Analytics Engineer Location: New York City, New York Analytics Engineer (Hybrid NY) Overview: The Analytics Engineer at Weedmaps will be a key technical contributor within our Data organization, supporting various aspects of the business. In this role, you will build and maintain data pipelines and analytics frameworks to answer business questions and enable root cause problem solving. You will collaborate extensively with business, engineering, product, and data science teams to drive data-informed decision making across our customer acquisition and retention strategies. The ideal candidate combines strong technical skills with e-commerce domain knowledge and can translate business requirements into scalable data solutions that deliver measurable impact on our growth metrics. As part of our Data organization, you will develop robust analytics systems that address unique challenges in our marketplace, including user journey exploration, customer and product analytics. The explosive growth of the cannabis industry requires increasingly sophisticated analytics solutions that can scale with our business and comply with complex regulatory requirements. The impact you'll make: - Design fault-tolerant dbt models to synthesize data from multiple sources into mart tables - Design and implement Sigma dashboards and Streamplit apps to provide clear insights into performance - Automate regular reporting workflows to reduce manual effort and increase data consistency - Create self-service tools that empower business teams to access insights independently - Analyze experiment results to identify opportunities for improving ROI - Develop and maintain data pipelines using SQL within modern data stack tools (Snowflake, DBT, Metaplane) - Create and document data models that transform raw data into reliable, business-ready datasets with accompanying dictionaries and testing - Implement data quality checks and testing frameworks to ensure the accuracy and reliability of analytics What you've accomplished: - 4+ years of experience in data engineering, or similar technical role - 2+ years of experience in analytics engineering - Experience with modern data warehouse platforms, preferably Snowflake - Expertise in SQL and data modeling with dbt - Proficiency in Python Bonus points: - Experience with business intelligence tools, preferably Sigma - E-commerce or marketplace business experience preferred - Regulated industry experience - nice to have The base pay range for this position is $170,000.00 - $193,363.00 per year 2026 US Benefits for Full Time, Regular Employees: - Physical Health (Medical, Dental & Vision) - 100% employer-paid premium for employees - Up to 80% coverage for dependents - Company HSA contribution with the High Deductible Health Plan - 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) - Basic Life, Voluntary Life and AD&D Insurance options - Supplemental, voluntary benefits - Student Loan Repayment/529 Education Savings with a monthly company contribution - FSA (Medical, Dependent, Transit and Parking) - Voluntary Life and AD&D Insurance - Critical Illness Insurance - Accident Insurance - Short- and Long-term Disability Insurance - Pet Insurance - Identity theft protection - Legal access to a network of attorneys - PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) - Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

• Responsible for managing business critical data engineering processes and data architecture solutions in order to enable analytical and reporting solutions • Responsible for analyzing and preparing the data needed for data science based outcomes • Managing and maintaining metadata data structures • Deliver results in a timely manner using agile methodologies • Design, build, and maintain scalable ETL/ELT data pipelines integrating data from asset management, logistics, ticketing, ERP, and procurement systems • Develop and manage data models and integrations for Digital Workplace supply chain domains • Ensure data quality and governance by implementing validation rules • Own core dashboards and reports for PC and accessory volumes • Analyze trends and performance to identify bottlenecks, risks, and improvement opportunities • Partner with cross-functional teams to translate business needs into data solutions • Automate and optimize data and reporting processes

Role Description Mathematica is searching for Medicaid Data Analytics Analysts with interest in Medicaid policy and programs at either the state or federal level to support current and emerging data analytics work. Medicaid data analysts will likely be connected to 1-3 projects at a time, with many projects requiring work with multidisciplinary teams and direct client contact. Projects may span across several policy and programmatic areas: - Medicaid enrollment - Managed care programs - Value-based purchasing and alternative payment models - Long-term services and supports - Measures of delivery and quality of services for beneficiaries - Outcomes of innovative programs and policies Across all projects, Medicaid analysts are expected to: - Lead or participate actively and thoughtfully in project teams to implement, monitor, or evaluate policy and programs - Apply rigorous analytic thinking to the collection, analysis, and interpretation of quantitative data - Develop expertise in Medicaid data, policy, and programmatic areas - Leverage data visualization, business intelligence platforms, and emerging artificial intelligence (AI)-enabled tools to enhance analytic efficiency, insight generation, and reporting Specific project activities may include: - Assisting with quantitative analyses using Medicaid enrollment, claims/encounter, financial and program data to support program monitoring, improvement, or evaluation - Participating in decisions regarding analysis design and methodology - Reviewing policy, program, and/or data documentation to develop technical specifications for analyses - Working with developers to compile and analyze data - Investigating data to identify data quality issues, patterns, or other findings - Supporting the development of dashboards, data products, or visualizations using business intelligence tools (e.g., Tableau, Power BI, Amazon QuickSight) - Applying artificial intelligence (AI) or machine learning concepts, where appropriate, to support data exploration, pattern identification, documentation, quality assurance, or workflow efficiency - Translating analysis findings into actionable information to support clients in making data-driven decisions regarding Medicaid policies and programs - Providing technical assistance to federal and state Medicaid stakeholders to support the implementation of data collection, monitoring, and reporting programs - Authoring client memos, technical assistance tools, issue briefs, chapters of analytic reports, user manuals, and webinar presentations summarizing findings Qualifications - Master’s degree or equivalent in data analytics, public policy, economics, statistics, public health, data science, behavioral or social sciences, or a related field; or a Bachelor's degree and equivalent experience - Experience conducting quantitative analysis work in a health setting, with experience in Medicaid enrollment, claims, financial, or program data - Experience using programming languages or statistical software (e.g., SQL, Python, R, SAS, Stata) and business intelligence tools to analyze and visualize complex data - Familiarity with AI, machine learning concepts, or AI-enabled analytic tools and an understanding of their appropriate use in policy research and data analysis environments - Excellent written and oral communication skills, including an ability to write clear and concise policy and/or technical memos and documents for diverse stakeholder audiences including program administrators and policymakers - Demonstrated ability to work on multidisciplinary teams - Strong organizational skills and high level of attention to detail; flexibility to manage multiple priorities, sometimes simultaneously, under deadlines Requirements - Please submit a cover letter and resume. Writing samples are helpful, but not necessary. - This position offers an anticipated base salary of $70,000 - $90,000 annually. - Any offer of employment will be contingent upon passing a background check. - Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. - If you are assigned to such a project, you will be required to obtain the requisite security clearance. - If you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment. Benefits - Competitive salaries - Comprehensive benefits package - 100 percent employee owned - Financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our mission in the Foundational Data team is to build and maintain high quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs. By collaborating with cross-functional teams, you will have the opportunity to drive significant business impact. The Difference You Will Make: As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark. Leveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members. A Typical Day: - Develop high quality data assets to satisfy a wide range of use-cases - Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements - Collaborate and build strong partnerships with other data practitioners throughout Airbnb - Influence the trajectory of data in decision making - Improve trust in our data by championing for data quality across the stack - Influence event logging instrumentation best practices and participate in architecture designs Your Expertise: - 9+ years of experience with a BS/Masters or 6+ years with a PhD - Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala - Expertise using business intelligence and reporting tools like Superset and Tableau - Expertise in large-scale distributed data processing frameworks like Presto or Spark - Expertise in data modeling for data warehouses and/or metrics repositories - Experience with an ETL framework like Airflow - Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders - Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies - Experience exploring and leveraging LLM AI’s in every-day tasks (coding, documentation, etc…) - Strong capability to forge trusted partnerships across working teams Nice to have: - Scaling data tasks via automation - Previous experience in large-scale cloud-based software engineering or system architecture - Experience with AB experimentation - Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations. - Designing and/or leveraging high quality data visualization tools Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $194,000—$240,000 USD