Job Overviews Location: Salt Lake City, UTAH Job Title: Data Analyst Experience: 11 Years Employement: Full Time Job Code: 228491 Job Details Data Integration Engineer will be responsible for utilizing advanced analytics and statistical modeling techniques to extract valuable insights from complex data sets. S/he will play a pivotal role in developing innovative solutions, optimizing business operations, and driving data-driven decision-making processes. S/he will possess a strong background in data analysis, machine learning, and statistical modeling, and exceptional problem-solving and communication skills. Job Responsibilities Design and implement data integration solutions to enable seamless flow of data between various systems, databases, and applications. Clean, preprocess, and transform data to ensure its quality, integrity, and suitability for analysis. Conduct exploratory data analysis to identify patterns, trends, and anomalies that can provide actionable insights. Develop and maintain data pipelines, ensuring accurate and timely data processing and transformation. Collaborate with stakeholders to understand data requirements and business needs, and provide efficient solutions for data integration challenges. Job Requirements Perform data quality analysis and implement data governance practices to ensure data accuracy, consistency, and compliance. Stay updated with emerging technologies and best practices in data integration, leveraging tools such as ETL (Extract, Transform, Load) processes and data integration platforms. Experience with data visualization tools (e.g., Tableau, Power BI) and proficiency in SQL and working with databases. Excellent analytical and problem-solving abilities, with the capability to interpret complex data sets and derive actionable insights. Outstanding communication skills, with the ability to effectively present complex ideas and findings to both technical and non-technical stakeholders. Skill & Experience Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or Information Systems, or Progressive experience in Computer Science with experience in the development of applications. Proficiency in programming languages such as Python, R, or Scala, along with familiarity with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch). Strong knowledge of statistical analysis, machine learning techniques, and data modeling.