Claims Controller – Claims Controlling, Impact Analytics

Enzo

. Take responsibility for developing a sound, comprehensive view of claims trends across insurance partners .

Posted 10/15/2026full-timeHeidelberg • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in claims controlling and analysis within the property and casualty insurance sector, with a strong focus on data-driven decision-making and the ability to present complex findings clearly. Proficient in utilizing advanced analytical methodologies and BI tools to enhance claims performance and operational improvements.

Highest-signal resume keywords

Claims ControllingData AnalysisKPI ManagementAdvanced Excel SkillsPower BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Claims AnalysisClaims ProcessesAnalytical MethodologiesSQL SkillsData StructuresPayment Status AssessmentClaims Cost AnalysisPortfolio SelectionLoss RatiosAutomated Reporting

Soft Skills

Precise Working StyleClear CommunicationConstructive Willingness to ChallengeOwnership of ProcessAbility to Present Findings

Tools & Technologies

Power BITableauBI ToolsReporting Tools

Industry Keywords

Property and Casualty InsuranceClaims ManagementInsurance ControllingResidential Property InsuranceData ValidationClaims MaturityExposure AssessmentObservation Period

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Take responsibility for developing a sound, comprehensive view of claims trends across insurance partners
Establish cross-partner claims controlling for the managed insurance portfolios
Analyze claim frequency, average claims cost, total claims costs and, where applicable, loss ratios
Segment data by causes of loss, portfolio characteristics, time periods and relevant customer groups
Identify and professionally assess trends, deviations and anomalies at an early stage
Coordinate data requirements, KPI definitions and analysis methodologies with insurance partners
Consolidate and validate different portfolio and claims data sources
Account for portfolio structure, exposure, observation period, claims maturity and reserve levels
Establish transparent standards for cross-partner analyses
Develop before-and-after analyses and comparisons between portfolios with and without sensors
Assess whether observed differences can be attributed to prevention or other influencing factors
Distinguish between observed changes, modeled savings and proven effects
Work with Customer Success and the Data team on impact and ROI models
Prepare clear reports and analyses for business functions, management and executive boards
Collaborate with partners’ claims controlling, claims management and actuarial teams
Derive recommendations for portfolio selection, prevention measures and operational improvements
Build reusable analyses and increasingly automated reporting processes

Requirements

What you’ll need

Several years of experience in claims controlling, insurance controlling, claims analysis or a comparable analytical role at an insurer
Strong understanding of claims processes and the business management of property and casualty insurance
Experience in residential property insurance is particularly valuable
Knowledge of the KPIs, data structures and analytical methodologies used to manage claims performance
Ability to professionally assess payment status, reserves and claims costs
Understanding of the differences between analyses by accident year, reporting year and underwriting year
Ability to distinguish robust conclusions from data from conclusions that are not sufficiently supported
Precise working style and transparent presentation of assumptions, uncertainties and analytical limitations
Advanced Excel skills
Experience with BI and reporting tools, such as Power BI, Tableau or comparable solutions
Ideally, SQL skills and experience working with large datasets
Interest in transforming manual analyses into reliable, repeatable processes
Ability to explain complex analyses clearly and present and defend them to experienced contacts on the insurer side
Constructive willingness to challenge results
Ownership of the process from data request through to a robust conclusion
Excellent German and good English

Benefits

Comp & perks

Permanent employment contract
Six-month probationary period
40 hours per week
30 days of annual leave
Hybrid working model with three days per week on-site
Significant scope for shaping the role and taking responsibility
Short decision-making processes
Close collaboration with the founding team
Direct influence on product development, customer work and strategic decisions
Builder culture focused on clarity, ownership and tangible improvements