EXL
EXL
EXL — ұйымдарға операцияларын жетілдіруге және тиімдірек шешімдер қабылдауға көмектесу үшін деректерді, талдауды және технологияларды пайдаланатын бизнес-консалтинг және қызмет көрсету компаниясы. Оның жұмысы операцияларды басқаруды, шешімдер аналитикасын және цифрлық трансформацияны қамтиды. Компания денсаулық сақтау, сақтандыру, қаржы және логистика салаларындағы клиенттерге қолдау көрсету тәжірибесіне ие. EXL деректер ғылымын практикалық бизнес сараптамасымен ұштастырып, әр ұйымның мақсаттарына, операциялық моделіне және салалық ерекшеліктеріне бейімделген шешімдер әзірлейді.

Business Analyst - Business Intelligence and AI Analytics

Business intelligence and AI consultant developing scalable data pipelines, governed semantic models, and Power BI/Tableau reporting. Creates LLM-powered analytics to support enterprise decision-making.

Сипаттама

  • Create advanced SQL queries, stored procedures, and optimized transformations across Snowflake, Azure Synapse, BigQuery, and Redshift
  • Build and maintain scalable Python and PySpark pipelines for batch and near-real-time data processing
  • Develop and administer ELT and ETL workflows with dbt, Azure Data Factory, Airflow, and Fivetran
  • Implement Spark processing on Databricks or Azure HDInsight while improving query performance
  • Design, build, and deploy enterprise dashboards and reports in Power BI and Tableau
  • Develop semantic models, calculated measures, KPI structures, and row-level security settings
  • Create LookML models, explores, and views that support governed self-service analytics
  • Design dimensional models and establish reusable metrics, KPIs, hierarchies, and dimensions
  • Contribute to AI analytics solutions, including RAG pipelines, conversational BI, vector search, and LLM-generated insights
  • Conduct exploratory, statistical, cohort, A/B testing, time-series, and forecasting analyses
  • Partner with data science teams to incorporate machine learning outputs into BI reporting layers
  • Advise stakeholders, facilitate requirements and solution-design workshops, and present analytics solutions
  • Prepare technical and functional documentation and contribute to Agile delivery
  • Apply data quality, lineage, metadata, governance, access-control, and compliance practices
  • Coach junior analysts and promote BI and analytics best practices

Талаптар

  • Six to nine years of practical experience spanning business intelligence, advanced analytics, and data engineering
  • Advanced SQL skills, including CTEs, window functions, query tuning, stored procedures, and dynamic SQL
  • Strong Python capability with pandas, NumPy, Matplotlib, Seaborn, SQLAlchemy, requests, and PySpark
  • Experience with distributed processing, DataFrame APIs, Spark SQL, and PySpark UDFs
  • Advanced DAX experience covering calculated columns, measures, time intelligence, and row-level security
  • Experience creating LookML models, explores, and views in Looker
  • Shell scripting or Bash experience for pipeline automation and environment administration
  • Advanced Power BI skills and working proficiency with Tableau
  • Experience using Snowflake and Azure data platforms
  • Experience with dbt, Apache Airflow, and ingestion platforms such as Fivetran, Matillion, or Azure Data Factory
  • Familiarity with LLM APIs, RAG workflows, vector databases, prompt engineering, and AI-native BI tools
  • Experience with semantic-layer technologies and dimensional data modeling
  • Working knowledge of Git, GitHub or Azure DevOps, Docker fundamentals, Agile/Scrum, and JIRA or Azure Boards
  • Bachelor’s or master’s degree in data science, computer science, statistics, mathematics, or a related discipline is preferred
  • Background in consulting, professional services, or client-facing delivery is preferred
  • Preferred experience developing complete AI- or LLM-powered analytics applications

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