~22m ago

Analista Sr. de Processos

BrazilRemoteFull-time

Other

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Quick Summary

Requirements Summary

Bachelor's degree in Production Engineering, Engineering, Business Administration, Statistics, Information Systems, Quality Management, or a related field.

Technical Tools

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In this role, you will play a key part in building and strengthening a dedicated Process Management and Continuous Improvement function within a leading digital marketplace. You will help transform operational workflows into mature, standardized, and efficient processes supported by data, governance, and measurable results. Working closely with cross-functional teams and external partners, you will identify inefficiencies, redesign processes, and lead initiatives that deliver sustainable operational improvements. You will combine analytical thinking, process modeling, and stakeholder management to turn complex challenges into practical solutions. This is an opportunity to influence operational strategy, promote a culture of continuous improvement, and contribute to a dynamic, technology-driven environment. The position offers a flexible, predominantly remote working model, with occasional intentional in-person collaboration.

Lead end-to-end process diagnostics by comparing AS-IS and TO-BE scenarios through stakeholder interviews, operational observations, data analysis, and collaborative workshops.
Map and document business processes using BPMN, identifying bottlenecks, unnecessary handoffs, rework, decision-making weaknesses, and operational inefficiencies.
Design optimized future-state processes, quantifying expected improvements in productivity, cycle time, quality, costs, and operational risks, while developing realistic implementation plans.
Create and maintain process standardization materials, including Standard Operating Procedures (SOPs), flowcharts, RACI matrices, decision trees, and exception-handling criteria.
Lead continuous improvement initiatives using methodologies such as DMAIC, PDCA, Kaizen, and A3, ensuring improvements are implemented and sustained over time.
Define, monitor, and analyze process KPIs, including cycle time, compliance, rework, quality, SLAs, and productivity, translating performance data into actionable recommendations.
Conduct structured root cause analyses using tools such as Ishikawa diagrams, the 5 Whys, Pareto analysis, and FMEA.
Manage the process change pipeline, assessing requests, evaluating impacts and risks, maintaining version control, communicating changes, organizing training, and monitoring adoption.
Drive change management initiatives with internal teams, stakeholders, and BPO partners to ensure redesigned processes are consistently implemented.
Present process assessments, improvement opportunities, hypotheses, and measurable results to leadership through clear, data-driven recommendations.

Requirements

~2 min read

Bachelor's degree in Production Engineering, Engineering, Business Administration, Statistics, Information Systems, Quality Management, or a related field.
Proven experience in process management and continuous improvement, covering the full lifecycle from AS-IS assessment and TO-BE redesign to implementation and sustained results.
Strong knowledge of BPMN and process modeling tools such as Bizagi, Lucidchart, Miro, Visio, or equivalent platforms.
Practical experience with Lean and Lean Six Sigma methodologies, including DMAIC, Value Stream Mapping (VSM), Kaizen, PDCA, and A3, applied to projects with measurable outcomes.
Advanced Excel skills and the ability to independently analyze operational data and interpret business intelligence indicators.
Experience defining, monitoring, and managing operational KPIs and SLAs, including target setting and performance deviation analysis.
Proven ability to facilitate stakeholder interviews, workshops, and alignment meetings with business teams.
Excellent written and verbal communication skills, with the ability to translate complex analyses into clear, concise, executive-level recommendations.
Strong analytical thinking, autonomy, organization, and adaptability when managing multiple priorities in a dynamic environment.

Nice to have:

Lean Six Sigma certification.
Experience working in digital operations or technology-driven businesses.
SQL knowledge for data querying and validation.
Experience with process automation and AI applications, including workflows, agents, and automated decision-making models.
Familiarity with agile environments, including squads, sprints, and OKRs, as well as tools such as Jira and Confluence.