
Executive Business Analyst
21 hours ago
Unlock Business Potential with Data-Driven Insights
Sigmoid empowers organizations to drive transformation using real-time data and analytics. Our experts leverage modern data architectures, cloud, and open-source technologies to inform accurate and swift business decisions.
Key Responsibilities- Develop and execute the business-analytics roadmap by demonstrating techno-functional consulting and stakeholder management capabilities in collaboration with data science and engineering SMEs and teams.
- Lead client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI.
- Define business problems concisely, consolidate findings, and hypothesize proposed solutions. Measure and articulate how solutions and results improve clients' objectives.
- Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment.
- Perform a role that involves a combination of hands-on contribution, customer engagement, and team management.
- Contribute to organization building through training, mentoring, and developing repeatable analytic approaches.
- Business consulting experience; experience around FP&A, Zero Base Budgeting, and other related finance themes.
- Proven exceptional problem-solving analytical skills with the ability to blend creativity and logical thought to innovate through complex problems and develop solutions.
- Ability to develop and articulate strategic recommendations based on rigorous data analysis.
- Should have developed new consulting business capabilities within target industry verticals.
- Experience in strategy and business/technology consulting roles conversant with process improvement, cost optimization, customer analytics, and experience management, architecture assessments, etc.
- Demonstrated sustained client relations management experience at a C-suite/leadership or senior management level in the industry role.
- Understanding of statistical and machine learning algorithms applications.
- Any hands-on experience with analytical tools.
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