Data Analyst

Description

This is an on-site role located in Green, Ohio.

General Responsibility: The Data Analyst is responsible for providing data-driven insights and analytical support in solving strategic and operational problems by working with large data sets and translating results into actionable recommendations that will influence business decisions. This role will understand key aspects of the business and develop operational metrics to evaluate performance. The job will also help define the strategy of analytics for the business and product teams and help them formulate conclusions, even in situations with limited data. This position will maintain strong working relationships with internal and external customers to understand and anticipate needs and opportunities.

Data Analyst Job Duties:

• •Defines data requirements to ensure information is accurate and interpretable
• •Conducts analysis using statistical and visualization techniques with large, complex data sets to translate results into actionable deliverables
• •Identifies and assists in developing key business and operational metrics that support positive business outcomes
• •Builds dashboards and/or reports, based on identified metrics, to support business decisions for both corporate and operational needs
• •Conducts statistical and/or machine learning analysis and scenario analysis to evaluate outcomes of operational experiments
• •Leverages AI tools and builds AI agents to automate recurring analysis, streamline workflows, and surface insights more efficiently
• •Provides ad-hoc/special project data analysis for business leaders, enabling them to achieve corporate goals and improve decision-making
• •Collaborate with departments such as Marketing, Finance and Operations to identify opportunities for data-driven improvements.
• •Performs other related duties as assigned.

Requirements

Knowledge, Skills and Abilities:

• •Bachelor’s degree in quantitative field such as Data Analysis, Statistics, Mathematics or related disciplines.
• •Minimum 1-3 years of experience in a quantitative analytical field including experience in predictive modeling/forecasting, data analysis or operational analysis.
• •Working knowledge of ETL (Extract-Transform-Load) concepts for acquiring, cleansing, and combining diverse and disparate data sets preferred
• •Working knowledge of building reports and dashboards using data visualization tools (Power BI, Tableau, Spotfire) required
• •Working knowledge of SQL to query large and complex data sets, test query results, and improve query performance required
• •Experience in querying and analyzing and working with data languages and platforms to investigate large and diverse data sets.
• •Working Knowledge of advanced analytics techniques (statistical testing, machine learning modeling) preferred
• •Working knowledge of a data analytics programming language such as R, Python or Julia preferred
• •Possess analytical strength and curiosity to understand and explain questions and observations in data.
• •Ability to effectively communicate complex ideas regarding data analysis in an understandable, clear, and concise manner to key stakeholders.

Core Competencies

• •Values. Demonstrates in word and action Surgere’s core values of caring, trust, sense of urgency, responsibility, passion and persistent discovery, in all matters at all times.
• •Relationships. Builds authentic relationships in the service of enhancing individual and team performance to support Surgere’s work.
• •Communication. Listens and expresses self effectively and in a manner that reflects a true understanding of the needs of the audience.
• •Quality Results. Demonstrates and fosters a strong commitment to achieving goals in a manner that provides quality experiences.
• •Change Capacity. Leads self and others through change by navigating ambiguity appropriately and adapting well to new situations, obstacles, and opportunities.
• •Emotional Maturity. Demonstrates effective interpersonal skills.
• •Self-Development. Is dedicated to the improvement of own capabilities and demonstrates this through the continual expansion of knowledge and skills.