Role Description 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 and 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. - 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 Qualifications - 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 Requirements - Experience with business intelligence tools, preferably Sigma - E-commerce or marketplace business experience preferred - Regulated industry experience - nice to have Benefits - 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

Role : Senior SAP Analytics Cloud (SAC) Consultant Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Senior SAP Analytics Cloud (SAC) Consultant Job Location: Bridgewater, New Jersey - 08807 Onsite/Hybrid: Remote We are seeking an experienced Senior SAP Analytics Cloud (SAC) Consultant with over 7 years of expertise in designing, implementing, and optimizing SAC solutions. The ideal candidate will have strong skills in dashboard development, planning models, predictive analytics, and integration with SAP and non-SAP systems, ensuring actionable insights and enterprise-wide reporting. Key Responsibilities - Design and develop interactive dashboards, reports, and visualizations using SAP Analytics Cloud. - Build and optimize planning models, forecasting, and predictive analytics solutions. - Collaborate with business stakeholders to gather requirements and translate them into SAC solutions. - Integrate SAC with SAP BW, SAP HANA, SAP S/4HANA, and other enterprise systems. - Ensure data accuracy, governance, and security compliance across SAC applications. - Perform performance tuning and optimization of SAC reports and models. - Support system upgrades, migrations, and new feature implementations. - Provide end-user training, documentation, and knowledge transfer. - Mentor junior consultants and contribute to best practices and standards in SAC development. Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field - 7+ years of experience in SAP BI/Analytics, with at least 3–5 years in SAP Analytics Cloud. - Strong expertise in: - SAC story building, dashboards, and visualizations - Planning models, predictive analytics, and smart insights - Integration with SAP BW, SAP HANA, and S/4HANA - Data modeling, scripting, and calculation logic - Experience with SAP BusinessObjects, BW/4HANA, or other BI tools. - Knowledge of cloud deployment models and hybrid architectures. Preferred Qualifications - SAP Certified Application Associate – SAP Analytics Cloud. - Experience with SAP Datasphere, SAP BTP, and SAP Analytics Cloud Planning. - Exposure to machine learning integration with SAC. - Familiarity with Agile methodologies and DevOps practices. Soft Skills - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. - Ability to work in fast-paced, global enterprise environments. Education - Bachelor's or Master's degree in Computer Science, Engineering, or related field Visa & Compliance - Candidates must be eligible for new H-1B filing - OPT, STEM OPT, CPT (with required experience), H-1B transfer, - All filings will be handled as per USCIS and DOL compliance guidelines Why Join Us - Opportunity to work with leading enterprise clients - Transparent H-1B process and long-term project visibility - Strong recruiter and legal support - Career growth across multiple technology domains we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Analyze large volumes of web navigation and digital behavior data, transforming them into strategic insights • Structure and model Digital Analytics data, ensuring consistency and quality of information • Develop and maintain data pipelines (ETL/ELT) for data ingestion, transformation and provisioning • Implement and maintain tagging and digital data collection on web platforms and applications • Create and manage dashboards and analytical reports for different business areas • Work in partnership with product, marketing, technology and business teams to understand requests and propose data-driven solutions • Ensure best practices for data governance, privacy and security throughout the processing lifecycle • Contribute to the construction and evolution of data products and analytical datasets

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the Ads business at Netflix. We design effective metrics, conduct analyses and develop analytic tools, and build predictive models and algorithms using machine learning - all with the goal of creating more choices and joy for our members. As an Analytics Engineer, you’ll help design foundational datasets, metrics, and dashboards to measure the success of the Ads business and generate insights by scoping and executing deep dive analysis. You’ll work closely with partner teams, such as Product and Data Engineering, to gain a deep understanding of key user needs and business problems, and drive analytical projects to solve them in this 0 to 1 space. This is an exciting opportunity to be a founding member of this new business area for Netflix! Responsibilities - Lead the creation of metrics that provide insight and help with decision-making - Develop high-impact dashboards and analyses to build visibility into the health of our ad platform, ad operations, and lead efforts to scale reporting through automation - Facilitate information self-service to business users through data pipelines and custom analytic tools - Collaborate effectively with senior analytics engineers and cross-functional partners to identify gaps or opportunities and drive analytical projects to solve them. Qualifications - Experience conducting analysis and providing recommendations to inform key business decisions, as well as building effective metrics and dashboards - Comfortable with SQL and Python; some exposure to ETL and data warehousing - A strong communicator with an interest in building strong stakeholder relationships - Excited to learn about new fields with the ability to be scrappy and adapt as needed - Comfortable with ambiguity; able to thrive with some oversight in a fast-paced space - While it’s a bonus if you have prior experience in Ads, it’s not required for this role! Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $421,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.