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EXL
EXL
Kvalificēta darbinieka vīzas sponsorsApdrošināšanaLoģistikaVeselības aprūpe
EXL ir biznesa konsultāciju un pakalpojumu uzņēmums, kas palīdz organizācijām izmantot datus, analītiku un tehnoloģijas, lai uzlabotu darbību un pieņemtu labākus lēmumus. Uzņēmuma darbība ietver operāciju pārvaldību, lēmumu analītiku un digitālo transformāciju, kā arī pieredzi darbā ar klientiem veselības aprūpes, apdrošināšanas, finanšu un loģistikas nozarēs. EXL apvieno datu zinātni ar praktisku uzņēmējdarbības kompetenci, lai izstrādātu risinājumus, kas pielāgoti katras organizācijas mērķiem, darbības modelim un nozares kontekstam.
LinkedIn
Vakances uzņēmumā

BI Developer - Bengaluru (Hybrid)

Build Power BI and Tableau dashboards, semantic models, and KPI reporting at EXL. Turn complex business data into clear insights for data-driven decision-making.

INIndijaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuBiznesa analītikas izstrādātājs
ETLMākonisTableau

Apraksts

  • Create and maintain interactive Power BI and Tableau dashboards, scorecards, and reports
  • Develop and optimize Power BI semantic models and Tableau data sources for analytics and reporting
  • Create advanced DAX measures and Power Query transformations
  • Resolve data model, report performance, and data quality issues
  • Design and maintain dimensional models built from fact and dimension tables
  • Examine business data for trends, anomalies, patterns, and opportunities to improve performance
  • Establish KPI frameworks, metric definitions, and executive reporting dashboards
  • Develop visualizations and data narratives that inform business decisions
  • Enable self-service analytics with reusable datasets and governed reporting assets
  • Work with data engineering teams to deliver complete, accurate, analytics-ready data
  • Contribute to BI deployments, report migrations, and environment administration
  • Record BI solutions, data models, reporting workflows, and business definitions

Prasības

  • At least 5 years of experience in business intelligence, reporting, data analytics, or a related field
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Business Analytics, or a related discipline, listed under Preferred Qualifications
  • Demonstrated experience creating Power BI reports, dashboards, and scorecards
  • Practical knowledge of data modeling, relationships, star schemas, and semantic models
  • Proficiency in DAX, including calculated measures, time intelligence, and performance tuning
  • Experience using Power Query (M) for data preparation and transformation
  • Familiarity with Power BI Service capabilities such as workspaces, deployment pipelines, Row-Level Security, and scheduled refreshes
  • Experience delivering self-service reporting solutions and reusable datasets
  • Experience creating interactive Tableau dashboards and visualizations
  • Understanding of Tableau Server or Tableau Cloud and published data sources
  • Advanced Microsoft Excel skills, including PivotTables, PivotCharts, Power Pivot, Power Query, advanced formulas, and functions
  • Strong analytical and problem-solving ability
  • Experience with KPI frameworks, business metrics, performance dashboards, trend and variance analysis, root-cause analysis, and business performance monitoring
  • Expertise in data visualization standards and dashboard design principles
  • Knowledge of data profiling, data quality evaluation, and data validation methods
  • Strong ability to communicate insights through data and produce executive-level reporting
  • Understanding of dimensional modeling, enterprise data warehouses, analytics marts, star schemas, ETL/ELT, and data integration
  • Experience with Snowflake and cloud analytics platforms is advantageous
  • Exposure to Sigma Computing or other self-service analytics platforms is advantageous
  • Knowledge of insurance industry concepts is advantageous
  • Familiarity with Agile practices and Jira is advantageous
  • Experience working in large-scale enterprise reporting and analytics environments is advantageous

Priekšrocības

  • No benefits or additional compensation details were specified

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