• Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights • Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup • Design and maintain data models that consolidate data from multiple marketing platforms and sources • Map and document data flows across complex, multi-source schemas • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations • Manage and enhance data transformations with dbt • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness • Use Git for version control and collaboration

Role Description C-edge is seeking a Data Analyst to contribute to the success of our newly awarded Information Technology Support Services, US Army Reserve, 88th Readiness Division contract. The Data Analyst provides distributed data analysis support across the 88th RD Area of Operations. This analyst applies advanced statistical techniques, builds data models, and creates visualizations to support G6 initiatives and improve readiness. Coordinates closely with the on-site team. - Perform remote data collection, cleaning, transformation, and analysis. - Apply statistical methods and machine learning techniques to datasets. - Develop visualizations and dashboards using Tableau, Power BI, or similar tools. - Deliver actionable recommendations to stakeholders at technical and non-technical levels. - Coordinate with on-site Fort McCoy DABAL team and COR/DGR. - Stay updated on emerging data analysis technologies. - All other duties as assigned. Qualifications - 2-3 years of relevant data analysis experience. - Strong understanding of statistical concepts, data analysis methodologies, and business operations. - Experience with Python, R, SQL, and advanced Excel. - Experience with data modeling, predictive analytics, and machine learning techniques. - Experience with Tableau, Power BI, or similar data visualization platforms. - Working knowledge of hypothesis testing, regression analysis, and time series analysis. - Ability to collect, clean, transform, and manipulate large datasets. - Strong analytical, problem-solving, and communication skills. - Ability to work independently in a self-starting, remote environment. Requirements - Education: Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. - Certifications/Training: - DoD Cyber Awareness Training (required prior to network access and annually thereafter; IAW DoDD 8140.01/DoDM 8140.03/AR 25-2) - AT Level I Awareness Training (within 30 calendar days of performance start) - iWATCH Army Training (within 30 calendar days of performance start) - ATCTS (Army Training Certification Tracking System) registration required - Other Requirements: Travel requirements vary (5–20%) annually - Physical Requirements: - Employees must be able to sit at a workstation for extended periods of time. - They should be able to use their hands to handle or feel objects, tools, or controls, as well as reach with their hands and arms. - The ability to talk, see, and hear is also required. - Employees must be capable of working on a desktop or laptop computer for long duration. - Occasionally, they may need to lift and move moderate amounts of weight, typically no more than 20 pounds. - Regular and predictable attendance is essential. - The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. - C-edge will make reasonable accommodations to enable individuals with disabilities to perform the essential functions and in compliance with the Americans with Disabilities Act of 1990. Benefits

Role Description We are looking for a Senior level Data Architect/Analyst with demonstrated problem-solving expertise and practical experience designing, analyzing, and supporting both OLTP and OLAP systems. Qualifications - Recent hands-on experience in a Data Analyst (DA) role performing: - Data modeling for OLTP and OLAP/EDW - Source-to-target data mappings - Writing complex transformation rules - Multi-Role Capability: - Data Analyst (DA) primary role: Data modeling, mapping, profiling, and documentation - Business Analyst (BA) mindset: Gathering, clarifying, and documenting business and technical requirements directly with stakeholders - Project Manager mindset: Planning, organizing, and tracking their own technical work when no formal PM is assigned - Strong Communication & Problem-Solving Skills: - Clear, professional written and verbal communication in English - Ability to explain complex technical concepts to both technical and non-technical stakeholders - Ability to analyze ambiguous or complex problems - Identify and document root cause - Propose and execute viable, practical solutions - Data Modeling & Architecture: - Experience designing and maintaining physical data models by translating business requirements into scalable solutions - Familiar applying enterprise modeling best practices across EDW and OLTP, including: - Kimball dimensional modeling - Medallion architecture - Normalized (3NF) transactional models - Solid knowledge of OLTP modeling, including SQL Server temporal tables - Working understanding of XML and XSD - Experience in Fail Fast Execution - Data Engineering & Platform Experience: - Hands-on experience with cloud and enterprise data platforms, including: - Azure - Microsoft Fabric (preferred) - AWS (acceptable) - Experience implementing data distribution and partitioning strategies - Senior-level on SQL expertise, including: - T-SQL and PL/SQL - DDL/DML creation - Ability to create and troubleshoot stored procedures, views, functions - Data Governance Responsibilities: - Experience ensuring analytics and reporting data adheres to data governance standards - Experience acting as a technical data steward for assigned domains - CI/CD & Version Control (preferred) - Tools & Technologies (Hands-On preferred): - Data modeling tools: Erwin (preferred), ER/Studio or equivalent accepted - Development tools (preferred): Visual Studio Code, XMLSpy - Programming: Python (working knowledge required) - SDLC & Delivery Methodologies: - Experience working in Waterfall, Agile / SCRUM, Sprint-based delivery models - AI & Modern Analytics Practices (Nice to See, Strong Plus) - Development Background (preferred): - Hands-on development experience in cloud data platforms Requirements - Time Zone Availability - Central Time - Contractor Expectations: This role requires hands-on delivery, not advisory/consulting work Benefits - Join us and be part of this journey towards greater opportunities and brighter futures.

• Serve as the primary analytical resource for understanding what's working and what isn't across the business • Analyze product performance by LTV, refunds, and churn to identify which products drive value and which destroy it • Build and monitor retention curves segmented by cohort, acquisition channel, and product mix • Identify customer leakage points across the lifecycle and surface actionable findings • Evaluate acquisition channel quality based on downstream retention and churn behavior • Uncover untapped growth opportunities within the existing customer base • Own and maintain dashboards and run ad hoc analyses for the leadership team • Proactively surface insights and trends without waiting to be asked • Partner with the CRO manager on experimentation analysis • Drive alignment across teams on how to define and measure key metrics — ensuring everyone is working from the same source of truth • Collaborate with the marketing team on acquisition analytics • Support leadership on strategic questions and decisions