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Title: SAS Database Marketing Campaign AnalystLocation: Fully RemoteDuration: 6+ MonthsCompensation: $65-70/hr W2Industry: BankingWork Requirements: US Citizen, GC Holders or Authorized to Work in the US Job Description:Our client is seeking a Database Marketing Campaign Analyst to play an integral role in developing and executing marketing campaigns for various lines of business. The candidate is responsible for campaign management by gathering campaign requirements, building campaigns using SAS tools, and collaborating with various internal and external partners. Must be able to work independently with strong analytic, communication, and project management skills.Responsibilities:
- Interpret business needs into detailed campaign and analytic requirements
- Build and execute marketing campaigns start to finish using SAS and/or other tools
- Perform quality control of campaign data to verify expected results are met
- Collaborate with internal and external partners
- Engage with Analytics/Reporting team to confirm campaign reporting/tracking objectives are built into campaign
- Optimize campaign process and workflows to improve efficiency and increase output
- Interface closely with various product and marketing teams for project management and scheduling
- Coordinate campaign deliverables to internal and/or external end users
- Experience negotiating priorities
- Document campaign audit requirements for risk/compliance
- 5+ years of database marketing campaign operations, marketing analytics or related field
- Prior SAS, SQL or related coding experience
- Experience extracting data from multiple source systems and relational databases
- Analytic and problem-solving skills with an attention to detail.
- Financial Services experience preferred
- Ability to multi-task under tight deadlines
- Project management experience, ability to lead project from inception to completion
- Excellent written and oral communication skills
- Demonstrated ability to work in a fast-paced, team-oriented, and collaborative environment
- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience
- Five plus years' experience of statistics or analytics experience
- Comprehensive medical benefits
- Competitive pay, 401(k)
- Retirement plan
- and much more!