• Deploy Redpoint software based on client-approved Business Requirements and Design documents • Build ETL processes to consume 1st- and 3rd-party data into the marketing data repository using Redpoint Data Management • Develop into a subject matter expert in Redpoint Interaction, our Marketing/Campaign orchestration product • Collaborate with development team members and project leadership to implement solutions that meet project standards, escalating issues and challenges as needed • Provide support, troubleshooting, and forensic assistance for client implementations, both Redpoint-hosted and client-hosted • Collaborate with development teams to identify new product features and functionality • Support recruiting of qualified personnel as needed

• Develops specific marketing plans and activities for products and/or product lines to establish, enhance or distinguish product placement within the competitive arena • Provides thought leadership content and whitepapers that supports the positioning of the product • Contributes to the development and execution of a value proposition and messaging strategy for products in their portfolio • Converts the technical positioning of the product into key market messages, positioning collateral and sales tools prior to the launch of a new product • Articulates product propositions to clients and internal stakeholders, such as sales and consulting teams • Analyzes the competitive landscape and identifies the competitive differentiation of company product against competitor products • Drives market positioning programs and activities that are product-related, thereby clearly positioning the company and the product in the market • Creates client marketing/reference content such as datasheets, case studies, videos and references • Creates product presentation content that communicates the unique selling points, features and benefits of the product or solution • Works with internal teams to define and develop the required communication, training and other collateral that will enable the sales force to sell a particular product • Defines the content for and ensures the development of client collateral, sales tools, marketing programs, and sales programs • Influences the development of product go-to-market programs, initiatives and campaigns to drive awareness, interest and demand for the product • Tracks and monitors the success of the program on a scorecard or dashboard that reflects the associated metrics • Conducts product comparisons for new product initiatives and existing product enhancements and monitors product relevance in the context of changing market conditions and client dynamics

Role Description We are expanding our Data team and are in need of a rigorous Senior Analytics Engineer to partner closely with our Finance and Operations teams. This role will own the Finance/Operations data layer, bring new data into our warehouse from systems like NetSuite, Ramp, and Pigment, and build the dashboards and metrics leadership relies on to run the business. - Stakeholder Collaboration: Partner with Finance, Operations, and the rest of the Data team to understand business processes and source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts. - Data Infrastructure: Own the Finance and Operations data layer and build trusted, reusable data models that support reporting, analysis, and decision-making. - Data Integration: Design and document how data should flow between source systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni. - Data Quality: Create validation checks, reconciliation workflows, and exception reporting to improve trust in critical Finance/Ops data across source systems, Snowflake, and Omni. - Metric Governance: Define and govern key Finance/Operations metrics with business owners, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations. - Dashboard Development: Create and maintain dashboards, from executive-level summaries to granular self-serve analytics, to communicate performance metrics and support root-cause analysis. - Continuous Improvement: Identify and execute opportunities to automate manual data flows, reporting processes, and reconciliation workflows. Qualifications - 5+ years in an analytics role with exposure to financial or operational data sets. - Strong SQL skills and experience building reusable, well-structured data models in a cloud data warehouse environment, ideally Snowflake. - Experience with BI or semantic-layer tools such as Omni, Looker, Tableau, Power BI, or Sigma. - Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics. - Ability to understand business processes and translate them into data models, metrics, dashboards, and documentation. - Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs. - Comfort working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be forming. Requirements - Experience with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment). - Experience with wholesalers and EDI. Benefits - Competitive Salary + Equity Package - 401K matching - Wellness, learning, and home-office budgets - Health, Dental & Vision Medical Plans - Tremendous autonomy to set the direction of your work - Unlimited PTO - Company holidays on the first Friday of every month (Excluding November, December, and January)

• Data Modeling & Architecture: Design, build, and optimize modular dbt pipelines and performant technical schemas, setting the team standard for version control, unit testing, and velocity. • Cross-Functional Translation: Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ambiguous product requirements into robust data assets. • Platform Optimization: Diagnose performance bottlenecks to slash query latencies and lower warehouse compute costs across our modern data platforms, specifically aiding our strategic migration toward Snowflake. • Team Stewardship: Elevate the entire pod’s engineering culture by participating in rigorous peer code reviews, refactoring legacy technical debt, and enforcing strict data security standards up to the point of delivery. • Culture Multiplier: Actively mentor and pair with junior peers to unblock complex bugs, optimize engineering workflows, and natively adopt AI-assisted development tools to accelerate test generation and legacy code discovery.