Analytics Engineer

🕒 September 24

🇺🇸 United States – Remote

💵 $120k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 36%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 49 days.
• Jobs at this company usually fill in 21 days.
• Reposted 2 times.

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Apex Companies, LLC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Funding Round on 2019-01

Consulting • Healthcare • Logistics

Apex Companies, LLC is an award-winning consulting and engineering firm that provides a comprehensive range of services related to water resources, environmental solutions, and infrastructure development. Their expertise spans across various sectors including health and safety compliance, environmental assessment, civil engineering, and sustainable infrastructure management. With a commitment to delivering high-impact results, Apex is dedicated to fostering a safe, sustainable, and equitable future for their clients and communities.

📋 Description

• Partner with business leaders, subject-matter experts, and end users to understand processes, challenges, goals, and reporting needs • Lead discovery and requirements-gathering sessions and document business rules, data definitions, use cases, acceptance criteria, and success measures • Translate business needs into curated data products, semantic models, self-service datasets, dashboards, AI-ready data assets, and operational reporting • Advise stakeholders on KPI design, metric consistency, solution options, and the appropriate use of reporting, self-service, automation, or AI-enabled experiences • Design and build reusable data products and semantic models supporting Power BI reports, dashboards, scorecards, self-service analytics, and AI-enabled experiences • Create and optimize DAX measures for accuracy, performance, and consistency • Enable governed self-service analytics and AI readiness through certified data assets, documentation, and user education • Design, build, and support Microsoft Fabric data pipelines, notebooks, lakehouses, warehouses, and related components • Develop ingestion and transformation processes using SQL, Python, Fabric Data Factory pipelines, and related tools • Build Bronze, Silver, and Gold data layers using reusable, domain-aligned patterns • Integrate data from enterprise applications, APIs, files, cloud platforms, and on-premises systems • Implement monitoring, validation, error handling, and performance improvements • Design dimensional models, star schemas, curated data marts, and analytical models • Profile and validate source data and resolve quality issues with business and system owners • Document data lineage, transformation logic, KPI definitions, solution architecture, dependencies, support procedures, and intended consumption • Follow and strengthen standards for naming, security, access, testing, deployment, and lifecycle management • Own solutions through discovery, design, development, testing, deployment, adoption, and ongoing support • Work within source control and CI/CD practices • Troubleshoot data, model, refresh, and report issues and perform root-cause analysis • Identify opportunities to reduce manual reporting, retire duplicate solutions, expand self-service, and apply AI or automation • Share knowledge through documentation, demonstrations, and working sessions

🎯 Requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Business Analytics, or a related field, or equivalent practical experience • Professional experience in analytics engineering, business intelligence, data engineering, or a similar field • Ability to gather requirements, understand business processes, and translate needs into technical solutions • Strong experience developing enterprise data and analytics solutions, including semantic models, DAX, and Power BI delivery • Strong SQL skills and experience with relational and analytical data • Experience building or supporting ETL/ELT processes, data pipelines, and data transformations • Knowledge of dimensional modeling, star schemas, data warehousing, and data quality practices • Ability to communicate effectively with business stakeholders, technical teams, and vendors • Ability to manage multiple priorities, work independently, and take ownership of deliverables • Preferred: Hands-on experience with Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, notebooks, and semantic models • Preferred: Experience developing data transformations or automation using Python or similar tools • Preferred: Experience with Git, Azure DevOps, deployment pipelines, testing, and CI/CD practices • Preferred: Experience integrating data from REST APIs, SaaS platforms, SQL Server, and cloud-based systems • Preferred: Experience with data governance, lineage, metadata, access controls, KPI or data-dictionary management, and governed data for self-service or AI use cases • Preferred: Experience supporting enterprise functions such as Finance, Sales, Project Management, Human Resources, Health & Safety, or Operations • Preferred: Experience in architecture, engineering, construction, environmental, or professional-services organizations • Preferred: Familiarity with project-based business metrics such as backlog, utilization, revenue, profitability, project performance, and resource planning

🏖️ Benefits

• Annual bonus opportunities • Company-subsidized medical and dental insurance • Company-paid life, short-term, and long-term disability insurance • 401(k) match • Tuition assistance • Cross-training and ability to work on a variety of projects • Performance-based bonuses or other incentives • Professional development and investment in employee growth • Autonomy and flexibility to do your best work

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