{"id":2412002,"url":"https://alion.io/job/huron-analytics-engineer-senior-analyst","title":"Analytics Engineer - Senior Analyst","company":{"id":3031,"name":"Huron","domain":"huronconsultinggroup.com","url":"https://alion.io/company/huron","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-13T03:33:09Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.\nAs a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.\nJoin our team and create your future.\nIn the Data & Analytics Senior Analyst role, you will work with Data Engineers, Power BI Developers, Data Architects, QA teams, product owners, project teams, and business/practice stakeholders to design, develop, test, deploy, and support Huron’s enterprise analytics and reporting solutions. This role combines hands-on data engineering capability with Power BI and business intelligence development responsibilities.This role will support Corporate IT, Software Development, and business/practice teams across the US and India. Under limited guidance, you will contribute as an independent technical analyst responsible for delivering data pipelines, curated datasets, semantic models, dashboards, reports, and analytics features that improve how Huron uses data to make decisions.\nYou will participate in the full analytics delivery lifecycle, including requirements analysis, solution design support, data engineering, data modeling, Power BI development, DAX calculations, testing, performance tuning, documentation, deployment support, and issue remediation. You will also help junior analysts understand project context, technical standards, QA expectations, and reusable delivery practices.\nKey Responsibilities\nDesign, develop, test, and support Data & Analytics solutions, including ETL/ELT pipelines, data models, curated datasets, semantic models, dashboards, and reports.\nBuild and maintain scalable data pipelines using SQL, Python, Databricks, cloud data services, and relational or analytical databases.\nDevelop and optimize Power BI reports and dashboards that translate business requirements into actionable insights, interactive visuals, and standardized reporting experiences.\nBuild and maintain Power BI data models, relationships, measures, calculated columns, DAX logic, report pages, filters, drill-throughs, and security-aware reporting structures.\nWork with data from Databricks, cloud data platforms, data warehouses, APIs, files, and relational databases to create reusable reporting-ready datasets.\nPartner 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.\nCreate technical specifications, data mappings, source-to-target logic, test plans, deployment notes, and support documentation based on conceptual designs and business requirements.\nIndependently troubleshoot data quality, data refresh, semantic model, DAX, visualization, access, pipeline, and report performance issues.\nSupport peer reviews, code reviews, pull requests, release readiness, and deployment validation using Git, Azure DevOps, and CI/CD practices where applicable.\nCollaborate closely with QA to validate data accuracy, visual behavior, dashboard functionality, model relationships, and defect remediation.\nSupport UAT cycles by preparing validation evidence, explaining report logic, resolving defects, and coordinating with business stakeholders.\nEnsure solutions follow Huron standards for security, confidentiality, compliance, data governance, documentation, and supportability.\nIdentify opportunities to improve delivery processes, automate repeatable tasks, reuse data assets, and improve model/report performance.\nUse approved AI-enabled and productivity tools responsibly to accelerate documentation, testing, analysis, and troubleshooting while validating outputs and protecting client/company data.\nProvide guidance to Analysts on assigned tasks, technical approach, documentation quality, testing discipline, and Power BI/data engineering fundamentals.\nContribute to knowledge-sharing sessions, reusable templates, technical notes, and internal best practices.\nWork effectively across global teams, time zones, and virtual delivery environments.\nPerform other projects and tasks as assigned.\nPreferred Qualifications\nBachelor’s degree in engineering, Information Systems, Data Analytics, Business Analytics, or a related field.\n2-4 years of relevant experience in data engineering, analytics engineering, business intelligence, Power BI development, reporting, or software/data platform delivery.\nHands-on experience with SQL, Python, ETL/ELT development, data mapping, data validation, and data modeling.\nExperience working with data warehouses, data lakes, Lakehouse platforms, or analytical database engines such as Databricks, Snowflake, Redshift, SQL Server, PostgreSQL, or similar platforms.\nExperience developing Power BI dashboards, reports, semantic models, DAX measures, data transformations, and visualization solutions.\nAbility to understand complex business requirements and translate them into technical designs, data models, dashboards, and tested analytics deliverables.\nWorking knowledge of dimensional modeling, normalization, reporting grain, relationship design, and performance-aware Power BI modeling.\nExposure to cloud data services such as Azure Data Factory, Azure storage/containers, AWS S3, AWS Glue, Lambda, Athena, Redshift, RDS, or comparable services.\nExperience with Git, Azure DevOps, CI/CD workflows, sprint delivery, pull requests, and structured release processes.\nStrong troubleshooting skills across data pipelines, Databricks notebooks, SQL logic, Power BI refreshes, DAX calculations, access issues, and report performance.\nAbility to create clear technical documentation, user-facing notes, test evidence, and operational support procedures.\nDemonstrated ability to work independently with limited supervision while escalating risks and blockers appropriately.\nStrong communication skills with the ability to explain technical issues to both technical and non-technical audiences.\nSuccessful experience working with global teams across multiple geographies and time zones.\nStrong interpersonal, collaboration, analytical thinking, and teamwork skills.\nPosition Level\nSenior 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