SAS Campaign Analyst - Data Visualization Tools (5-8 yrs)

A SAS Campaign Analyst is responsible for designing, executing, and analyzing marketing campaigns using SAS software. They leverage data-driven insights to optimize campaign performance, enhance customer engagement, and support business growth.

Key Responsibilities :

Campaign Management :

- Design and execute targeted marketing campaigns using SAS tools.

- Segment customer data to ensure precise targeting and personalization.

Data Analysis:

- Analyze campaign performance metrics to identify trends and insights.

- Provide actionable recommendations to improve campaign effectiveness.

SAS Programming:

- Write and optimize SAS code for data extraction, manipulation, and analysis.

- Automate campaign workflows and reporting processes.

Collaboration:

- Work closely with marketing teams to align campaigns with business objectives.

- Coordinate with IT and data teams to ensure data accuracy and accessibility.

Reporting and Visualization:

- Create dashboards and reports to track campaign KPIs (e.g., ROI, CTR, conversion rates).

- Present findings and strategies to stakeholders in a clear, actionable format.

Compliance and Best Practices:

- Ensure campaigns comply with data protection regulations and organizational standards.

- Stay updated on marketing trends and data analytics best practices.

Required Skills and Qualifications:

Technical Expertise:

- Proficiency in SAS (Base, Enterprise Guide, and Campaign Management).

- Strong understanding of SQL for data querying and manipulation.

- Familiarity with CRM platforms and marketing automation tools.

- PEGA

- Teradata SQL

- SAS campaign management tools (SAS MA, SAS CI360, SAS RTDM)

Analytical Skills:

- Strong analytical mindset with the ability to interpret data and translate it into insights.

- Experience with data visualization tools like Tableau or Power BI is a plus.

Soft Skills:

- Excellent communication and presentation skills.

- Ability to work collaboratively in cross-functional teams.

- Strong organizational and time-management abilities.

Preferred Qualifications:

- Bachelor's degree in Marketing, Data Science, Business Analytics, or a related field.

- 3+ years of experience in campaign analysis or a similar role.

- Experience in customer segmentation and predictive modeling.

- Familiarity with GDPR and other data privacy regulations.