Senior Analytics Engineer - OP02284-OS

Sobre a oportunidade

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 practice

Work across modern analytics platforms, including Microsoft Fabric, Power BI, and Infor Birst

Own 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 delivery

Strong Power BI expertise: data modeling, advanced DAX, Power Query/M, performance tuning, deployment management, and row-level security

Hands-on Microsoft Fabric experience: lakehouses/warehouses, Dataflows Gen2, pipelines, and semantic models

Advanced SQL and query tuning for large transactional tables

ETL/ELT design, including incremental loads, slowly changing dimensions, error handling, and scheduling

Dimensional modeling: star schemas, fact tables, conformed dimensions, and data grain

Experience extracting ERP data and reconciling reports against the system of record

Ability to turn ambiguous business needs into technical designs and explain them to non-technical stakeholders

Upper-Intermediate+ English level for confident client communication

Strong documentation skills and experience supporting production analytics solutions

Willingness to learn and work with additional analytics platforms

Experience using AI tools in development and interest in conversational analytics

Desirable:

Strong Azure data platform experience alongside Microsoft Fabric

Hands-on Infor Birst skills: spaces, logical modeling, connectors, dashboards, and security

Familiarity with Infor CloudSuite Distribution, SX.e, or Infor ION/Data Lake and their underlying data structures

Experience with Phocas or similar distribution-focused BI products

Wholesale distribution knowledge: order-to-cash, purchasing, inventory, pricing, margins, and fill rates

Experience with ERP-embedded analytics tools and the trade-offs of extending versus replacing them

Python or Spark for data transformation; Git and CI/CD for analytics assets

Microsoft certifications (PL-300, DP-600, DP-700) or equivalent

Experience in consulting, MSP, VAR, or ERP partner environments, supporting multiple client tenants

Familiarity with Power Automate, Power Apps, and Dataverse

🧩Key responsibilities and your contribution

In 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 end

Establish analytics governance standards for clients

Lead Infor Birst implementations, extensions, and ongoing support; build and maintain spaces, logical models, hierarchies, measures, and security filters against Infor CSD data

Extend and troubleshoot CSD dashboards and reports; resolve data refresh, connector, and performance issues

Profile data from Infor CSD and related systems, and design reliable, low-impact extraction and ingestion processes

Preserve raw data for reprocessing; handle change capture and deletes to prevent data loss

Ingest non-ERP data and map it to conformed dimensions for analysis alongside ERP data, resolving data inconsistencies during ingestion

Monitor solutions with failure alerts, row-count and freshness checks, and schema-drift detection; document recovery steps

Build and maintain pipelines that transform ERP data into dimensional models for analysis

Write and tune SQL; implement incremental loads and data quality checks

Support clients using platforms such as Phocas with data feeds, mapping, model design, and ERP integration; advise on platform suitability and maintenance costs

Use 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 capabilities

Translate distribution business needs into data requirements and working solutions; create technical documentation, runbooks, and handover materials

Train and support client power users in extending analytics content

Build reusable templates, models, and accelerators to facilitate future implementations

Interested? Find out more:

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Originally posted on Himalayas