Senior Analytics Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Evaluate the usage, adoption, costs, and satisfaction levels of corporate tools.

• Produce usage and cost data to assist in vendor management during contract renewals.

• Ensure ongoing visibility into the tools portfolio, including trends and alerts.

• Examine volume, cycle times, SLA performance, rework, and bottlenecks within Service Management workflows.

• Discover opportunities for automation, simplification, and self-service, along with estimating potential benefits.

• Establish and monitor efficiency and support experience metrics.

• Oversee comprehensive studies, from formulating questions to offering recommendations, sizing opportunities, and developing business cases.

• Transform analyses into narratives for leadership and executive discussions.

• Prepare executive reports and presentations to aid in investment, renewal, and prioritization decisions.

• Assist in product discovery and define success metrics for the team’s products.

• Develop data products, from the discovery phase to adoption.

• Build and maintain structured data models with a focus on quality, documentation, and consistent definitions for each metric.

• Create dashboards for leadership and operational teams, linked to specific inquiries or decisions.

• Integrate various data sources such as ServiceNow, Jira, tool usage data, and financial databases.

• Automate data collection and recurring processes using SQL and Python.

• Collaborate with the engineering analytics team to utilize the existing data infrastructure.

⛳️ Requirements

• Proven experience with analyses and data products that have guided decisions, including clear conclusions and recommendations.

• Proficient in SQL with experience in Databricks, BigQuery, or other cloud data platforms.

• Experience in creating dashboards tailored for executive and operational audiences.

• Strategic communication skills to distill complex topics into clear messages for decision-makers.

• Strong business acumen and the ability to independently structure open-ended problems.

• Critical thinking skills regarding metrics, biases, and data limitations.

• Diligent management of sensitive data, adhering to LGPD compliance, anonymization, and access controls.

• Advanced knowledge of SQL, Python, and Databricks.

• Familiarity with BI tools for creating executive and operational dashboards.

• Understanding of ServiceNow, Jira, Confluence, corporate tool usage data, and financial databases.

• Experience with AI assistants like Claude and Gemini for exploration, documentation, and synthesis.

• Preferred qualifications include: Python for exploratory analysis and automation; expertise in ITSM data and process analysis; knowledge of people analytics or HR data; education or experience in product management and discovery.

🏝️ Benefits

• Base salary.

• Variable compensation package (profit sharing, long-term incentive plan, or commission), contingent on role eligibility.

• Health and dental insurance with copayments.

• Verde Virtual Hospital: a telemedicine team available 24/7.

• Medication subsidy.

• Meal and/or food allowance – Pluxee.

• Childcare assistance for children up to 5 years and 11 months old.

• Support for employees with children who have disabilities.

• Life insurance.

• Fuel or commuting assistance.

• Home office allowance for hybrid or remote contracts.

• Welcome kit for new parents.

• SESC partnership.

• Education benefit: Internal self-development platform (Studa and Stone Library).

• Acolhe360º: Free emotional support.

• Quick massage and on-site medical clinic.

• Optional benefits: Wellhub, TotalPass, Pet Club, Flash, Férias&Co, transportation voucher, Allya, and educational partnerships.