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Data Analyst

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  • Descripción

    Frecuencia:
    Recurrente
    Buscando personas voluntarias:
    1
    Área de impacto:
    Desarrollo de comunidades, Salud y medicina, Voluntariado

    Descripción

    Job Title: Data Analyst

    Reports to: Head of Business Development

    Location: remote

    About the Organization:

    Menzies Philanthropic Foundation is a non-profit organization deeply committed to global orphanage support, guided by the Menzies 5 Keys of Needs. Our overarching mission is to lead the way in creating eco-regenerative conscious communities, serving as secure sanctuaries for orphans and vulnerable families. With a focus on addressing trauma and promoting holistic healing, we strive to foster environments where individuals can thrive and flourish.

    As part of the Menzies Mission Non-profit Organization, My Source Network stands as an innovative digital platform dedicated to holistic healing. By connecting individuals with a diverse network of practitioners and resources, we facilitate access to various healing modalities and transformative events. Our platform empowers users to embark on personalized wellness journeys, fostering growth and well-being in every individual we serve.

    Join our team and help us create exceptional digital experiences for our users!

    Job Overview:

    We are seeking a skilled and detail-oriented Data Analyst to join our team. The Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate will have strong analytical skills, proficiency in data analysis tools and techniques, and the ability to communicate findings effectively to both technical and non-technical stakeholders.

    Key Responsibilities:

    Data Collection and Management

    • Collect and compile data from various sources, ensuring data integrity and accuracy.
    • Maintain and update databases, ensuring data is stored securely and accessible for analysis

    Data Analysis

    • Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
    • Perform data cleaning and preprocessing to ensure the quality and consistency of data.

    Statistical analysis

    • Conduct statistical analyses using tools such as R, Python, SQL, or SAS to uncover actionable insights.
    • Apply advanced statistical techniques to solve complex business problems and optimize performance.

    Data Visualization

    • Create compelling data visualizations and dashboards using tools like Tableau, Power BI, or Excel to communicate findings.
    • Present data insights in a clear and concise manner to stakeholders at various levels of the organization.

    Reporting and Communication

    • Generate regular and ad-hoc reports to provide insights and recommendations to business units.
    • Communicate complex data findings in an understandable and actionable way to non-technical stakeholders.

    Business Intelligence

    • Collaborate with business units to understand their data needs and provide analytical support.
    • Identify opportunities for business process improvements based on data insights.

    Predictive Modeling

    • Develop and implement predictive models to forecast trends and support strategic planning.
    • Validate and refine models to ensure their accuracy and reliability.

    Data Governance and Compliance

    • Ensure data handling practices comply with data protection regulations and internal policies.
    • Participate in data governance initiatives to improve data quality and consistency across the organization.

    Continuous Improvement

    • Stay current with the latest data analysis techniques and industry trends.
    • Continuously seek ways to improve data processes, tools, and methodologies.

    Skills and Qualifications:

    • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
    • Proven experience (2-5 years) as a Data Analyst or in a similar analytical role.
    • Experience working with large datasets and relational databases.
    • Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS.
    • Strong skills in data visualization tools like Tableau, Power BI, or Excel.
    • Excellent problem-solving skills with the ability to apply statistical techniques to analyze data.
    • Strong attention to detail and accuracy in data processing and analysis.
    • Ability to communicate complex data insights clearly and effectively to a variety of audiences.
    • Strong written and verbal communication skills.
    • Understanding of business processes and the ability to translate business requirements into data analysis solutions.
    • Ability to work collaboratively with cross-functional teams and stakeholders.
    • Strong organizational skills and the ability to manage multiple projects simultaneously.
    • Commitment to continuous learning and professional development in the field of data analytics.

    Application Process

    To apply, review the job description and submit your resume, and cover letter to hr@menziesmission.org. Ensure accurate contact information for application status updates. If selected, be prepared to discuss qualifications and alignment with the organization's mission.

    For questions, contact hr@menziesmission.org. We look forward to reviewing your application.

    Equal Opportunity Employer:

    Menzies Philanthropic Foundation is committed to diversity, inclusion, and equal opportunity. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other characteristic protected by law. Accommodation for the application process is available upon request.

    Ubicación

    A distancia
    La persona voluntaria puede estar en cualquier lugar del mundo
    Ubicación asociada
    Little Elm, TX, USA

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