Senior Analytics & Data Science Lead

Habitat For Humanity Of Durham; Raleigh (NC); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Disability insurance

401k plan

Paid time off

Job summary

Truist Financial Corporation is seeking a senior analytics professional to perform advanced analytics and statistical modeling on technology-driven data sets to support strategic decision making. The role involves defining data requirements, cleaning and analyzing data, and delivering insights that inform data science and big data initiatives.

Responsibilities include developing ML models, creating comprehensive visualizations, and collaborating with cross-functional teams to translate business

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field, or equivalent experience.
• Minimum 7 years in analytics, data science, or related roles.
• Proficiency in Python, R, or SQL for analytics.
• Strong data visualization skills with Tableau or Power BI.

Responsibilities

• Designs and executes complex data analyses to inform business strategies.
• Develops and implements advanced statistical models and ML algorithms.
• Creates data visualizations and dashboards to communicate findings to stakeholders.
• Collaborates with cross-functional teams to translate business needs into analytics solutions.
• Implements process improvements to increase efficiency in data analysis workflows.
• Supports complex data science and big data projects.
• Mentors junior analytics professionals.
• Ensures data governance, privacy, and security standards.
• Reviews data quality and integrity to ensure reliable outputs.

Skills

Python/R/SQL

Data visualization

Analytics experience

Education

Bachelor's degree in Data Science/Statistics/CS

Master’s degree (preferred)

Tools

Tableau

Power BI

Job description

Truist Financial Corporation is seeking a senior analytics professional to perform advanced analytics and statistical modeling on technology-driven data sets to support strategic decision making. The role involves defining data requirements, cleaning and analyzing data, and delivering insights that inform data science and big data initiatives.

Responsibilities include developing ML models, creating comprehensive visualizations, and collaborating with cross-functional teams to translate business