Senior Data Analyst

Reposted 23 Hours Ago
Be an Early Applicant
Chengdu, Four Rivers Province, CHN
In-Office
Senior level
Fintech • Insurance • Financial Services
The Role
Lead delivery of data projects and teams to build scalable, trusted datasets and analytics on a cloud Enterprise Data Lake. Perform data modeling, ETL delivery, cleansing, transformation, visualization and stakeholder engagement. Manage project planning, risks, automation, testing, and establish delivery standards and best practices.
Summary Generated by Built In

The Asia Data Office is looking for an experienced Senior Data Analyst to join our team to support our regional partners. If you have passion for data and a desire to drive quality data solutions within a data driven culture, then read on to learn more about this opportunity!

This role is critical to executing our data strategy by strengthening our Enterprise Data Lake (EDL) capabilities and enabling trusted, scalable data products and analytics for regional stakeholders.

We are looking for the right individual who would be interested in the opportunity to support and enhance our data capabilities, has strong willingness to learn and build delivery skills through team collaboration, desire to drive and execute on our data strategy, willing to help mature our delivery practices, and is looking for an opportunity to embrace technical, operational, and team lead responsibilities.

Position Responsibilities:

  • Play team lead role for the delivery of data projects for various businesses and functions.

  • Lead data modeling activities (conceptual, logical, and physical) to deliver trusted, reusable datasets and semantic models that support reporting and analytics.

  • Engage senior stakeholders and ensure alignment on priorities and roadmap.

  • Collect business requirements from stakeholders including business owner, business user, product owner, etc.

  • Prepare project plan and subsidiary plan (communication, training plan etc) and project registers (risk, issues, actions, decisions)

  • Direct the day-to-day project activities and manage the team towards project objectives.

  • Lead the team to deliver required ETL and other data applications via Cloud-based Enterprise Data Lake (EDL) platform.

  • Lead the team to execute data gathering and cleansing to ensure data accuracy and reliability, data transformation and integration into suitable format for analysis, developing charts/graphs and dashboards to present data insights to stakeholders through compelling narratives supported by visualizations.

  • Provide regular updates to senior stakeholders and seek guidance.

  • Handle problem resolution and escalate issues/risks to sponsors / steering committee as required.

  • Contribute to automation processes for faster deployment.

  • Contribute to standardization of testing, validation, acceptance, and monitoring processes for greater user confidence.

  • Contribute to establishment of project delivery standards that ensure reusability and scalability.

  • Contribute to centralized library of best practices that balances oversight with protection of our data.

Skills and Qualifications

  • Proficient written and oral communication skills in the English language, including the ability to communicate effectively with senior stakeholders and translate between business and technical users.

  • Proficiency in tools such as SQL, Power BI, Python, Spark, and Excel for data querying, manipulation, analysis, and visualization.

  • Experience with cloud and big data tools such as ADLS, Data Factory, DataBricks and delivering ETL and data applications on an Enterprise Data Lake (EDL) platform

  • Strong expertise in data modeling and schema design for analytics, including designing reusable and scalable datasets and semantic models.

  • Team lead and delivery leadership experience, including stakeholder alignment, requirements gathering, planning, risk/issue management, and driving teams toward outcomes.

  • Self-sufficient and self-motivated

  • Strong analytical and problem solving skills

Education and experience

  • Bachelor's degree preferably in Statistics, Mathematics, Computer Science,  or Data Analytics related courses

  • 10+ years in one or more of the following

  • Data Analyst

  • BI Analyst

  • Team lead or project management experience

  • Experience in insurance and/or financial industry, knowledge in health data is a plus

When you join our team:

  • We’ll empower you to learn and grow the career you want.

  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Working Arrangement

Hybrid

Skills Required

  • 10+ years experience as Data Analyst, BI Analyst, Team Lead, or Project Manager
  • Proficiency in SQL
  • Proficiency in Power BI
  • Proficiency in Python
  • Experience with Spark
  • Proficiency in Excel
  • Experience with ADLS (Azure Data Lake Storage)
  • Experience with Data Factory (Azure Data Factory)
  • Experience with DataBricks
  • Experience delivering ETL and data applications on an Enterprise Data Lake (EDL) platform
  • Strong expertise in data modeling and schema design for analytics
  • Team lead and delivery leadership experience including stakeholder alignment, requirements gathering, planning, and risk/issue management
  • Proficient written and oral English communication skills
  • Self-sufficient and self-motivated
  • Strong analytical and problem solving skills
  • Ability to prepare project plans, communication and training plans, and manage risk/issue/action/decision registers
  • Experience with automation, testing, validation, acceptance and monitoring processes
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or Data Analytics (preferably)
  • Experience in insurance and/or financial industry; knowledge in health data

Manulife Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.

  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
  • Retirement Support Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
  • Flexible Benefits Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.

Manulife Insights

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The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

What We Do

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms

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