Analytics Engineer

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $100k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cotulla Education

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Cotulla Education is a dynamic ecosystem that empowers the future workforce by transforming ambition into action. It connects education and industry to provide best-in-class training and skills development, focusing on hands-on education that leads to lasting careers in various essential roles, including healthcare and skilled trades. Cotulla's mission is to build clear pathways to success for individuals and communities by preparing them for high-demand jobs.

📋 Description

• Develop, maintain, and optimize scalable data pipelines, integrations, views, tables, and analytical data models • Build dimensional models and semantic layers that create consistent, trusted sources of truth • Develop reusable analytical solutions supporting reporting, forecasting, and operational decision-making • Replace manual or one-time reporting with durable, automated solutions • Document models, transformations, metric definitions, dependencies, assumptions, and limitations • Serve as a primary analytical partner to executive and operational stakeholders • Translate ambiguous business questions into analytical requirements and technical solutions • Manage stakeholder needs from requirements through delivery, interpretation, follow-up, and ongoing support • Design and maintain executive-facing dashboards and reporting products • Develop reporting for KPIs, trends, exceptions, and business outcomes • Build forecasting, scenario-planning, statistical, and predictive models • Evaluate forecast accuracy and refine methodologies • Conduct exploratory analysis to identify trends, root causes, risks, and opportunities • Validate data and resolve data-quality, pipeline, modeling, and reporting issues • Establish monitoring and controls for reliable, timely analytical products • Present findings, forecasts, risks, recommendations, and limitations to executive and operational audiences • Translate technical concepts into clear business language • Partner with Business Intelligence, operations, functional teams, data engineering resources, and external vendors • Support and mentor teammates on SQL, data modeling, dashboard design, analytical methods, validation, and stakeholder communication

🎯 Requirements

• 3+ years of experience in analytics engineering, business intelligence, data engineering, advanced analytics, or a closely related field • Advanced SQL skills, including complex transformations, window functions, performance optimization, data validation, and reusable analytical models • Experience building and maintaining ETL/ELT pipelines and integrations • Experience developing executive and operational dashboards and business intelligence products • Experience with dimensional modeling, data warehousing, semantic layers, metadata, data lineage, and governed metric definitions • Ability to independently own an analytical domain or stakeholder relationship from requirements through delivery and ongoing support • Ability to translate ambiguous business questions into structured analytical approaches and practical solutions • Strong analytical judgment, problem-solving skills, intellectual curiosity, and attention to detail • Ability to communicate technical findings and recommendations clearly to both technical and non-technical audiences • Ability to work independently, manage competing priorities, and drive work through completion without continuous direction • A combination of education and directly related experience will also be considered • Preferred: experience with Snowflake or a comparable cloud data platform • Preferred: experience with Azure Data Factory, Fivetran, dbt, Python, or comparable data integration technologies • Preferred: experience with Tableau or comparable business intelligence platforms • Preferred: Python or another analytical programming language • Preferred: forecasting, scenario modeling, statistical analysis, or predictive modeling • Preferred: student information systems, CRM platforms, ERP systems, or higher education data • Preferred: Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Business Analytics, Finance, Economics, or a related field

🏖️ Benefits

• Medical, Dental & Vision Insurance (effective Day One) • 401(k) with Company Match • Paid Time Off • Paid Parental Leave • Tuition Reimbursement • Life Insurance • Employee Assistance Program • Professional growth and development opportunities • Competitive compensation