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Data Management and modeling: The role will require to consolidate and review planning inputs and develop capacity plan. The incumbent supports creation of databases, creates reporting structures with analytic teams or develops them inhouse, and deep dives into cost and leadership reviews. The candidate is required to use mathematical and statistical models for developing scenarios, variances in plan and computation in the form of simple to complex excel/Python based models.Projects: Drive projects in operations process, planning efficiencies and scale across multiple functions within Payment Risk. Examples are idle time planning, compute production headcount ratios based on work-types.
Key job responsibilities
Effectively plan and execute capacity and headcount planning
• Independently define analytical approach and metrics to track head count variance
• Scale forecasting strategies and expand past immediate department
• Create simple statistical adhoc models to enable decision making on staffing
• Have a broad understanding of the data available in both traditional and non-traditional sources, allowing access to new levels of analysis
• Work with data owners, production systems, or other authoritative sources to guarantee data
fidelity (attrition, hiring, and headcount data)
• Solve the most complex and ambiguous analytic projects for PRO related to HC forecasting
• Comfortably and skillfully flex among various tools according to the problem and data
• Derive recommendations from analysis that have impact on multiple teams and provide significant business value
• Run basic regression methods (e.g., linear, logistic, basic time series) and identify opportunities to leverage more advanced modeling methods
• Own the effective communication of metrics and analysis
• Partner with forecasting and data science teams to influence the direction of data visualization platforms
• Influence other teams to ensure deadlines are met; hold stakeholders accountable
• Effectively manage and deliver assigned projectsA day in the life
1. Review current gaps in capacity and headcount for the responsible functions and work with stakeholders to mitigate them
2. Work on excel or python based or similar tools to analyze patterns in site forecast, gaps in headcount measurement
3. Conduct and be present in critical meetings to drive stakeholders for delivering business solutions leveraging data
4. Work on incumbents project roadmap items on a day to day basis
5. Be a key voice when representing headcount and operational expense as drivers to business decision making during leadership forums
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- 3+ years of business analyst, data analyst or similar role experience
- Experience partnering with executive-level leaders to identifying and solving business issues
- Experience with SQL
- Strong Analytical and Program management and analytical skills
- Ability to manage different programs at a network level to influence and obtain buy-in, and then drive execution, analysis and achievement of the right results
- Excellent written and verbal communication skills with understanding of Service Operations industry
- Experience owning program strategy, end to end delivery, and stakeholder management
- Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field
- Understanding of Tools built in Python using Statistical concepts
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