Previous Job
Previous
Data Analyst - Digital Analytics SME
Ref No.: 17-05010
Location: San Antonio, Texas
Position Type:Contract
Start Date: 06/05/2017
Title: Digital Analytics SME
Location: San Antonio, TX
Type: Contract (1 Year)


Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

Job Requirements
Leverages business/analytical knowledge to participate in discussions with cross-functional teams to understand and collaborate on business objectives and influence solution strategies. The business problems analyzed are typically medium to large scale with impact to current and/or future business strategy.

Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews. Subsequent analysts should be able to rely on documentation to replicate and continue work.

Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy. Recommendations typically have an impact on business results.

Minimum Requirements
If Bachelor's degree, 2+ years experience in a decision support analytic function Or If Master's Degree, 0-2 years experience in a decision support analytic function Or If PhD, 0 years experience in a decision support analytic function
Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline (Four years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required) OR A Master's Degree in quantitative analytics or a related field OR A PhD in quantitative analytics or a related field
*Qualifications may warrant placement in a different job level.*

Preferred
Experience with developing and analyzing designs of experiments
Demonstrated ability to share data driven insights and influence business stakeholder's decisions
Working knowledge of the testing software APT or other testing packages
Experience working with SAS
Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Experience developing presentations to communicate findings/recommendations.
Intermediate knowledge of data analysis tools;
Intermediate knowledge in developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software.
Intermediate knowledge of relevant industry data & methods and ability to connect external insights to business problems.