Senior Data Analyst

Manulife IT Delivery Center Asia Inc.; Philippines; On-site; PHP 900,000 - 1,600,000; Full time

Job summary

Manulife IT Delivery Center Asia Inc. is seeking an experienced Senior Data Analyst to join our BI-focused team and support regional partners.

This role drives data quality, builds scalable BI solutions, and collaborates with stakeholders to translate business needs into analytical deliverables. You will lead BI programs, mentor teammates, develop ETL pipelines in cloud environments, and deliver dashboards using Power BI, SQL, Python, and Spark.

Qualifications

• 8 years of experience in BI Analyst, Data Analyst, BI Engneer, Data Engineer
• Proficiency in Data Manipulation, Data Analysis, Data Warehousing, Data Mining & Extraction, Data Visualization, and ETL processes
• Proficiency in tools such as Power BI, SQL, Python, R, Spark, and Excel for data querying, manipulation and analysis
• Experience with big data tools such as ADLS, Data Factory, DataBricks, etc
• Ability to interpret and translate terminology between technical and business users
• Collaborate with geographically and culturally diverse teams across various regions.
• Ability to translate complex business problems into actionable analytical and technical solutions.
• Strong analytical and problem-solving skills
• Experience creating user stories, BRDs, functional specs, use cases, workflow diagrams, and acceptance criteria.
• Strong understanding of Agile, Scrum, Kanban, and iterative delivery methodologies.
• Proficient written and oral communication skills in English

Responsibilities

• Lead team to deliver priority global, regional, and local BI programs for various businesses and functions.
• Partner with stakeholders to gather, analyze, validate, and document business requirements.
• Prepare project plans and registers (risk, issues, actions, decisions).
• Direct day-to-day project activities and manage the team toward objectives.
• Lead the team to deliver ETL and data applications via Cloud-based ED L platform.
• Lead data gathering and cleansing to ensure data accuracy and reliability, develop charts/graphs and dashboards for stakeholder insights.
• Facilitate workshops, discovery sessions, process mapping, and solution design discussions.
• Handle problem resolution and escalate issues/risks to sponsors/steering committee as required.
• Contribute to standards and best practices across Asia Data Office functions.
• Support System Integration Testing, UAT, business validation, and production readiness activities.

Skills

Data Manipulation

Data Analysis

Data Warehousing

Data Mining & Extraction

Data Visualization

ETL processes

Power BI

SQL

Python

R

Spark

Excel

Tools

ADLS

Data Factory

DataBricks

Job description

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!

Business Intelligence (BI) is a foundational component of delivering the insights to our organization to meet this strategic pillar. This role will be critical towards execution of the priority to position Manulife as a digital customer leader by supporting a robust BI platform and delivery framework for various business reporting initiatives.

We are looking for the right individual who would be interested in the opportunity to support and enhance our BI capabilities, strong willingness to learn and build BI delivery skills through team collaboration, desire to drive and execute on our data strategy, willing to help mature our BI 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 priority global, regional, and local BI programs for various businesses and functions.
• Partner with business stakeholders, Product Owners, and subject matter experts to gather, analyze, validate, and document business requirements.
• 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.
• Facilitate workshops, requirement discovery sessions, process mapping exercises, and solution design discussions.
• Handle problem resolution and escalates issues/risks to sponsors / steering committee as required.
• Contribute to standards and best practices across different functions within Asia Data Office Team.
• Support System Integrated Testing, User Acceptance Testing (UAT), business validation, and production readiness activities.

Required Qualifications:

• 8 years of experience in BI Analyst, Data Analyst, BI Engneer, Data Engineer
• Proficient in Data Manipulation, Data Analysis, Data Warehousing, Data Mining & Extraction, Data Visualization, and ETL processes
• Proficiency in tools such as Power BI, SQL, Python, R, Spark, and Excel for data querying, manipulation and analysis
• Experience with big data tools such as ADLS, Data Factory, DataBricks, etc
• Ability to interpret and translate terminology between technical and business users
• Collaborate with geographically and culturally diverse teams across various regions.
• Ability to translate complex business problems into actionable analytical and technical solutions.
• Strong analytical and problem-solving skills
• Experience creating user stories, business requirements documents (BRDs), functional specifications, use cases, workflow diagrams, and acceptance criteria.
• Strong understanding of Agile, Scrum, Kanban, and iterative delivery methodologies.
• Proficient written and oral communication skills in the English language

Preferred Qualifications:

• Team lead or project management experience
• Experience in insurance and/or financial industry

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 [e-mail].