A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved efficiency and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive business outcomes.
ROLES & RESPONSIBILITIES
Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making. Complete recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution. Develop, maintain, and enhance performance reporting used by internal stakeholders to monitor key business metrics and trends. Analyze large datasets to identify patterns, trends, anomalies, and opportunities for operational improvement. Support analytical projects by gathering requirements, preparing data, conducting analysis, and communicating findings. Define, document, and improve business processes that enhance the value and usability of internal and external data. Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, and business outcomes. Validate process changes and business initiatives to measure effectiveness and quantify operational impact. Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports and datasets. Create and maintain process documentation, data definitions, validation procedures, and reporting methodologies.
REQUIREMENTS
Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered. Proficiency in Excel; experience with SAS, SQL, or relational databases is highly desired. Strong analytical, problem-solving, and critical-thinking skills. Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment. Self-motivated and able to work independently while also contributing effectively within a team environment.
