ImpetusIT is hiring: Business data Analyst in Washington

Get AI-powered advice on this job and more exclusive features. One of our staffing partners is looking for a Business data analyst with data analyst skills for their Ecommerce client. Salary $55k-$70k USA based applicants only You will assist in analyzing data, building predictive models, and extracting insights to support decision-making. Responsibilities Collect, clean, and preprocess data for analysis Develop machine learning models and statistical analyses Visualize data and present insights to stakeholders Analyze business requirements and translate them into data-driven solutions. Design and implement BI dashboards and reports to track performance metrics. Utilize data science techniques to identify trends, correlations, and predictive insights. Work with cloud-based data platforms (AWS, Azure, GCP) for data processing and analysis. Collaborate with stakeholders to provide insights that enhance business strategies. Perform data modeling, cleansing, and transformation to improve data quality. Optimize data pipelines and workflows for efficiency in a cloud environment. Strong experience in business intelligence tools (Power BI, Tableau, Looker, or Qlik). Proficiency in SQL, Python, R, or other data analysis languages. Understanding of data visualization, storytelling, and dashboard development. Ability to work in a cross-functional team with business and technical stakeholders. Knowledge of machine learning concepts and how they apply to business analysis. Strong problem-solving and communication skills for presenting findings effectively. Qualifications Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Basic understanding of machine learning and statistical analysis Proficiency in Python, R, or SQL Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong problem-solving skills and analytical mindset Excellent communication and teamwork abilities Experience working with large datasets and databases Exposure to cloud platforms such as AWS, Azure, or Google Cloud Direct applicants only #J-18808-Ljbffr