407649 Quality Data Analyst

Key Responsibilities

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.

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.

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.

Support Data-Driven Decisions : Leverage analytical skills to identify and interpret patterns in data, helping to inform quality improvement and risk mitigation strategies.

Enhance Data Quality : Ensure data accuracy, integrity, and quality through effective data validation and regular audits, supporting reliable reporting and analysis.

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.

Process Improvement : Identify areas for process optimization, recommending and implementing improvements to streamline data workflows and reporting capabilities.

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.

Assist with Project Management : Contribute to project planning and delivery, ensuring data-related milestones align with project goals and timelines.

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.