Data Analytics Engineer

Partner with Sales and Finance to build sales analytics that improves decision-making on pricing, discounting, mix, customer/segment performance, and channel. Create executive-ready insight narratives and repeatable analytic decision frameworks. Integrate and reconcile ERP and non-ERP sources, including customer POS feeds, CRM, external/industry signals, customer master enrichment, and spreadsheets. Design and own curated analytics datasets and reusable dimensional models as a single source of truth for Sales and Finance analytics. Establish consistent KPI definitions through a metrics/semantic layer approach. Implement testing, documentation, and data-quality practices. Deliver certified datasets, reusable templates, and clear consumption patterns for safe self-service. Establish training and enablement through office hours, best-practice templates, documentation, and analytics community rituals. Build an Analytics COE operating model focused on standards, adoption, and scalable enablement. Produce and manage a 12–18-month analytics capabilities roadmap. Implement analytics CI/CD patterns, including version control, release discipline, and peer review. Introduce governed modern tools and AI-assisted analytics experiences supported by trusted semantic metrics. Mentor and technically lead as a player/coach and guide a data engineer. Requirements 8–10+ years in analytics/BI/data roles with evidence of business impact and cross-functional partnership Expert SQL and strong data modeling, including facts, dimensions, and performance awareness Ability to create reusable analytics assets, including certified datasets, metric definitions, and semantic consistency Strong business acumen and ability to proactively propose analyses Ability to mentor and lead technically as a player/coach and guide a data engineer Proficiency in MS Office Background experience with SAP Business Objects, QlikView, or Cognos highly desirable Knowledge of SharePoint, Access, and JDE Enterprise One 9.0 highly desirable Proficiency in word processing, spreadsheets, email, and order processing software Strong relational database knowledge MS SQL Server 2008/2012/2014 development Understanding of reporting tools such as SAP Business Objects XI, Cognos, and QlikView MS Analysis Services development Knowledge of SSIS, stored procedures, triggers, and performance tuning Strong knowledge and experience in the Software Development Life Cycle SCRUM experience and certification is a plus Ability to write reports and business correspondence in English Ability to effectively present information and respond to questions from managers, clients, customers, technicians, and assemblers in English Ability to frequently sit, stand, walk, stoop, kneel, use hands, and reach with hands and arms Ability to lift up to 10 pounds occasionally Ability to work in a moderate-to-loud noise environment and near fumes, airborne particles, toxic or caustic chemicals, and moving mechanical parts Core Competencies Demonstrates expertise in analytics and business intelligence, with a strong focus on SQL, data modeling, and the creation of reusable analytics assets. Proven ability to mentor and lead teams while driving impactful decision-making through data-driven insights. Highest-signal resume keywords Expert SQL Data Modeling Analytics CI/CD Patterns SAP Business Objects Strong Business Acumen ATS Optimization Keywords Hard Skills Data Quality Practices Certified Datasets Metric Definitions Relational Database Knowledge MS SQL Server Development SSIS Stored Procedures Performance Tuning Software Development Life Cycle SCRUM Soft Skills Mentoring Technical Leadership Proactive Analysis Proposal Effective Presentation Certifications & Qualifications SCRUM Certification Industry Keywords Sales Analytics KPI Definitions Analytics COE Executive Insight Narratives Cross-Functional Partnership Tools & Technologies MS Office QlikView Cognos SharePoint Access JDE Enterprise One 9.0 MS Analysis Services #J-18808-Ljbffr