Job Description :
Job Title : Business Data Analyst II
Location: Hilliard, OH
Duration : 03 Month
Work Auth : UC-GC

Interview: F2F


JOB DESCRIPTION:

The Business Data Analyst within Finance Operations supports new products and special projects thru data analysis including data mining and statistical analysis. Data analysis responsibilities encompass quantitative and qualitative modeling including the design, development, implementation and validation of causal static and curvilinear time-series predictive linear, logistic and negative binomial models to form data driven conclusions. Data Mining responsibilities include creating algorithms to use patterns in the data to build and clarify models to derive consumer and business financial impacts.

Data analysis duties involve turning large volumes of data into actionable insight for the business by:
-Choosing relevant and meaningful business questions.
-Collecting the best data that is relevant for the decision from multiple large volume data repositories.
-Reviewing and understanding the data in context to the business and how it changes.
-Cleaning and transforming the data to prepare for data analysis models.
-Analyzing the data and creating data visualizations to answer the business question.
-Customizing the analysis to focus on very specific situations.
-Communicating results in an audience appropriate manner using applicable metrics, visuals, actionable insights, recommendations and decisions.
- Participate in the development of consumer behavioral models using advanced statistical tools and methodologies.
- Create framework, using data inferences and automation, to develop reproducible data driven recommendations optimizing stated business objectives.

This job requires gaining a strong working knowledge of data repositories and business applications as well as a strong understanding of how business users could utilize or adapt the data to support their areas of responsibility. This is a hands-on position requiring technical problem solving skills. 3 to 5 years of experience.

3+ years of Teradata or Oracle database experience is required with expert skills in writing advanced SQL, PL/SQL packages, functions and procedures and tuning database/query performance is required.
2+ years of experience R, Python, is required
2+ years of experience using statistical software like SAS or SPSS is preferred
Experience in NOSQL Databases is preferred