Introduction As a Logistics Analyst, you will create and review distribution procedures and manage inventory to ensure maximum customer satisfaction and cost reduction. You will analyze and identify root cases and review our operations processes. The Logistic Analyst will report to the Distribution Operations Manager.What You Will Do: - Working with 3PL partners, manage day-to-day order flow and operational inquiries for warehouse locations servicing retail, ecommerce & customer service customers. - Manage Customer Compliance Program, from a logistics standpoint, ensuring all warehouses within the Americas region are adhering to retailer guidelines to minimize chargeback spend. - Project Manage warehouse projects working cross functionally to ensure on time and on budget completion. - Identify logistics areas for process improvement and cost savings to drive improved service and efficiency. - Support KPI measurement and analysis in all areas of warehousing and customer compliance. To Be Successful You Will Have: - Bachelor’s degree in business, systems engineering, supply chain management, or related field - 2-5 years’ work experience in Logistics, Supply Chain, Warehousing, or related fields. - A self-starter mentality with a high energy approach. - Strong analytical and problem-solving skills. - Ability to prioritize workloads and work in a fast paced and ever-changing work environment. - Strong verbal and written communication skills. - Familiarity with consumer products and large retailer portals. - Advanced proficiency in MS Excel. - ERP, WMS system experience. Oracle and Tableau experience a plus. - Travel up to 20% Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of any additional employment visas at this time.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. We’re looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance and Operations teams. You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, and financial data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, pricing, and AI product insights. This is a highly cross-functional role — you’ll partner closely with Product Management, Marketing, RevOps, Finance, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business. Responsibilities • Build & Own the Data Foundation ◦ Own and evolve our dbt project–ensuring models are performant, well-tested, and documented. ◦ Design and maintain the Snowflake data warehouse and ingestion processes. ◦ Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic. • Drive Data Quality & Automation ◦ Implement testing and observability for analytics pipelines ◦ Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals. ◦ Standardize metric definitions and ensure they are consistently computed across tools. • Cross-Functional Collaboration ◦ Act as data liaison between Engineering, GTM, and Finance—ensuring consistent metric definitions and proper system instrumentation. ◦ Enable stakeholder self-service access to trusted insights. ◦ Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve. Qualifications Must Have: - 5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment. - Deep expertise in SQL, dbt and modern data modeling best practices. - Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel). - Experience connecting marketing data (paid ads, campaigns, attribution) to product analytics–ideally having built end-to-end pipelines from ad platforms through to conversion and retention metrics. - Comfortable with large-scale data systems (Snowflake, BigQuery, Redshift). - Strong familiarity with CI/CD, Git-based workflows, and automated testing. - Experience collaborating cross-functionally with engineers, analysts, and product managers. - Demonstrated success using analytics to drive decisions in a technical or product-focused environment. - Comfort taking ownership of ambiguous problems and designing end-to-end solutions. Nice to Have: - Proficiency in Python for deeper analysis and automation. - Experience building and maintaining Airflow DAGs. - Experience with Spark and PySpark. What Success Looks Like - Establish a trusted, well-modeled analytics layer that product managers, marketers, and leaders rely on daily. - Improve data quality and reliability, with clear SLAs and observability around our most critical models. - Drive down time-to-insight by enabling self-serve access to high-quality datasets and metrics. - Extreme ownership over critical infrastructure and data models that directly impact product decisions and business growth. - Partner with data engineers and analysts to build a semantic layer that AI can use to answer stakeholder questions. Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. We’re looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance and Operations teams. You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, and financial data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, pricing, and AI product insights. This is a highly cross-functional role — you’ll partner closely with Product Management, Marketing, RevOps, Finance, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business. Responsibilities • Build & Own the Data Foundation ◦ Own and evolve our dbt project–ensuring models are performant, well-tested, and documented. ◦ Design and maintain the Snowflake data warehouse and ingestion processes. ◦ Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic. • Drive Data Quality & Automation ◦ Implement testing and observability for analytics pipelines ◦ Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals. ◦ Standardize metric definitions and ensure they are consistently computed across tools. • Cross-Functional Collaboration ◦ Act as data liaison between Engineering, GTM, and Finance—ensuring consistent metric definitions and proper system instrumentation. ◦ Enable stakeholder self-service access to trusted insights. ◦ Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve. Qualifications Must Have: - 5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment. - Deep expertise in SQL, dbt and modern data modeling best practices. - Proven experience working with event-based and product usage data (e.g., Posthog, Mixpanel). - Experience connecting marketing data (paid ads, campaigns, attribution) to product analytics–ideally having built end-to-end pipelines from ad platforms through to conversion and retention metrics. - Comfortable with large-scale data systems (Snowflake, BigQuery, Redshift). - Strong familiarity with CI/CD, Git-based workflows, and automated testing. - Experience collaborating cross-functionally with engineers, analysts, and product managers. - Demonstrated success using analytics to drive decisions in a technical or product-focused environment. - Comfort taking ownership of ambiguous problems and designing end-to-end solutions. Nice to Have: - Proficiency in Python for deeper analysis and automation. - Experience building and maintaining Airflow DAGs. - Experience with Spark and PySpark. What Success Looks Like - Establish a trusted, well-modeled analytics layer that product managers, marketers, and leaders rely on daily. - Improve data quality and reliability, with clear SLAs and observability around our most critical models. - Drive down time-to-insight by enabling self-serve access to high-quality datasets and metrics. - Extreme ownership over critical infrastructure and data models that directly impact product decisions and business growth. - Partner with data engineers and analysts to build a semantic layer that AI can use to answer stakeholder questions. Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

About Us: At Everly, our vision is to change the paradigm of insurance. We know life insurance can be confusing and complex. We know that most people purchase life insurance at a milestone moment and file it away for the future. We want to change how people think about, buy, and use life insurance by being a partner in life’s journey. We are focused on making things that matter, making meaningful connections, and making things work WAY better. Our goal is to provide radically transparent, consumer-first insurance solutions. We are looking for people with a continuous improvement mindset. Those who think the opposite of “This is how we’ve always done it”. We want people on our team who are always asking “How can we do this better?” Our company values are a guide to our behavior and help inform our decisions. We want people who embody those values of breaking down barriers, owning the outcome, embracing the journey, and sparking joy. This is a remote position based in the US with occasional travel. About the role: We're looking for a Senior Analytics Engineer, Data Platform to serve as the product owner of our analytics platform and hands-on technical lead for data platform engineering and governance. This is a senior individual contributor role with outsized impact - you'll operate as the technical authority for our data platform, setting direction, owning the roadmap, and rolling up your sleeves to build. In this role, you'll own the full data lifecycle from ingestion and transformation through to the semantic layer and executive dashboards that our leadership, operators, and actuaries depend on daily. Beyond building, you'll govern, ensuring our platform is compliant, well-documented, and resilient as the business scales. You'll work closely with the Head of Data, Head of Modeling, cross-stream data stewards, actuarial team, and third-party infrastructure partners. You'll also serve as a technical mentor to a junior Analytics Engineer and Data Scientist. The ideal candidate has deep hands-on engineering skills, a product mindset, and the communication ability to translate complex platform trade-offs to senior leadership. If you thrive at the intersection of data engineering, governance, and business intelligence — and want to shape the data foundation of a company reimagining life insurance — this role is for you. What You’ll Do: Platform Product Ownership - Own the analytics platform roadmap — prioritizing improvements, architecture decisions, and tooling enhancements in partnership with IT and the Head of Data, Analytics and AI Solutions - Define and enforce platform SLAs, data quality standards, and operational runbooks - Serve as technical mentor to the Analytics Engineer/Data Scientist Data Pipeline Ownership - Own the end-to-end data pipeline from ingestion through transformation and delivery into BI tools and data products across our AWS stack (Step Functions, Glue, Snowflake, dbt, Sigma) - Partner with third-party vendors to maintain DataOps infrastructure using infrastructure-as-code practices - Monitor pipeline health and drive timely resolution of data issues with providers and consumers Enterprise Data Modeling & Governance - Maintain and evolve an enterprise data model, data dictionary, and business rules agnostic across sources, insurance products, and distributors - Enforce Snowflake security best practices — masking policies, RBAC, and least-privilege access — aligned to GLBA NPI/NPI-H classification requirements - Champion data governance, lineage, and quality standards; support NAIC MDL-668 audit trails, SOC 2 Type II evidence collection, and adherence to CCPA/CPRA, HIPAA, and state breach notification requirements Systems of Record & AI Data Infrastructure - Design and maintain systems of record for core insurance domains (policy, claims, billing, distribution, customer) with proper versioning, effective dating, and audit history - Own database design and management for AI tools and models, including vector databases, feature stores, and model input/output pipelines Semantic Layer & BI - Design and maintain a semantic layer enabling natural language insight discovery - Own executive and operational dashboards from board-level reporting down to day-to-day operations - Set BI development standards for the Analytics Engineer/Data Scientist to execute against Actuarial & Advanced Analytics Support - Maintain and enhance actuarial data pipelines including distributed compute and Glue Jobs for data curation - Advise on data architecture decisions supporting future AI/ML and modeling use cases Skills and Experience: · Bachelor’s degree in computer science, Data Engineering, Statistics, Mathematics, or a related field — or equivalent work experience · 8+ years of experience in analytics engineering, data engineering, or a closely related role, with demonstrated progression in scope and ownership · Hands-on experience with dbt (data build tool) for transformation, data modeling, and testing at scale · Strong proficiency with Snowflake, including dynamic data masking, RBAC, performance optimization, and cost governance · Hands-on experience with AWS data services including Glue, Step Functions, S3, and Lambda · Strong SQL proficiency; Python required at this level (data pipeline development, scripting, automation) · Demonstrated experience owning a BI delivery roadmap and building dashboards for executive and operational audiences · Demonstrated experience building and maintaining enterprise data models and semantic layers in a multi-product, multi-source environment · Strong understanding of data governance, data quality frameworks, and privacy best practices · Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, or similar) · Working knowledge of data privacy and security compliance frameworks relevant to US life and annuity carriers, including GLBA, NAIC MDL-668. · Experience owning or contributing to a technical product or platform roadmap · Demonstrated ability to manage competing stakeholder priorities and communicate platform trade-offs to senior leadership Preferred - Experience in the life insurance or annuities industry strongly preferred; broader financial services considered - Experience with life - Exposure to actuarial data workflows or direct experience supporting actuarial teams - Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests, etc.) - Experience with Git-based version control and CI/CD workflows for data pipelines - Experience working with distributed compute frameworks (e.g., Spark via AWS Glue or EMR) - Familiarity with SOC 2 Type II control frameworks and evidence collection practices - Exposure to HIPAA requirements as they relate to underwriting or health-adjacent data - Familiarity with CCPA/CPRA and multi-state data breach notification obligations - Experience transitioning work from external vendors or consultancies to in-house - Exposure to AI/ML pipeline patterns or feature engineering in support of modeling teams Competencies · Platform ownership mindset — you think in systems, not tickets, and take accountability for the health of the entire data platform · Strong analytical mindset with high attention to detail and a zero-tolerance attitude toward data quality issues · Excellent written and verbal communication skills — able to translate complex platform trade-offs and technical concepts for senior non-technical stakeholders · Natural collaborator with experience working across engineering, business, actuarial, and compliance teams · Self-directed with the ability to manage competing priorities and drive clarity in ambiguous, fast-paced environments · A continuous improvement mindset — you're never satisfied with "good enough" and actively look for ways to raise the bar · Comfortable acting as a technical mentor and setting standards for more junior team members At Everly, we celebrate our diverse backgrounds and support our differences, and we are dedicated to equal employment opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We’re also committed to adding new perspectives to our team and invite applications from people of all walks of life. We understand that experience comes in many forms, so if you believe you’re close to what we’re looking for, please consider applying. Everly offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including: - Employees are eligible for an annual incentive bonus designed to reward for performance. - The salary range for this job in most geographic locations in the US is $130,000 to $152,000 - Candidates hired to work in other locations will be subject to the pay range associated with that location and will be reflected in the candidate’s offer letter. - Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day - Paid parental leave eligible after 3 months of service - Medical, Dental & Vision Insurance - 401k with company match - Profit Sharing & Savings Plan - Short-term and long-term disability insurance - Flexible spending account - Life insurance - Educational Assistance - Associate Assistance Programs and more! Visit the career section to apply and submit your resume. EOE