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Data & Automation Specialist (Investment Products)

NEW
RemoteFull-timeGlobal
šŸ  Remote
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will automate recurring reporting workflows and build lightweight analytical tools to speed up product and operations work. You will write Python scripts, query data with SQL, and create dashboards and ad-hoc analyses to validate hypotheses. You will reduce manual work through automation and AI-driven workflows, support campaign and provider performance analysis, and collaborate with Product, Operations, and Data teams to deliver pragmatic solutions quickly.

Requirements

  • ā—Strong Python skills with experience in data analysis and automation (pandas, SQL, APIs, scripting).
  • ā—Proven track record of automating business processes, ideally using AI-assisted workflows.
  • ā—Experience building dashboards or structured reports for business stakeholders.
  • ā—Solid understanding of data structures, databases, and basic DWH concepts.
  • ā—Experience working in financial services, fintech, or crypto environments.
  • ā—Understanding of swaps, staking, yield products, or trading mechanics is a strong advantage.
  • ā—Ability to move fast and deliver pragmatic solutions without overengineering.
  • ā—Strong analytical mindset and comfort working with ambiguous data.
  • ā—Ability to collaborate with Product, Ops, and Data teams in a fast-moving environment.

Responsibilities

  • ā—Automate recurring Excel and reporting workflows using Python and related tools.
  • ā—Build and maintain regular performance reports for swaps, staking, yield, and partner campaigns.
  • ā—Develop ad-hoc scripts to support marketing campaigns, incentive programs, and business initiatives.
  • ā—Work closely with Data Engineering on DWH structure, validation, and data quality improvements.
  • ā—Perform exploratory data analysis to support product decisions and fast hypothesis testing.
  • ā—Create lightweight internal tools for operations and product teams.
  • ā—Reduce manual processes through AI-driven automation and workflow optimization.
  • ā—Translate business hypotheses into practical scripts or analytical outputs.
  • ā—Support provider performance analysis, campaign ROI tracking, and unit economics reporting.

Benefits & Perks

  • ā—Remote work from any location
  • ā—Compensation for purchase of necessary technical devices for the work

Tech Stack

data warehousingpandasDWHdata qualityscriptingswapsyieldAIAPIunit economicsproject:Tangem AG
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