Sr Data Quality Analyst

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Octapharma Plasma offers professional opportunities that make a meaningful difference. We enhance the lives of patients who need our life-saving medicines. We reward the donors who provide the plasma we collect to make them. And we inspire growth and development in the teams at our donation centers, offices, and labs. We invite you to do the same in this role:

Sr. Data Quality Analyst -Onsite (M-F)

This Is What You’ll Do:

• Builds collaborative relationships with key stakeholders across the organization, demonstrates a strong understanding of the business model, identifies critical challenges and opportunities, and assesses the impact from an employee relations perspective.
• Maintains in-depth knowledge of trends, best practices, regulatory changes and legal requirements related to day-to-day management of team members, reducing legal risks and ensuring regulatory compliance. Partners with legal counsel as needed/required.
• Provides advice and counsel to managers and employees regarding behaviors, skills, and performance, including individual and team development, business decision-making, problem-solving and work place practices.
• Possesses strong mediation skills in order to facilitate problem/resolution conversations between employees and leadership.
• Owns and resolves complex and non-complex employee relations issues. Responsible for intake of complaints, investigating the allegation, developing an investigation plan, conducting effective interviews and data collection, completing a written summaries, and effectively communicating with relevant parties. Monitors processes and practices to ensure appropriateness, fairness and documentation that supports outcome.
• Analyzes data and trends to proactively identify strategies (i.e., training, policy changes) to optimize business performance and mitigate future risk in partnership with stakeholders from the HR team.
• Responsible for unemployment functions, such as claim responses and related hearings.
• Participates in the response to EEOC Claims for assigned client groups.
• Prepares monthly metric reports of Employee Relations activities.
• Maintains confidentiality of all sensitive and confidential information and/or activities.   
• Provides assistance to Human Resources leadership on other tasks and projects as required.

This Is Who You Are:

• A natural leader who displays strong character and integrity
• Excellent interpersonal skills, strong written and verbal communication skills
• A person committed to excellent customer service all day, every day
• Excited to teach, learn, and advance with a growing organization
• Self-motivated and willing to assume the initiative
• Attentive to every detail
• Capable of thriving while working independently

This Is What It Takes:

• Bachelor’s degree +5 years or Master’s degree +3 years of relevant experience in business, statistics, mathematics, computer science, engineering, economics, or a related field.
• 5+ years of experience in Business Intelligence, Data Warehouse development, or as a Business / Data Analyst.
• Experience working with enterprise data warehouses, building data pipelines, and feature engineering.
• Working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools (preferred: Azure).
• Experience using statistical computer languages to manipulate data and draw insights from large data sets (required: SQL and Python).
• Preferable experience implementing machine learning tools such as Azure Synapse or Data Bricks from the ground up.
• Strong statistics / econometrics background with solid understanding of sampling, statistical inference, hypothesis testing, regression analysis, time-series models, hierarchical models, etc.; Ability to interpret models and findings and speak to both technical and non-technical audiences.
• Experience using statistical modeling techniques listed above to drive strategic decisions from raw data to actionable insights.
• Preferable experience in data quality analytics, including root-cause analysis.
• Experience with data visualization software (Power BI, Tableau, MicroStrategy, Qlik, etc.) and distilling data into meaningful graphics.