Senior Data Analyst
2 weeks ago
Senior
Data Analyst
is responsible for conducting data analyses using SAS/SQL/Python/R 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 rulesAccess and extract data from a variety of sources of all sizes (including client marketing databases) via SAS Access, SQL, Python 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)Provide problem solving and data analysis, derived from programming experienceDocument and articulate steps taken in an analysis to project managersAnswer questions about data sets and analysesFollow all policies and procedures for programming, project documentation, and system managementBecome familiar with…all offerings outlined in the Insider’s Guide to ACGvarious statistical offerings and methods (CHAID, logistic/multiple regression, cluster analysis, factor analysis, statistical analysis)Epsilon data assetsthe SAS macro libraryParticipate in the design, planning & execution of projectsEffectively manage time and resources in order to deliver on time / correctly on a limited number (1-4) of concurrent projectsProactively communicate with supervisor regarding workload and the status of assignments and manage stakeholders effectivelyQualificationsBachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework5-9 years of experience in the analytics field; marketing analytics experience preferredSome positions require a minimum of 1 year of experience conducting digital analyticsStrong analytic thought process and ability to interpret findingsAcute attention to detail (QA/QC)Ability to work on multiple assignments concurrentlyExcellent verbal and written communication skillsHighly motivated and collaborative team player with strong interpersonal skillsEffective organization and time management skillsDesirable Qualifications:Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative disciplineDatabase marketing experience/knowledgeAbility to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologiesAdditional InformationEpsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.
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