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 solid analytical and storytelling skills and the ability to find relevant stories from piles of reports.
- Very high attention to detail and quality.

📌 Process Manager (Mumbai)
🏢 Personiv
📍 Mumbai