Process Manager

Process Manager Role and responsibilities:

• Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs.
• Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients.
• Conducting stakeholder interviews and workshops to gather and prioritize business requirements.
• Analysing and documenting current business processes and systems.
• Identifying opportunities for process improvement, cost reduction, and efficiency gains.
• Translating business requirements into functional specifications for technical teams.
• Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need.
• Collaborating with stakeholders to validate requirements and ensure alignment with business goals.
• Supporting the implementation and testing of solutions to ensure they meet business needs.

Technical and Functional skills:

• 5 years of experience as a customer facing business analyst with minimum graduation in any field.
• Analytical Expertise: Proficient in analysing business processes, systems, and requirements to identify areas for improvement and optimization.
• Communication Skills: Ability to effectively communicate with stakeholders from various backgrounds to gather requirements, facilitate meetings, and present findings.
• Problem-Solving Skills: Capable of identifying problems, proposing solutions, and implementing strategies to address business challenges.
• Documentation: Skilled in documenting business requirements, user stories, process flows, and other artefact to ensure clear communication and understanding among stakeholders.
• Data Analysis: Comfortable with data analysis techniques and tools to derive insights and make data-driven recommendations.
• Domain Knowledge: Possesses a deep understanding of the Hi-tech industry or Supply chain / logistics domain, enabling them to provide valuable insights and recommendations.
• Project Management: Familiarity with project management methodologies and practices to effectively manage project timelines, resources, and deliverables.
• Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification.
• Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc.
• Knowledge of data visualization tools like Power BI, Tableau, QlikSense etc.
• Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports.
• Very high attention to detail and quality.