Project Manager - Data Analytics

Job Position : Project Manager - Data Analytics

Job Description :

Work as a thought partner with the client, maintain and grow the client relationship; make independent key decisions related to client management.
• Be able to manage multiple stakeholders involved in the project, by understanding their business problem, discussing the project scope, getting clarity on the business context/data/process, etc., and reviewing deliverables.
• Attend various client meetings and be able to independently assess how TSC can support the project better through analytics.
• Manage client expectations in terms of delivery scope and timelines; help ensure that there is no scope creep and if there is, the timelines expectations are managed.
• Work with the client to answer questions of the offshore team and guide the project team on the next steps and way forward.
• Keep the client updated on project progress and flag any issues or roadblocks.
• Work proactively with different points of contact to remove the roadblocks.
• Keep track of utilization and share the utilization tracker with the client. Proactively identify the need for adding/removing resources.

Project Management
• Independently manage project(s) of varying complexities, ensuring top-notch quality and timeline adherence through the delivery team in India.
• Help the project team(s) identify, extract, organize, manage, and analyze client data.
• Carry out logical, accuracy, and consistency checks on data, if needed.
• Work closely with the client and delivery team to identify the right analytical solution/approach/methodology to answer various client questions.
• Review the deliverables from a business perspective and help the team identify trends and key insights.
• Be able to take the analytical solution and design an implementation plan; move the code to the client server that interacts with client data.

People Management
• Work remotely with a delivery team and guide the analysts and the India-based project lead in understanding client objectives better and translate the business questions into an analytical plan with associated priorities and constraints.
• Help and guide team members on how to use and implement basic and advanced statistical techniques like linear/non-linear regression, decision trees, segmentation, test vs control selection, etc.
• Provide feedback on team members to the India project lead.

Skills
• Expertise in SAS (Base, Advanced, and Macros).
• In-depth hands-on knowledge in using Excel/PPT and one of the data visualization software such as MicroStrategy or Tableau.
• Expertise in various analytical techniques such as regression (log-linear, log-log, mixed effect, pooled, etc.), time series analysis, exploratory data analysis, etc.
• Superior problem-solving abilities and strong analytical thinking.
• A positive, enthusiastic, self-driven person with excellent communication skills.
• Mature seasoned individual comfortable in working with senior (VP, CXO) level clients.
• 5+ years of relevant experience in Advanced Analytics across a variety of projects starting from exploratory data analysis, segmentation, forecasting, predictive modeling, optimization.
• Experience in managing, cleaning, and analysis of large datasets using statistical packages like SAS and R.
• Experience of working onsite directly with senior-level clients in the US or UK.
• At least 2-3 years of sound experience in developing analytical solutions for retail/CPG clients.