Strategy & Analytics Business Partner Analyst

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Strategy and Analytics maximizes and accelerates Operations' ability to make Stripe work for our users. We aspire to be the COOs for Stripe Ops, working cross-functionally with global teams to help run the day-to-day business and articulate and achieve the longer-term, high-effort, high-value strategic priorities. We take a data-driven approach that combines strategy and analytics to help Ops leaders solve their most complex and most important issues while also driving the business planning and operational cadence end-to-end, from strategy to goal-setting to execution. What you'll do In this role, you'll be the go-to expert for your business area. You'll be hands-on and responsible for delivering critical insights, ensuring data-driven decision-making is at the core of what we do. You'll also partner with leadership to drive business strategy, planning, goal-setting, and performance tracking. You'll also scope and lead business-critical projects and execute on strategic initiatives. Responsibilities Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses using SQL and other analytical tools and languages, identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strat

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Internal System Org is at the core of Stripe to empower business-critical financial domains including Finance and Strategy, Accounting, Tax, Treasury, Product Experience, and GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. We enable and empower Finance and Strategy, GTM, Accounting, and Product teams to achieve business goals through dataset development, data analytics support, dashboards, AI, and operational efficiency enhancements. What you'll do You're passionate about solving business problems and making a direct impact on the business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g., AI). We're looking for someone with strong communication skills and advanced SQL and analytics abilities. A background in Accounting or Finance, or prior AI experience, is a strong plus, though these can also be developed on the job. Responsibilities Perform data analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill team stakeholders' business needs Work closely with cross-functional teams, including Finance and Strategy, Accounting, Product, Tax, User Billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth Work closely with Engineering and Product teams to help define product solutions Leverage AI tools to improve

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Data and Analytics team is currently looking for a Senior Data Scientist to join us! You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as a Senior Data Scientist at Vanta: Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure Leverage AI-powered analytics tools and data agents (e.g., Snowflake Cortex) to accelerate insight generation, automate repeatable analysis, and scale decision-making Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data Help define Vanta’s analytics strategy and AI measurement practices as our product and data platform evolve Lead executive analytics reviews, translating complex analyses into clear recommendations that drive company decisions How to be successful in this role: 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting Strong foundation in SQL, Python (or R), statistics, and machine learning Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms (e.g., Snowflake, dbt) Deep experience with da

About the Role: We are looking for a highly analytical and data-driven Business Analyst who can derive actionable insights to support business growth, product strategy, and operational efficiency. The ideal candidate should have strong problem-solving abilities, hands-on experience with SQL and Power BI, and the ability to work closely with cross-functional teams to drive data-backed decision making. Key Responsibilities: ● Analyze large datasets to identify trends, business opportunities, and performance gaps. ● Build and maintain dashboards, MIS reports, and business performance trackers using Power BI. ● Write complex SQL queries for data extraction, validation, and analysis. ● Partner with business, product, marketing, and operations teams to support strategic initiatives. ● Monitor key business metrics and provide actionable recommendations to stakeholders. ● Automate recurring reports and improve reporting efficiency. ● Present insights and findings to leadership teams in a clear and structured manner. Requirements: ● 2–5 years of experience in Business Analytics / Data Analytics. ● Strong proficiency in SQL and Power BI is mandatory. ● Good understanding of data visualization, reporting, and dashboarding. ● Strong analytical thinking and problem-solving skills. ● Experience working with large datasets and deriving business insights. ● Excellent communication and stakeholder management skills. ● Prior experience in fintech, consumer internet, or digital businesses will be preferred. Preferred Skills: ● Knowledge of Excel, Python, or other analytics tools is a plus. ● Exposure to product analytics, customer lifecycle analysis, or performance marketing analytics would be an advantage.

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Revenue Operations Analyst to support and accelerate the productivity of our Go-To Market organization. In this role, you will help define Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. Our ideal candidate is curious and displays an ability to translate business questions into analysis, reports, and recommendations. To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions. In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud-based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes. You will report to our Manager, Revenue Operation Analytics. You Will: Act as a business partner to Sales leaders to understand and identify essential business questions and challenges Lead projects to develop answers and

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