Data And Monetization Analyst Jobs

Position: SEO Content Writer Job Type: Full-Time Location: Remote Job Overview We are looking for a creative and data-driven SEO Content Writer who can create engaging content for websites, blogs, Instagram, YouTube, and other digital platforms. The ideal candidate should have a strong understanding of SEO, content optimization, audience engagement, and content performance analysis. Key Responsibilities 1)Write SEO-friendly blog articles, website content, and landing page copy. Create engaging captions, content ideas, and scripts for Instagram, Facebook, and other social media platforms. 2)Develop YouTube video titles, descriptions, tags, scripts, and SEO strategies. 3)Conduct keyword research and competitor content analysis. 4)Optimize content for search engines to improve organic traffic and rankings. 5)Analyse content performance using Google Analytics, Search Console, YouTube Analytics, and social media insights. 6)Suggest content monetization strategies to increase traffic, engagement, and revenue. 7)Create content calendars and maintain consistent publishing schedules. 8)Collaborate with designers, video editors, and marketing teams to execute content strategies. Required Skills 1)Strong written English skills with excellent grammar. 2)Knowledge of SEO fundamentals, keyword research, and on-page SEO. 3)Experience with content writing for blogs, websites, social media, and YouTube. 4)Understanding of content monetization strategies and audience growth techniques. 5)Familiarity with tools such as Google Analytics, Google Search Console, YouTube Studio, Canva, SEMrush, Ahrefs, or similar tools. 6)Ability to analyse content performance and provide improvement recommendations. Preferred Qualifications Bachelor's degree in Marketing, Journalism, English, Mass Communication, or related field. Prior experience in SEO content writing, digital marketing, or content strategy. Experience managing content for multiple platforms is an added advantage. Interested C

Job Overview Wargaming is looking for an Economy Game Designer to join the Meta Game Design team working on World of Warships. In this role, you will work on game economy and meta systems that drive player activity, engagement, and long-term retention. Your responsibilities will combine regular live-service work with improvements to existing systems and the development of new meta-game mechanics. You will work closely with LiveOps, Analytics, and Development teams, using player data and economic modeling to support design and balancing decisions. What will you do? Design and balance rewards and progression for LiveOps events focused on player activity and engagement. Design and balance randomized reward mechanics in collaboration with the Monetization team, including reward composition, probabilities, expected value, and impact on the game economy. Design and configure battle economy for new game modes, including earnings, costs, modifiers, and their interaction with the wider game economy. Analyze the impact of new features, events, and economic changes on player behavior and key product metrics. Monitor the health of the game economy and its key systems, identify imbalances and emerging risks, maintain their stability, and propose improvements based on data and player behavior. Work with existing meta-game systems, identify problems and opportunities, and propose improvements aimed at increasing engagement and long-term retention. Participate in the design and balancing of new meta mechanics and progression systems for the core audience of World of Warships. Build economic models, simulations, and calculations to validate design assumptions and balance parameters. Define economic rules and configurations and maintain clear design documentation. Work with analytics and research teams to evaluate feature performance after release and use the results to improve existing designs. Collaborat

Your Career at Rubrik Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy, and undoing agentic mistakes. For more information, please visit www.rubrik.com and follow @rubrikInc on X (formerly Twitter) and Rubrik on LinkedIn. About the Product Team The Product Team at Rubrik is responsible for driving Rubrik’s mission of securing the world’s data by creating products that simplify the complexity of managing cyber resilience across all applications and types of data. We seek to build consumer-grade experiences to solve the hardest and most complex enterprise challenges. What Product Growth, Specifically, Does at Rubrik Rubrik’s Product Growth team sits within product management and reports into Anneka Gupta, Chief Product Officer of Rubrik. Our team bridges Product Management, Analytics, and GTM Strategy to shape Rubrik’s monetization and business model vision. We are responsible for accelerating Rubrik’s business growth by identifying and unlocking levers across the customer lifecycle. Specifically, our team focuses on: Monetization & Packaging Strategy: Designing pricing models, tiering structures, and add-on packaging for core SaaS and AI products. Product-Led Growth & Adoption: Analyzing product telemetry and usage patterns to reduce friction, drive feature adoption, and accelerate time-to-value for customers. Expansion & GTM Alignment: Identifying cross-sell and upsell opportunities, optimizing packaging for new market segments, and aligning product capabilities with sales motions. Business Operations & Margin Optimization: Evalua

Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities Apply state-of-the-art ML and LLM techniques to solve problems spanning: Personalization (LLM memory, context summarization, retrieval and ranking); Contextual recommendations and Monetization applications Build frontier agent capabilities on top of Perplexity Computer Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. Proven collaborator and communicator; excels in high-velocity, cross-functional teams. Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus

About the Team Netlify runs on usage. Developers buy credits, teams consume compute and bandwidth, and enterprises commit to spend. The Accounts and Billing area owns how all of that works: the accounts foundation every customer signs into, the billing platform that meters and charges them, and the pricing and packaging model that sets what they pay. It sits at the center of how Netlify grows, and it touches Finance, Growth, UX, Sales, and the executive team. As a Staff Product Manager, you’ll help define and evolve Netlify’s monetization model, bringing a strong point of view while partnering across the company to make high-impact decisions, and you will build hands-on next to engineering, Finance, and design rather than run a team from above. You’ll collaborate closely with senior leaders, including the CEO and CFO, as we continue to evolve Netlify’s pricing and packaging strategy. What You'll Do Lead the strategy and evolution of pricing, packaging, and monetization, including plans and tiers, the credit and usage model, seat-versus-consumption economics, on-demand and overage rates, enterprise commitments and discounting, storage pricing, regional pricing, and annual plans. Ship billing as a product: metering accuracy, invoicing, payments, refunds, and customer-facing usage visibility, including the billing and usage interfaces enterprises are asking for. Steward the accounts foundation: sign-up and authentication, identity, orgs and teams and seats, roles and permissions, account security, and fraud and abuse at the top of the funnel. Build and lead the pricing and packaging experimentation program, using data, customer insight, and sound judgment to guide decisions: product analytics, conversion and activation, and credit-consumption telemetry. Partner with Finance to develop pricing approaches that balance customer value, business goals, and long-term sustainability. Partner with engineering and cross-functional stakeholders to set priorities, evaluate tradeo

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance. RESPONSIBILITIES Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization. Maintaining and improving portfolio trading in production environments. REQUIREMENTS Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline. 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus. Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning. Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas. Ability to work both independently and collaboratively within a team. Commitment to the highest ethical standards.

About the team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our EMEA organization translates OpenAI’s global mission and strategy into meaningful local impact, working across Growth, Product, Marketing, Partnerships, Finance, Research, Operations and Compliance. About the role As Strategy and Operations lead, you will develop country strategies, identify the most important market opportunities and barriers, align cross-functional teams around a focused set of priorities, and personally drive initiatives through to measurable outcomes. This is an individual-contributor role. The primary focus is Consumer, with opportunities to create adjacent impact across B2B. You will go deep in a small number of priority markets while building approaches that can scale across EMEA. This is not a strategy-only role. The successful candidate will combine rigorous analysis and market judgment with urgency, hands-on execution and the ability to influence without formal authority. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Build country strategies: Develop plans, priorities and forecasts for key European markets and translate company strategy into practical local action. Drive growth and conversion: Use data, customer insight and experimentation to improve acquisition, engagement, retention, conversion and monetization. Lead market expansion and localization: Identify opportunities, build scalable launch frameworks and determine where products and go-to-market should adapt. Turn strategy into execution: Personally move initiatives from diagnosis and prioritization through delivery, measurement and iteration. Lead cross-functional teams: Align Product, Growth, Marketing, Brand, Partnerships, Finance, Research, Operations and Compliance around shared outcomes. Represent regional insight: Ensure European market and cust

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Software Engineer on the Creator Business team, you will help drive a healthy and ever-growing creator economy at Roblox. Our mission is to help Creators efficiently operationalize their revenue so they can invest in and grow their business. The team works on complex areas such as monetization analytics, revenue reporting, payouts, and taxes, requiring penny-perfect accuracy and zero defects. In this role, you'll build and own the scalable, secure, and reliable platform that lets our creators thrive. You'll work alongside your team, partnering with product and other engineering teams to shape end-to-end requirements and drive projects with real impact and visibility. You'll take meaningful, scoped projects from concept to completion, shape key system design decisions, and have the room to surface improvements and communicate technical decisions with clarity and confidence. You will: Develop remarkable products and systems that will delight our users Work with the product, data science, and design to help refine requirements Contribute to or drive the overall end to end system design Have the opportunity to push the boundaries of what’s next for the company Help recruit future talent fo

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Product Manager, you own the roadmap across several monetization surfaces at once, translate business goals from commercial, growth, and premium stakeholders into ML product bets, and decide where a specialized engineering and data science team spends its time. You will work close to the metal - experiments, ranking metrics, revenue per impression, conversion funnels - and close to the top - steering-committee roadmaps and quarterly commitments. What you'll do: Own the product roadmap for the Recommendations portfolio across Ads, Business Messaging, Premium and Growth - one coherent strategy across surfaces that today compete for the same models, data and engineers. Turn commercial targets into ML product work: define the opportunity, size it, frame the hypothesis, and prioritize it against everything else the team could ship. Drive the experimentation cadence end to end - hypothesis, A/B design, guardrail metrics, readout, ship/kill decision - and keep the bar high on what counts as a win. Partner daily with engineering, data science and analytics in Stockholm, and with commercial, sales and growth stakeholders across Stockholm and Bangalore. O

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Senior Product Manager for Deceptive Content, you'll own Pinterest's strategy for reducing user victimization from manufactured trust: scams, fake storefronts and merchants, AI-generated "slop" merchant clusters, and misleading commerce content. You'll partner closely with teams across Pinterest, including Policy, Operations, Engineering, Data Science, Monetization, and the Adversarial/Spam team, to keep Pinners safe as they move from inspiration to action. What you'll do: Define and deliver the strategy and roadmap for deception defense across organic commerce surfaces, aligning partners across Policy, Ops, MLE, Integrity Analytics, Data Science, and Monetization Set the metrics and measurement approach for deceptive-content prevalence, victim-exposure window, cluster takedown latency, and enforcement quality, including merch

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop a deep, nuanced understanding of the Pinter

About the Role We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands. OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design. This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area. In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions. In this role, you will: Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action. Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design. Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth. Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences. Communicate complex findings to executives and cross-functional partners with crisp re

About Us Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview We are looking for a strategic, business-oriented, and AI-forward Analytics Leader to drive data-led and AI-powered decision-making for Paytm Money across equities, mutual funds, and derivatives. This role will define and lead the analytics vision across user growth, trading behavior, portfolio analytics, customer lifecycle, monetization, and product experience, while partnering closely with Product, Growth, Business, Risk, and Engineering teams to scale Paytm Money’s wealth platform. The ideal candidate will bring deep expertise in financial markets, broking platforms, and investment products, along with strong experience in building scalable analytics functions. In addition, this leader should have worked intensively on AI-led modeling, predictive decision systems, AI adoption across analytics workflows, and data models designed for advanced analytics and machine learning use cases. This is not just a reporting or dashboarding role. It is a leadership role focused on building a proactive, predictive, and AI-enabled analytics engine that helps the business make faster, sharper, and more scalable decisions. Key Responsibilities 1. Analytics Strategy, AI Vision & Business Impact · Define and own the analytics and decision intelligence roadmap aligned with Paytm Money’s growth, engagement, and revenue goals. · Translate business problems across acquisition, activation, trading behavior, retention,

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is seeking an experienced Staff Data Scientist to join our Finance & Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption — and the person in it is expected to operate across all three. The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day. This is a high-

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa