The Opportunity

We are seeking a versatile Data Analyst/Developer to join our client's team. This role is ideal for a professional with expertise in data modeling, analysis, and reporting, coupled with advanced SQL skills and proficiency in tools such as Infor Birst, Power BI, or Tableau. You'll play a critical role in transforming data into actionable insights that drive business decisions.

What You’ll Be Doing

• Designing, developing, and maintaining conceptual, logical, and physical data models.
• Translating business requirements into scalable and optimized data structures.
• Collaborating with data engineers and analysts to ensure data consistency and integrity.
• Conducting reviews of data models and enforcing best practices and standards.
• Ensuring data stability, security, and performance across all models.
• Documenting and communicating data models and specifications to stakeholders.
• Identifying trends, patterns, and anomalies through advanced data analysis.
• Using statistical techniques and data mining tools to extract insights.
• Developing data-driven solutions to address business challenges.
• Working with stakeholders to align insights with business objectives.
• Creating and maintaining complex dashboards and reports using Infor Birst, Power BI, or Tableau.
• Writing advanced SQL queries to extract and transform data from various sources.
• Designing visualizations that effectively communicate key insights.
• Optimizing report performance and troubleshooting issues.

What You’ll Need To Be Successful

• SQL Expertise : Advanced skills, including window functions, common table expressions, subqueries, and stored procedures.
• Education : Computer Science Degree
• Business Intelligence Tools : Proficiency in at least one tool such as Infor Birst, Power BI, or Tableau.
• Data Modeling : Strong foundation in data modeling techniques and CRM-database relationships.
• Data Analysis : Proven ability to derive actionable insights through analytics and data mining.
• Industry Knowledge : Experience in the manufacturing industry preferred.
• Communication : Strong interpersonal and collaboration skills to work with diverse teams.
• Technical Knowledge : Familiarity with data warehousing concepts and ETL processes.
• Attention to Detail : High accuracy in data analysis, modeling, and reporting.