Experience: Currently pursuing a Bachelors or Masters degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field;

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. What you’ll do Help architect and maintain the infrastructure for Structured Products investing. Leverage internal and external partners to help with data infrastructure builds. Integrate alternative and traditional data sets to help streamline our analytic processes. Use Artificial Intelligence (AI) to enhance and optimize processes. Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg. Manage and assist in special projects within the CLO market. What’s required 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund. Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics. Advanced knowledge of a programming language such as Python, C++, or SQL. Advanced skills in Excel and cashflow modeling. Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employ

The Principal CRO and Web Analyst will drive the insights, measurement, and experimentation that shape Datadog’s website roadmap and improve how users discover, learn, and convert. You’ll use data to uncover opportunities, size impact, guide prioritization across high-value pages and journeys, and inform audience segmentation and personalization. This role combines analytical depth, clear storytelling, and hands-on execution across testing and optimization while shaping the experimentation culture and strategy that the broader team operates within. You’ll partner closely with Marketing, Product, and Web Engineering to deliver measurable gains in engagement and conversion. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own website analytics, KPI frameworks, and user behavior insights to inform the website roadmap Identify performance gaps using data, benchmarks, funnel analysis, and user behavior patterns Translate insights into clear recommendations, prioritization frameworks, and experimentation plans Define and scale Datadog’s web experimentation program, including testing strategy, methodology, and best practices Improve engagement and conversion through testing, optimization, segmentation, and personalization initiatives Partner with Marketing, Product, and Engineering to align experimentation with business priorities and present findings to senior leadership Who You Are: You have 10+ years of professional experience, including 6–8 years in conversion rate optimization, web analytics, experimentation, or a related field You have strong analytical and problem-solving skills, with the ability to turn data into clear narratives and decisions You have experience with user behavior data, funnel reporting, audience segmentation, and testing methodologies

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is seeking a Senior Security Operations Analyst III to join our SOC team to help strengthen our ability to detect, investigate, and respond to evolving security threats. In this role, you’ll lead complex investigations, improve CLEAR’s threat detection and response capabilities, and serve as a trusted security partner while helping develop the analysts and program around you. What you'll do: Lead complex investigations of security events across corporate networks, endpoints, data centers, cloud environments, and other critical systems, driving incidents from initial analysis through escalation and remediation Develop, tune, and optimize threat detection logic across SIEM, EDR, and other security platforms, proactively identifying coverage gaps, reducing false positives, and improving the fidelity of security alerts Partner with Engineering, Infrastructure, and other teams to investigate threats, identify root causes, communicate risk, and drive timely remediation and improvements to CLEAR’s security posture Apply threat intelligence, data, automation, and AI-enabled tools to identify emerging attack patterns, accelerate investigations, improve detection workflows, and strengthen decision-making while applying sound security judgment Serve as a subject matter expert and escalation point for other analysts, mentoring junior team members, sharing knowledge, and helping establish scalable processes, playbooks, and standards for threat detection and analysis Continuously evaluate CLEAR’s detection coverage against the evolving t

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role NYT Wirecutter is looking for a Senior Manager, Revenue Analytics to power our business strategy. Your core mandate is to increase audience monetization across our primary businesses—Affiliate, Advertising, and E-commerce—ensuring we preserve long-term audience trust. As a player-coach role, you will lead a team of analysts and partner closely with Revenue, Product, and Marketing leads to establish KPIs, run conversion experiments, and build attribution frameworks that scale revenue. You will report to the Executive Director, Data Analytics. Responsibilities You will lead, mentor, and onboard a team of two direct reports, nurturing their career growth You will analyze affiliate revenue drivers (e.g., merchant commissions, EPC, conversion rates, and partner yield) across all content touch points. You will be the analytics lead for the newly launched Wirecutter Store, reporting on unit economics, merchandise performance, cart funnel analytics, order value (AOV), and customer acquisition/repeat purchase metrics You will partner with Ad Ops and Advertising teams to track ad yield (RPM, eCPM), fill rates, and ad unit viewability, balancing display and custom content revenue against user experience and page speed You will evaluate trade-offs between affiliate links, ad placements, and Wirecutter Store product placements on site, creating a holistic monetization framework to maximize total revenue per user. You will lead recur

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role : The Graphics Intensive is a unique opportunity for mission-driven students and early career professionals with visual skills to work alongside journalists for a 12-week, full-time program. We seek individuals who bring their own inquisitive nature to develop creative approaches to storytelling, including those who may not have previously considered working in an independent newsroom. Prior journalism experience isn't required — many of our team members have embraced journalism's core fundamentals while at The Times — but you must have a desire to seek the truth and help people understand the world. The Graphics desk at The New York Times is composed of visual journalists from diverse creative backgrounds, including architecture, cartography, and computer science. We cover all topics across the news cycle, motivated by a shared curiosity. This position is designed to cultivate skills and judgment in the creation of visual stories, including training and regular feedback from team members. Many of our projects are a collective effort, so you will work with a range of people and skill sets. We are interested in applicants who want to learn how to apply creative and technical skills to a range of journalistic and storytelling assignments. Do you know how to write code to analyze data and produce visualizations? Are you a mapmaker or satellite imagery analyst? Do you use design and illustration to clearly convey complex informati