Data Analyst
1 week ago
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.
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