Analytics Analyst - Quality

DESCRIPTION

The Analytics Analyst - Quality serves as the operational arm of data analytics, supporting data governance decisions, maintaining data quality documentation, and training end users on analytics solutions. The role involves facilitating data governance processes, integrating data sources, cleansing data, supporting analytics projects, and enforcing data collection standards. The analyst also assists stakeholders in accessing relevant data and participates in communities of practice to promote responsible analytics use.

Key Responsibilities:

Data Analytics & Visualization

• Design and develop interactive dashboards and reports using Power BI to provide actionable insights.
• Create and optimize data models to ensure efficient data visualization and performance.
• Apply statistical techniques to analyze business data and identify key trends and patterns.

• Assist in building and maintaining ETL pipelines to extract, transform, and load data from multiple sources.
• Develop and manage relational data models to support analytics and reporting requirements.
• Write and optimize SQL queries for data processing and validation.

• Implement Python scripts for data processing, automation, and basic analytics tasks.
• Utilize Python to clean, transform, and analyze data for enhanced decision-making.

• Develop and automate business processes using Power Apps to enhance operational efficiency.
• Integrate Power Apps with Power BI, SharePoint, and other enterprise systems to streamline workflows.
• Assist in maintaining and optimizing existing Power Apps, PowerBI solutions.

• Work closely with senior analysts and business teams to gather requirements and translate them into technical solutions.
• Support cross-functional teams by providing data-driven insights and reports.
• Document processes, models, and technical solutions for knowledge sharing and maintenance.

• Strong knowledge of Power BI with experience in building interactive dashboards and reports.
• Understanding of data modeling concepts and experience in designing relational models.
• Basic knowledge of statistics and the ability to apply statistical techniques to business data.
• Proficiency in SQL for querying, data extraction, and transformation.
• Hands-on experience with Python for data processing and automation.
• Familiarity with Power Apps for application development and workflow automation is a plus.

• Strong analytical and problem-solving skills.
• Good communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies and challenges.
• Ability to work effectively in a team environment.

• Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
• Communicates effectively - Developing and delivering multi-mode communications tailored to different audiences.
• Customer focus - Building strong customer relationships and delivering customer-centric solutions.
• Interpersonal savvy - Relating openly and comfortably with diverse groups of people.
• Data Analytics - Interpreting and communicating qualitative and quantitative data for business insights.
• Data Mining - Identifying patterns and relationships in data to support model building.
• Data Modeling - Writing and testing data models, scripts, and automation to meet business requirements.
• Data Communication and Visualization - Illustrating business problems, root causes, and solutions through reports and dashboards.
• Data Literacy - Understanding data sources, analytical methods, and applied techniques.
• Data Profiling - Assessing data issues and cleansing requirements for quality improvement.
• Data Quality - Ensuring accuracy, integrity, and governance across business processes and decision-making.
• Values differences - Recognizing and leveraging diverse perspectives and cultures within the organization.

• College, university, or equivalent degree in a relevant technical discipline.
• This position may require licensing for compliance with export controls or sanctions regulations.

• Minimal relevant work experience required.
• 1-4 years of experience preferred.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 1-4 years of work experience.
• Experience with large datasets and understanding of data structures.
• Exposure to manufacturing analytics or related industries is an advantage.