Data Analyst
Description
Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.
This role partners closely with US based leaders, Operations, Analytics, and Technology teams to translate complex data into clear insights that drive operational effectiveness and continuous improvement across Cigna."
Job title:
Job Description:
Education:
- Bachelor’s degree in Business, Analytics, Information Systems, Statistics, or a related field.
Mandatory Skills:
- Strong analytical, problem solving, and critical thinking skills.
- Excellent written and verbal English communication skills, with experience supporting senior stakeholders.
Preferred Skills:
- Experience supporting US or global stakeholders from a Philippines based delivery environment.
- Experience working in healthcare, operations, service delivery, or large enterprise organizations.
- Familiarity with enterprise analytics environments (e.g., SQL, Snowflake, Databricks, or similar platforms).
- Experience transforming operational data into insights that support performance improvement.
Roles & Responsbilities:
Enterprise Reporting & Dashboards
- Design, build, and maintain enterprise dashboards and scorecards using standardized reporting frameworks and approved BI tools.
- Integrate and analyze data across multiple Cigna platforms and systems, ensuring consistency and alignment to business outcomes.
- Support recurring and ad hoc reporting needs for operational and leadership audiences in the US and Philippines.
Trend Analysis & Insight Development
- Perform trend, variance, and root cause analysis across datasets and platforms to identify performance patterns, risks, and opportunities.
- Synthesize large and complex datasets into clear insights and recommendations, not just metrics or charts.
- Proactively highlight trends and issues before they become performance risks.
Data Storytelling & Executive Support
- Translate analytical findings into concise, business friendly narratives for leadership consumption.
- Prepare executive ready presentations, summaries, and talking points that connect data to decisions.
- Support leadership discussions by explaining trends, drivers, and potential actions.
Stakeholder Partnership & Global Collaboration
- Partner with US based and global stakeholders to gather requirements, clarify expectations, and deliver meaningful insights.
- Act as a trusted analytics partner to Operations and functional teams by helping interpret performance data.
- Participate in global meetings and adjust schedules as needed to support collaboration across time zones.
Data Quality, Standards & Continuous Improvement
- Validate data accuracy and consistency across reporting sources.
- Document metric definitions, logic, and assumptions to support transparency and audit readiness.
- Identify opportunities to streamline reporting processes, automate recurring outputs, and improve reporting maturity.
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