US Mobile - Analytics Engineer
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Requirements
• We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you. • 4+ years of professional experience in analytics engineering, data engineering, or data science. • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes. • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt). • Proficiency in Python or a similar scripting language for data processing and analysis. • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices. • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker. • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.
Benefits
• Flexible working hours • Supplemental health insurance • Professional development stipend • $500 wfh tech set-up reimbursement • $120,000 - $160,000 a year • Think you could be a good fit? Apply to learn more! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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