Data Analyst - HRIS

Job Purpose:

Performs routine and ad-hoc data analysis to identify actionable business insights and performance gaps to enable data -driven strategic decisions across the organization. Performs research across a variety of data sources to determine current performance and identify trends and improvement opportunities.

Primary Functions:

• Participate in the creation, validation, and implementation of statistical models and analyze performance of models to ensure accuracy, statistical confidence and validity, and alignment to business goals and needs;
• Translate quantitative and qualitative data into actionable insights and present findings to management and other stakeholders to enable data-driven strategic decisions across the organization;
• Assist in identifying trends and actionable insights from data analysis and research, draw actionable conclusions, and summarize results; Participate in the recommendation, implementation, and auditing of best practices related to data usage, reporting standards, dashboard formats, visualization style, and analysis methods;
• Assist in communicating the significance of statistical findings using business acumen and terminology common to the utilities industry;
• Participate in discussions with stakeholders regarding data, analyses, visualizations, conclusions and recommendations in a manner that influences decisions and outcomes;
• Perform routine data analysis, research, and studies relative to business discovery use cases;
• Collaborate with cross-functional teams and external consultants in decisions related to data modeling, dimensionality, data granularity, fit-for-use architecture, and overall data governance;
• Perform routine data mining for new business insights; interpret data; draw conclusions; communicate findings to relevant stakeholders;
• Develop strong understanding of OUC data sources, relationships, and best practice usage;
• Perform troubleshooting and debugging;
• Prepare, update, and present routine visualizations, dashboards, and reporting;
• Identify and escalate data anomalies that might affect accuracy;
• Generate routine scheduled and ad hoc reports, dashboards, and analysis;
• Provide project support;
• Maintain related reporting and analysis documentation and records;
• Assist in deep data profiling efforts to gain an understanding of the raw data available for analysis. Participate in data mining efforts as part of a data science or machine learning exercise to identify themes and trends for further analysis;
• Assist in identifying trends,
• Assist in transforming information into actionable insights;
• Perform routine research and analysis to identify data trends, anomalies, and actionable insights that are applicable to OUC;
• Perform other duties as assigned.