Analytics Engineer - Senior Analyst

About this role

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Skills you'll use

What you'll do

• Design, develop, test, and support Data & Analytics solutions, including ETL/ELT pipelines, data models, curated datasets, semantic models, dashboards, and reports.
• Build and maintain scalable data pipelines using SQL, Python, Databricks, cloud data services, and relational or analytical databases.
• Develop and optimize Power BI reports and dashboards that translate business requirements into actionable insights, interactive visuals, and standardized reporting experiences.
• Build and maintain Power BI data models, relationships, measures, calculated columns, DAX logic, report pages, filters, drill-throughs, and security-aware reporting structures.
• Work with data from Databricks, cloud data platforms, data warehouses, APIs, files, and relational databases to create reusable reporting-ready datasets.
• Partner with Product Owners, BI Developers, Data Engineers, QA, and stakeholders to clarify requirements, define metrics, validate business logic, and align report outputs to business definitions.
• Create technical specifications, data mappings, source-to-target logic, test plans, deployment notes, and support documentation based on conceptual designs and business requirements.
• Independently troubleshoot data quality, data refresh, semantic model, DAX, visualization, access, pipeline, and report performance issues.
• Support peer reviews, code reviews, pull requests, release readiness, and deployment validation using Git, Azure DevOps, and CI/CD practices where applicable.
• Collaborate closely with QA to validate data accuracy, visual behavior, dashboard functionality, model relationships, and defect remediation.

Who can apply

• Bachelor’s degree in engineering, Information Systems, Data Analytics, Business Analytics, or a related field.
• 2–4 years of relevant experience in data engineering, analytics engineering, business intelligence, Power BI development, reporting, or software/data platform delivery.
• Hands-on experience with SQL, Python, ETL/ELT development, data mapping, data validation, and data modeling.
• Experience working with data warehouses, data lakes, Lakehouse platforms, or analytical database engines such as Databricks, Snowflake, Redshift, SQL Server, PostgreSQL, or similar platforms.
• Experience developing Power BI dashboards, reports, semantic models, DAX measures, data transformations, and visualization solutions.
• Ability to understand complex business requirements and translate them into technical designs, data models, dashboards, and tested analytics deliverables.
• Working knowledge of dimensional modeling, normalization, reporting grain, relationship design, and performance-aware Power BI modeling.
• Exposure to cloud data services such as Azure Data Factory, Azure storage/containers, AWS S3, AWS Glue, Lambda, Athena, Redshift, RDS, or comparable services.
• Experience with Git, Azure DevOps, CI/CD workflows, sprint delivery, pull requests, and structured release processes.
• Strong troubleshooting skills across data pipelines, Databricks notebooks, SQL logic, Power BI refreshes, DAX calculations, access issues, and report performance.

About Huron

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