Head of Data Analytics & Strategy

Unum; Portland (ME); On-site; USD 134,000 - 224,000; Full time

Benefits offered by this job

Award-winning culture

Inclusion and diversity as a priority

401(k) employer match

Student loan repayment options

Tuition reimbursement

Flexible work environments

Volunteer time off

Mental health support

Job summary

Unum is seeking a senior data analytics leader to oversee multi-disciplinary teams building data sources, pipelines, and analytics workflows to deliver data-driven insights that drive business value. You will translate findings into actionable strategies and partner with senior leadership across the organization.

The role requires 8+ years in data engineering/BI/data science, expertise in SQL/R/Python, and strong communication across all levels.

Qualifications

• Bachelor’s degree required.
• Master’s degree in Information Technology, Mathematics, or Statistics preferred.
• Minimum 8+ years hands-on experience as Data Engineer, BI Analyst or Data Scientist.
• Deep experience with analytics programming languages (SQL/R/Python).
• Experience with modern BI toolsets (Tableau, Alteryx, PowerBI).

Responsibilities

• Define the team analytics strategy in partnership with Leadership.
• Define tools, methodologies and staff mix for the department.
• Develop best practices for data usage and analytics standardization.
• Drive stakeholder buy-in for data consumption.
• Recruit, train, and manage staff performance and retention.
• Oversee construction of predictive models and data pipelines.
• Collaborate with partners to translate business needs into technical plans.

Skills

SQL

R

Python

Analytics

Leadership

Education

Bachelor's degree

Master's degree in IT/Math/Stats

Tools

Tableau

Alteryx

Power BI

Job description

Unum is seeking a senior data analytics leader to oversee multi-disciplinary teams building data sources, pipelines, and analytics workflows to deliver data-driven insights that drive business value. You will translate findings into actionable strategies and partner with senior leadership across the organization.

The role requires 8+ years in data engineering/BI/data science, expertise in SQL/R/Python, and strong communication across all levels.