Lead - Analytics - IT

- We re looking for someone with at least 4 years of experience in a position monitoring, managing, manipulating, and drawing insights from data.

- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources.

- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.

- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

- Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.

- Experience working with and creating databases and dashboards using all relevant data to inform decisions.

- Experience using analytics techniques to contribute to company growth efforts, increasing revenue, and other key business outcomes.

- Strong problem solving, quantitative and analytical abilities.

- Strong ability to plan and manage numerous processes, people, and projects simultaneously.

- Excellent communication, collaboration, and delegation skills.

- The right candidate will also be proficient and experienced with the following tools/programs:

- Strong programming skills with querying languages: SLQ, SAS, etc.

- Experience with big data tools: Teradata, Aster, Hadoop, etc.

- Experience with testing tools such as Adobe Test Target

- Experience with data visualization tools: Tableau, Raw, chart.js, Mixpanel, Metabase, Re-Dash, Power-BI, etc.

- Experience with Adobe Analytics and other analytics tools, C , Python Java, or other programming languages

- Experience with Excel, Word, and PowerPoint.