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Allianz

Manager – Special Projects

Allianz

. Oversee the complete data lifecycle from creation and capture through processing and usage .

Posted 10/15/2026full-timePune • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data quality initiatives, data lifecycle management, and advanced analytics solutions, with a strong focus on collaboration across functions and effective people management. Proficient in developing dashboards and implementing data governance standards to drive organizational improvement.

Highest-signal resume keywords
Data Quality InitiativesSAP Analytics Cloud (SAC)Predictive ModelingFinancial ReportingAgile Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Lifecycle ManagementDashboard DevelopmentSQL-Based Data ModelsStatistical TestsVariance AnalysisForecastingData Governance StandardsAutomationProcess ImprovementAdvanced Analytics Solutions
Soft Skills
People ManagementMentoringClient Relationship ManagementTechnical Problem-SolvingCollaboration
Tools & Technologies
Power BIGrid Reporting Tools
Industry Keywords
Data QualityFinancial ReportingAgile CeremoniesPerformance ReviewsTraining

Tech Stack

Tools & technologies
CloudSQL

About the role

Key responsibilities & impact
  • Oversee the complete data lifecycle from creation and capture through processing and usage
  • Track and validate data movement between booking tools and downstream reporting systems
  • Identify data discrepancies, investigate root causes, and drive resolution
  • Develop and maintain data quality dashboards using SAP Analytics Cloud, Power BI, and Grid reporting tools
  • Implement data quality rules, statistical tests, and quality controls
  • Drive monthly financial reporting and performance commentary across multiple regions
  • Deliver Forecast vs. Actual and Budget vs. Actual variance analyses
  • Lead forecasting and planning cycles in SAP Analytics Cloud
  • Build predictive models and advanced analytics solutions for business decisions
  • Define and enforce data governance standards
  • Collaborate with regional and global functions and senior stakeholders
  • Monitor performance against SLAs and KPIs
  • Produce executive presentations and management information reports
  • Manage client relationships and resolve escalations
  • Drive automation, digitalization, process transitions, and organizational improvement initiatives
  • Lead Agile sprint planning, reviews, and retrospectives
  • Document data quality issues, resolutions, and lessons learned
  • Evaluate and recommend analytics tools and technologies
  • Guide and mentor a lean team of data analysts
  • Conduct performance reviews and set development goals
  • Support recruitment of specialist analytics talent
  • Foster continuous learning and technical excellence
  • Deliver training on planning, reporting tools, and data quality processes

Requirements

What you’ll need
  • Hands-on analytics leadership experience
  • Expertise in data quality initiatives and data lifecycle management
  • Experience developing dashboards using SAP Analytics Cloud (SAC), Power BI, and Grid reporting tools
  • Experience designing data quality rules within SQL-based data models
  • Knowledge of statistical tests and quality controls
  • Experience with financial reporting, variance analysis, forecasting, and planning
  • Experience building predictive models and advanced analytics solutions
  • Knowledge of data governance standards
  • Ability to collaborate with Operations, Finance, Technology, Underwriting, and Actuarial functions
  • Experience with Agile ceremonies, automation, digitalization, and process improvement
  • People management, mentoring, performance reviews, recruitment support, and training experience
  • Ability to manage client relationships and escalations
  • Technical problem-solving skills

Benefits

Comp & perks
  • Inclusive workplace focused on integrity, fairness, inclusion, and trust
  • Equal opportunities for all
  • Employee support for ambitions, dreams, and challenges
  • Opportunities to grow and shape a better future
  • Training on planning, reporting tools, and data quality processes