Sr Data Quality Analyst

Octapharma Plasma - Charlotte, NC

Full-time - Mid Level

Charlotte, NC

Merchant Wholesalers, Nondurable Goods

About the position

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).

Responsibilities

• 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.
• Provides advice and counsel to managers and employees regarding behaviors, skills, and performance, including individual and team development, business decision-making, problem-solving and workplace practices.
• Facilitates problem/resolution conversations between employees and leadership using strong mediation skills.
• Owns and resolves complex and non-complex employee relations issues, including intake of complaints, investigating allegations, developing investigation plans, conducting effective interviews and data collection, and completing written summaries.
• Analyzes data and trends to proactively identify strategies 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.

Requirements

• 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.
• Experience using statistical modeling techniques 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.
• Excellent communication and presentation skills; ability to communicate technical results to non-technical audience.
• Ability to align automation initiatives with business objectives and drive organizational change.
• Strong data analysis and profiling skills.
• Ability to develop and implement data quality strategies.
• Proficiency in data quality tools and software.
• Strategic mindset with strong organizational, analytical, quality detail orientation, negotiation, decision-making, time management, and process improvement skills.
• Works well in a collaborative, team-oriented environment.
• Ability to work autonomously with very limited supervision.

Benefits

• Formal training
• Outstanding plans for medical, dental, and vision insurance
• Health savings account (HSA)
• Employee assistance program (EAP)
• Wellness program
• 401 (k) retirement plan
• Paid time off
• Company-paid holidays
• Personal time