{"id":1810432,"url":"https://alion.io/job/exl-associate-business-analyst","title":"Associate - Business Analyst","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":54,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Alation","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bash","optional":false},{"name":"BigQuery","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"GPT-4","optional":false},{"name":"Great Expectations","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Matillion","optional":false},{"name":"Matplotlib","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"Seaborn","optional":false},{"name":"Sentence-Transformers","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Statsmodels","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Weaviate","optional":false},{"name":"Data Vault","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-03T18:45:31Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-05T23:32:41Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nBI Analyst / Senior Consultant - Business Intelligence & AI\n\nJob Title\nBI Analyst / Senior Consultant - BI & AI\n\nExperience\n6-9 Years\n\nLocation\nHybrid / Remote\n\nJob Summary\nWe are seeking an experienced BI Analyst / Senior Consultant with 6-9 years of hands-on expertise in business intelligence, advanced analytics, and data engineering - combined with growing exposure to AI/LLM application development. The ideal candidate brings strong proficiency in SQL, Python, and PySpark for data processing, alongside deep BI platform expertise in Power BI or Tableau. They will have experience building governed semantic layers, developing scalable data pipelines, and integrating Large Language Model (LLM) capabilities into analytics workflows. This role sits at the intersection of traditional BI and next-generation AI-augmented analytics, making it ideal for a technically strong consultant ready to lead complex data initiatives.\nKey Responsibilities\nData Engineering & Pipeline Development\nWrite complex SQL queries, stored procedures, and optimized transformations across platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift.\nDevelop and maintain scalable data pipelines using Python and PySpark for large-scale batch and near-real-time data processing.\nBuild and manage ELT/ETL workflows using dbt, ADF, Airflow, or Fivetran to ingest structured and semi-structured data.\nImplement Spark-based data processing on Databricks or Azure HDInsight for high-volume analytics workloads.\nOptimize query performance through partitioning, clustering, caching strategies, and execution plan analysis.\nBI Development & Reporting\nDesign, develop, and deploy enterprise-grade dashboards and reports using Power BI (DAX, Power Query, Composite Models) and Tableau.\nBuild semantic models, calculated measures, KPI frameworks, and row-level security (RLS) configurations in Power BI or Looker.\nDevelop LookML models, explores, and views in Looker to expose governed data layers for self-service analytics.\nOptimize BI report performance through DirectQuery tuning, aggregation tables, and incremental refresh strategies.\nLead and mentor junior analysts in BI development standards, DAX best practices, and data modeling techniques.\nSemantic Layer & Dimensional Modeling\nDesign and maintain enterprise semantic models using dbt Semantic Layer, Power BI Semantic Models, Cube.dev, or AtScale.\nBuild dimensional models (Star Schema, Snowflake Schema) with fact and dimension tables optimized for analytical query patterns.\nDefine and standardize reusable business metrics, KPIs, hierarchies, and dimensions across reporting platforms.\nEnsure metric consistency and single source of truth across BI, dashboards, and AI-driven outputs.\nAI & LLM Application Development (Exposure Required)\nDevelop or contribute to AI-powered analytics applications using LLM APIs such as OpenAI GPT-4, Azure OpenAI, or Anthropic Claude.\nBuild Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain or LlamaIndex to enable natural language querying over structured and unstructured data.\nIntegrate LLM-generated insights, AI summaries, and conversational BI interfaces into existing Power BI or Tableau reporting workflows.\nUse Python libraries (openai, langchain, transformers, sentence-transformers) to prototype and deploy AI-driven analytics features.\nImplement vector search and embedding-based retrieval using tools such as FAISS, Pinecone, or Azure AI Search to surface contextual data insights.\nContribute to prompt engineering, fine-tuning strategies, and evaluation frameworks for LLM outputs in analytics contexts.\nExplore and apply AI-native BI capabilities such as Power BI Copilot, Tableau Pulse, and Looker Explore AI.\nAdvanced Analytics & Data Science Integration\nPerform exploratory data analysis (EDA) using Python (pandas, numpy, matplotlib, seaborn, plotly) to surface trends and business insights.\nCollaborate with data science teams to integrate ML model outputs (e.g., churn scores, forecasts, classification results) into BI reporting layers.\nDevelop statistical analyses, cohort analyses, and A/B test result reporting to support business experimentation.\nApply time-series analysis and forecasting techniques using Python (statsmodels, Prophet, scikit-learn) for business planning use cases.\nStakeholder Engagement & Consulting\nAct as a senior analytical advisor to business stakeholders, translating complex data findings into clear business narratives.\nLead requirement-gathering workshops, solution design sessions, and stakeholder demos for BI and AI analytics initiatives.\nDocument functional and technical specifications for data pipelines, semantic models, and BI solutions.\nParticipate in agile delivery - sprint planning, stand-ups, retrospectives - and manage delivery timelines for analytics workstreams.\nData Quality & Governance\nImplement data quality frameworks using dbt tests, Great Expectations, or custom SQL-based validation rules.\nMaintain data lineage, documentation, and metadata cataloging using tools such as Microsoft Purview, Alation, or dbt Docs.\nDefine and enforce data governance standards, access control policies, and compliance requirements across BI and data assets.\nRequired Skills\nProgramming & Query Languages\nSQL - Advanced: CTEs, window functions, query optimization, stored procedures, dynamic SQL\nPython - Proficient: pandas, numpy, matplotlib, seaborn, sqlalchemy, requests, pyspark\nPySpark - Experience with distributed data processing, DataFrame API, Spark SQL, and UDFs\nDAX - Advanced: calculated columns, measures, time intelligence, row-level security\nLookML - Experience building models, explores, and views in Looker\nShell scripting / Bash for pipeline automation and environment management\nBI & Visualization Platforms\nPower BI - Advanced: Desktop, Service, Dataflows, Composite Models, Deployment Pipelines\nTableau - Proficient: calculated fields, LOD expressions, Tableau Prep, Tableau Server\nLooker / LookML\nSigma Computing or ThoughtSpot (preferred)\nData Platforms & Cloud\nSnowflake - Warehouses, clustering, materialized views, Snowpipe, dynamic data masking\nAzure: Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL\nAWS: Redshift, Glue, S3, Athena (preferred)\nGCP: BigQuery, Dataflow, Looker (preferred)\nDatabricks - Delta Lake, Unity Catalog, MLflow (preferred)\nData Engineering & Integration Tools\ndbt (Core / Cloud) - models, tests, macros, seeds, snapshots, semantic layer\nApache Airflow - DAG development, scheduling, operators\nFivetran / Matillion / Azure Data Factory for data ingestion\nApache Kafka or Azure Event Hubs for streaming data (preferred)\nAI & LLM Technologies (Exposure Required)\nLLM APIs: OpenAI GPT-4 / GPT-4o, Azure OpenAI Service, Anthropic Claude\nLangChain or LlamaIndex for RAG pipeline development\nVector databases: FAISS, Pinecone, Weaviate, or Azure AI Search\nPython AI libraries: openai, transformers, sentence-transformers, tiktoken\nPrompt engineering, context management, and chain-of-thought techniques\nFamiliarity with AI-native BI tools: Power BI Copilot, Tableau Pulse, Looker Explore AI\nMicrosoft Fabric or Azure AI Foundry exposure (preferred)\nSemantic Layer Technologies\ndbt Semantic Layer / MetricFlow\nPower BI Semantic Models (Tabular / XMLA endpoint)\nCube.dev or AtScale\nSnowflake Semantic Model (preferred)\nDevOps & Delivery\nGit / GitHub / Azure DevOps - branching, pull requests, CI/CD pipelines\nDocker basics for containerized analytics environments\nAgile / Scrum delivery methodology\nJIRA / Azure Boards for sprint and backlog management\nPreferred Qualifications\nBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.\nMicrosoft Certified: Power BI Data Analyst Associate (PL-300).\nSnowflake SnowPro Core or Advanced: Data Engineer Certification.\nDatabricks Certified Associate Developer for Apache Spark.\ndbt Certified Developer (preferred).\nExperience in a consulting, professional services, or client-facing delivery environment.\nHands-on experience building end-to-end AI/LLM-powered analytics applications.\nNice to Have\nExperience with Microsoft Fabric (OneLake, Fabric Notebooks, Real-Time Analytics).\nExposure to MLOps practices: model versioning, monitoring, and deployment pipelines using MLflow or Azure ML.\nKnowledge of Data Vault 2.0 modeling methodology.\nExperience with real-time streaming analytics using Kafka, Spark Streaming, or Azure Stream Analytics.\nFamiliarity with graph databases or knowledge graphs for AI-enhanced search.\nExposure to data observability tools such as Monte Carlo, Anomalo, or dbt Artifacts.\nKey Competencies\nTechnical depth with the ability to move fluidly between SQL, Python, PySpark, and BI tooling.\nStrong analytical thinking and data-driven problem solving.\nExcellent communication skills - ability to present complex technical findings to non-technical stakeholders.\nBusiness acumen and senior stakeholder management in consulting environments.\nCuriosity and adaptability toward AI/LLM technologies and emerging analytics platforms.\nCollaborative mindset across data engineering, data science, and business teams.\nAttention to detail in data quality, governance, and documentation.\nLeadership and mentoring of junior analysts and BI developers.\nSuccess Criteria\nThe successful candidate will:\nDeliver scalable, high-performance data pipelines and BI solutions using SQL, Python, PySpark, and cloud-native tools.\nBuild governed semantic models and KPI frameworks that serve as a single source of truth across the organization.\nPrototype and deliver AI/LLM-powered analytics features that enhance insight discovery and decision-making.\nEnable self-service analytics capabilities for business users through well-governed BI platforms.\nDrive data quality, lineage, and governance standards across analytics assets.\nMentor junior team members and establish BI and analytics best practices across the delivery team.\nJob Description\nBI Analyst / Senior Consultant - Business Intelligence & AI\n\nJob Title\nBI Analyst / Senior Consultant - BI & AI\n\nExperience\n6-9 Years\n\nLocation\nHybrid / Remote\n\nJob Summary\nWe are seeking an experienced BI Analyst / Senior Consultant with 6-9 years of hands-on expertise in business intelligence, advanced analytics, and data engineering - combined with growing exposure to AI/LLM application development. The ideal candidate brings strong proficiency in SQL, Python, and PySpark for data processing, alongside deep BI platform expertise in Power BI or Tableau. They will have experience building governed semantic layers, developing scalable data pipelines, and integrating Large Language Model (LLM) capabilities into analytics workflows. This role sits at the intersection of traditional BI and next-generation AI-augmented analytics, making it ideal for a technically strong consultant ready to lead complex data initiatives.\nKey Responsibilities\nData Engineering & Pipeline Development\nWrite complex SQL queries, stored procedures, and optimized transformations across platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift.\nDevelop and maintain scalable data pipelines using Python and PySpark for large-scale batch and near-real-time data processing.\nBuild and manage ELT/ETL workflows using dbt, ADF, Airflow, or Fivetran to ingest structured and semi-structured data.\nImplement Spark-based data processing on Databricks or Azure HDInsight for high-volume analytics workloads.\nOptimize query performance through partitioning, clustering, caching strategies, and execution plan analysis.\nBI Development & Reporting\nDesign, develop, and deploy enterprise-grade dashboards and reports using Power BI (DAX, Power Query, Composite Models) and Tableau.\nBuild semantic models, calculated measures, KPI frameworks, and row-level security (RLS) configurations in Power BI or Looker.\nDevelop LookML models, explores, and views in Looker to expose governed data layers for self-service analytics....","description_format":"text","description_chars":29939,"description_truncated":true,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-03T20:39:28Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.621,"p_room":1,"age_days":1,"expected_fill_days":9,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/exl-associate-business-analyst","json_url":"https://alion.io/job/exl-associate-business-analyst.json","meta":{"generated_at":"2026-10-06T00:51:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1186,"day_limit":5000,"remaining_today":3814,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-associate-business-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexl-associate-business-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexl-associate-business-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/exl-associate-business-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-associate-business-analyst"}]}