
Data Analyst, Operations
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Overview
Job Description
We are looking for an Operations Data Analyst to join our growing core technology team. The Operations Data Analyst is a crucial role within the organization, responsible for collecting, analyzing, and interpreting data to support and optimize various operational processes. This role is essential for making informed decisions, improving efficiency, and ensuring the smooth functioning of the company's day-to-day activities. The successful candidate will turn data into information, information into insight, and insight into business decisions.
Primary Responsibilities/Essential Functions
This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.
Primary Responsibilities
Conduct detailed data analysis on data used across business units to evaluate business processes, improve existing features, and create new ones
Perform various data analytics using SQL, MS Excel, and statistical models to examine data, identify trends, patterns, anomalies, and extract actionable insights
Gather and compile data from various sources, including databases, spreadsheets, and operational systems, ensuring data accuracy and completeness
Provide relational database expertise to construct and execute SQL queries for data analysis
Develop and generate regular and ad-hoc reports and dashboards to communicate data-driven insights to stakeholders
Collaborate with operational teams to identify areas for process improvement through data-driven recommendations
Design, develop, and provide expertise in tools, techniques, metrics, and dashboards for insights and data visualization to address business needs
Create data visualizations, such as charts and graphs, to effectively communicate findings and support decision-making
Develop and execute tools for monitoring and reporting on data quality
Promote and enforce data quality management principles, including metadata, lineage, and business definitions
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