Python Job: Data Analyst

Job added on

Company

Sun Life

Location

Toronto - Canada

Job type

Full-Time

Python Job Details

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:

Role Summary

Founded in Canada in 1865, Sun Life has been a trusted name for generations, serving millions of Clients in Canada, the United States, Asia, the U.K. and other parts of the world.

To support the vision of helping Canadians live healthier lives, Sun Life has launched a new business named Sun Life Health that brings together Sun Life’s Group Benefits and Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians.

Lumino Health is the foundation of that health strategy, which enables Canadians to find health-care resources and providers (dentists, physiotherapists, massage therapists, chiropractors, and more). For these providers, Lumino Health is a new way to market their practice and connect with more patients. To learn more about Lumino Health, visit https://luminohealth.ca/

The Data Science & Analytics team plays a critical role in the execution of the Sun Life Health strategy, and works very closely with the different digital portfolios part of Sun Life Health, including Lumino.

The Data Science & Analytics team is responsible for:

  • Being the analytics translators to identify high-impact data science use cases

  • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

  • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems

  • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

The Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, modeling and analysis, documentation, delivery, and implementation of various business projects.

What Will You Do?

  • Create and maintain ETL processes, dashboard and reports that can be leveraged to find insights

  • Develop analysis and reporting tools to support requests for analytical services

  • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes

  • Develop and present reporting solutions to key stakeholders and partners

  • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings

  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

  • Understand and incorporate technology best practices with a primary focus on Tableau and Python.

  • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

What Do You Need To Succeed?

  • Minimum of 2 years experience in SQL and Python

  • Experience with creating and maintaining visualizations and dashboards in Tableau, or any other visualization tool

  • Technical mindset with an undergraduate/masters degree, preferably in Computer Science, Statistics, Mathematics, Engineering, or 2-5 years of business experience in related field

  • Familiarity with machine learning applications

  • Experience working with relational databases and creating data models with efficient design

  • Strong problem solving and analytical skills

  • Demonstrated ability to produce meaningful results from data

  • Proven experience consolidating and analyzing data sources

  • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

  • Comfortable learning new applications quickly with minimal direction

  • Proven ability to work collaboratively within a cross functional team environment

  • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

  • Attention to detail and in-depth planning, organizational and time management skills

  • Experience with AWS SageMaker would be an asset

Unique Requirements

  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

What's In It For You?

  • Great Place to Work® Certified in Canada and the US - 2022

  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

  • Named “Best Places to Work” by Glassdoor - 2021

  • Canada Award for Excellence for Mental Health at Work - 2021

  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI- Remote

  • Competitive salary and bonus structure influenced by market range data

  • Pension, stock and savings programs to help build and enhance your future financial security

  • A friendly, collaborative, and inclusive culture

  • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

  • The opportunity to move along a variety of career paths with amazing networking potential

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to [email protected].

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

53,300/53 300 - 86,300/86 300

Job Category:

Advanced Analytics

Posting End Date:

25/01/2023