Data Analyst – Marketing

Role Overview

• Applies moderately advanced mathematical, statistical, and quantitative techniques to solve medium-to-large scale business problems that significantly impact current and future business strategies.
• Builds descriptive or explanatory models or uses the output of models created by others.
• Analyzes larger datasets to identify trends, patterns, and business opportunities. Leverages interactive data visualization tools and statistical techniques such as distribution analysis, correlation analysis, outlier detection, multivariate analysis, time series, machine learning, and others to uncover hidden insights.
• Conducts thorough exploratory data analysis (EDA) to uncover opportunities including testing hypotheses and validating findings with business partners.
• Facilitates discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives.
• Influences solution strategies and outcomes by leveraging expanded knowledge of the business.
• Collects data from a variety of sources and integrates and transforms disparate datasets to create cohesive datasets for analysis.
• Assesses data quality and applies data hygiene techniques to ensure accuracy and consistency.
• Supports data reliability by conducting quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed.
• Assists deployment and monitoring of more complex predictive models into workflows.
• Translates technical data insights into communications and presentations for non-technical business partners and leadership to ensure data-driven insights and recommended action plans are easily understandable.
• Actively seeks feedback from more experienced team members and engages in professional development opportunities to enhance skills and contribute effectively to team objectives.

Requirements

• 5+ years of work experience required in data analysis, statistical or mathematical modeling, or related.
• Demonstrated written communication skills.
• Demonstrated analytical skills.
• Demonstrated problem solving skills.
• Possesses strong technical aptitude. Proficient in Microsoft Office suite.
• Proficiency in applying moderately advanced statistical and machine learning concepts and tools.
• Proficiency in working with datasets including data wrangling and data munging.
• Able to adapt quickly to new technologies.
• Working knowledge of data analysis and manipulation tools (SQL, Python, SAS, R, and/or Snowflake).
• Experience performing A/B Testing

Nice to have

• Experience in insurance industry preferred.
• Working knowledge of data visualization tools (example, Tableau, Power BI).

Tech Stack

• Python
• SQL
• Tableau

Benefits

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Paid Time Off.
• Training & Development opportunities in partnership with renowned companies.