[Hiring] Data Analyst @Cyncly

Role Description

As a Data Architect, you will be responsible for designing, building, and maintaining the technical infrastructure for customer insights data. You will work on creating secure, automated data pipelines, managing ETL processes, and enabling AI/ML capabilities. Collaborating with internal teams such as Customer Insights, Customer Success, and Operations, you’ll ensure data quality, reliability, and timeliness while maintaining technical documentation and optimizing analytics infrastructure.

Key Responsibilities

• Architect, build, and maintain secure, automated data pipelines and integrations connecting Snowflake, Totango, CustomerGauge, and other designated tools to enable near real-time feedback and reporting.
• Oversee ETL processes and integration rules, ensuring reliable, accurate, and low-latency delivery of customer health and feedback data. Conduct monthly data quality audits and report findings to the Customer Insights team.
• Develop and implement a standardized, unified data schema. Manage platform configuration and system-of-record logic for all insight sources, with quarterly reviews and updates.
• Coordinate the technical design and deployment of AI/ML models for predictive analytics, automation, and anomaly detection, in partnership with relevant cross-functional teams.
• Manage survey trigger automation, business logic for health score refreshes, and success metric calculations, with documented workflows and change logs.
• Ensure best practices in data validation, governance, monitoring, security, and regulatory compliance, following company and industry standards.
• Maintain up-to-date documentation of all integrations and admin configurations. Provide training and technical support to internal stakeholders as needed.
• Lead technical support for data enrichment, continuous optimization, new platform rollouts, and escalation of vendor issues, with clear escalation paths and response timelines.
• Proactively identify technological gaps and advise on system scalability or automation enhancements, providing quarterly recommendations to leadership.

Qualifications

• Solid experience building and maintaining data solutions within SaaS environments, with expertise in ETL, SQL, Snowflake, and integration middleware.
• Demonstrated ability to automate data flows, support machine learning development, and administer platforms such as Totango and CustomerGauge.
• Strong understanding of customer journey analytics, segmentation, and data governance.
• Proven skills in documentation, troubleshooting, and providing internal support for platform transformation, maintenance, and optimization.
• Advanced English (C1+).

Benefits

• National Medical Health Plan (Unimed);
• National Dental Assistance (Unimed);
• Maternity & Paternity extension leave;
• Life Insurance;
• Meal/ Restaurant allowance (Alelo Tudo);
• Home office allowance (if applicable);
• Education Platforms and training funding;
• Gympass, Zenklub (Health app) and Guapeco (Pet Plan);
• Annual Profit Sharing Program;
• Education allowance;
• DayOff as a birthday gift;
• Agreement with pharmacies, restaurants and theaters.

Company Description

Cyncly is a leading global provider of specialized visualization, sales, manufacturing and content software and solutions for the retail, design and manufacturing industries. Cyncly was created to unite Compusoft, 2020 Technologies and their affiliate companies after their merger in 2021. The Company brings together more than 35 years of industry experience to provide a connected platform of configure, price, quote (CPQ) software, online space planning, computer-aided design (CAD) applications, business process management, manufacturing execution systems and enterprise resource planning (ERP). Cyncly serves more than 70,000 customers across 100 countries, with operations in North America, Europe, South America, Asia Pacific, and Africa.

At Cyncly, we are committed to fostering an increasingly diverse and inclusive environment where all voices are valued and celebrated. We prioritize representation from minority groups. We recognize that our unique approach and success stem from the wealth of perspectives brought by our diverse teams.