Analytics Engineer, Mid-Level – CRM

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

📋 Description

• Design and construct CRM data solutions by organizing datasets, tables, rules, and pipelines for campaigns, customer journeys, and relationship strategies.

• Create scalable customer segmentation and intelligence, converting business requirements into automated, reusable, and production-ready solutions.

• Enhance the CRM data architecture, contributing to data modeling, integration, performance, quality, observability, and governance.

• Develop and implement data products and services utilized by CRM and other teams.

• Construct solutions using SQL, Python, and Databricks, prioritizing automation, efficiency, scalability, and the minimization of manual tasks.

• Leverage AI Engineering and GenAI to create automations, agents, tools, and solutions that enhance access to data, insights, and knowledge.

• Establish mechanisms to democratize data and knowledge, thereby decreasing dependence on manual analysis.

• Collaborate with stakeholders to translate business challenges into technical requirements, data solutions, and measurable hypotheses.

• Create proofs of value, experiments, and assessment mechanisms to evaluate impact and support data-driven decision-making.

• Ensure comprehensive documentation, version control, testing, monitoring, and maintenance of solutions.

• Take ownership of deliverables from start to finish, including estimation, planning, scope and timeline negotiation, risk identification, and progress reporting.

⛳️ Requirements

• Proficient in advanced SQL, including the manipulation and transformation of large datasets.

• Experience in developing and operationalizing data solutions with Databricks.

• Proficient in Python for engineering, automation, data processing, and analysis.

• Strong knowledge of data engineering concepts, including pipelines, ETL/ELT, data modeling, integration, and data quality.

• Familiarity with AI Engineering/GenAI, including the development and integration of LLM-based solutions, automations, and agents.

• Ability to create solutions with a focus on production readiness, scalability, reliability, and reusability.

• Strong capability to align technical decisions with business objectives and outcomes.

• Excellent communication skills and the ability to work efficiently with both technical and business stakeholders.

• Demonstrated autonomy, organizational skills, estimation abilities, and the capacity to manage your own deliverables.

• Preferred qualifications include experience with CRM, Customer Analytics, customer segmentation and activation, experimentation/A-B testing, APIs, Git/CI/CD, Lakehouse architecture, Delta Lake, MLflow, and developing AI solutions integrated into corporate environments.

🏝️ Benefits

• Employees have the option to work remotely.

• We are an equal opportunity and affirmative action employer.

• A people-centered, inclusive, and purpose-driven culture.

• Opportunities for professional development and investment in personnel and advanced technologies.