Job Description:
The position involves analyzing business processes, identifying areas for improvement, and delivering data-driven solutions to enhance efficiency and decision-making. Key responsibilities include gathering and documenting requirements, creating detailed reports, and ensuring alignment between stakeholders and business goals. Regular collaboration with teams helps translate insights into actionable strategies and optimize operations. Focus is placed on leveraging analytical tools and methodologies to support organizational objectives. The role requires a combination of strategic thinking, problem-solving skills, and attention to detail. Opportunities exist to contribute to high-impact projects within a dynamic, fast-paced environment.
Responsibilities:
- Analyze business processes and workflows to identify gaps and improvement opportunities.
- Gather, document, and prioritize requirements from stakeholders.
- Develop and maintain detailed business and functional requirements documentation.
- Create dashboards, reports, and visualizations to support data-driven decision-making.
- Collaborate with cross-functional teams to align project outcomes with organizational goals.
- Solve and model optimization problems to improve efficiency and resource allocation.
- Support the development and implementation of new business strategies or tools.
- Monitor the effectiveness of solutions and recommend adjustments when needed.
Preferred Qualifications:
Educational Background:
- Bachelor’s or Master’s degree in Business Analytics, Data Science, or related fields.
Experience:
- 3+ years of experience in business analysis, process improvement, or similar roles.
- Proven track record of working with stakeholders to deliver successful projects.
Technical Skills:
- Proficiency in Python and R for data analysis and modeling.
- Experience with optimization modeling tools (e.g., Gurobi, CPLEX, or MATLAB).
- Familiarity with project management methodologies and tools (e.g., Agile, Jira, Trello).
- Strong understanding of statistics, data visualization, and reporting techniques.
Soft Skills:
- Excellent communication and presentation skills.
- Strong analytical, critical-thinking, and problem-solving abilities.
- Ability to manage multiple projects and meet tight deadlines.
