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Senior Insurance Data Analytics Jobs in Toronto, ON

The Manager of Marketing Analytics role will leverage data and analytics to drive the ... Insurance Plans (Medical/Dental/Vision/Life) * 401k * Competitive Bonus * Mobility Allowance

Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate ...

GFT is seeking a Senior Data Migration Strategist to support a large-scale enterprise ... Key Responsibilities Data Analysis & Mapping * Conduct data profiling to identify quality issues ...

The role leads a team of data and analytics professionals responsible for transforming complex data ... Acts as a senior analytics advisor to Procurement leadership, applying analytical expertise and ...

Senior Data Governance Analyst Who We Are Teranet is Canada's leader in the delivery and ... Working with business, technology, Information Security, Privacy, Data Analytics, Data Management ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... You will work closely with senior analysts, data scientists, engineers, product managers, designers ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data ... You will work closely with senior analysts, data scientists, engineers, product managers, designers ...

Showing results 41-60

Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are the most commonly searched types of Insurance Data Analytics jobs in Toronto, ON?

The most popular types of Insurance Data Analytics jobs in Toronto, ON are:

Manager, Data Analytics - Engineering & Platform

Walmart

Mississauga, ON • On-site

Full-time

Re-posted 8 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,498 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...The Manager, Data Analytics supports the development and implementation of data-driven strategies to optimize business performance. Responsibilities include pricing, promotional strategies, market analysis, web analytics, and reporting, fostering cross-functional collaboration to drive insights and decision-making.What you'll do...

We are seeking a Data Platform Lead to own and manage our GCP/BigQuery infrastructure, serving as the central point of accountability for all reporting and consumption datasets across the organization. This role is responsible for designing, optimizing, and governing our data platform to ensure high-quality, reliable, and performant data assets are available to stakeholders.

The ideal candidate brings strong analytical skills with meticulous attention to detail, ensuring data accuracy, consistency, and integrity across all downstream reporting. They will collaborate with cross-functional teams to define data standards, implement best practices for data modeling and pipeline development, and drive continuous improvement in how we surface insights to the business.

A deep understanding of BigQuery architecture, cost optimization, and data governance principles is essential for success in this role.

The Manager may identify gaps in reporting infrastructure, implement best practices, and introduce automation. Training and supporting other departments in self-service reporting and maintaining vendor relationships for analytics tools are also key responsibilities.
Cross-functional collaboration is essential, working with all business units to ensure alignment and integration of analytics initiatives. The Manager may present data and recommendations to senior leadership and stakeholders, ensuring data-driven decision-making across the organization.
Qualifications

  • GCP and BigQuery architecture expertise
  • Data modeling (dimensional and consumption-layer design)
  • ETL/ELT pipeline development
  • SQL and query performance optimization
  • Cost optimization and resource management in BigQuery
  • Cloud-native data engineering best practices


Leadership Expectations:
Respect the Individual:
Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and experiences where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer experience for all; identifies, attracts, and retains the best team members.
Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer and company; and regularly recognizes others' contributions and accomplishments.
Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.
Acts with Integrity:
Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture;supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving).
Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.
Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Serve our Customers:
Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.
Strive for Excellence:
Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

The pay range for this position is $91900,00 - $126390,00. Pay will be determined based on relevant experience.L'echelle salariale pour ce poste est de 91900,00 a 126390,00. La remuneration sera determinee en fonction de l'experience pertinente.Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age - 16 or olderPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location...

1940 Argentia Rd, Mississauga, ON L5N 1P9, CanadaAre you currently a Walmart associate?Please login to your Workday account and use the Find Jobs report to apply for this job.
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Important Note: To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence-powered tools, including internal or third-party developed automated decision-making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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