Monetization Operations Analyst

Rovio Sweden AB

Rovio is part of the SEGA family and world famous for our flagship IP Angry Birds - want to know more about Rovio as an employer? Click here. Data is at the heart of everything we do at Rovio. It enables us to continually improve our games and provide incredible experiences for the millions of users who play our games every day. All of this data is only valuable if it can be used to guide our day to day operations and the mission of the Data and Analytics craft is to turn that raw data into actionable insights. We are now looking for a Senior Data Analyst to join our flagship Angry Birds 2 game in the Stockholm studio. Coming into this role, you will build an understanding of the game and different business levers and use that knowledge to build new game features, optimising existing ones, structure vague problem statements in collaboration with key stakeholders. You will be working as a part of a live ops pod, supporting it as a dedicated team member. The team is located in our studio in the centre of Stockholm and works in a hybrid mode (3 days per week onsite). Currently not based in Sweden? No problem at all, we will help you with the relocation and work permit if needed! You will have impact and fun at work by: Working with the team members of your pod, participating in the end to end process of new feature development from planning, research and testing to launch and post launch evaluation Bringing an objective perspective and recommendations to all phases of decision making, leveraging your technical skills to mine raw data for valuable information Constantly designing and running in-game A/B test experiments, helping the team to find options leading to better game monetization performance and higher audience satisfaction Creating dashboards and reports to help the game team understand your findings Proactively working with data exploration and looking for opportunities to improve gameplay experience Working closely with peer Data Analysts, Product Managers, Designers and Producers to continuously improve how we are interpreting game metrics and making decisions Coaching and sharing best practices between colleagues in the data craft and whole game team Experience and skills we are looking for: High proficiency in SQL Proficiency in scripting languages such as Python or R Solid understanding of statistics (hypothesis testing, regression, analysing bias) Experience in product analysis and experiments design including A/B testing Excellent presentation and collaboration skills with proven ability to present data and provide actionable recommendations to senior stakeholders Prior experience as an analyst in mobile games or apps with large audiences Passion for playing games and understanding what makes a successful feature You'll work in a hybrid setup with two to three days at the office per week. Kindly send us your CV in English. We look forward to speaking to you! We welcome applicants to use the name they want to be addressed by in the application form, regardless of whether it is their legal name. At Rovio, we are also committed to providing reasonable accommodations for qualified individuals with disabilities or conditions in our working environment and job application procedures. We are committed to continuously improving workplace accessibility. If you have any questions before applying, please write to us at recruitment@rovio.com.

Stripe

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 Cards team at Stripe is responsible for the infrastructure, user facing features, and business of accepting credit, debit, and pre-paid card payments. Delivering the best offering for processing credit, debit, and prepaid cards is critical to Stripe’s mission, given the central role card payments play in internet commerce.  WHAT YOU’LL DO As a Staff Product Manager for Cards Monetization at Stripe, you’ll be responsible for pricing Card payment products worldwide. Everyday - You’ll balance the needs of our customers and competitive landscape, while helping Stripe maintain its margins.  At Stripe, Product Managers help build innovative payments products for our customers. Product development is an extremely collaborative effort between engineering, design, analytics, operations and customer-facing teams. You’d be joining a team of experienced Product Managers who have a track record of successfully building large-scale business and consumer products that are collectively impacting millions of users around the world. This strategically critical role offers significant exposure to Stripe's leadership as you will drive initiatives to create observability into Stripe’s margins and revenue realization on Cards, define pricing principles and streamline pricing operations. Working with Sales teams, you’ll build out B2B pricing stack, ensuring we automate bundling and discounting decisions. Finally, you’ll work backwards from merchants to define and deliver new pricing models that meet the needs of their growing businesses. This is a highly cross-functional role - On a day to day basis, you will spend your time between meeting customers (both internal and external), and working with your engineering, operations, analytics, network partnership, pricing, finance and GTM counterparts. You will use the voice of the customers, go deep into data, and leverage ML/GenAI as you define pricing strategies and build margin and revenue monitoring and alerting systems.  In short, you’ll own business growth through pricing optimization. Unsurprisingly, your decisions will have millions of dollars of impact to Stripe’s business.   RESPONSIBILITIES Lead Card IC+ pricing/product. Launch Stripe’s IC+ pricing on Cards in new geos and grow adoption with enterprise users.  * Ensure we enable GTM teams with the right tools and cost assumptions to streamline sales and customer success processes for IC+ product. * Lead Cards Monetization for Stripe. You’ll be defining what Stripe charges for card transactions worldwide. You’ll define pricing principles, drive pricing decisions and operationalize those decisions working with pricing, finance, marketing and GTM teams. * To effectively set prices, you’ll work with engineering and data science to build observability into current pricing, margin and revenue realization. You’ll drive insights, and translate those into pricing recommendations.  * You’ll define processes for competitive analysis and regular pricing audits. Over time, you’ll work with engineering and data science to automate pricing processes. * You’ll research best practices pricing automation (such as algorithmic bundling and discounting), and build out an end to end B2B pricing automation stack at Stripe. * You’ll work backwards from customers, and keep a keen eye on competitors to identify new pricing models. You’ll build the business case, find ways to test, and if validated, work across the company to launch the new pricing models.  * On a daily basis, you’ll work with various stakeholders across the organization, including Engineering, Design, Data Science, GTM, Pricing, Marketing, PMs and Operations to drive flawless execution on product and pricing initiatives. Ultimately, you’ll co-own revenue growth and margin improvements for Cards business through IC+ launches and pricing improvements.  Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years of experience in a product role * Deep understanding of B2B GTM, Pricing and Contracting processes and tools * Ability to effectively collaborate with engineering, product, data science, and cross-functional teams. * Experience working with go-to-market teams in a B2B sales environment.  * Experience in B2B Pricing/Monetization  * Ability to deeply analyze data, derive insights, and make data-driven decisions. Proven track record of instrumenting and measuring product initiatives, including those with less obvious metrics. * Strong written and verbal communication skills with a talent for simplifying complex concepts * Proven successes in delivering continuous product improvement as well as 0 ->1 launches * Ownership mindset and persistence to work on whatever it takes to ensure that your product is successful * Proven ability to deliver high-impact presentations to executive audiences. * Has the ability to thrive with a high level of autonomy and responsibility PREFERRED QUALIFICATIONS * Prior background in Strategy Consulting and/or Finance * Prior experience of building data observability platforms * Experience in Payments, working with Card Networks or Banking partners. * Experience working with ML, data science and data analyst teams. SQL proficiency will help.

Trustpilot

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! *This is a Fixed-Term Contract (FTC) for a duration of 12 months. From reviews to user behaviors to internal systems, at Trustpilot, we truly have big data. Every month, more than half a million new reviews are posted on Trustpilot for thousands of businesses. We have now reached 267 million reviews - and that is growing! - from consumers around the world. Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing and revenue management strategy. We are seeking a skilled Data Scientist to join our GTM Applied AI team to develop, deploy, and maintain our GTM and Pricing models. You will collaborate closely with our pricing and monetization squad and team of software developers, data analysts and ML engineers to develop, deploy, and maintain innovative AI/ML models at scale. You will be part of a unique journey where data, AI, and ML are at the heart of our product and company strategy. This role offers the opportunity to collaborate broadly across the business, including with our Commercial, Digital Sales, and Applied AI teams, in both B2B and B2C contexts. To succeed in this role, you should have proven experience in developing and deploying AI/ML models to enhance commercial practices. You have a solid technical background, with hands-on ability in all stages of data preparation, exploration, and modeling. You must have an adaptable commercial mindset and knowledge of the interface between data science and engineering.  The ability to develop AI/ML solutions, engage stakeholders, and clearly articulate the impact of your work is necessary for this role. Experience putting solutions into production within an interdisciplinary team is a big plus, and it will be ideal if you also have experience using AI and ML to solve pricing and revenue management problems. What you’ll be doing: * You will be involved in delivering some of our most exciting Data Science projects aimed at improving our GTM efficiency and pricing practices: from prediction to ranking, segmentation to NLP, and recommendation systems to content generation. * You will deliver the Data Science component of key strategic initiatives, including owning, maintaining, and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work. * You will identify new pricing and monetization opportunities based on data, interpreting model outcomes, and share insights to drive the direction of our business goals.  * You will engage with both technical and non-technical stakeholders & will translate business requirements into Data Science deliverables. * The opportunity to work with leading data engineering technologies, including Google Vertex AI tools, Google BigQuery, BigQuery Pipelines, and Airflow, with leading Data Science tools and emerging technologies for model building and deployment. * Opportunities to develop your career in a friendly, diverse, innovative, international team and workplace. Who you are: * Experience with analytical and quantitative problem solving using advanced statistical techniques and machine learning methods, e.g. Attribution, Segmentation, Churn, Upgrade, Upsell, Pricing Optimisation, and LTV. * Experience in building and deploying production-ready ML models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant). * Ability in Python and SQL for data manipulation, modelling, and scripting. * You have experience working with large datasets. Knowledge of the data generated by websites or in the e-commerce sector, behavioral analytics, and experience working with data from commercial systems (e.g. Salesforce) is advantageous. * Knowledge of data pipelining and prior experience with cloud-based ML model deployments are beneficial. * Great communication skills - both with technical colleagues and with business stakeholders. * Proven technical experience in a Data Science role, particularly in the technology sector or in a technical consultancy. What’s in it for you: * A range of flexible working options to dedicate time to what matters to you * Competitive compensation package + bonus * 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)  * Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community * Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist * Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health * Paid parental leave * Central office with  a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price * Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials * Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms  * Employee discounts to restaurants and shops  Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.