Job Summary
This role focuses on designing developing and optimizing advanced business intelligence solutions using MS Power BI tools for an MNC insurance environment. The AI Data Specialist will transform complex datasets into impactful dashboards and paginated reports that support strategic and operational decisions. The role involves close collaboration with business stakeholders in life and annuities insurance ensuring high quality reporting strong data governance and reliable insights for day to da
Responsibilities
Design and develop advanced interactive dashboards using MS Power BI to deliver clear and actionable insights for business stakeholders in life and annuities insurance ensuring that complex data is presented in a way that supports informed decisions and improves operational performance in a work from office environment.Create and maintain high quality paginated reports using Power BI Report Builder that meet detailed regulatory and management reporting needs ensuring that all metrics related to life and annuities insurance products are accurately calculated clearly documented and consistently delivered within agreed timelines.Configure and manage Power BI Report Server environments to support secure on premise report hosting ensuring appropriate access control performance optimization and reliable scheduling that aligns with the company reporting calendar and day shift operations.Perform advanced data modeling within MS Power BI by designing robust data sets relationships and measures that support analytical scenarios ensuring that calculations and aggregations for insurance policies claims and annuities are consistent transparent and aligned with business rules.Collaborate with underwriting actuarial operations and finance teams to gather detailed reporting requirements translating functional needs from life and annuities insurance stakeholders into efficient Power BI solutions that improve visibility into portfolio performance and risk indicators.Optimize Power BI reports and dashboards for performance and usability by refining query logic minimizing refresh times and enhancing visual design ensuring that users can quickly interpret results and make data driven decisions during standard office hours without technical barriers.Implement robust data quality checks and validation procedures across Power BI data pipelines ensuring that input data from core insurance systems is accurate complete and consistent and that any anomalies are identified documented and resolved to maintain trust in reporting outputs.Support deployment version control and change management for Power BI artifacts across development test and production environments ensuring that enhancements to reports and dashboards are thoroughly reviewed regression tested and communicated to relevant stakeholders with minimal disruption.Provide expert guidance to business users on how to interpret Power BI content and leverage self service analytics capabilities conducting focused training sessions and documentation updates that empower teams to explore trends segment customer data and evaluate product performance independently.Work closely with data engineering teams to define and refine data extraction transformation and loading processes feeding Power BI models ensuring that data structures from policy administration and claims systems are optimized for analytics usage and long term maintainability.Monitor usage patterns and feedback for Power BI solutions analyzing user adoption metrics and stakeholder input to prioritize enhancements that improve accessibility reduce manual reporting effort and align with strategic objectives of the insurance portfolio.Ensure compliance with company policies audit requirements and industry regulations by embedding appropriate data security practices access controls and documentation standards into Power BI report and dashboard development activities.Contribute to the continuous improvement of business intelligence standards and practices by proposing new visualization techniques reusable templates and data modeling patterns that help the organization scale its analytics capabilities and deliver greater value to customers and society through better insurance services.
Qualifications
Demonstrate strong hands on experience in MS Power BI including data modeling DAX calculations report design and deployment gained over seven to ten years of professional work in business intelligence or analytics roles.Show advanced proficiency in Power BI Report Builder with a consistent track record of delivering complex paginated reports that handle large datasets and detailed layouts suitable for regulatory and management reporting in insurance or similar domains.Exhibit solid experience in configuring and managing Power BI Report Server environments including setup permissions scheduling and performance tuning for secure on premise reporting solutions in an enterprise setting.Apply deep understanding of relational databases SQL querying and data warehousing concepts to design efficient data sources for Power BI solutions that support robust analysis and reliable refresh mechanisms.Display familiarity with life and annuities insurance concepts such as policy lifecycle premium calculations claims processes and reserve monitoring using this domain knowledge to design business relevant measures and dimensions in reports and dashboards.Leverage strong analytical and problem solving skills to investigate data issues reconcile discrepancies between source systems and reports and propose sustainable improvements that enhance data accuracy and clarity for stakeholders.Utilize effective communication and collaboration abilities to work closely with cross functional teams gather detailed reporting requirements explain technical constraints in simple terms and align solutions with business priorities while operating primarily in a work from office day shift model.
Certifications Required
Preferred certifications include Microsoft Certified Power BI Data Analyst Associate or equivalent industry recognized credentials in business intelligence and analytics.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
