Senior Data Analyst

Manulife Financial; Quezon City; Hybrid; PHP 600,000 - 1,000,000; Full time

Job summary

Manulife Financial is seeking a Senior Data Analyst to design, develop, and interpret risk metrics for business, technology, and cybersecurity. You will work within GBS COO – Business Insights & Analytics to provide actionable insights that drive strategic decisions and performance.

The role requires 5–7 years in analytics or risk, strong data storytelling, and advanced Excel and BI tool skills. Hybrid work arrangement applies, with onsite and remote flexibility.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• 5–7 years of analytics, risk, cybersecurity, or technology governance experience.
• Strong ability to interpret large data sets and identify trends and risks.
• Hybrid work readiness to work onsite and from home as needed.
• Proven ability to translate technical data into business insights.
• Advanced knowledge of Excel (Power Query & VBA) and PowerPoint; BI tools like Python, R, PowerBI, Tableau, QlikView/ Sense.
• Experience in data analysis, ETL, data storytelling, dashboards, and data governance.

Responsibilities

• Analyze trends across KRIs, KCIs, and KPIs to identify risks and weaknesses.
• Provide analytical input to improve metric design, thresholds, and signal quality.
• Develop executive insights and narratives for risk committees and leadership.
• Collaborate with Cybersecurity and Technology teams to interpret metric results.
• Support thematic reviews and challenge metrics that lack meaningful insight.
• Evolve the technology risk metrics framework and reporting approach.
• Analyze breach trends and systemic risk patterns to inform decisions.

Job description

Senior Data Analyst is responsible for designing, developing, analyzing, and interpreting business, technology, and cybersecurity risk metrics to provide actionable insights that support strategic decision-making and drive business performance. As part of the GBS COO – Business Insights & Analytics team in Manulife.

Key Responsibilities:

• Analyze trends across KRIs, KCIs, and KPIs to identify emerging risks and control weaknesses
• Provide analytical input and recommendations to enhance metric design, including leading indicators, thresholds, and signal quality, and relevance
• Develop executive level insights and narratives for risk committees and senior leadership
• Partner with Cybersecurity (GCS) and Technology teams to improve interpretation of metric results
• Support thematic reviews and challenge metrics that do not provide meaningful risk insight
• Contribute to the evolution of the technology risk metrics framework and reporting approach
• Analyze breach trends and systemic risk patterns to inform leadership decisions.

Qualifications:

• Education: Bachelor’s degree holders with relevant work experience are welcome to apply
• 5–7 years’ experience in analytics, risk management, cybersecurity, or technology governance
• Strong analytical skills and ability to interpret complex data sets and identifying trends, patterns, and emerging risks
• Hybrid Work Arrangement: Amenability and readiness to work onsite and from home anytime (dependent on business need AND/OR current external environment/situation)
• Shift Schedule: Amenability to work on mid shift or night shift (dependent on business need)
• Proven ability to translate technical data into clear, business focused insights
• Strong understanding of risk metrics (KRIs, KCIs, KPIs), including leading and lagging indicators, with demonstrated ability to challenge and enhance metric design, thresholds, and overall signal quality to improve effectiveness
• Strong communication and stakeholder engagement skills
• Experience in supporting executive or committee-level reporting, including development of narratives and decision-focused insights is an asset
• Minimum Skills to Hire/Must Haves:
  • Should have advanced knowledge on Microsoft Excel (Power Query & VBA Macro)
  • Intermediate to advanced knowledge on Microsoft PowerPoint and Business Intelligence Tools such as Python, R for data querying, PowerBI, QlikView, Qlik Sense, Tableau, or any other similar tool.
  • Should have hands‑on experience in data analysis, data manipulation, and ETL processes skills such as collecting, transforming, and compiling raw data and generating useful reports from raw information.
  • Should have demonstrated data storytelling, data visualization, and data governance skills to create compelling reports with dashboard elements like tables, charts, graphs, heat maps, and data models.
  • Should have an extensive familiarity with data management concepts such as data warehousing, data mining and extraction, and predictive analytics and business reporting principles and best practices.
  • Should have analytical skills to rigorously and effectively examine large quantities of data and derive useful insights from these data sets.
  • Should provide mentorship to team members on best practices in reporting and dashboard development, while also leading team initiatives and strategic projects.

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.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/ をご覧ください。

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 [e-mail] までご連絡をお願いします。

Working Arrangement

ハイブリッド勤務