Job Summary
Join our dynamic team as a Data Analyst where you will leverage your expertise in data analysis and domain skills in Cards and Payments to drive impactful insights. With a focus on SAS you will play a crucial role in optimizing sales and marketing strategies. This hybrid role offers a collaborative environment with a day shift schedule allowing you to contribute effectively without the need for travel.
Responsibilities
Analyze complex datasets using SAS Managed Market tools to derive actionable insights for business growth.Collaborate with cross-functional teams to develop and implement brand analytics strategies that enhance market positioning.Utilize statistical methods and KPI assessment to evaluate and rationalize business performance metrics.Conduct exploratory data analysis (EDA) to identify trends and patterns that inform strategic decision-making.Manage incentive compensation processes to ensure alignment with organizational goals and objectives.Engage in pharma research and development projects applying advanced analytics to drive innovation.Employ Dataiku and machine learning techniques to automate data processes and improve efficiency.Calculate return on investment (ROI) for marketing campaigns to optimize resource allocation.Leverage Alteryx for data blending and advanced analytics to support retail demand forecasting initiatives.Utilize R Statistical Package and Python for robust data modeling and predictive analytics.Develop SQL scripts to extract transform and load data for comprehensive analysis.Create compelling presentations using MS PowerPoint to communicate findings to stakeholders.Apply domain expertise in Cards and Payments to tailor analytics solutions that meet industry-specific needs.Work collaboratively in a hybrid model balancing in-office and remote work to maximize productivity. QualificationsPossess a strong background in data analysis with at least 7 years of experience in relevant fields.Demonstrate proficiency in SAS LS Salesforce and Managed Market analytics.Exhibit expertise in brand analytics sales and marketing strategies and statistical analysis.Showcase skills in KPI assessment exploratory data analysis and incentive compensation management.Have experience in pharma research and development utilizing Dataiku and machine learning.Be adept in ROI calculation Alteryx and retail demand forecasting.Proficient in R Statistical Package MS Excel Python and SQL scripting.Skilled in creating impactful presentations with MS PowerPoint.Bring domain knowledge in Cards and Payments to enhance analytics solutions.Adapt to a hybrid work model with a focus on collaboration and productivity.Maintain a proactive approach to problem-solving and strategic thinking.Communicate effectively with stakeholders to drive data-driven decisions.Stay updated with industry trends and advancements in data analytics.
Certifications Required
SAS Certified Data Scientist
