Data Analytics Specialist

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Job description (heading) / Description du poste (titre)

• Collaborating with business leads and value stream owners from Marketing, CX, Sales and Distribution, Operations, Products and Actuarial Teams to identify Data and Analytics (D&A) opportunities, whether descriptive, exploratory, explanatory, or advanced
• Harnessing data to answer business questions. This includes data cleaning, transformation, visualization, and application of appropriate statistical and/or AI techniques.
• Providing D&A requirements essential to the delivery of D&A initiatives:

  -Providing Data requirements to the IT and Data Platform Teams, so that data needed for analytics is captured and stored correctly in the right granularity and frequency

  -Providing Analytics requirements to the Business Intelligence and Reporting Teams (or the Data Acceleration Program), especially on how analytics performance and success measures are defined, computed, and monitored

  -Providing Analytics requirements to the Advanced Analytics and Gen AI Teams, so that model results align to the planned business action and experience designs

• Implementing the end-to-end process of model development (from requirements gathering to deployment and documentation)
• Collaborating with business leads in submitting requirements for enterprise and information security risk compliance.
• Translating the results of D&A solutions into actionable recommendations and business processes
• Proposing how to embed D&A recommendations into business processes and campaign designs
• Quantifying the potential impact and realized benefits of analytics solutions within the value stream
• Conducting peer reviews (QA, UAT, etc.) and participating in best practice sharing
• The role reports to Data Analytics Manager.

Preferred skills (heading) / Compétences particulières (titre)

• Strong knowledge and understanding of statistical and advanced analytics concepts and methodologies
• Familiar with the phases of model development lifecycle including model design, feature engineering and transformation, model selection, and performance monitoring
• Experienced with data and analytics tools, such as Python and AWS Sage Maker
• Strong knowledge on the governance of models and advanced analytics processes
• Good understanding of the ethical principles in analytics and model development
• Familiar with model validation processes and documentation, which may include bias and privacy impact assessments
• Strong domain knowledge in providing actionable recommendations and insights to different business units, such as Marketing, Customer Experience, Sales, Products, and Operations
• Good understanding of marketing attribution, topic modelling, and propensity models

Qualifications (heading) / Compétences (titre)

• Candidate must possess at least a Bachelor's/College Degree in Computer Science, Statistics, Industrial Engineering or any STEM field.
• Minimum 2 years experience in the field of Data and Analytics
• Experience in delivering analytical solutions and performing model maintenance
• Experience in querying and pulling data from SQL, SAS, and/or AWS Data Stores
• Experience working with projects involving large amount of data to conduct exploratory, descriptive, and predictive analytics
• Experience in documenting business metrics and requirements, data lineages and flows, user guides
• Ability to communicate effectively and work with stakeholders and end-users at all levels.
• Can work independently or as part of team
• Must be willing to work with and learn new technologies
• Must be action- oriented with excellent follow through

Responsibilities (heading) / Responsabilités (titre)

• Acting as the D&A Product Owner in a Value Stream

• Collaborating with business leads and value stream owners from Marketing, CX, Sales and Distribution, Operations, Products and Actuarial Teams to identify Data and Analytics (D&A) opportunities, whether descriptive, exploratory, explanatory, or advanced
• Providing D&A requirements essential to the delivery of D&A initiatives
• Translating the results of D&A solutions into actionable recommendations and business processes
• Proposing how to embed D&A recommendations into business processes and campaign designs
• Quantifying the potential impact and realized benefits of analytics solutions within the value stream
• Harnessing data to answer business questions. This includes data cleaning, transformation, visualization, and application of appropriate statistical and/or AI techniques.
• Implementing the end-to-end process of model development (from requirements gathering to deployment and documentation)
• Translating the results of D&A solutions into actionable recommendations and business processes
• Proposing how to embed D&A recommendations into business processes and campaign designs
• Governance of analytical models and solutions, which involves the timely testing, validation, and assessment of deployed models.
• Conducting peer reviews (QA, UAT, etc.) and participating in best practice sharing
• Collaborating with business leads in submitting requirements for enterprise and information security risk compliance.

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