Data Intelligence Analyst (711259)

1. Build, extract, and data mine a variety of large data sets, synthesize data using SQL, R, and Python, to identify trends, gaps, and opportunities in order to produce predictive insights and action items to move the business forward.

2. Design and execute experiments to produce proof of concept in order to test and validate the feasibility of business proposals, help prioritize resource investments and recommend next steps.

3. Develop predictive tools, including implementing and modeling machine learning algorithms, to examine business practices and support inventory purchasing and manufacturing decision-making.

4. Build complex ML models using Scikit-learn and XGBoost to enhance predictive accuracy and automate and optimize business processes.

5. Design and implement normalized data models to reduce redundancy of raw data, increase effectiveness, and lower costs.

6. Develop methods to systemically identify outliers using SQL and Python tools including Pandas and Scipy, test, and implement new business metrics and identify solutions to business problems using the results.

7. Identify business problems, analyze large data sets, and build forecasting models using Python and Tableau to continually improve existing processes with automation, new technology, key insights, and best practices.

8. Collaborate with analysts, data engineers, project managers, testing and design team, and subject matter experts to recommend and deliver impactful data-driven solutions and processes for new organizational initiatives.

9. Multi-task a steady flow of incoming and concurrent data analysis projects in MS Excel, including using built-in forecasting features and writing macros, and handling priorities ranging from high-visibility executive needs to ad hoc requests from internal customers.

10. Engage with business leaders, end users, and team members to develop a deep understanding of the business and its needs.

May telecommute.

The position requires three (3) years of experience in the job offered or related occupation. Experience must include:

a. Synthesizing data using SQL, R, and Python.

b. MS Excel, including using built-in forecasting features and writing macros.

c. Analyzing large data sets and building forecasting models using Python and Tableau.

d. Building complex ML models using Scikit-learn and XGBoost.

e. Developing methods to systemically identify outliers using SQL and Python tools including Pandas and Scipy.

f. Implementing and modeling machine learning algorithms.

g. Collaborating with testing and design team.

Bachelor's (or foreign educ. equiv.) Degree Mathematics, Engineering, or related field.

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #711259 in the subject line.

Thank you.