Senior Analytics Engineer

Description We are hiring in Latin America! At Dev. Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity.

We invite a Senior Analytics Engineer to join a technology consulting firm focused on the wholesale distribution industry and the Infor CloudSuite Distribution ecosystem. In this role, you’ll lead the design, implementation, and ongoing support of business intelligence solutions, taking ownership of the analytics stack, from ERP data and data modeling to dashboards and reports for end users. You’ll work across different data sources and platforms, helping clients get accurate, consistent reports and building reusable solutions for future projects.

What's in it for you: Take on complex, hands-on analytics work and help shape a growing analytics practiceWork across modern analytics platforms, including Microsoft Fabric, Power BI, and Infor BirstOwn end-to-end BI solutions that turn ERP data into trusted reporting for day-to-day business decisions✅ Is that you?10+ years in BI, analytics engineering, or data warehousing, including client-facing or multi-business-unit deliveryStrong Power BI expertise: data modeling, advanced DAX, Power Query/M, performance tuning, deployment management, and row-level securityHands-on Microsoft Fabric experience: lakehouses/warehouses, Dataflows Gen2, pipelines, and semantic modelsAdvanced SQL and query tuning for large transactional tablesETL/ELT design, including incremental loads, slowly changing dimensions, error handling, and schedulingDimensional modeling: star schemas, fact tables, conformed dimensions, and data grainExperience extracting ERP data and reconciling reports against the system of recordAbility to turn ambiguous business needs into technical designs and explain them to non-technical stakeholdersUpper-Intermediate+ English level for confident client communicationStrong documentation skills and experience supporting production analytics solutionsWillingness to learn and work with additional analytics platformsExperience using AI tools in development and interest in conversational analyticsDesirable: Strong Azure data platform experience alongside Microsoft FabricHands-on Infor Birst skills: spaces, logical modeling, connectors, dashboards, and securityFamiliarity with Infor CloudSuite Distribution, SX.e, or Infor ION/Data Lake and their underlying data structuresExperience with Phocas or similar distribution-focused BI productsWholesale distribution knowledge: order-to-cash, purchasing, inventory, pricing, margins, and fill ratesExperience with ERP-embedded analytics tools and the trade-offs of extending versus replacing themPython or Spark for data transformation; Git and CI/CD for analytics assetsMicrosoft certifications (PL-300, DP-600, DP-700) or equivalentExperience in consulting, MSP, VAR, or ERP partner environments, supporting multiple client tenantsFamiliarity with Power Automate, Power Apps, and DataverseKey responsibilities and your contributionIn this role, you'll lead the development, implementation, and ongoing improvement of analytics solutions for clients. Design and build data platforms in Microsoft Fabric; lead Power BI implementations end to endEstablish analytics governance standards for clientsLead Infor Birst implementations, extensions, and ongoing support; build and maintain spaces, logical models, hierarchies, measures, and security filters against Infor CSD dataExtend and troubleshoot CSD dashboards and reports; resolve data refresh, connector, and performance issuesProfile data from Infor CSD and related systems, and design reliable, low-impact extraction and ingestion processesPreserve raw data for reprocessing; handle change capture and deletes to prevent data lossIngest non-ERP data and map it to conformed dimensions for analysis alongside ERP data, resolving data inconsistencies during ingestionMonitor solutions with failure alerts, row-count and freshness checks, and schema-drift detection; document recovery stepsBuild and maintain pipelines that transform ERP data into dimensional models for analysisWrite and tune SQL; implement incremental loads and data quality checksSupport clients using platforms such as Phocas with data feeds, mapping, model design, and ERP integration; advise on platform suitability and maintenance costsUse AI tools to improve development, data profiling, documentation, and testing; deliver conversational analytics, prepare semantic models for natural-language queries, and evaluate emerging AI analytics capabilitiesTranslate distribution business needs into data requirements and working solutions; create technical documentation, runbooks, and handover materialsTrain and support client power users in extending analytics contentBuild reusable templates, models, and accelerators to facilitate future implementationsInterested?

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