Job Title: Senior Analytics Engineer Duration: 6+ Months Location: LATAM Need to support PST timings Description:What You'll Do Customer & Product Collaboration Gather and analyze customer feedback to evaluate enhancements and new feature opportunities. Validate product features with customers and participate in walk‐throughs during development. Work closely with customer teams to ensure delivered features are intuitive and user‐friendly. Data Engineering & Analytics Design and write queries to extract data for dashboards, reports, and decision‐support tools. Develop automation solutions and integrate data pipelines and processes. Identify appropriate data sources, reporting metrics, and analytical tools based on business needs. Governance & Quality Ensure compliance with data governance guidelines, including minimal necessary data sharing. Implement and maintain data quality checks and monitoring systems to ensure data integrity. Cross‐Functional Collaboration Partner with internal business units to convert requirements into analytical and reporting solutions. Improve data availability by bridging communication between data warehouse teams and business stakeholders. Continuous Improvement Apply advanced analytical, mathematical, and statistical techniques to interpret data. Maintain strong product knowledge through continuous learning. Stay current with best practices, new technologies, and relevant industry trends.What You'll Need Minimum Qualifications 4+ years of experience in business intelligence, analytics, data warehousing, or related fields. Bachelor's degree (or equivalent) in Computer Science, Engineering, Mathematics, Finance, Statistics, or a related discipline. Demonstrated experience usingdbtfor data transformation and modeling.Preferred Qualifications Experience in statistics or applied analytics. Strong expertise in SQL, data mining, and BI/reporting tools (e.g., Tableau, Power BI, QuickSight). Familiarity with Python, R, or other scripting languages. Experience working with CRM systems (e.g., Salesforce, HubSpot) for reporting and dashboarding. Knowledge of cloud-based data warehousing platforms (e.g., Snowflake, AWS Redshift, Databricks). Excellent communication, planning, and organizational skills. Understanding of API design principles and communication protocols (REST, JSON, XML). Experience designing and implementing data models (relational and non‐relational).