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Prudential do BrasilSource d’offres vérifiée

Absence Consulting Practice, Senior Data Analyst

Offre en anglais
  • Canada
  • Sur place
  • Publié 17 sept. 2026
  • 1 poste

76 000 $ US–125 400 $ US / année

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Type d’emploi
Temps plein
Niveau d’expérience
Intermédiaire · 2+ ans
Formation minimale
Baccalauréat
Langue de l’offre
anglais
Heures de travail
40 heures par semaine

Résumé du poste

The senior analyst produces standard and ad hoc reporting packages to provide insights into leave of absence, disability, and life insurance for employers. They work within a cross-functional team to develop strategic, data-informed claims reporting and maintain customer dashboards.

Détails du poste

Job Classification: Data Science & Analytics - Data Science & Analytics General Summary This position works as a member of the Absence Consulting Practice. The role is primarily responsible for producing standard and ad hoc reporting & analytical reporting packages that will help employers gain insight into their leave of absence, disability, and life insurance. The senior analyst is a member of the broader cross functional business team that provides analytics, consulting, and operational solutions to our Group Insurance customers and internal stakeholders. Principal Duties and Responsibilities Function as a member of the customer business team to provide a strategic, data-informed approach to the development of claims reporting packages for employers Works within a cross-functional team to complete analysis for annual, semi-annual and finalist meetings as well as ad-hoc reporting packages Responsible for the creation and maintenance of various customer dashboards and data pipelines Maintain and update analytic services templates, scripts, and documentation Provide a variety of reporting and analysis in addition to above including ad hoc customer reporting, industry analysis, benchmark analysis, regression analysis, etc. Participate in internal meetings to explain/review the data visualizations and concepts prior to presentation to a customer Leverage industry and analytics expertise to design innovative reporting solutions that enhance client value May perform other duties as assigned Job Specifications Minimum educational requirement of a BA or BS degree, preferably in a quantitative field Basic understanding of health, disability, and life data Possesses critical thinking skills Strong analytical and problem-solving skills Proficient in Microsoft Office suite of products Basic knowledge in programing language such as R or Python Basic knowledge with SQL/query tools and techniques Intermediate or advanced knowledge in Power BI or another data visualization platform Ability to explain complex data to a wide audience Highly attentive to detail Works well under pressure, managing multiple/changing priorities within tight deadlines Interacts and communicates effectively with internal and external partners Superior time management and organizational skills Demonstrated solid presentation/facilitation skills Demonstrated strong communication skills (written, verbal and listening) Self-starter, able to set goals that stretch abilities Basic negotiation skills Excellent team player Bonus: Experience with AWS and Redshift What we offer you: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $76,000.00 to $125,400.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period). Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com. If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.

Ce que vous ferez

The senior analyst produces standard and ad hoc reporting packages to provide insights into leave of absence, disability, and life insurance for employers. They work within a cross-functional team to develop strategic, data-informed claims reporting and maintain customer dashboards.

Exigences

Candidates must have a bachelor's degree in a quantitative field and a basic understanding of health, disability, and life data. Proficiency in Microsoft Office, SQL, data visualization tools like Power BI, and programming languages such as R or Python is required.

Avantages

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Paid time off • Parental leave • Military leave • 401(k) plan • Company-funded pension plan • Wellness programs • Work/life resources • Education benefit • Employee stock purchase plan

Compétences indiquées

  • Gestion du temps · Souhaitée
  • Visualisation de données · Souhaitée
  • Power BI · Souhaitée
  • SQL · Souhaitée
  • Résolution de problèmes · Souhaitée
  • Analyse de données · Souhaitée
  • Communication · Souhaitée
  • Reporting · Souhaitée
  • Critical Thinking · Souhaitée
  • Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Data analysis
  • Reporting
  • SQL
  • R
  • Python
  • Power BI
  • Data visualization
  • Regression analysis
  • Critical thinking
  • Problem-solving
  • Communication
  • Presentation
  • Time management
  • Consulting
  • Dashboard creation
  • Data pipelines
  • Ad Hoc Reporting
  • Reporting and Analysis
  • Industry Analysis
  • Self-Starter
  • Organizational Skills
  • Reporting Solutions
  • Time Off Management
  • Goal Setting
  • Amazon Web Services
  • Mental Health
  • Dashboard
  • Critical Thinking
  • Data Visualization
  • Finance
  • R (Programming Language)
  • Innovation
  • Problem Solving
  • Python (Programming Language)
  • Microsoft Office
  • Regression Analysis
  • Negotiation
  • Organizational Performance
  • SQL (Programming Language)
  • Time Management
  • Templates
  • Data Science
  • Data Pipelines
  • Amazon Redshift

Domaines d’emploi

  • Data & Analytics
  • Consulting
  • Finance & Accounting
  • Technology
  • Consulting Data Analyst
  • Data Analyst
  • Statistical, Mathematical and Related Associate Professionals
  • Business Intelligence Analysts
  • Data Scientists

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