Data Analytics Engineer

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

📋 Description

• Design, enhance, and sustain dashboards and reports using BI tools like PowerBI, Tableau, and Databricks AI/BI.

• Convert business requests submitted via a ticketing system into precise and actionable data visualizations.

• Maintain consistency in definitions, metrics, and data logic across various reports.

• Optimize queries and dashboards for improved performance and clarity.

• Document the logic and assumptions behind essential metrics and dashboards.

• Create and manage database views, derived tables, and other analytical objects.

• Conduct data modeling and transformation to ensure reliable downstream reporting.

• Identify and resolve data discrepancies while verifying data accuracy across systems.

• Collaborate on enhancements to data structure and warehouse organization.

• Provide accurate, well-documented dashboards within agreed service level agreements (SLAs).

• Develop clean, reusable SQL objects for long-term reporting requirements.

• Enhance clarity and consistency in defining metrics.

• Minimize back-and-forth on reporting requests through strategic implementation.

• Lead business interactions, establish standards, document KPIs and reports, optimize large data models, and mentor junior team members.

• Engage with clients to tackle challenging data engineering issues.

⛳️ Requirements

• Advanced proficiency in SQL, encompassing querying, joins, CTEs, aggregations, and window functions.

• Practical experience with cloud-based data warehouses.

• Familiarity with creating dashboards and reports in Looker, Tableau, or Power BI.

• Ability to interpret business needs and translate them into technical solutions.

• Strong attention to detail and adherence to data validation practices.

• Experience in dashboard engineering, storytelling, and enhancing usability.

• Expertise in data modeling and transformation utilizing large datasets.

• Capability to lead business interactions, set standards, document KPIs and reports, optimize extensive data models, and mentor junior team members.

• Bachelor’s Degree in Computer Science or a related Engineering discipline.

🏝️ Benefits

• Health insurance coverage for employees and eligible family members, including spouses, domestic partners, and children, starting from the first day of employment.

• At least 15 days of paid time off annually.

• Nine paid company holidays.

• Opportunities to enhance both technical and interpersonal skills.

• Chances to lead teams on complex, innovative customer projects.

• Professional development and career advancement opportunities.

• An innovative environment utilizing cutting-edge technologies.

• A collaborative culture that promotes knowledge sharing.