Forbes is an iconic global media brand that has symbolized success for over a century. They are seeking a highly motivated Data Analyst to join their Business Intelligence team, where the candidate will take ownership of analytical projects, drive strategic insights, and deliver accurate work products.
Responsibilities:
- Independently own and drive specific components of larger projects, ensuring alignment with project timelines agreed upon with stakeholders
- Manage assigned work end-to-end, demonstrating a solid understanding of project goals and business needs and asking clarifying questions when needed
- Proactively manage stakeholder expectations, communicating key updates and anticipating potential delays
- Utilize SQL and data visualization tools to conduct data analysis and translate findings into clear, actionable business insights
- Apply rigorous and documented data validation techniques to ensure work is accurate and error-free before submission
- Clearly articulate the analysis approach and methodology, justifying decisions with relevant business context (the "why") rather than only focusing on technical implementation
- Articulate clear and concise takeaways in verbal and written communication
- Simplify complex technical concepts and data narratives for non-technical stakeholders, fostering organizational clarity and alignment
- Provide proactive partnership by identifying opportunities to contribute data expertise or analysis, even when not explicitly assigned
Requirements:
- 1-3 years of professional or internship experience in data analysis, business intelligence, or a related technical field
- Proficient in SQL (required for data extraction and manipulation)
- Proficient in data visualization tools (e.g., Tableau, Looker, Power BI)
- Strong foundational skills in data analysis and interpretation
- Bachelor's or master's degree from an accredited university
- Ability to clearly articulate and logically structure thought processes, analysis plans, and conclusions
- Demonstrated ability to manage assignments, meet agreed-upon deadlines, and deliver complete and accurate work consistently
- Capacity to quickly understand the core business problem and connect analytical findings directly to business strategy and value
- Ability to work effectively within a dynamic team environment and closely collaborate with technical and non-technical stakeholders across different departments