Senior Decision Science Analyst – P&C Analytics

Jobtailor; Arizona; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in Arizona is seeking a Senior Data Analytics professional to lead and participate in cross-functional discussions, translating complex business objectives into data-driven strategies. You will apply advanced analytical techniques to impact current and future planning, and present insights to management.

The role emphasizes data visualization, data wrangling, and the ability to turn recommendations into actionable changes.

Qualifications

• Advanced statistical methods for data-driven decision making.
• Experience with data wrangling and cleaning from diverse sources.
• Ability to translate insights into action for management.

Responsibilities

• Lead cross-functional discussions to influence solution strategies.
• Apply analytical techniques to solve medium to large-scale problems.
• Communicate findings to management with clear materials.
• Document methodology and assumptions for peer review.

Skills

Data Analysis

Statistical Techniques

Data Visualization

SQL Proficiency

Business Strategy Influence

Education

Bachelor's degree in quantitative analytics field

4 years of related statistics/analytics experience

Tools

SAS

BI Tools

Data Visualization Tools

Cloud Technologies

Neural Networks

IoT

Streaming Data

Job description

• Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
• Applies innovative and 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 various levels of management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and gathers 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).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
• Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework).
• 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 quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience 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 and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
• Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Advanced 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.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Core Competencies

Demonstrates expertise in advanced analytical techniques and data visualization to drive business strategy and decision-making. Proficient in integrating and transforming data sources while ensuring compliance and effective communication of insights to various management levels.

Highest-signal resume keywords

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

ATS Optimization Keywords

Hard Skills

• Quantitative Analysis
• Data Wrangling
• Data Mining
• Mathematics
• Statistical Analysis
• Exploratory Data Analysis
• Analytical Techniques
• Data Hygiene Techniques
• Insight to Action Recommendations
• Emerging Technology Adoption

Soft Skills

• Cross-Functional Collaboration
• Effective Communication
• Influencing Skills
• Problem-Solving
• Documentation Skills

Industry Keywords

• Data Science
• Finance
• Economics
• Statistics
• Actuarial Sciences
• Operations Research
• Business Analysis
• P&C Insurance
• Marketing
• Risk Compliance

Tools & Technologies

• SAS
• BI Tools
• Data Visualization Tools
• Cloud Technologies
• Neural Networks
• IoT
• Streaming Data