This position is for a Data Integration Specialist with a primary location in Oxford, MS.

　　Duties and Responsibilities: Develop and maintain ETL (Extract, Transform, Load) processes to ensure seamless data integration from various sources into our data warehouse. Create and optimize complex SQL queries to extract, transform, and aggregate data for reporting and analytics purposes. Leverage Python and R for data cleaning, manipulation, and statistical analysis. Collaborate with cross-functional teams to understand data requirements and implement automated data pipelines. Ensure data quality and accuracy by implementing validation checks and error handling mechanisms. Utilize Google BigQuery for scalable data analysis and transformation. Implement forecasting models such as ARIMA and Prophet for predictive analytics. Automate and orchestrate ETL processes using PowerShell, scripts, and other technologies. Integrate Tableau with external data sources and APIs to create dynamic, real-time dashboards. Prioritize project tasks and handle scope changes while ensuring projects meet deadlines and business objectives. Collaborate closely with stakeholders, including data analysts, business leaders, and IT teams, to align project goals with business needs. Lead project teams, allocate resources, and track project progress using project management tools and methodologies. Maintain clear documentation of project plans, milestones, and outcomes to ensure effective communication and reporting.

　　Requirements/Qualifications: Bachelor's degree in Computer Science, Data Science, or related field. Proven expertise in SQL, with the ability to write complex queries and optimize for performance. Proficiency in Python and R for data manipulation and analysis. Experience with ETL processes, data pipeline orchestration, and automation. Proficiency in scripting languages (Python, PowerShell) for automation. Familiarity with Google BigQuery or similar cloud-based data warehouses. Knowledge of forecasting models (ARIMA, Prophet) and statistical analysis. Strong understanding of data governance and compliance standards. Excellent communication and collaboration skills to work with cross-functional teams. Strong project management skills, including project planning, execution, and monitoring. Familiarity with project management methodologies (e.g., Agile, Scrum, Waterfall). Project management certifications (e.g., PMP, PRINCE2) are a plus.

　　[]{#_Hlk134537598}An Equal Opportunity Employer