Job Description :
COMPANY DESCRIPTION
Client is the leader in outcome-based marketing. We enable marketing that’s built on proof, not promises. Through Client PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Client helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Client’s award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world’s top brands, agencies and publishers, Client is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis
Groupe, Client is a global company with over 8,000 employees in over 40 offices around the world. For more
information, visit Client.com. Follow us on Twitter at @ClientMktg.
JOB DESCRIPTION
The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging various analytics to drive strategic thought and effective decision making.
The Data Analyst 2 is responsible for conducting data analyses using SAS/SQL and other tools in support of a variety of
analytic solutions.
Roles & Responsibilities
• Collaborate with internal/external stakeholders to manage data logistics – including data
specifications, transfers, structures, and rules
• Access and extract data from a variety of sources of all sizes (including client marketing
databases) via SAS Access, SQL, etc.
• Master and perform all steps required to create analysis-ready data sets; including data
integration/merging (SAS data step), variable preparation, and quality control (QA/QC)
• Develop and execute SAS/SQL (or related) programs with minimal direction and supervision
• Provide problem solving and data analysis, derived from programming experience
• Demonstrate proficiency with desktop and UNIX toolsets (SAS, SAS ODS, SQL, MS Office) to
create pivot tables and/or report content such as tables, reports, graphs, etc. (some positions
require proficiency in digital analytic tools including Google and/or Adobe Analytics and
familiarity with digital data, in addition to or in lieu of SAS/SQL)
• Document and articulate steps taken in an analysis to project managers
• Answer questions about data sets and analyses
• Follow all policies and procedures for programming, project documentation, and system
management
• Become familiar with…
• all offerings outlined in the Insider’s Guide to ACG
• various statistical offerings and methods (CHAID, logistic/multiple regression, cluster
analysis, factor analysis)
• Client data assets
• the SAS macro library
• Participate in the design, planning & execution of projects
• Effectively manage time and resources in order to deliver on time / correctly on a limited number
(1-4) of concurrent projects
• Proactively communicate with supervisor regarding workload and the status of assignments
• Prepare basic report content (Word, Excel, PowerPoint) in support of deliverables
• Perform two tasks related to the role of Sr. Data Analyst during the year
QUALIFICATIONS
Minimum Qualifications:
• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing
Analytics) or significant relevant coursework
• 5-7 years of experience in the marketing analytics field
• Some positions require a minimum of 1 year of experience conducting digital analytics
• Demonstrated proficiency in SAS/SQL programming; minimum 2 years of experience
• Strong analytic thought process and ability to interpret findings
• Acute attention to detail (QA/QC)
• Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook
• Ability to work on multiple assignments concurrently
• Excellent verbal and written communication skills
• Highly motivated and collaborative team player with strong interpersonal skills
• Effective organization and time management skills
Desirable Qualifications:
• Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
• Database marketing experience/knowledge
• Ability to program in newer and emerging languages such as R and Python; working knowledge
of Hadoop and other big data technologies