407649 Quality Data Analyst

Key Responsibilities
\n Develop and Maintain Dashboards: Utilize Power BI to design, develop data models, and maintain dashboards and reports that effectively communicate quality and risk management insights to stakeholders.
\n Data Analysis, exploration, and delivery: Conduct thorough data analyses to answer business queries, uncover trends, and support decision-making across quality assurance and risk management functions.
\n Collaborate on Business Requirements: Work closely with cross-functional teams to understand business needs, design quality and risk experiments, translate them into data-driven solutions and actionable insights.
\n Support Data-Driven Decisions: Leverage analytical skills to identify and interpret patterns in data, helping to inform quality improvement and risk mitigation strategies.
\n Enhance Data Quality: Ensure data accuracy, integrity, and quality through effective data validation and regular audits, supporting reliable reporting and analysis.
\n Optimize Data Visualizations: Create intuitive and impactful data visualizations in Power BI that cater to different levels of technical and non-technical audiences within the organization.
\n Process Improvement: Identify areas for process optimization, recommending and implementing improvements to streamline data workflows and reporting capabilities.
\n User Training and Support: Train and support end-users in Power BI functionalities, helping them understand and interact with dashboards to make data-informed decisions.
\n Assist with Project Management: Contribute to project planning and delivery, ensuring data-related milestones align with project goals and timelines.
\n Stay Updated on BI Trends: Maintain awareness of advancements in data analytics, visualization, and Power BI best practices to continuously improve the quality and impact of analyses.