IT Data Analyst

R.E. Darling Co.•Tucson, AZ

1d•Hybrid

About The Position

The IT Data Analyst gathers, merges, and analyzes data from multiple sources and provides visualizations of key performance indicators (KPIs) for dashboards, scorecards, presentations, and reports. The role uses data management best practices to develop data models, reporting systems, data automation systems, dashboards, and performance metrics. It also works with stakeholders to define KPIs, create and maintain corporate and departmental scorecards, and translate data and stakeholder requirements into clear, useful insights. This position works under minimal supervision and has no supervisory responsibilities. It is an exempt, salaried role with a full-time schedule; hours may vary according to operational needs and may include occasional extended hours, weekend work, or adjusted schedules. The role requires on-site presence at the Tucson, Arizona office two days per week and is eligible for a hybrid remote schedule. No travel is required.

Requirements

Bachelor's degree in financial management, business administration, statistics, computer science, or a related area of study, or an equivalent combination of education and experience.
Knowledge of data-mining principles, predictive analytics, and mapping data from multiple systems.
Strong SQL skills, including effective querying across multiple systems and tables and use of subqueries.
Proficiency in business intelligence tools such as Microsoft Power BI.
Skills in data modeling, analysis, and validation.
Ability to develop dashboards, scorecards, and reports.
Ability to automate data processes and build workflows.
Strong data visualization and presentation skills.
Ability to define KPIs collaboratively with stakeholders.
Ability to translate data into clear insights and stakeholder requirements into meaningful representations of results.
Strong attention to detail.
Reliable attendance, flexibility, and ability to meet deadlines.

Responsibilities

Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics using data management best practices.
Perform complex analysis of datasets and validate data.
Work with stakeholders to establish KPIs that measure the effectiveness of business decisions.
Create corporate and departmental dashboards and reports.
Structure datasets to identify usable information.
Develop presentations and reports based on findings.
Develop and maintain corporate and departmental scorecard structures.
Work with stakeholders to create and maintain scorecards and KPIs reflecting fiscal-year metrics and data.
Automate data capture within corporate and departmental scorecards.
Create graphs and other visualizations for company meetings and presentations.
Assist stakeholders with information presented in management and customer meetings.
Gather data and provide graphs and visual aids for meetings and company reports.