Role Description Analytics Engineering plays a crucial role in building robust and reliable data pipelines and data models that enable data-driven decision-making, powering various analytics, AI, and machine learning initiatives within Coursera. In addition, Analytics Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. As a Staff Analytics Engineer, you will be architecting high quality and scalable data pipelines powering business critical applications, leading enterprise wide data modeling strategies and driving a culture of transparent, well-governed data systems. You will collaborate with both technical and cross-functional leaders to lead and set direction on how we craft and look at data, while driving industry accepted standards on data governance, discoverability, and accessibility. You will craft technical decisions and design trade-offs to ensure we can speedily deliver on ambitious, innovative goals while building the foundations for extension and scale in years to come. Responsibilities - Architect scalable data models and construct high quality ELT pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, and Sigma. - Design, build, and launch self-serve analytics products from data consumption to data discovery and enablement. - Be a technical leader for the team, inspiring others with your proficiency in technical and architectural designs for major team initiatives. - Be a data leader for the business, increasing data literacy and resolving data gaps. - Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. - Develop new tools and frameworks in collaboration with other engineers to enhance data access and efficiency. Qualifications - 10+ years experience in data/analytics engineering with expertise in data architecture, pipelines, and reporting. - Expert experience with relational databases, DRY data modeling practices, and efficient SQL code generation. - Expert experience with some of: AWS, Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub; Databricks and dbt preferred. - Expert experience with crafting and driving self service reporting solutions with hands on experience in BI Tools; Looker or Sigma preferred. - Strong experience implementing Data Observability frameworks (e.g., Monte Carlo, Great Expectations) at an enterprise level. - Strong hands on experience with AI tools such as Claude, Gemini, Cursor and its role in streamlining data processing and enabling data democratization. - Strong experience with data lake architecture and batch and streaming architectures. - Strong experience in driving industry standards in data governance and technical best practices. - Strong ability to communicate technical concepts clearly and concisely to leadership. - Proven relationships with business end users with clear understanding of how data is used to power business decisions. - Independence and passion for innovation and learning new technologies. Preferred Qualifications - Strong Experience leading cross-functional RFCs (Request for Comments) and driving technical standards across multiple engineering pods or business disciplines. - Strong experience with data lake architecture and batch and streaming architectures. - Proven track record building feature stores or data pipelines specifically for LLM fine-tuning and RAG architectures. - Strong track record of leadership and mentorship in elevating data culture, preferably in a remote environment. Compensation / Location At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are. - This role is only available for hire in [insert location] - US Zone 1: $188,000 - $235,000 - US Zone 2: $182,000 - $228,000 - US Zone 3: $167,000 - $209,000 - US Zone 4: $156,000 - $195,000

• Build the Data Foundation • Design and operate the end-to-end gameplay analytics ecosystem. • Define tracking, storage, processing, and reporting architecture. • Own data correctness and make judgement calls when quality checks flag anomalies. • Drive AI-Native Analytics • Build the semantic layer that translates raw gameplay data into validated gameplay and business concepts. • Develop AI-driven automated reporting, dashboards, and insight-generation workflows. • Evaluate and implement AI tools, agents, and workflows that improve analytics speed, reliability, and depth. • Review AI-generated code and analytics on critical paths before they reach production. • Generate Product Intelligence • Identify opportunities, risks, anomalies, and trends across gameplay and player behavior. • Support product, balancing, design, and leadership teams with data-driven recommendations. • Translate complex datasets into clear, actionable insights. • Set the Agentic Bar • Help define how the wider engineering organization adopts agentic practices. • Establish standards for tooling, review processes, quality gates, and what "done" means when agents generate most of the implementation.

Role Description Looking for Philippines-based candidates. Job Role: Analytics Engineer Compensation range: $2,000 AUD - $3,000 AUD / Monthly Engagement type: Independent Contractor Agreement Work Schedule: This role is expected to align with the AU business hours (approx. 9 AM - 5 PM, Monday to Friday) for collaboration, but as a contractor, you’ll have flexibility in how you manage your time. Role Overview: - The analytics engineer builds the Gold layer and dbt Semantic Layer for each dataset phase. - Translates the metrics register definitions into governed, tested Gold models and MetricFlow metric definitions. - Works closely with business stakeholders during metric validation sessions. - Explains metric calculation choices in plain English. - Takes on support with AI monitoring responsibilities in steady state. - Comfortable with evolution in responsibilities, ideally with exposure to LLM API integration or ML monitoring. Qualifications - Advanced experience with dbt Semantic Layer and MetricFlow. - Advanced SQL expertise. - Basic Python scripting skills for automation and monitoring tasks. - Intermediate experience with Power BI / MS Fabric (or similar BI tools). - Intermediate experience with Atlan or similar data catalog tools. - Strong retail domain knowledge. - Strong communication and stakeholder management skills. - AI Tooling & Data Platform Experience. Requirements - Build Gold layer dbt models, including metric-level aggregations, KPI tables, and denormalized summary tables optimized for BI consumption in Sigma. - Author dbt Semantic Layer metric definitions using MetricFlow. - Populate and maintain the business glossary for each completed dataset. - Participate in business validation sessions with the onshore team and business stakeholders. - Author and maintain dbt Explorer documentation. - Support ongoing Run operations by managing metric change requests. - Collaborate with stakeholders and cross-functional teams. Benefits - This is a remote role that will be set up as an independent contractor engagement. - Successful candidates will be expected to disclose any existing ongoing roles or client work. - Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”).

Role Description This position is needed to advance the quality, reliability, and strategic value of Twilio’s Go-To-Market (GTM) data by designing and maintaining a robust business data layer to enable trusted sales analytics, reporting, data science, & AI capabilities. The Staff, Analytics Engineer will play a mission-critical role in driving cross-functional alignment within GTM Data Science & Analytics and Sales Operations on key Sales & Finance business metrics, ensuring data consistency and empowering data-driven decision-making. Responsibilities - Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics. - Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions. - Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards. - Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review. - Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences. Qualifications - Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment. - Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt. - Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment. - Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability. - Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. Benefits - Competitive pay - Generous time off - Ample parental and wellness leave - Healthcare - Retirement savings program - And much more (offerings vary by location) Compensation Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. - Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $155,520 - $194,400. - Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640 - $205,800. - Based in the San Francisco Bay area, California: $182,960 - $228,700. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application Deadline Information Applications for this role are intended to be accepted until July 31st 2026, but may change based on business needs. Company Description Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.