Senior Analytics Consultant

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City : Toronto

Category : Full-time

Industry : Finance

Employer : Sun Life Financial

Vous êtes unique, comme le sont votre parcours, votre expérience et votre façon de voir les choses. Ici, on vous encourage et on vous motive à donner le meilleur de vous-même, et on vous donne les moyens de le faire. Vous travaillerez avec des collègues dynamiques – experts dans leur domaine – qui sont impatients de partager leurs connaissances avec vous. Vous aurez des gestionnaires inspirants qui vous aideront à développer votre potentiel et à atteindre de nouveaux sommets. Chaque jour, vous aurez de nouvelles occasions de rendre la vie de nos Clients plus radieuse – ils sont au cœur de tout ce que nous faisons. Découvrez comment vous pouvez faire une différence dans la vie des gens, des familles, des collectivités – ici et partout dans le monde.

Description de poste:

Role Summary:

Reporting to the Director, Data and Analytics Services, the Senior Analytics Consultant will lead the development of innovative analytics solutions including transformation processes and complex data models that form the core of a new generation of analytics services and self-serve solutions for our customers in Canadian Operations.

In our fast growing Business Analytics team, there is a need for talented and passionate individuals to design, create, deploy, and evolve our data analytics platforms. Our growing mandate to deliver Data Analytics, Artificial Intelligence and Data Solutions requires an experienced data consultant to accelerate the development of our strategic analytics projects in support of our business stakeholders.

What will you do?

  • Work directly with data engineers, business data analysts, data scientists and clients in Canadian Operations throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts
  • Maintain best practice standards for analysis and reporting at all levels including data governance, documentation, testing and visualization techniques
  • Lead and drive projects and assignments to completion, including project planning and estimates
  • Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation.
  • Turn complex data into easy to understand visual insights that are aligned to business objectives
  • Enable visual storytelling through Tableau and visual analytics tools

What will you need to succeed?

  • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
  • Expertise in visual analytics and design principles
  • 3-5 years+ of experience in:
    • Solid skills in SQL, Python, C++, Java and other languages used in data manipulation
    • Solid understanding of data warehousing principles and experience in design and/or development using dimensional modeling principles
    • Tableau development experience and designing dashboards / decision enablement tools
    • Developing rich portfolio of design uses cases demonstrating excellent user experience
    • Working in an agile development environment including rapid prototyping
  • Solid understanding of data warehousing principles, architecture and its implementation in complex environments
  • Experience as designer of complex Dimensional data models for analytics services
  • Hands-on experience with development of ELT/ETL processes of large datasets from multiple sources
  • Experience with development for Microsoft SQL Server Analysis Services or equivalent technologies
  • Visual design expertise with a solid understand of the best practices around dashboard and visual perception.
  • End-to-End development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
  • Strong understanding of the economics of the business analytics value stream and the value proposition of analytics services
  • Ability to work independently and manage engagements directly with business partners
  • Comfortable with ambiguity and effective in delivering iterative solutions.
  • Solid understanding of how to consolidate and transform data to meaningful and actionable information
  • Ability to draw out meaningful business insights by synthesizing information from multiple sources
  • Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data
  • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership
  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
  • A willingness to listen, challenge, communicate, and respect team member's ideas and opinions openly

Unique Requirements

  • Must be able to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

What will be nice to have?

  • Experience with R, Python, Matlab
  • Experience with Agile or design-driven development of analytics applications
  • PMP and/or Scrum Master certification
  • Experience with optimization and tuning of large data extracts for Tableau
  • Tableau desktop and server certification
  • Knowledge of Insurance or Financial Services industry

What's in it for you?

  • Competitive salary and bonus structure influenced by market range data
  • 4 weeks vacation
  • A friendly, collaborative and inclusive culture
  • Being part of our Analytics community, where we share best practices and broaden skill-sets

Interested in applying? Submit a job application by clicking “Apply” and complete an online assessment within 24 hours of submitting your job application using the link https://apply.careerspark.com/j/f48rDSy1UyXa/l/JVxGM3OtFygF to complete the online assessment after you submit your application. You will need to register with our partner Career Spark, using the same e-mail address used for your job application. If you complete this assessment before submitting your job application then you must return to this job posting again to complete your online job application by clicking “Apply”.

L’échelle du salaire de base est pour l’emplacement principal du poste affiché. Elle peut varier selon l’emplacement du candidat sélectionné et d’autres facteurs. En plus du salaire de base, les employés admissibles de la Financière Sun Life participent à différents programmes de rémunération incitative, dont le montant octroyé est discrétionnaire et dépend du rendement de l’employé et de la compagnie. Certains postes de vente participent à des programmes de rémunération incitative basés sur les résultats de vente individuels ou de groupe. 

Depuis toujours, la diversité et l'intégration sont au cœur des valeurs de la Financière Sun Life. Nous croyons qu'un effectif diversifié ayant des points de vue variés et des idées créatives est avantageux pour nos clients, pour les collectivités où nous exerçons nos activités, ainsi que pour nous tous, en tant que collègues. Nous accueillons avec enthousiasme les candidatures de personnes compétentes provenant de tous les horizons.

Les personnes handicapées ayant besoin de mesures d'adaptation pour présenter leur candidature et celles qui doivent consulter les offres d'emploi sur un support de substitution peuvent envoyer leur demande par courriel à l'adresse ‘thebrightside@sunlife.com’.

À la Sun Life, nous voulons créer un environnement de travail flexible où nos employés sont outillés pour donner le meilleur d’eux-mêmes. Nous offrons plusieurs options de travail flexibles selon les exigences du poste et les besoins individuels. N’hésitez pas à en discuter pendant le processus de sélection.

Nous remercions tous les candidats de l'intérêt manifesté pour ce poste. Nous ne communiquerons qu'avec les personnes qui auront été retenues pour passer une entrevue.

Échelle salariale:

68,400/68 400 - 111,700/111 700

Catégorie d'emploi:

Advanced Analytics

Fin de l'affichage:

23/03/2022

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