Senior Analytics Engineering Manager - Remote

Join AuditBoard as a Senior Data Analytics Engineer, where you will play a pivotal role in transforming data into actionable insights that drive business decisions. As a member of our innovative team, you will leverage your expertise in data analytics to develop advanced solutions and analytical frameworks that enhance our product offerings.

Grafana Labs is a pioneering open-source organization that operates with a remote-first approach. With over 20 million users globally, our renowned Grafana visualization tool is utilized to monitor a diverse range of applications, from environmental changes to the performance of beehives. Our visually striking dashboards have gained recognition at prestigious events such as NASA launches, Wimbledon, and the Tour de France. Supporting over 3,000 companies, including industry giants like Bloomberg, JPMorgan Chase, and eBay, we empower businesses to effectively manage their observability strategies using the Grafana LGTM Stack.As we expand rapidly, we remain committed to our unique attributes: a legacy rooted in open-source principles, a collaborative global culture, and a dedication to impactful work. Our team thrives in an environment driven by innovation, transparency, autonomy, and trust.If this opportunity resonates with you, we encourage you to apply, even if you don't meet every requirement. This could be a pivotal career moment for you.This role is fully remote, and we are currently seeking candidates located in USA time zones only.Senior Analytics EngineerThe Opportunity:The Senior Analytics Engineer plays a vital role in enabling our analysts and data-driven stakeholders by taking ownership of the architecture and infrastructure for data ingestion, transformation, testing, documentation, and connectivity throughout Grafana Labs. Effective communication with stakeholders is essential to develop a flexible data stack that accommodates our growing business needs.What You’ll Be Doing:Manage and maintain the architecture and infrastructure of our data stack (e.g., BigQuery, dbt, Fivetran).Ensure the availability, accuracy, and accessibility of critical data for our stakeholders.Collaborate with GTM, Self-Serve, Marketing, Finance, BizApps, and other teams to assess their data needs and identify opportunities for enhancement within our analytics framework.Become the primary expert on our data systems.

Role overview WorkWave seeks a Senior Data Analytics Engineer for a fully remote role within the United States. The position centers on developing and maintaining analytics solutions that guide business decisions company-wide. What you will do Collaborate with teams from various departments to identify and clarify their data requirements Design, build, and maintain data analytics tools and workflows Convert complex data into clear, actionable insights to support decisions throughout the organization

About ValonValon is revolutionizing the mortgage servicing and consumer direct lending sectors through a technology-first methodology. Supported by Andreessen Horowitz (a16z) and overseeing more than $130 billion in loans, we have constructed our platforms from the ground up, avoiding outdated legacy systems. This allows homeowners, lenders, and investors to enjoy enhanced transparency, efficiency, and care. By integrating processes into a modern, AI-driven operating system, we are pioneering automation, compliance, and ongoing enhancement in our servicing and lending businesses.Our mission is to empower every homeowner by simplifying the mortgage experience, ensuring it is secure and financially beneficial. We unite top-tier engineers, servicing specialists, lending experts, and operational leaders who share a dedication to enhancing the homeowner journey. We are not only redefining the current landscape of servicing and lending but also creating opportunities for talented individuals to shape the future of the industry.As Valon continues to expand, we are broadening our reach across multiple states, opening up exciting new roles and career paths. Joining Valon means becoming part of a rapidly growing company where innovation, collaboration, and customer impact coexist. Mortgage is merely the starting point—we are constructing the future of regulated finance, and we want you to join us in this journey.About the RoleWe are looking for a Senior Analytics Engineer to take charge of our external client reporting pipelines. This pivotal role encompasses managing the segment of our data platform responsible for transforming raw data into dependable, structured, and efficient assets for reporting, analysis, and AI initiatives. This position lies at the crossroads of engineering and analytics, guaranteeing that data is production-ready, auditable, and readily accessible across the organization.You will oversee client reporting, standardize our data modeling practices, orchestrate analytical workflows, and provide hands-on analytical support for high-impact operational business functions, including reporting and performance management.

About GameChanger:At GameChanger, we understand the transformative influence of youth sports, fostering essential life skills such as leadership, teamwork, responsibility, and confidence. These experiences not only benefit players but also enrich the entire community, emphasizing the vital roles that coaches, parents, and volunteers play in youth sports. Our goal is to create the premier platform for capturing and cherishing these invaluable moments, enabling families to uplift the next generation through sports.If you are passionate about sports and their capacity to unite communities or if you thrive in creating innovative products, consider joining our remote-first, agile tech company based in New York City. We are dedicated to tackling significant challenges in youth sports.The Position:We are looking for a Senior Analytics Engineer to be a key player in our Analytics Hub team. Your mission will be to develop user-friendly, extensible data models and self-service capabilities that empower various stakeholders across the organization to quickly and confidently address data-related inquiries. You will collaborate closely with teams in Analytics, Data Engineering, Finance, Product, and Engineering to enhance the platforms that drive decision-making, automation, and performance measurement.In this role, you will work with both first-party and third-party data to construct and uphold the data infrastructure required for reporting, analysis, and experimentation. Utilizing Python, SQL, and DBT, you will transform warehouse data into scalable, self-service data models and artifacts (such as metrics and dashboards) that reveal insights and enable teams across Finance, Product, and Engineering.What You’ll Do:Lead the architecture, optimization, and transformation of finance and product-centric data models in DBT, facilitating flexible analysis for Data Analysts/Scientists and self-service options for business stakeholders.Design and implement data validations to maintain data integrity across our pipelines and ensure the accuracy of our reporting.Foster transparency throughout the entire data pipeline by establishing robust processes with upstream data producers and downstream data-consuming tools (BI, Reverse ETL, experimentation).Advance agentic tooling and automation initiatives that reduce the time spent on data issue investigations, allowing the team to focus on analyses.Implement software engineering best practices, including version control and continuous integration, to enhance the quality of analytics code.

Join our innovative team at kin as a Senior Analytics Engineer where you will play a pivotal role in shaping our data strategy. In this fully remote position, you will leverage your expertise to transform complex data into actionable insights that drive decision-making across the organization. We are looking for a passionate individual who thrives in a fast-paced environment and is eager to contribute to our mission of delivering exceptional value through data analytics.

Join Philo: The Ultimate Streaming Service for TV and Movie Enthusiasts At Philo, we are a passionate team of technology and product innovators committed to revolutionizing the television landscape. By merging state-of-the-art technology with the captivating medium of TV, we are creating the viewing experience we've always desired. This involves utilizing cloud delivery, modern technology stacks, machine learning, and meticulously crafted native app experiences across all our platforms. Our goal is to provide a seamless streaming experience while pioneering next-generation multi-screen and multi-user playback functionalities. The Importance of Data at Philo Data is at the core of everything we do at Philo. It informs our business strategies, enhances our streaming quality, supports product experiments for optimizing user journeys, and simplifies the process for users to discover the perfect content. With over a billion streams delivered annually, our data generates immense value across the organization. Philo's data platform operates at a massive scale, processing trillions of events each year within a petabyte-scale data lake and facilitating thousands of analytical queries that drive decision-making throughout the company. Our Data Engineering team integrates both data engineering and analytics engineering. As a Senior Analytics Engineer at Philo, you will lead the data modeling layer that transforms raw event and application data into reliable, clean data products that the entire company depends on—ranging from metric definitions and dimensional models to a governed semantic layer ensuring consistent metrics for all. You will collaborate closely with data scientists, analysts, and business stakeholders to comprehend their analytical needs and translate them into well-structured, well-documented, and efficient data products using dbt and Snowflake. We are dedicated to delivering a high-quality, trustworthy data platform for the entire organization, employing both cutting-edge technologies and established engineering practices in close cooperation with all departments. Our analytics engineering stack is centered around dbt and Snowflake, enhanced by tools such as Segment, Avo, and BigEye, which facilitate event tracking, data quality, and observability. Recent projects undertaken by our analytics engineers include the development of new models for vital financial data, dbt model design and refactoring, metric definition and governance, cost optimization per query in Snowflake, and the establishment of data quality testing and documentation frameworks. About the Role We are seeking a Senior Analytics Engineer to take ownership of our analytics initiatives...

THE ROLEMissionWe are seeking a Senior Analytics Engineer who is driven by a passion for converting raw data into reliable, actionable insights that will catalyze the growth of Origin Financial. As one of the founding members of our data team, you will play a pivotal role in developing the infrastructure of our data ecosystem, encompassing everything from modeling and pipeline architecture to dashboard creation and stakeholder empowerment.This position acts as a nexus between analytics and engineering, where you will be tasked with designing scalable data products and pipelines while collaborating with Product, Marketing, and Engineering teams to ensure that data remains at the core of every decision we make.ResponsibilitiesDesign and maintain scalable data architecture, pipelines, and models utilizing dbt, Airflow, and Redshift.Create reusable datasets that facilitate analytics, experimentation, and business intelligence.Partner with Engineering to define standards for event tracking and instrumentation.

Join Reddit as a Senior Analytics Engineer, where you will play a pivotal role in shaping the future of our Sales and Marketing analytics. Collaborate closely with Data Scientists and cross-functional teams to create, optimize, and implement data and analytic tools that propel our business growth. Your expertise will ensure that we maintain high-quality data standards, enhancing our capacity to reach millions of users effectively.

Join Coinbase as a Senior Analytics Engineer, where you will lead the development of robust analytics solutions that empower our financial analytics platform. You will collaborate with cross-functional teams to derive insights from complex datasets, enabling strategic decision-making. Leverage your expertise in data modeling, ETL processes, and business intelligence tools to elevate our analytics capabilities and drive our financial initiatives forward.

About the RoleJoin us as a Forward Deployed Engineer, where you'll be at the crucial nexus of our innovative product offerings, robust platform, and valued customers. You'll play a pivotal role, bridging the worlds of Backend Software Engineering, Platform Engineering/SRE, and Solutions Architecture. While our core feature development is a global effort, you will be responsible for the production environment and ensuring its seamless delivery to our customers. You will delve into the codebase to diagnose, manage, and resolve critical bugs, while also architecting tools to enhance platform stability and contributing to our core product to preemptively mitigate issues. Engaging directly with customers, you will assess their needs and adapt existing technologies or create new solutions accordingly.A Day in the LifeTroubleshoot Customer Issues: As the first line of defense against complex technical escalations, you will triage reported issues, replicate them in secure environments, and often resolve them directly. For more intricate fixes, you will translate production data into reproducible test cases, empowering the offshore team and maintaining our development momentum. Your goal is not just ticket resolution; it's about addressing the root cause of customer challenges.Contribute to Core Product Development: As a builder, you will enhance our TypeScript/Node.js backend by developing new features and refactoring legacy code. You will ensure that customer support issues lead to lasting engineering enhancements.Optimize and Scale: You will oversee the health of the US production environment, optimizing slow Postgres queries, managing database locking strategies, and creating internal tools (like data de-identification pipelines) that enable our global team to deliver faster and more securely.Embrace Flexibility: You will skillfully balance high-impact customer needs, core development tasks, and the maintenance of production health and quality.

About UsAt Optro, we are proud to be the premier platform for audit, risk management, ESG, and InfoSec, having achieved over $300M in Annual Recurring Revenue. Our innovative technology is trusted by more than half of the Fortune 500, including 7 of the Fortune 10, to enhance their operational clarity and agility. Our commitment to excellence has earned us top ratings on G2.com and Gartner Peer Insights.We foster a culture of innovation and teamwork, constantly exploring new ways to support our clients and positively impact our community. This dedication has led us to be recognized as one of the 500 fastest-growing tech companies in North America by Deloitte for seven consecutive years.Why You'll Love This OpportunityWe are on the lookout for a Senior Data Analytics Engineer to construct and scale the enterprise data infrastructure that supports our Post-Sales and Product Engineering teams. This pivotal role collaborates with Customer Success, Renewals, Professional Services, Support, Customer Education, and Product teams to ensure that reliable and well-governed data drives informed decisions throughout the customer journey.You will be responsible for designing and maintaining scalable data pipelines, optimizing data models, and setting governance standards that enhance retention forecasting, risk management, operational efficiency, product telemetry insights, and AI capabilities. This is a transformative chance to influence how Optro utilizes customer and product data to foster growth, protect revenue, and drive innovation.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines that process and transform data from Salesforce, Gainsight, Rocketlane, Zendesk, Snowflake, product telemetry, and other essential systems.Act as a strategic partner with Customer Ops & Analytics, Enterprise Data Engineering, and Product Operations teams to lead the design of scalable data solutions.Develop dependable data models that underpin renewal forecasting, churn prediction, customer health scoring, professional services metrics, support performance, and product usage analytics.Implement CI/CD, data testing, and documentation best practices to ensure scalable, secure, and auditable data transformations.Enhance warehouse performance and data architecture for efficiency, cost-effectiveness, and reliability.

Embark on an adventure with Ventura TRAVEL – a collection of specialized travel brands dedicated to inspiring the explorer in everyone! As part of our Data team, we strive to empower our members with precise data and proactive insights, enabling informed decisions. We are in search of a dependable and proactive Analytics Engineer to enhance our digital marketing analytics framework. You will design, develop, and manage comprehensive data solutions—from collection and integration to modeling and reporting—to support our mission of fostering sustainable tourism globally. You will report directly to our Data Manager and collaborate within a dynamic international IT Department, surrounded by talented, compassionate, and passionate individuals. Your daily responsibilities will include: Connecting to and collecting data from various sources and APIs. Addressing data processing challenges and transforming stakeholder needs into robust, scalable solutions. Utilizing analytics tools to enhance our web presence and improve acquisition performance. Creating and maintaining dashboards and visualizations that effectively communicate insights to stakeholders. Ensuring data quality through validation, testing, and thorough documentation. Collaborating with marketing and other teams globally, enhancing your skills and perspective through the development of end-to-end data solutions. Qualifications you bring to the table: Strong experience with SQL and Python for data processing. Familiarity with Git for version control. Confidence in using AI tools to enhance efficiency. Solid skills in data visualization and reporting. Practical experience with web and marketing analytics tools, such as Google Analytics and Google Tag Manager. Professional communication skills in English (both written and spoken). A collaborative mindset, capable of gathering requirements and communicating with non-technical stakeholders. You can further impress us with: Experience with BigQuery and Looker Studio. Exposure to Machine Learning or Data Science projects. What we offer you: Engaging tasks and objectives. Creative freedom in achieving results. A supportive and inclusive work environment.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

Tiger Analytics is seeking a talented Senior Manager with expertise in Camunda BPMN to lead our innovative business process management initiatives. In this remote role, you will be responsible for guiding teams in the development and implementation of BPM solutions, ensuring alignment with organizational goals and client needs.

Join Metropolis as a Senior Analytics Engineer, where you will leverage your expertise in data analytics to drive impactful decisions. In this dynamic role, you will collaborate with cross-functional teams to develop data models and analytical solutions that enhance our business performance.Key responsibilities include designing and implementing data pipelines, conducting complex analyses, and presenting findings to stakeholders. You will play a crucial role in shaping our analytics strategy and ensuring data quality across the organization.

Tiger Analytics stands as a frontrunner in AI and advanced analytics consulting, dedicated to enabling Fortune 1000 companies to tackle their most significant business challenges. Our mission is to redefine the potential of AI, delivering data-driven insights for a more promising future. With a diverse team of over 6,000 technologists and consultants spanning five continents, we are at the forefront of developing innovative ML and data solutions at an extensive scale. Join us to contribute to impactful work and influence the landscape of enterprise AI.Are you passionate about creating and innovating within the technology sector? Do you thrive on resolving complex business challenges within a dynamic, collaborative, and inclusive environment? At Tiger Analytics, you will join a vibrant community of creators, innovators, and problem-solvers dedicated to fulfilling real customer needs. We are looking for Data Engineers who are enthusiastic about integrating data with cutting-edge technologies.

Tiger Analytics is at the forefront of leveraging AI and analytics to address some of the most challenging issues that organizations face worldwide. We deliver tailored solutions driven by data and technology for numerous Fortune 100 companies. With a presence in various cities across the US, UK, India, and Singapore, we also maintain a significant global remote workforce.If you are enthusiastic about tackling business challenges through the analysis of structured and unstructured data on a grand scale, we invite you to explore opportunities with Tiger Analytics. We are currently seeking skilled professionals in Technology Consulting and Solution Delivery.Key ResponsibilitiesRequirement Gathering: Collaborate closely with clients and business subject matter experts (SMEs) to identify pain points within Medicare and Medicaid processes, particularly focusing on claims management. Provide thorough insights into business procedures, industry regulations, and user requirements.Evaluation and Use-Case Recommendations: Assess and recommend AI, analytics, software, and engineering use cases that effectively address client challenges related to complex business logic and user workflows.Solution Design: Offer critical insights and guidance to project teams, ensuring solutions accurately reflect the intricacies of the Medicare and Medicaid domain, particularly concerning claims management. Partner with analytics and technology consulting teams to align on effective solutions, sharing insights on crucial processes, personas, and tools.Validation and Review: Evaluate project deliverables, design documents, and test cases to guarantee alignment with domain knowledge and industry best practices.Training and Knowledge Management: Provide education to project teams on Medicare/Medicaid domain-specific terminology and standards. Assist in creating capability assets, including documents and demonstrations for the Medicare & Medicaid Line of Business within Tiger’s Consulting, Data Science, and Engineering Practice.

Join Shippo as a Senior Analytics Engineer, where you'll play a crucial role in shaping our shipping solutions. Your primary focus will be on driving analytical strategies that influence key decisions and enhance our operational efficiency. You'll partner with leadership and various teams to identify significant challenges and convert complex business inquiries into well-structured analytical frameworks.Your Responsibilities Include:Collaborating with product, operations, and go-to-market teams to pinpoint impactful problems and develop structured analytical solutions.Presenting insights and strategic recommendations to executives to influence business decisions.Gaining a thorough understanding of domain challenges, competitive landscape, and growth opportunities.Owning key business metrics and KPIs, ensuring they are well-defined and communicated across various stakeholders.Building Scalable Data Infrastructure:Designing, building, and maintaining dimensional data models using dbt to support analytics.Creating self-service dashboards and reporting tools in Looker/Databricks to empower teams.Establishing data quality standards to ensure stakeholders can trust the insights provided.