Publié il y a 18 jours
Power BI / Insurance Analytics Developer
@ EXL Talent Acquisition Team
Canada
En bref
EXL Talent Acquisition Team is hiring a Power BI and Insurance Analytics Developer to design and maintain interactive dashboards and reports for insurance business users. The role involves writing complex SQL, building DAX measures and dimensional data models, and reconciling data across source systems. Experience with Property & Casualty insurance data is preferred, and 4-6 years of BI or analytics experience is required.
Responsabilités :
- Design and maintain Power BI dashboards and reports for insurance users
- Write and optimize complex SQL queries
- Develop DAX measures and dimensional data models
- Perform data validation and root-cause analysis
- Collaborate with data engineering and business teams
Résumé des exigences :
- 4-6 years of BI, reporting, or data analytics experience
- Hands-on Power BI and SQL in enterprise reporting
- Insurance domain knowledge, preferably Property & Casualty
- Exposure to Azure, Snowflake, Databricks, or SQL Server is an advantage
- Strong analytical, problem-solving, and communication skills
Outils et compétences
Source et dates
Site carrière / système de candidatures · oraclecloud
- Date publiée par l’employeur
- 2026-10-23
- Première détection par notre source
- 2026-10-23
- Mise à jour du dossier source
- 2026-10-23
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Données et analytique |
| Expérience | 4 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
EXL Talent Acquisition Team
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
- Abonnés LinkedIn
- 2 037 193
- Personnes associées sur LinkedIn
- 51 202
- Bureaux déclarés
- 320 Park Avenue, 29th Floor, New York, NY 10022, US
- 10 Exchange Pl, Jersey City, NJ 07302, US
- Catégories d’activité
- Information Technology
- Health Care
- Banking
- Consulting
- Management Consulting
- Analytics
- Outsourcing
- Autres noms enregistrés
- EXL Service
- EXL
- EXL Talent Acquisition Team
- Spécialités
- Operations Management
- Decision Analytics
- Technology Platforms
- Healthcare
- Finance & Accounting
- Insurance
- Risk & Financial Management
- Travel
- Transportation and logistics
- Banking and Financial Services
- Operations & Process Excellence
- Utilities
- Analytics
- Digital Transformation
- Management Consulting
- Finance Transformation
- IT Audit
- Artificial Intelligence
- Automation
- Robotics
- Machine Learning
- and NLP
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 150 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 10,001+ employees |
| Siège social | New York, NY |
| Type d’organisation | Public Company |
| Spécialités | Operations ManagementDecision AnalyticsTechnology PlatformsHealthcareFinance & AccountingInsuranceRisk & Financial ManagementTravelTransportation and logisticsBanking and Financial Services |
| Offres sur Jobsy | 14 |
| Voir la page |
- Strong hands-on experience with Power BI Desktop and Power BI Service.
- Strong knowledge of DAX, Power Query, data modeling, relationships, drill-through, bookmarks, filters, and visualization best practices.
- Experience building complex dashboards and executive or business reporting solutions.
- Understanding of Power BI performance optimization and data model design.
- Strong SQL skills, including joins, CTEs, subqueries, window functions, aggregations, and complex transformations.
- Experience analyzing and reconciling data across multiple tables and data sources.
- Good understanding of relational databases, dimensional modeling, and data warehousing concepts.
- Ability to investigate data-quality issues and independently perform root-cause analysis.
- Good understanding of insurance data and business processes, preferably within Property & Casualty insurance.
- Familiarity with policy, coverage, exposure, premium, claims, losses, reserves, limits, deductibles, brokers or agents, and underwriting.
- Ability to understand insurance KPIs and translate business questions into analytical reports and dashboards.
- Experience working with policy, claims, underwriting, or premium-related datasets is preferred.
- Design, develop, and maintain interactive Power BI dashboards and reports for insurance business users.
- Develop efficient DAX measures, calculated columns, KPIs, and data models to support analytical and reporting requirements.
- Write and optimize complex SQL queries for data extraction, transformation, reconciliation, and analysis.
- Analyze large datasets to identify business trends, data issues, and actionable insights.
- Work with business stakeholders to understand requirements and translate them into reporting and analytical solutions.
- Perform data validation, reconciliation, and root-cause analysis to ensure reporting accuracy and consistency.
- Develop and maintain dimensional data models supporting reporting and analytics use cases.
- Collaborate with data engineering, business, and analytics teams to integrate data from multiple source systems.
- Apply insurance domain knowledge to interpret business data and develop meaningful KPIs and reporting solutions.
- Support report performance optimization, production issues, enhancements, and ongoing reporting needs.
- 4-6 years of overall experience in business intelligence, reporting, or data analytics.
- Hands-on experience with Power BI and SQL in enterprise reporting environments.
- Prior experience with an insurance carrier, broker, MGA, or insurance analytics organization is highly desirable.
- Exposure to Azure, Snowflake, Databricks, or SQL Server would be an advantage.
- Strong analytical thinking, problem-solving, and communication skills.
- Ability to interact with business stakeholders and independently convert requirements into technical solutions.
Journal
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