Director of Data (Analytics Engineering) at Scopely

About UsAt Perk, formerly known as TravelPerk, we are revolutionizing travel and spend management through our intelligent platform. Our innovative tools automate tedious tasks such as travel bookings, expense management, and invoice processing, allowing organizations to focus on what truly matters. With a mission to eliminate shadow work that drains producti…

About Voicemod At Voicemod, we empower individuals to enhance their voice in every interaction, promoting self-expression and a sense of belonging. Our innovative audio solutions enable gamers, streamers, and content creators to define their online personas through voice modulation, soundboards, and real-time effects. Each day, millions engage with Voicemod to elevate their communication and enjoyment.Our dynamic team of over 90 professionals works remotely or from our headquarters in Valencia and our collaborative workspace in Barcelona. We are deeply committed to redefining the audio landscape and developing products that make digital environments more engaging and fun. If you resonate with our mission, we would be excited to connect with you!Our Core Values At Voicemod, our values are integral to our daily operations: Courage to Innovate – Innovation stems from bravery. Accountability and Ownership – Make an impact through ownership. Passion for Play – Success is fueled by passion. Collaborative Growth – Achieve more by growing together.Role Overview We are on the lookout for an Analytics Engineer to elevate our data platform and empower every team member at Voicemod to make data-driven decisions.This position is available for both mid and senior levels; we will adjust the title and scope according to your expertise. We welcome applications from those earlier in their careers who possess a builder mindset and a genuine eagerness to develop.Your Responsibilities Engage with engineers, product teams, and analysts to create data products that are accurate and insightful.Manage the entire data product lifecycle, from designing tracking plans to developing data models, ELT pipelines, and self-serve data offerings.Establish and uphold an AI-driven semantic layer that enables business users to interact with data using natural language via AI tools.Explore innovative methods to incorporate AI into the data lifecycle.Act as the data steward, ensuring data integrity and consistency in metrics.

Join the Team at dLocal!At dLocal, we empower some of the largest global enterprises to seamlessly collect payments across 40 emerging markets. Our innovative solutions help renowned brands enhance conversion rates and ease the complexities of payment expansion. Serving as both a payment processor and a merchant of record, we facilitate our merchants' growth in the world’s most rapidly evolving markets.By joining dLocal, you will become part of a dynamic and diverse global team, collaborating with over 1000 teammates from more than 30 nationalities. Your role here will have a significant impact on millions of people's daily lives. We are a team of builders who embrace challenges and prioritize customer satisfaction. If you resonate with our values, we believe you will thrive in our environment.

Join Scopely as a Lead Analytics Engineer, where you will play a pivotal role in driving data-driven decision-making across our innovative gaming platform. In this leadership position, you will collaborate with cross-functional teams to design and implement advanced analytics solutions that enhance user experiences and boost operational efficiency.

Welcome to Fever! As the world's premier technology platform for culture and live entertainment, we are on a mission to make cultural experiences accessible to everyone. Our innovative technology and data-centric approach are transforming the way individuals engage with live entertainment. Each month, our platform captivates over 300 million users across more than 40 countries, enabling them to discover remarkable events while empowering creators with the insights and technology they need to innovate and expand their reach. Our achievements include collaborations with industry titans such as Netflix, F.C. Barcelona, and Primavera Sound, along with several prestigious awards and support from top global investors! Exciting, isn't it? To continue our journey, we are seeking passionate individuals with a proactive mindset ready to help us redefine the future of entertainment!Now, let’s dive into the specifics of this role and how you can contribute to Fever's mission.About the RoleAt Fever, we are constructing a federated data organization that balances centralization where it matters and autonomy that drives value. Our teams utilize advanced data platforms like Snowflake, DBT, Airflow, DataHub, and Metabase. Moreover, we are developing proprietary technologies to deliver high-quality data products across diverse business sectors.As a Senior Analytics Engineer, you will serve as a crucial link between data engineering and business analytics, enabling our stakeholders to make informed decisions based on reliable, well-structured, and easily accessible datasets.What You’ll DoDesign, build, and maintain robust data models (DBT, SQL) that convert raw data into clean, trustworthy datasets for self-service and reporting.Collaborate with the data engineering team to define and validate business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).Engage with business squads (B2B, Marketing, CRM, Product) to identify their requirements and transform them into reusable data assets.Ensure data quality and consistency by working closely with the data engineering team on testing frameworks, observability, and governance.Enable self-service analytics by empowering stakeholders to access and analyze data independently.

Join Scopely as a Lead Analytics Engineer in Finance, a pivotal role where you will drive data-driven decision-making within our finance team. Your expertise in analytics will help us to optimize our financial strategies and enhance our overall business performance.

At Groupon, we're not just a marketplace; we are a vibrant ecosystem where consumers discover exciting experiences and local businesses flourish. Having partnered with over a million merchants globally, we connect more than 16 million customers to exceptional deals across diverse categories. In an era largely influenced by e-commerce giants, Groupon distinctly positions itself as a platform dedicated to empowering local businesses through performance-driven initiatives.We're embarking on a transformative journey to revolutionize our operations, fueled by an unwavering commitment to results. Despite our extensive workforce spanning multiple continents, we cultivate a culture that promotes innovation, encourages calculated risk-taking, and celebrates success. Here, your impact can be immediate and significant, as we balance the resources and scale of a large organization with the autonomy of a smaller company.Design the "Source of Truth" for a Global MarketplaceAt Groupon, data is central to our mission. We are seeking a Senior Analytics Engineer to connect raw data infrastructure with actionable business insights. Your role will extend beyond writing queries; you will be responsible for architecting the semantic layer of our data warehouse, ensuring every dashboard, AI model, and executive decision is built on a robust foundation of trust.This position is a high-impact Individual Contributor role for someone who is passionate about SQL, data modeling, and solving intricate problems at a global scale.Embrace the AI Advantage At Groupon, we don’t just analyze AI; we actively build with it. You will engage in innovative projects that leverage AI to enhance our business processes and customer experiences.

Scopely is on the lookout for a passionate Analytics Engineer to become an integral part of our dynamic Playgami team based in Barcelona on a hybrid basis! At Scopely, our mission is to inspire play every day. We foster a collaborative environment with talented colleagues while nurturing meaningful connections within our gaming communities. As a global team of gaming enthusiasts, we are committed to developing, publishing, and innovating within the mobile gaming industry, engaging millions of players worldwide each day. Our Playgami team is dedicated to creating the ultimate SaaS gaming platform. We aim to deliver exceptional products for game production, operations, and analytics, powering a multitude of award-winning games cherished by millions across mobile, web, and PC.

jobandtalent is looking for a Senior Analytics Engineer to join the team in Madrid. This position centers on using data analytics to support business decisions and strengthen the company’s data infrastructure. Role overview The Senior Analytics Engineer will work with complex data sets, translating them into clear, actionable insights. The role involves collaborating with colleagues to ensure data is accessible, accurate, and ready to inform key decisions across the business. What you will do Develop and maintain data models and analytics tools Transform raw data into meaningful reports and dashboards Work closely with stakeholders to understand data needs and deliver useful solutions Requirements Strong experience in data analytics and engineering Ability to work with complex data and communicate findings clearly Comfortable working in a collaborative, evolving environment

Join altersolutions as a Digital Analytics Engineer in Madrid! We are looking for innovative professionals who are passionate about data-driven decision making. You will play a pivotal role in analyzing digital metrics, developing strategies, and providing actionable insights to enhance our clients' performance. This position offers an exciting opportunity to collaborate with a dynamic team and contribute to impactful projects.

Scopely is on the lookout for a driven and passionate Senior Analytics Engineer to become a vital member of our Playgami team, based in Barcelona with a hybrid work arrangement! At Scopely, we believe in the power of play and strive to foster an inspiring environment—whether collaborating with our talented colleagues or engaging with our vibrant communities of players. Our global team of gaming enthusiasts is dedicated to developing, publishing, and innovating within the mobile games industry, making connections with millions of players across the globe every day. The Playgami team is committed to creating the ultimate SaaS gaming platform! We aim to deliver exceptional products for game production, operation, and analytics, powering numerous award-winning franchises enjoyed by millions across mobile, web, and PC platforms. What You’ll Do Lead collaborative efforts with engineers, product teams, and analysts to craft self-service insight products that are responsive, accurate, and scalable to petabyte levels.Manage the entire data product lifecycle, including designing innovative tracking plans, developing robust data models, ELT pipelines, and self-service analytics solutions such as Looker explores and dashboards.Ensure the integrity of data quality by maintaining consistent metric reporting across diverse data products.Leverage state-of-the-art technologies, including BigQuery, dbt, and Looker.Provide technical guidance and support to game product teams and departments, enhancing their operational efficiency and product success.Bring specialized knowledge of a specific segment of the data stack while also contributing across various aspects.Mentor fellow team members and promote the adoption of best practices within the team.What We’re Looking For A strong enthusiasm for tackling complex analytical challenges.Demonstrated ability to translate business requirements into advanced analytical solutions.In-depth knowledge of the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows).Exceptional SQL expertise with a minimum of 5 years in data analytics or engineering roles.Solid grasp of data modeling principles (e.g., Kimball methodology, star schemas).A high regard for business context coupled with a commitment to achieving technical excellence.A collaborative mindset and pride in contributing to a team-oriented environment.

Join a dynamic and rapidly expanding Series A startup that is at the forefront of cloud development innovation. At LocalStack, we are dedicated to transforming cloud development processes and enhancing developer and testing feedback loops for maximum efficiency. Following our latest funding round of $25 million in Q4 2024, which was led by Notable Capital, CRV, and Heavybit, we are poised for significant growth.LocalStack serves as a high-fidelity emulator and a robust local cloud development platform. Picture developing cloud applications and data pipelines seamlessly on your local machine within a lightweight cloud sandbox powered by Docker!Our mission is to enable developers to swiftly build and test their cloud applications, leading to an enjoyable development experience while saving precious time and resources.With an impressive open-source community boasting over 57,000 stars on GitHub and more than 100,000 active users globally, we have achieved over 290 million downloads to date. Our clientele ranges from small and medium-sized businesses to Global Fortune 500 companies.We are strategically expanding our globally distributed team across various sectors. LocalStack has its headquarters in Zurich, Switzerland , with a main engineering office in Vienna, Austria , and remote team members from the US, France, United Kingdom, Canada, Spain, and beyond. Discover more about us in the Notion Candidate Handbook and explore our GitHub!

About Qualifyze:Established in 2019, Qualifyze has emerged as a premier provider of supply chain compliance management solutions within the Life Sciences sector, earning the trust of over 1,500 pharmaceutical and healthcare companies worldwide. Our sophisticated digital offerings unite manufacturers, suppliers, and a vast network comprising more than 250 auditors and quality experts.With a proven history of conducting over 4,500 audits across more than 85 countries, and boasting the largest and most precise supplier network alongside state-of-the-art data analytics tools, Qualifyze is your comprehensive partner for quality compliance and risk mitigation in the supply chain for Life Sciences.

About AiraloWelcome to Airalo, the pioneering eSIM store that empowers travelers to connect seamlessly in over 200 countries and regions worldwide. As a travel-tech innovator, we are on a mission to transform the telecommunications landscape. At Airalo, we pride ourselves on fostering a diverse and inclusive workplace, where every team member contributes to our collective success. Our team spans across more than 50 countries and six continents, united by our commitment to revolutionizing connectivity.Discover more about our culture and values in our Public Handbook: https://airalo-public.notion.site/airalo-public-handbookAbout YouWe are seeking a candidate who is passionate about delivering high-quality work and values the significance of collaboration and team success. You are a self-motivated individual who thrives without the need for micromanagement. Your authenticity, clarity in communication, and kindness are key attributes. You excel in managing multiple projects, possess strong analytical skills, and have a keen eye for detail. You embrace cultural diversity and are open-minded and tolerant of different perspectives.About the RolePosition: Full-time / EmployeeLocation: Remote-firstBenefits: Health Insurance, work-from-anywhere stipend, annual wellness and learning credits, an all-expenses-paid company retreat in beautiful destinations, among other benefits.We are in search of an Analytics Engineering Manager to spearhead our self-service analytics infrastructure and data modeling practices at Airalo. You will be responsible for establishing the foundational elements that facilitate scalable analytics, including the semantic layer, core data models, and dashboards. Your leadership will empower teams across our business to independently address their analytical needs. This is a pivotal role where you will define our data modeling strategies, govern metrics, and implement self-service analytics capabilities for a business serving over 20 million users across 190 countries.You will report to the Director of Data and collaborate closely with analytics teams and stakeholders to convert their analytical requirements into robust, production-quality data models. Your success will be measured by the confidence of business users in addressing their inquiries, the establishment of a trusted semantic layer for analytics teams, and the deployment of self-service capabilities across the organization.

Join N26 as a Product Manager focusing on Data Governance and Analytics Engineering, where you'll play a pivotal role in shaping our data strategies. You will collaborate closely with cross-functional teams to enhance our data management processes and ensure compliance with data governance frameworks. Your expertise will help drive the development of innovative analytics solutions that empower our organization.

Veeva Systems is a pioneering organization dedicated to the life sciences sector, enabling companies to expedite the delivery of therapies to patients. Recognized as one of the fastest-growing SaaS companies globally, we achieved over $2B in revenue last fiscal year, with promising growth ahead.At Veeva, our guiding principles are centered on integrity, customer success, employee well-being, and agility. In 2021, we distinguished ourselves by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, communities, and investors.As a Work Anywhere company, we empower you to choose your work environment, whether at home or in the office, fostering your success.Join us in revolutionizing the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and the broader community.The RoleIn this role within the Veeva OpenData Commercial team, you will facilitate the provision of comprehensive reference data across the healthcare ecosystem, enhancing commercial sales execution, compliance, and business analytics.You will drive value for our customers through continuous innovation, leveraging cloud technology and advanced tools to achieve product excellence and ensure customer satisfaction.As an Analytics Engineer, your responsibilities include developing and maintaining processes to transform, clean, and validate data from diverse sources, which will be processed on our data platform using Python.This position significantly influences customer success by ensuring the timeliness, availability, and quality of data. Additionally, you will engage in data acquisition and modeling, along with performing classic analytical tasks such as generating ad-hoc reports and creating visual reports.

Join Aircall as a Senior Data Engineer specializing in Analytics to drive our data initiatives and support our decision-making processes. You will collaborate closely with cross-functional teams to harness data and deliver actionable insights that will improve our product and customer experience.

Join Bosch Group as an intern in the field of Engineering i4.0 and Business Analytics, focusing on automotive component manufacturing. This is an exciting opportunity to gain hands-on experience in cutting-edge technologies and methodologies that drive innovation in the automotive industry. You will work closely with experienced professionals and participate in projects that enhance your skills and knowledge in both engineering and business analytics.

About UsConstructor is an innovative platform designed to enhance search and discovery in the e-commerce sector, focusing on metrics such as revenue, conversion rates, and profitability. Our proprietary search engine, developed entirely in-house, leverages advanced transformers and generative LLMs for superior personalization and performance, enabling features that range from search capabilities to product recommendations and shopping agents. As the largest department within our company, our engineering team is dedicated to maintaining the leading edge of AI technology, consistently outperforming our competitors in A/B testing.Our system is engineered for extreme scalability, handling over 1 billion queries daily across 150 languages in approximately 100 countries. Esteemed e-commerce giants like Sephora, Under Armour, and Petco rely on our solutions.We are a team driven by passion and a commitment to problem-solving, always striving to improve the experiences of our customers and colleagues alike. Our core values include empathy, openness, curiosity, and a relentless pursuit of meaningful metrics. By empowering everyone to excel in their roles, we believe we can achieve exceptional results.Founded in 2019 by Eli Finkelshteyn and Dan McCormick, Constructor is a U.S.-based company with a global footprint.As an Analytics Engineer on the Offsite Search Optimization team, you will play a crucial role in enhancing the e-commerce experience for millions of users worldwide through improved speed and personalization. Our team aims to connect onsite product discovery with external platforms, ensuring that Constructor-powered websites are easily discoverable and accurately represented by both Google and generative engines. Our key objectives include:Establishing measurable foundations to monitor visibility, traffic sources, and performance related to SEO and GEO.Developing architecture for conducting technical assessments on customer websites, evaluating their optimization levels, and offering actionable recommendations.Collaborating with Product teams to adapt enriched content for SEO/GEO and align it with external discoverability requirements.Creating an SEO/GEO enablement layer with tools, playbooks, and frameworks to disseminate best practices across teams and clients.Challenges You Will AddressAchieving complete visibility of product discovery from external sources.Accurately measuring organic, branded, and AI-driven traffic.Creating a unified model for landing pages.Establishing a framework for future SEO experiments (e.g., canonical tests, template variations, structured data tests).Developing internal tools for use by other teams.Facilitating the adoption of best practices across teams.