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ImpetusIT

Business data Analyst

ImpetusIT, Washington, District of Columbia, us, 20022

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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

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