Intermediate Decision Science Analyst – P&C Claims Analytics

Jobtailor; Arizona; On-site; USD 70,000 - 100,000; Full time

Job summary

Jobtailor is seeking a data analytics professional to collaborate with cross-functional teams and translate data into actionable business insights. You will apply analytics to solve medium-to-large scale problems and communicate findings to stakeholders.

You will build and present dashboards, ensure data quality, and document methodologies while supporting data-driven decisions and compliance. This role emphasizes collaboration and clear communication.

Qualifications

• Bachelor’s degree or 4 years of relevant education/experience in a quantitative field.
• Demonstrates intermediate knowledge of mathematical and statistical techniques.
• Intermediate knowledge of data analysis tools and visualization to drive fact-based decisions.

Responsibilities

• Participate in discussions with cross-functional teams to understand business objectives.
• Apply advanced analytical techniques to solve medium to large-scale problems.
• Draw insights and recommendations to influence business strategy and changes.
• Translate recommendations into communication materials for peers and senior analysts.
• Incorporate visualization to support key points for non-technical audiences.

Skills

Data analysis

Statistical techniques

Quantitative analysis

Exploratory data analysis

Analytical techniques

Collaboration

Communication

Influencing

Documentation

Data visualization

Education

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a quantitative field

4 years of relevant education and/or experience

Tools

SQL

SAS

BI Tools

Data Visualization Tools

Job description

• Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
• Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
• Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
• 2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline.
• Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

Core Competencies

Demonstrates expertise in advanced analytical techniques and data visualization to drive business strategy and decision-making. Proficient in translating complex data insights into actionable recommendations for cross-functional collaboration and compliance.

Highest-signal resume keywords

• Data Analysis
• Statistical Techniques
• SQL Development
• Data Visualization
• Business Strategy Influence

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Statistical Techniques
• Quantitative Analysis
• Exploratory Data Analysis
• Analytical Techniques

Soft Skills

• Collaboration
• Communication
• Influencing
• Documentation

Industry Keywords

• Economics
• Finance
• Statistics
• Actuarial Sciences
• Operations Research
• Data Science

Tools & Technologies

• SQL
• SAS
• BI Tools
• Data Visualization Tools