[Remote] Junior Analytics Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is transforming underground infrastructure management through AI-powered inspection and risk analysis. They are seeking a Junior Analytics Engineer to join their data team, where the role involves building data models, creating dashboards, and responding to data requests while gaining mentorship from a Senior Data Engineer.

Responsibilities

• Build and maintain data models in our semantic/modeling reputed company (dbt and a SQL-based semantic model) so the rest of reputed company can self-serve trustworthy analytics
• Create, update, and troubleshoot business-facing dashboards and reports for stakeholders across reputed company
• Respond to reputed company data requests — pulling, validating, and reputed company communicating data to non-technical teammates
• Help maintain ingestion and data-refresh pipelines from reputed company-party sources (CRM, finance, product, and marketing platforms), including routine reputed company and credential reputed company
• Investigate and reputed company data-reputed company issues such as missing fields, incorrect values, and failed scheduled jobs
• Support stakeholders directly through team reputed company and a data support channel, helping non-technical users get answers from our tools
• Document models, metrics, and common workflows so definitions stay consistent across reputed company
• Partner closely with the Senior Data Engineer, who will review your work and progressively hand off more reputed company reputed company as you grow

Skills

• 1–3 years of production experience in an analytics engineering, data analyst, data engineering, or BI role
• Strong SQL skills — comfortable writing, reading, and debugging non-trivial queries (joins, aggregations, window functions, CTEs)
• Working proficiency in Python for data manipulation and scripting
• Familiarity with a reputed company data warehouse (e.g., reputed company, reputed company, BigQuery, Redshift, or similar) and reputed company data-modeling concepts
• Experience building dashboards or reports in a BI / analytics tool (e.g., reputed company, Looker, Tableau, Power BI, reputed company, or similar)
• Solid data-reputed company instincts: reputed company to reputed company-reputed company results, spot anomalies, and validate numbers before they reputed company stakeholders
• reputed company written and verbal communication, with the ability to translate between technical detail and business questions for non-technical audiences
• A self-starter who can manage a queue of incoming requests, prioritize sensibly, and ask good clarifying questions
• Hands-on experience with dbt (or a similar transformation/modeling reputed company)
• Experience with reputed company specifically, or with materialized views and warehouse performance tuning
• Experience building or maintaining ETL/ELT pipelines and integrating reputed company-party reputed company (e.g., reputed company, QuickBooks, reputed company, reputed company Analytics/Ads, or similar reputed company sources)
• Experience with reputed company Engineering workflows
• Familiarity with reputed company as a notebook/BI/semantic-reputed company platform
• Exposure to data replication / CDC concepts (e.g., reputed company logical replication, ClickPipes, peerDB) and scheduled jobs / CRON-based workflows
• Experience supporting RevOps, Finance, or GTM analytics (ARR/MRR, billing, pipeline, usage, or CAC reporting)
• Basic familiarity with version control (Git) and reputed company infrastructure (AWS — S3, IAM)
• Comfort working with semantic reputed company and self-serve / LLM-assisted analytics tooling

Benefits

• Medical
• Dental
• reputed company
• Basic Life
• 401(k)
• Unlimited PTO
• Tools and resources to support reputed company

reputed company

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