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Job ID : 36385

Location : Manchester, MI

Company Name : MSIT

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $106900 - $107900  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Critical thinking, Data cleansing, Microsoft Excel..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsiblties:

  • Data Collection and Integration: Gather data from various sources within the organization and external sources, ensuring data integrity and accuracy.
  • Data Cleansing and Preprocessing: Cleanse, preprocess, and transform raw data to prepare it for analysis, including handling missing values, outliers, and inconsistencies.
  • Database Management: Maintain and optimize databases, ensuring efficient data storage, retrieval, and organization.
  • Data Analysis and Interpretation: Analyze data using statistical techniques and data mining algorithms to identify trends, patterns, and insights relevant to business objectives.
  • Dashboard Development: Design and develop interactive dashboards and reports to visualize key performance indicators (KPIs) and metrics for stakeholders.
  • Data Modeling and Forecasting: Build predictive models and forecasting algorithms to anticipate future trends and outcomes based on historical data.
  • Performance Monitoring: Monitor data systems and processes to identify performance issues, bottlenecks, and opportunities for optimization.
  • Data Governance and Compliance: Ensure compliance with data governance policies, regulations, and best practices to protect data privacy and security.
  • Stakeholder Communication: Communicate findings, recommendations, and insights to stakeholders through presentations, reports, and data storytelling.
  • Continuous Improvement: Stay updated on emerging technologies, tools, and techniques in data analysis and contribute to the continuous improvement of data processes and systems.

Key Skills:

  • Data visualization.
  • Machine learning.
  • Communication.
  • Problem solving.
  • Statistical analysis.
  • Critical thinking.
  • Data cleansing.
  • Microsoft Excel.

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