Role Description CPAP.com is looking for an Analyst & CRO Specialist to serve as our core data analyst—the primary owner of reporting, analytics, and data infrastructure across the business, with conversion rate optimization as a key focus area. You'll be the go-to person for "what does the data say," building the dashboards and pipelines the whole company relies on, while also running the CRO testing program end to end. This is a hands-on, data-first role for someone who's equally comfortable modeling data in BigQuery, building a dashboard a non-technical stakeholder can read at a glance, and presenting a test readout to leadership. Qualifications - 4+ years in a data analyst, analytics, or BI role, ideally with e-commerce exposure - Strong SQL skills and real experience with data pipelines and data modeling - Direct experience with Google BigQuery - Comfort owning reporting infrastructure end to end — not just pulling numbers, but deciding how they should be structured and presented - Experience using AI tools (Claude, ChatGPT, MCP-based workflows) to accelerate analysis and reporting a plus - Experience with A/B testing platforms (Intelligems and/or Shoplift) - Experience with Shopify strongly preferred - Ability to write a clear test hypothesis and know when a result is actually significant - Excellent written and verbal communication — you'll be presenting findings to non-technical stakeholders across the company Requirements - Own the CRO testing roadmap: identify opportunities, prioritize by impact, and run A/B and multivariate tests end to end - Analyze site funnel, checkout, and PDP performance to find friction points and drop-off - Partner with dev and design teams to scope, build, and QA test variants - Report on test results with clear recommendations — win, lose, or inconclusive - Maintain a testing log and knowledge base so learnings compound over time Nice to Have - Experience with SourceMedium or similar attribution/reporting platforms - Experience with PostHog or similar product analytics tools - Experience in DTC health, wellness, or medical device e-commerce - Familiarity with subscription or bundle purchase flows - Basic HTML/CSS for reviewing or lightly editing test variants

Role Description We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI’s Closed-Loop Design Program — an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle. This role sits at the intersection of: - Data Engineering - Applied AI & Analytics - Supply Chain Automation - Solution Design You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development. This is an exciting opportunity for someone who enjoys building systems from the ground up, solving complex operational problems, and influencing how advanced automation solutions are designed and delivered. What You’ll Deliver: High-Impact Use Cases - RFP & Specification Intelligence: Extract requirements, generate compliance matrices, and identify clarifying questions automatically. - Cost & ROI Scenario Modeling: Support data-driven decision-making through option comparisons and sensitivity analysis. - Proposal “Fact Pack” Automation: Create scalable executive summaries and SOW-ready proposal content from governed datasets. - Design & Operational Analytics: Analyze throughput, staffing models, slotting strategies, and replenishment impacts. - Benchmark-Driven Solution Guidance: Leverage historical project data and comparable implementations to guide future designs. What You’ll Do - Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables. - Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control. - Develop applied analytics solutions including: - Forecasting - Scenario modeling - Optimization (LP/MILP or practical heuristics) - Similarity modeling and benchmarking - Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions. - Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy. - Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale. What Success Looks Like - Accelerate proposal development with intelligent, governed “first draft” solution packs. - Improve confidence and accuracy in complex automation pursuits. - Build scalable benchmarking capabilities that improve operational estimates over time. - Create data products that directly influence automation strategy and customer outcomes. Qualifications - 4+ years of experience in: - Data Science - Analytics Engineering - Applied Machine Learning - Strong SQL skills including: - Data modeling - Query optimization - Governance-ready dataset development - Hands-on experience with Databricks (Delta Lake, notebooks, jobs, SQL Warehouses) or similar enterprise data platforms. - Strong Python experience preferred for: - Data preparation - Modeling - Workflow automation - Ability to communicate assumptions, risks, and analytical outcomes clearly to technical and non-technical stakeholders. Preferred Qualifications - Experience in warehouse automation or intralogistics environments: - AMRs - AutoStore - Shuttle systems - Sortation - WES/WCS platforms - Experience with: - Forecasting - Optimization - Simulation / Digital Twin technologies - Decision-support analytics - Familiarity with document parsing and extraction workflows for RFP/specification processing. - Tableau experience including: - Curated dataset publishing - Dashboard performance optimization Benefits - Medical Insurance - Dental Insurance - Vision Insurance - Health Care Concierge Service - 401(k) Retirement Plan (Pre-tax & Roth) - Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability - Voluntary Life & AD&D Insurance - Voluntary Accident, Critical Illness & Hospital Indemnity Insurance - Pet Insurance - Milk Stork Program - Wellness Program with gift card redemption and wellness challenges - Paid Time Off (Vacation, Sick & 10 Holidays) - Training & Development

• Serve as the senior technical resource for our Business Intelligence and Data Analytics Support team. • Lead the investigation and resolution of complex customer issues involving data, analytics, and cloud platforms. • Perform root cause analysis and implement scalable, long-term solutions—not just quick fixes. • Review SQL and BI object changes while promoting development best practices. • Mentor and coach analysts, helping elevate the technical capabilities of the entire team. • Identify opportunities for automation and continuous improvement across support processes. • Lead root cause analysis meetings as necessary to dig into any thematic issues that crop up and how we can mitigate them • Help customers maximize the value of Arkatechture's analytics platform through technical guidance and best practices. • Partner closely with Customer Success to improve customer satisfaction, retention, and platform adoption. • Support customer meetings by offering technical expertise, hold office hours, expand upon Knowledge Base articles and Learning Management System training for customers. • Communicate complex technical concepts clearly to both technical and non-technical audiences. • Design, develop, troubleshoot, and optimize complex SQL solutions. • Troubleshoot ELT processes, data pipelines, and BI reporting environments. • Monitor and resolve issues with Tableau and Power BI dashboards and scheduled refreshes. • Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer solutions.

• Provide ad-hoc support to our global Sales and Sales Ops organizations to ensure accuracy of our Finance KPIs that impact revenue forecasting: ACV, ARR, Renewals • Bridge and reconcile financial metrics, from quote lines to ACV to ARR • Build reporting data sets and dashboards to support revenue-impacting projects or Sales initiatives • Collaborate closely with upstream CRM platform teams to ensure high level of data quality • Partner with Finance Data Engineering Team to investigate and drive solutions as the business evolves • Participate in financial month-end and quarter-end close process