SAS Customer Insights Analyst

Job Title

SAS Customer Insights Analyst

SAS Client

Marketing Company

Start Date

October 2022

Duration

1 year 2,000 hours

Hours Per Week

40 hours per week

Rate

Client Location

Connecticut

Working Location

100% Remote

Citizenship Requirements

Candidates must be legally authorized to work in the United States.

SAS is seeking a full-time SAS Customer Insights Analyst to work with our client, a Marketing Analytics client.

A minimum of Bachelor's, preferably in Analytics, Computer Science, Information Systems, Mathematics, Economics, Engineering, Statistics or a related field is required and equivalent work experience required.

Successful candidates will possess:

Competencies in utilizing SASSQL for data retrieval and analysis

SAS Programming experience. Other coding languages are a plus (R, Python, etc.)

Strong analytical, conceptual, and problem-solving abilities

Ability to interpret data effectively to provide insight for strategic partnerships

Skillful in Microsoft applications with advanced Excel exposure (ex. v-lookups, pivot tables, VB macro scripting, etc.)

Experience in SAS Visual Analytics, Power BI, or Cognos is a plus

Ability to work on multiple projects and tasks simultaneously

Effective verbal and written communication skills, including ability to communicate and collaborate effectively with internal and external stakeholders

Strong time management skills

Ability to adapt to challenging situations

5+ years of SAS programming, data architecting and technical design.

Analytical Programming experience in SAS as well as experience with SAS Visual Analytics.

Be proficient in Base SAS programming (DATA step), SQL programming (i.e., use of SQL pass-through or PROC SQL), as well as the SAS Macro language for use in making code more efficient.

Good written and spoken communications skills in English and thought-leadership skills.

Services may include focus on and require the Consultant to:

Support operational reporting component of the WebLoyalty business

Maintain existing reporting processes

Build automated reporting processes to minimize manual effort

Collaborate with cross-functional teams to translate business objectives into analyses

Act as a data expert to support account teams in answering questions and queries