Reporting & Data Analyst 31O25

The Reporting & Data Analyst is a critical component of any organization's data-driven decision-making process. This role is primarily responsible for converting raw data into actionable insights and visually engaging reports that help drive business strategies and optimize performance. The analyst meticulously gathers, processes, and analyzes complex data sets, producing clear and comprehensive reports that inform stakeholders of trends, patterns, and potential outcomes. This position requires a keen eye for detail, a deep understanding of database systems, and proficiency in using data analysis tools to draw meaningful conclusions. Strong communication skills are paramount as the analyst must effectively convey data-driven findings to non-technical stakeholders, enabling informed strategic decisions.

Responsibilities

• Collect, analyze, and interpret large datasets to derive actionable insights.
• Develop and maintain automated dashboards and reporting tools for stakeholders.
• Collaborate with cross-functional teams to identify essential metrics and KPIs.
• Present data findings to management team, highlighting areas of concern or opportunity.
• Ensure data accuracy and integrity through rigorous cleaning and validation processes.
• Create detailed reports that support business strategy and performance optimizations.
• Use statistical analysis techniques to detect trends and forecast future performance.
• Support data-driven decision-making by providing insights into customer behaviors.
• Benchmark company data against industry standards to assess competitive positioning.
• Ensure compliance with data governance and privacy policies in all analyses.
• Conduct ad-hoc analyses to address emerging business questions and needs.
• Train and mentor junior analysts in reporting standards and best practices.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar role in data-intensive environments.
• Excellent proficiency in SQL, Excel, and data visualization tools (e.g., Tableau).
• Strong analytical skills with the ability to collect, organize, and analyze data.
• Excellent communication skills for translating complex data into understandable insights.
• In-depth understanding of data warehousing and database management concepts.
• Ability to work collaboratively in a team-oriented environment and manage multiple projects.