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Lead a short-term data optimization and structuring mission. The objective is not to build everything from scratch, but to audit, clean, and consolidate our current setup, improve data quality, and make our reporting more robust and scalable.
Job Responsibility:
Audit and map existing data sources and flows
Review current dashboards (Looker) and reporting logic
Clean, structure, and harmonize datasets across tools
Identify inconsistencies, gaps, and redundant processes
Strengthen data models and reporting foundations
Improve reliability and documentation of KPIs
Collaborate closely with Finance, Asset Management, Ops, Sales, and Tech teams
Recommend pragmatic improvements to data architecture, governance, and accessibility
Requirements:
3–6 years experience as Analytics Engineer / Data Analyst / Data Engineer
Strong SQL skills (Python is a plus)
Experience with modern data stacks (DBT, Fivetran or similar, BigQuery/Snowflake, Looker or equivalent BI tools)
Comfortable working with existing systems and improving them pragmatically
Autonomous, structured, and business-oriented mindset
Startup or fast-growing environment experience is a strong plus
Nice to have:
Experience using GenAI / automation tools to accelerate workflows is appreciated