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 using dbt for 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).