Responsibilities :
- Use internal and external data ( tickets, user growth, vendor capacity, trends) to derive insights that will drive strategic business decisions
- Build prototypes of analytical tools to help scale the procurement of insights
- Drive operational excellence that supports cross functional partners, and ensure the smooth running of weekly, monthly and quarterly business rhythms
- Develop compelling analyses to execute data-informed initiatives that helps improve our support channels, productivity, and quality at scale
- Focus on process and continuous improvement of core metrics through automation and process enhancement
- Act as a thought leader for data-informed initiatives and guide the team’s direction overall
- Conduct in-depth investigations leveraging large and complex data sets
- Partner with Data Science, Data Engineering, Product and Customer Operations teams to solve problems at scale
- Inform, influence, and execute new strategies and tactics using analysis and impact metrics to support your positions
- Build / maintain reports, dashboards, and metrics that equips the CO organization to scale successfully Must have Skills :
- Tableau
- Tableau
- Dashboarding, visualizations, insights, Analytics, Reporting, Metrics
Nice to have Skills :
- Python
- Operations analytics
Minimum Qualifications :
- BA / BS in an analytical field ( Computer Science, Engineering, Mathematics, Statistics, Business or a related field)
- years of work experience in Business Analytics, Sales Analytics, Sales Finance, Sales Operations, and / or Strategy consulting, or + years experience with MBA / Master’s degree
- Demonstrated problem-solving experience with experience providing actionable business insights and recommendations data and fact-based
- Demonstrated experience in storytelling with data
- Experience in statistics, sampling techniques, machine learning, A / B testing
- Experience working collaboratively with cross-functional stakeholders and partners
- years of SQL experience (creating and updating queries)
- years experience of initiating and driving projects to completion
- Experience with data visualization tools such as Tableau or packages in R / Python
- Experience with reporting systems and data pipeline architecture
- Communication experience in articulating issues to both technical and non-technical audiences
- Preferred Qualifications
- Experience with Customer Operations or Scaled Services
- Experience extracting data from large / complex databases
Compensation :
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries :
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.