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Remote -Data Analyst (Part-time)
Title: Data Analyst (Part-time)
Location: Remote - Charlotte, NC 28216
Duration: 12+ Months Contract
Schedule: 16-24 hours per week
Pay Rate: $40/hr on W2
Job Description:
This role will be responsible for leading detailed research and analysis on assigned competitive intelligence topics in support of business strategy and planning activities. Analytics will also be applied internally to evaluate select business opportunities. Time will flex between ongoing analyst activities and project-based assignments.
Key Skills and Competencies
- Advanced Analytics: Use data-driven approaches, statistical modeling, and machine learning tools to extract insights and inform decision-making.
- Automation Expertise: Identify and implement process automation solutions to improve efficiency and scalability.
- Business Acumen: Understand market dynamics, competitive positioning, and customer needs.
- Strategic Thinking: Identify strategic issues, analyze research and data, consider implications, and make actionable recommendations.
- Innovation Management: Collaborate on automation-driven innovation processes for product enhancements or process improvements.
- Communication: Present updates, recommendations, and findings to senior leadership with clarity and precision.
Structure:
- Strategy & Planning: Developing strategies to address business challenges and long-term opportunities using analytics-driven insights.
- Business Development: Exploring market opportunities and competitive analysis with automation tools to streamline workflows.
- Manufacturing & Engineering: Understanding operations and using automation to improve efficiency and scalability.
- Innovation Management: Collaborating with cross-functional teams to develop data-driven product improvements and automate processes.
- By the end of the program, interns will have gained valuable insights into these areas and honed their ability to work independently, leverage automation, and deliver measurable results.
Job Responsibilities in Detail
Strategic Development:
- Define Strategic Issues: Analyze and articulate core problems or opportunities using advanced analytics.
- Research and Analysis: Implement data collection pipelines and apply statistical and machine learning models for actionable insights.
- Strategic Implications: Assess short-term and long-term effects of strategic options using predictive analytics and scenario modeling.
- Actionable Recommendations: Present findings with automation-enhanced dashboards and clear action plans.
- Execution: Implement strategies and monitor outcomes using automated tracking systems.
Data Analytics and Automation:
- Advanced Analytics: Use tools such as Python, R, SQL, or Power BI to analyze large datasets, model trends, and generate insights.
- Automation: Identify repetitive tasks and implement process automation using tools like UiPath, Microsoft Power Automate, or custom scripts.
- Quality Assurance: Ensure the accuracy and consistency of data-driven decisions by automating validation processes.
- Cross-Functional Collaboration: Support decision-making with real-time, automated reporting shared across teams.
Innovation Team Engagement:
- Collaborate with multi-functional innovation teams to:
- Develop value propositions for products and services using analytics and automation.
- Forecast market opportunities with predictive modeling and automated data pipelines.
- Conduct competitive assessments using automation tools to collect and analyze competitor data.
Qualities of a Successful Intern:
- Analytical Expertise: Strong ability to use data to identify patterns, solve problems, and inform strategies.
- Automation Skills: Proficiency in identifying opportunities for process automation and implementing solutions.
- Independence: Ability to manage work autonomously within a complex, global organization.
- Organizational Skills: Effectively prioritize tasks and manage time to meet deliverables.
- Judgment and Decision-Making: Use advanced analytics and automation tools combined with intuition to assess data and make sound recommendations.
- Communication Skills: Clearly present updates, recommendations, and insights using automated dashboards and reports.
- Collaboration: Work effectively with cross-functional teams, including business, operations, and technology leaders.
