- T-shaped role combining strong business communication with hands-on data science/analytics execution.
- Own end-to-end delivery-from interpreting vague executive requests to building automated data pipelines.
- Heavy focus on executive presence: clear communication active listening and polished presentations.
- Deliver executive-ready insights that answer the so what with no additional cleanup needed.
- Act as team lead/mentor improving junior staff output and introducing better tools/processes.
- Handle rapid-turnaround analytics projects (often within 48 72 hours).
- Build scalable solutions using Python SQL and LLM-based automation workflows.
- Navigate technical limitations bureaucracy and shifting priorities with creative problem-solving.
- Requires strong ownership mindset business acumen and experience with sales/retention/call center domains.
-
Bonus: experience with automation/orchestration tools data architecture and visual storytelling (dashboards/decks).
Mandatory SkillS
- Strong communication & executive presence (presenting to senior leadership storytelling)
- End-to-end ownership of analytics projects (problem solution delivery)
- SQL proficiency (core data querying skill)
- Python proficiency (data analysis automation workflows)
- Experience with LLMs / prompt engineering (practical usage understanding limitations)
- Business acumen (answering so what aligning insights to decisions)
- Rapid delivery mindset (working in tight 48 72 hour timelines)
- Problem-solving in constrained environments (workarounds dealing with red tape)
- Leadership/mentorship experience (guiding junior team members)
- Domain experience in sales retention or call center operations
- High accountability & ownership mindset
Secondary / Bonus SkillS
- Automation & orchestration tools (schedulers pipelines)
- Advanced workflow automation using LLMs
- Data engineering / architecture fundamentals
- Dashboarding & visual storytelling (clean executive-ready outputs)
- Design skills / strong presentation aesthetics (deck-building UX mindset)
T-shaped role combining strong business communication with hands-on data science/analytics execution. Own end-to-end delivery-from interpreting vague executive requests to building automated data pipelines. Heavy focus on executive presence: clear communication active listening and polished prese...
- T-shaped role combining strong business communication with hands-on data science/analytics execution.
- Own end-to-end delivery-from interpreting vague executive requests to building automated data pipelines.
- Heavy focus on executive presence: clear communication active listening and polished presentations.
- Deliver executive-ready insights that answer the so what with no additional cleanup needed.
- Act as team lead/mentor improving junior staff output and introducing better tools/processes.
- Handle rapid-turnaround analytics projects (often within 48 72 hours).
- Build scalable solutions using Python SQL and LLM-based automation workflows.
- Navigate technical limitations bureaucracy and shifting priorities with creative problem-solving.
- Requires strong ownership mindset business acumen and experience with sales/retention/call center domains.
-
Bonus: experience with automation/orchestration tools data architecture and visual storytelling (dashboards/decks).
Mandatory SkillS
- Strong communication & executive presence (presenting to senior leadership storytelling)
- End-to-end ownership of analytics projects (problem solution delivery)
- SQL proficiency (core data querying skill)
- Python proficiency (data analysis automation workflows)
- Experience with LLMs / prompt engineering (practical usage understanding limitations)
- Business acumen (answering so what aligning insights to decisions)
- Rapid delivery mindset (working in tight 48 72 hour timelines)
- Problem-solving in constrained environments (workarounds dealing with red tape)
- Leadership/mentorship experience (guiding junior team members)
- Domain experience in sales retention or call center operations
- High accountability & ownership mindset
Secondary / Bonus SkillS
- Automation & orchestration tools (schedulers pipelines)
- Advanced workflow automation using LLMs
- Data engineering / architecture fundamentals
- Dashboarding & visual storytelling (clean executive-ready outputs)
- Design skills / strong presentation aesthetics (deck-building UX mindset)
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