Top Skills :
SQL, Python, R, and Machine Learning
Ideal Candidate :
- Needing a data specialist to validate data in SQL and also has experience with Machine Learning (AI).
- 1-2 years of experience in ML or AI
Essential Duties and Responsibilities
- Utilizes advanced data analytics techniques to extract insights from complex datasets.
- Develops and implements machine learning models and algorithms to solve business problems.
- Creates and maintains data dictionary, data standards, Standard Operation Procedures (SOP), and database schema diagrams.
- Collaborates with cross-functional teams to understand business requirements and translates them into data-driven solutions.
- Designs and maintains data pipelines and workflows for efficient data extraction, transformation, and loading.
- Creates and maintains data visualizations and reports using PowerBI, SSRS, and Tableau.
- Provides technical documentation and communicates findings to stakeholders in a clear and concise manner.
- Stay up-to-date with the latest trends and technologies in data science, machine learning, and data warehousing.
- Maintains regular and consistent in-person attendance.
- Performs other related duties, as assigned.
Minimum Qualifications (Education, Experience, Skills)
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in SQL Server, PowerBI, SSRS, Tableau, and other data visualization tools.
- Experience with technical writing and documentation.
- Proficiency in SSMS, Azure, Azure Data Studio, and Fabric.
- Knowledge of Python, R, SQL, and DAX.
- Familiarity with the Power Platform and data warehousing concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Ability to pass a background check and drug screen, where applicable for the position.
- Ability to speak and read English proficiently.
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