Analytics Engineer - Senior Analyst
Huron Consulting Group28 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, test, deploy, and support ETL/ELT pipelines, data models, curated datasets, semantic models, dashboards, and reports.
- Build scalable data pipelines using SQL, Python, Databricks, cloud data services, and relational or analytical databases.
- Develop and optimize Power BI reports, dashboards, data models, relationships, measures, calculated columns, DAX logic, filters, and drill-throughs.
- Translate business requirements into technical designs, metrics, data models, reporting-ready datasets, and tested analytics deliverables.
- Create technical specifications, data mappings, source-to-target logic, test plans, deployment notes, and support documentation.
- Troubleshoot data quality, refresh, semantic model, DAX, visualization, access, pipeline, and report performance issues.
- Support peer reviews, code reviews, pull requests, release readiness, deployment validation, QA, UAT, and defect remediation.
- Ensure solutions meet security, confidentiality, compliance, data governance, documentation, and supportability standards.
- Identify opportunities to automate repeatable tasks, reuse data assets, improve delivery processes, and optimize model and report performance.
- Provide guidance to Analysts and contribute to knowledge-sharing sessions, reusable templates, technical notes, and internal best practices.
- Collaborate effectively with global teams, stakeholders, and virtual delivery environments across multiple time zones.
Requirements
- 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 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.
- Knowledge of dimensional modeling, normalization, reporting grain, relationship design, and performance-aware Power BI modeling.
- Exposure to cloud data services including Azure Data Factory, Azure storage/containers, AWS S3, AWS Glue, Lambda, Athena, Redshift, and RDS.
- Experience with Git, Azure DevOps, CI/CD workflows, sprint delivery, pull requests, and structured release processes.
- Strong troubleshooting, documentation, communication, analytical thinking, collaboration, and teamwork skills.
- Ability to work independently with limited supervision, escalate risks appropriately, and explain technical issues to technical and non-technical audiences.
- Experience working with global teams across multiple geographies and time zones.
Tech Stack
Categories
Data Engineering
About Huron Consulting Group
Huron Consulting Group is a global professional services firm that provides strategy, operations, digital, and technology consulting to healthcare, higher education, life sciences, and commercial organizations. Revenue comes from advisory and implementation engagements, including cloud transformations on platforms such as Workday, Salesforce, and Oracle, and software like the Huron Research Suite for universities. Founded in 2002 and headquartered in Chicago, it is a public company listed on NASDAQ.