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Experience Level
Manager
Qualifications
Extensive experience in analytics engineering and data management. Proven leadership skills with the ability to mentor and guide team members. Strong proficiency in data analytics tools and programming languages such as SQL, Python, and R. Excellent problem-solving abilities and analytical thinking. Ability to communicate complex technical concepts to non-technical stakeholders.
About the job
rula seeks a Senior Analytics Engineering Manager to lead a remote team within the United States. This position shapes how data guides decisions throughout the organization.
Key responsibilities
Direct the creation and implementation of analytics solutions that help teams make informed choices.
Oversee and mentor analytics engineers, supporting their professional growth.
Encourage strong practices in analytics engineering and data management across the team.
Team and impact
This role manages a group of analytics professionals and plays a central part in how rula uses data to drive business outcomes.
Remote work
This position is fully remote and open to candidates located anywhere in the United States.
About rula
rula is a forward-thinking company committed to leveraging data to drive business success. We believe in fostering a collaborative and innovative work environment that empowers our employees to excel. Join us and be part of a team that values creativity, integrity, and excellence!
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.
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
Full-time|Remote|Remote — New York, New York, United States
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
Full-time|On-site|Wilmington, Delaware, United States
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.
Join Nagarro as a Senior Data Analytics Engineer, where you will leverage your expertise in data analysis to drive impactful business decisions. You will work with a diverse team to develop data-driven strategies and enhance performance across various projects. This is an exciting opportunity for professionals eager to make significant contributions in a dynamic, fully remote environment.
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.
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.
Full-time|Remote|Remote — Pomona, California, United States
PM2CM, Inc. (Project Management to Construction Management) is a distinguished professional services firm and certified SBE and DBE, committed to delivering exceptional Program and Project Management, Construction Management, and Project Controls services throughout the design and construction phases of various projects. Our specialization in Project Controls encompasses Scheduling, Cost Controls, Document Management, Budget Tracking, Monitoring, Estimating, Risk Analysis, Claims Avoidance and Mitigation, Change Management, and Earned Value Management.Our mission is clear: to provide and deliver top-tier project management, construction management, and project controls services that empower our clients to proceed with confidence.To fulfill our mission, we prioritize a thorough understanding of project scope and our clients’ corporate needs. We are dedicated to delivering our services with integrity and exceptional professionalism, employing only the most qualified professionals.This role is remote with occasional in-person team meetings in Pomona, CA.About the Role:We are on the lookout for a seasoned Senior Data Engineering & Analytics Lead who will spearhead data strategy, construct scalable data infrastructures, and provide actionable insights that facilitate strategic decision-making across the organization.Key Responsibilities:Direct the design, development, and implementation of scalable data engineering solutions, including ETL processes, data modeling, and data pipeline architecture for extensive and intricate datasets.Utilize advanced analytical and statistical techniques to create forecasting, economic modeling, and performance analysis that addresses complex business challenges.Build intuitive dashboards and visual analytics utilizing Power BI, Excel (Power Query), SAS, and other BI tools to assist cross-functional stakeholders.Convert analytical insights into concise reports, metrics, and executive-level narratives that inform strategic operations and decisions.Conduct comprehensive project data analysis to uncover patterns, trends, and opportunities for process improvements and enhanced reporting capabilities.Develop and maintain detailed technical documentation and provide data support to leadership, operational teams, and business partners.Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.
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 Our TeamAt Tango, we're dedicated to revolutionizing the way work gets done. We've developed an innovative platform that automates tedious tasks, enabling teams to become more productive and efficient.With Tango, users can effortlessly create and share detailed how-to guides in just minutes:▶ Capture any process as you execute it Tango automatically generates comprehensive guides and can create automations or in-app guidance Easily share, embed, or pin guides within your existing tools, providing your team with seamless access.As a rapidly growing product-led startup, Tango serves hundreds of thousands of users across well-known companies like Cox, Salesforce, Gusto, Klaviyo, and Lockheed Martin. Supported by top-tier venture capital firms, including Slack Fund, Salesforce Ventures, Atlassian Ventures, Wing VC, General Catalyst, GSV Ventures, Tiger Global, and Hubspot, we are on an exciting growth trajectory.We envision a future where Tango learns your workflows and applies automation and intelligent agent features to assist with routine tasks. Join us in shaping this future!
rula seeks a Senior Analytics Engineering Manager to lead a remote team within the United States. This position shapes how data guides decisions throughout the organization. Key responsibilities Direct the creation and implementation of analytics solutions that help teams make informed choices. Oversee and mentor analytics engineers, supporting their professional growth. Encourage strong practices in analytics engineering and data management across the team. Team and impact This role manages a group of analytics professionals and plays a central part in how rula uses data to drive business outcomes. Remote work This position is fully remote and open to candidates located anywhere in the United States.
Join The Athletic as a Director of Data & Analytics and lead our efforts in leveraging data to drive strategic decision-making. In this pivotal role, you will oversee a talented team dedicated to transforming data insights into actionable strategies that enhance our user experience and business performance.As a remote position, you will have the flexibility to work from anywhere in the U.S., while collaborating closely with cross-functional teams to develop data-driven solutions that align with our organizational goals.
renewhome is seeking a Senior Data Scientist specializing in product analytics. This is a fully remote role open to candidates based in the United States. Key responsibilities Analyze product performance data to identify trends and highlight areas for improvement. Build predictive models to guide product enhancements and future development. Collaborate with teams across the company to inform product strategy and support decision-making. Location This position is remote within the United States.
About Tailscale Tailscale is revolutionizing the way we connect on the Internet by providing software that allows for secure interconnectivity between individuals and their devices, irrespective of their location. From enthusiastic hobbyists to large multinational enterprises, teams of all sizes leverage Tailscale daily to secure their networks, share access to critical internal tools, and much more. We are committed to creating a future for the Internet that is intuitive, sensible, and secure, reminiscent of its earlier days. Established in 2019 and operating fully remotely, we are supported by prominent investors such as Accel, CRV, Insight, Heavybit, and Uncork Capital.Job DescriptionWe are on the lookout for a proactive Analytics Engineer who flourishes in dynamic and complex environments, adept at converting ambiguity into clarity. You will join a dedicated data team facing numerous impactful challenges across billing, finance, product, go-to-market strategies, and business operations.You are a curious individual who asks insightful questions, delves deep to grasp underlying mechanics, and enjoys transforming loosely defined user issues into scalable, dependable data solutions. You are not hesitant to question existing assumptions, reevaluate processes, or engage with intricate systems. Your contributions will enable teams to work more effectively through streamlined models, automated workflows, and reliable, accessible data.This role is perfectly suited for someone with robust experience in delivering production-quality analytics engineering solutions who is eager to take on increased responsibility and expand their influence as the team grows.
Full-time|$155K/yr - $205K/yr|Remote|San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S.
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...
Full-time|$190.8K/yr - $267.1K/yr|Remote|Remote - United States
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.
Join our dynamic team at Dropbox as a Data Engineer specializing in Analytics Data Engineering. In this pivotal role, you will design and implement robust data pipelines that empower our analytics teams to derive insights and drive business decisions. You will work with cutting-edge technology and collaborate with cross-functional teams to ensure the integrity and efficiency of our data systems.
Full-time|$102.2K/yr - $160.6K/yr|On-site|Vancouver, Washington, United States; Waltham, Massachusetts, United States
At ZoomInfo, we drive career growth by fostering an environment that is fast-paced, innovative, and empowering. You will work alongside passionate teammates who challenge one another and celebrate collective achievements. Our tools and supportive culture are designed to help you make a significant impact and achieve your ambitions swiftly.About the RoleWe are looking for a Senior Analytics Engineer who will become the authority on our data pipeline—the backbone that ingests, processes, and profiles millions of company records to enhance our clients' go-to-market strategies.In this position, you will develop a profound understanding of how our data flows from acquisition through profiling and output. You will analyze code to grasp data transformations and system dependencies, contribute informed perspectives to design discussions with Engineering and Product, and help guide the evolution of our next-gen data infrastructure. As you master our systems, you will play a critical role in leading strategic data improvement initiatives that require both systemic thinking and innovative problem-solving.This role is not focused on merely building dashboards or SQL reports; it centers on comprehending data systems at an architectural level, addressing complex data challenges, and ensuring our pipeline infrastructure evolves consistently to fulfill client needs and sustain our competitive edge.You will collaborate closely with fellow data analysts during an active infrastructure transition phase. As systems stabilize and your expertise deepens, you will gradually take ownership of more pipeline architecture and strategic projects. This role offers substantial growth potential for those eager to become the go-to technical expert in our data systems.
Join Us at TrafileaAt Trafilea, we are redefining the landscape of consumer technology through our innovative platform designed to drive transformative brand growth. We are on a mission to build the AI Growth Engine that will empower the next generation of consumer brands.With over $1 billion in cumulative revenue, more than 12 million satisfied customers, and a talented workforce of over 500 professionals across 19 countries, we merge cutting-edge technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.As owners and operators of our own brands—proudly not an agency—we have a significant presence in leading retailers such as Walmart, Nordstrom, and Amazon, along with a robust global direct-to-consumer (D2C) footprint.Why Choose Trafilea?We are a tech-driven eCommerce group dedicated to scaling our globally cherished DTC brands while fostering rapid growth for our talented team members. We innovate and scale our own brands. We are at the forefront of AI and automation in eCommerce. We embrace fast testing and rapid growth. Join a diverse, dynamic global team. Enjoy a fully remote work environment, competitive salaries in USD, paid time off, and additional benefits.Key ResponsibilitiesWe are seeking a Senior Analytics Engineer (Business Intelligence) to spearhead our marketing and business intelligence initiatives. This pivotal role integrates data engineering, analytics, and business impact, ensuring our reports are reliable, scalable, and conducive to informed decision-making.Your contributions will be essential in refining our marketing reporting platform, crafting high-quality data models, and collaborating with stakeholders to convert data into impactful insights.Core Activities1. Ensure Reporting Reliability & Data QualityGuarantee that dashboards and reports are accurate, dependable, and consistently accessible.Establish monitoring, alerting, and service level agreements for crucial reporting assets.Analyze and resolve data discrepancies with thorough root-cause investigations.2. Develop Scalable Data ModelsCreate and enhance SQL transformations and data models.Boost dataset performance and optimize reporting queries.Minimize redundancy by centralizing business logic within the data layer.3. Deliver High-Impact BI SolutionsConstruct and sustain dashboards, reports, and analytical tools.Translate business requirements into scalable BI solutions.Execute projects with clear timelines and predictable outcomes.4. Guarantee Data Trust & ObservabilityIntroduce data validation checks and anomaly detection.Proactively discover issues before they affect stakeholder operations.
