Data Analyst

Key Responsibilities

• Collaborates with business partners to deliver sustainable solutions for analytics and process improvements.
• Understands business processes and related data sources, and models data for reuse across analyst groups.
• Supports analytics data solutions; works with system support teams to correct and/or enhance data.
• Acquires, cleans, and preprocesses raw data from various sources to ensure accuracy and reliability; maintains knowledge of key systems and queries those systems for data.
• Conducts in-depth analysis of large datasets to extract meaningful insights and trends.
• Develops and implements analytical models to forecast future trends and outcomes.
• Performs statistical analysis to identify patterns and correlations in the data.
• Creates visually compelling and easy-to-understand dashboards and reports.
• Communicates findings to stakeholders through charts, graphs, and presentations.
• Ensures integrity and quality of data through regular audits and validation processes.
• Works closely with cross-functional teams to understand data requirements and deliver insights.
• Drives continuous improvement in business processes and data analytics best practices.
• Establishes and supports data governance to ensure data is fit for optimum use by the organization.
• Partners and leads initiatives to build sustainable data pipelines, automations, and advanced analytics solutions.

Requirements & Tech Stack

• Bachelor’s Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics, or related.
• Exposure to business intelligence self-service analytics software tools such as Power BI or Tableau.
• Exposure to data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks, or others.
• Experience with manipulating and analyzing complex, high-volume, high-dimensional data from varying sources.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

Qualifications

• Strong communication and time management skills.
• Strong passion for answering difficult questions with data.
• Experience solving analytical problems using quantitative approaches to generate positive business results.
• Experience with data analysis efforts: identifying data sources, querying data, performing exploratory data analysis/modeling, presenting historical insights/business justification, and affecting data-driven business changes.
• Proven ability to think critically and solve problems, given incomplete information and/or ambiguous requirements.
• A flexible analytic approach that provides results at varying levels of precision.

Skills

• Business Partnerships
• Communication
• Critical Thinking
• Data Analysis
• Data Operations
• Data Reporting
• Adaptability
• Digital Transformation
• Influencing Others
• Metrics Management
• Work Management

Travel: Up to 10%

Location: Findlay, Ohio