The Workforce Planning (WFP) team engages in complex, data-intensive projects with significant business impact. The team needs to support process improvements, key initiatives, and expand creative skills. The role requires making quick assessments and comprehension of unstructured problems to develop practical problem-solving strategies, interpret and reverse engineer legacy processes, and provide insights and recommendations based on data analysis to support business decision-making.
Requirements
- Advanced technical knowledge of data management, governance, data architecture, and big data platforms (AWS, Databricks, Snowflake).
- Strong experience in Python programming for data wrangling, automation, and testing.
- Proficiency in Alteryx for data preparation, blending, and analysis and experience designing, implementing, and optimizing ETL processes and data pipelines.
- Hands-on experience with scheduling tools (Airflow, Control M, or similar) with strong understanding of data modeling concepts, including operational and analytical data.
- Proven experience as a Data/Business Analyst, Data Engineer, or similar technical role and proficiency in SQL and relational databases with experience in reverse engineering processes and workflows and strong problem-solving skills and attention to detail.
- Experience in large-scale data handling and analytics.
- Exposure to visualization tools (Tableau, Qlik, Power BI, Looker).
Responsibilities
- Analyze and interpret complex data sets using Alteryx, Databricks, and Notebooks and deeply explore data to uncover trends, anomalies, and actionable insights for business operations.
- Develop and maintain Python scripts for data automation, transformation, and testing and design, implement, and manage automated scheduling solutions for data workflows (e.g., Airflow, Control M).
- Reverse engineer existing processes and workflows to improve efficiency and scalability and collaborate with end users to gather requirements and understand business needs.
- Develop and maintain comprehensive documentation for data models, ETL procedures, and data workflows.
- Build, test, and validate data pipelines, including developing test scenarios and assisting in UAT.
- Work closely with engineering and cross-functional teams for successful project implementation.
- Provide insights and recommendations based on data analysis to support business decision-making.
Other
- Our team is a highly-collaborative inclusive environment where we value relationship-building, strategic thinking and solution-oriented members.
- Embark on a rewarding and challenging career with our dynamic team where you will have the opportunity to make a significant impact by supporting process improvements, key initiatives and expanding your creative skills in a supportive and collaborative environment.
- Join us and contribute to our mission while advancing your career- with highly supportive leadership and programs to foster growth and career mobility, your skills and capabilities can increase and be fine-tuned to make you more agile and versatile in reaching your career potential.
- Excellent communication skills for conveying technical information to non-technical stakeholders and comfortable working directly with end users and cross-functional teams.
- Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field
