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    Data Analyst - Lawrence, United States - NavitsPartners

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    Job Description

    Job Description

    Job Title: Data Analyst

    Position Overview:
    We are seeking a detail-oriented and analytical Data Analyst to join our team. The Data Analyst will be responsible for collecting, analyzing, and interpreting data to provide insights and support decision-making across the organization. The successful candidate will possess strong analytical skills, proficiency in data analysis tools, and a commitment to delivering high-quality results.

    Responsibilities:

    • Collect, clean, and validate data from multiple sources to ensure accuracy and completeness.
    • Analyze data using statistical methods, data mining techniques, and visualization tools to identify trends, patterns, and insights.
    • Prepare reports, dashboards, and presentations to communicate findings and recommendations to stakeholders.
    • Collaborate with business stakeholders to understand requirements and define key performance indicators (KPIs) and metrics.
    • Develop and maintain data models, databases, and data dictionaries to support data analysis and reporting activities.
    • Conduct ad-hoc analysis and data mining to answer business questions and solve problems.
    • Monitor data quality and integrity, and implement data quality controls and best practices.
    • Stay current with data analytics technologies and best practices to continuously improve data analysis capabilities.
    • Provide training and support to end users on data analysis tools and techniques.
    • Participate in cross-functional projects and initiatives to support organizational goals.

    Requirements:

    • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
    • years of experience in data analysis or related role.
    • Proficiency in data analysis tools and programming languages such as SQL, Python, R, or Excel.
    • Strong analytical and problem-solving skills.
    • Experience with data visualization tools such as Tableau, Power BI, or QlikView.
    • Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
    • Ability to work independently and manage multiple priorities in a fast-paced environment.
    • Attention to detail and commitment to data accuracy and integrity.

    Preferred Qualifications:

    • Master's degree in Data Science, Business Analytics, or related field.
    • Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
    • Experience with machine learning techniques and algorithms.
    • Certification in data analytics or related area (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate).
    • Knowledge of industry-specific data analysis techniques and methodologies.


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