Business Operations Analyst (Data-Driven)

AsiaFinance Group is seeking a Business & Operations Analyst to drive measurable efficiency across processes, systems, and reporting. This mid-senior role focuses on uncovering operational bottlenecks, automating workflows, and building actionable dashboards that guide leadership decisions. The ideal candidate blends analytical rigor with operational tooling expertise and strong stakeholder management skills.

• Map core business processes and implement improvements to reduce manual effort and cycle times
• Build and maintain KPI dashboards (throughput, SLA adherence, backlog health, cost-to-serve) in Tableau/Excel
• Analyze multi-system data from CRM, finance, call center, and CLM to identify inefficiencies and recommend fixes
• Lead and coordinate tool rollouts or enhancements including requirements gathering, UAT, adoption, and training
• Partner with Ops/Finance/COO teams to support budgeting, forecasting, and monthly management reporting
• Own data quality routines and cross-system reconciliations; define governance and documentation
• Establish monitoring and alerting for process health and SLA breaches

• 3-5+ years in Business Operations, Operations Analytics, or Finance Operations
• Solid SQL and Excel skills; working knowledge of Python for data manipulation and automation
• BI development experience with Tableau strongly preferred
• Hands-on experience with CRM and/or operational platforms (Zoho CRM/Books, Salesforce, RingCentral, CLM tools)
• Demonstrated process improvement and automation outcomes with quantified impact
• Strong stakeholder communication and ability to influence across functions
• Nice-to-have: ContractPodAI or other CLM experience, SAP Ariba, Jira/Confluence, BPMN/UML familiarity, program or budget ownership, RevOps or customer operations metrics knowledge

Schedule: Full-time

Location: Remote/Warsaw

Benefits & Perks: Success metrics include 20-40% reduction in manual effort within key workflows, 15-30% cycle-time reduction for target processes, dashboard adoption by leadership with defined usage cadence, improved data accuracy (less than 2% discrepancy across systems), and on-time/on-budget delivery of tool rollouts.