Analytics Consultant

Must-Have Skills & Experience

Professional Experience: 7+ years of relevant professional work experience in analytics or data science.
Modeling Experience: 5+ years of hands-on experience in statistical modeling, including techniques like random forest, time series, GLM, and multiple regression.
Data Engineering: Solid background in data engineering, capable of independently handling data preparation, cleaning, and transformation.
Programming Languages: Proficiency in SAS and/or Python, with several years of recent experience.
SQL: Strong SQL skills for data querying and manipulation.
Communication: Excellent communication and presentation skills to effectively convey complex analytical findings to diverse audiences.
Work Ethic: Demonstrated strong work ethic and self-motivation.

Responsibilities

Design, develop, and implement statistical models to solve business problems.
Perform data engineering tasks to prepare data for modeling and analysis.
Communicate analytical findings and insights to stakeholders at all levels.
Collaborate with cross-functional teams to gather requirements and deliver solutions.
Stay up-to-date on the latest modeling techniques and technologies.

Preferred Qualifications

Education: Formal background in statistics, data science, social sciences, public health, or economics.
Modern Toolsets: Familiarity with modern modeling toolkits like H2O or Snorkel.