Job Posting Details

- Mine data and translate raw data into meaningful insights and recommendations

- Leverage project management skills to ensure solutions are built and delivered accurately and on time

- Apply various analytical models (trends analysis, correlations, linear/logistic regression, and more advanced ML techniques) to solve business problems

- Construct and maintain of a variety of predictive models (lead scoring, look-a-like, retention, and other customized predictive models). Develop revenue, ticket sales, attendance, and other forecasting models (familiarity with regression analysis and Python)

- Develop new approaches to present complex concepts using data visualization

- Collaborate with partners across Business Intelligence, Data Science and Consulting to leverage their business/technical expertise and develop the most optimal business solution

- Proactively ensure cross-functional stakeholders are fully aligned and informed of project status

- Develop custom solutions--such as utilizing diagnostic analytics to determine root causes of problems, or fixing and correcting existing models and analytical tools--as required by KAGR clients

- Mentor, formally and informally, team members and/or direct reports utilizing their subject matter expertise and experience

-Special projects and assignments as business dictates

- Responsible for the maintenance, creation and control of all personally identifiable information or any other information protected by any Confidentiality or Privacy Standards or Company Policies that you have access or knowledge of, including but not limited to any state or federal regulations including HIPAA

- Degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline

- 3+ years of professional experience required for this role

- Understanding and willingness to learn statistical analysis and modeling

-Ability to present complex data sets and analyses in easy to understand ways

- Experience and understanding of advanced analytical models and machine learning.

- Experience with Python required-Experience with SQL required for data mining

- Experience processing and analyzing large data sets. Expertise with Excel is required.

- Excellent analytical and problem-solving skills

- Exhibit planning, organizational, process, analytical, problem-solving, and communication skills

- Be proactive, autonomous, and willing to influence others

- Ability to work within a diverse team and serve a variety of stakeholders with different priorities

- Outstanding organizational skills and attention to detail

- Strong interest in learning and applying statistical methodologies, techniques, and processes.

- Interest in marketing analytics and advanced market research (customer segmentation, pricing analysis, factor analysis, stated-preference surveys).

- Must have attention to detail and focused concentration

Must be able to learn new tasks and complete tasks independently

Must be able to make timely decisions in the context of the workflow

Must possess strong organizational skills, ability to multi-task and responsiveness