Data Analyst Professional

Mindlance

  • McLean, VA
  • 2 days ago

    Highlights

    Workflow Automation: Design and implement automated workflows to streamline data collection, processing, reporting, and distribution using tools such as Power Automate, Python, or other automation platforms. Data analysis, dashboarding, data visualization, data reconciliation, workflow automation, process optimization, automated reporting; good presentation skills written and Verbal communication.

    Numbers & Facts

    LocationMcLean, VA

    Description

    Title: Data Analyst Professional
    Duration: 12 months TTH
    Location: Full-time, on-site in McLean, VA

    Key Responsibilities
    Data analysis, dashboarding, data visualization, data reconciliation, workflow automation, process optimization, automated reporting; good presentation skills written and Verbal communication
    Data Quality Validation, reconciliation, accuracy, discrepancy analysis
    Automation Workflow automation, Power Automate, automated reporting

    Nice to Have
    Jira, RPA, Power Platform, Required past work showcasing dashboards & visualizations

    Updated Responsibilities:
    Workflow Automation: Design and implement automated workflows to streamline data collection, processing, reporting, and distribution using tools such as Power Automate, Python, or other automation platforms.
    Process Optimization: Map existing manual processes, identify bottlenecks, and build end to-end automated solutions to reduce turnaround time and human error.
    Automated Reporting: Set up scheduled, self-refreshing dashboards and automated report delivery to key stakeholders.

    Updated Required Skills:
    Hands-on experience with workflow automation tools (e.g., Power Automate, Power Apps,)

    Updated Nice to Have:
    Experience with RPA (Robotic Process Automation) tools Knowledge of Power Platform (Power Automate, Power Apps) for end-to-end workflow automation


    EEO
    Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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