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Dbt Analytics Jobs in Delaware (NOW HIRING)

Power BI Architect-67189

Dover, DE · On-site

$125 - $150/hr

Own end-to-end data architecture for finance + supply chain analytics, reporting, and operational ... Informatica / ADF / Fivetran / dbt / Airflow (any relevant); Storage & formats: Parquet/Delta ...

Dbt Analytics information

See Delaware salary details

$37.5K

$64K

$92.1K

How much do dbt analytics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for dbt analytics in Delaware is $63,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $71,100.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt in demand?

Dbt analytics engineers are increasingly in demand as organizations adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field, which is growing alongside the broader data analytics industry.

What cities in Delaware are hiring for Dbt Analytics jobs?

Cities in Delaware with the most Dbt Analytics job openings:

Power BI Architect-67189

Hitachids

Dover, DE • On-site

$125 - $150/hr

Other

Posted 20 days ago


Job description

Dover, Delaware, United States of America

Job Description

Roles & Responsibilities:

  • Masters in PowerBI, Finance Solution Data Architect with deep expertise in Supply Chain data and its intersection with Finance (Procure-to-Pay, Inventory Accounting, Costing, CapEx/OpEx, Vendor Spend Analytics).
  • The architect will lead the design of scalable data solutions that unify supply chain and finance data across ERP, procurement, logistics, inventory, and billing systems—enabling accurate reporting, forecasting, compliance, and operational insights.
  • Own end-to-end data architecture for finance + supply chain analytics, reporting, and operational use‑cases.
  • Define target‑state architecture (lake house/warehouse, streaming, APIs, metadata) aligned to enterprise standards.
  • Design robust data ingestion and integration patterns (batch/stream, CDC, API‑based, file‑based).
  • Ensure architecture supports auditability, reconciliation, and financial controls (traceability from source to report).
  • Architect domain‑aligned datasets for Procure‑to‑Pay (requisitions, purchase orders, invoices, payments).
  • Architect domain‑aligned datasets for Inventory & Warehousing (receipts, transfers, adjustments, stock valuation).
  • Architect domain‑aligned datasets for Costing (standard/actual costing, landed cost, freight, BOM where relevant).
  • Architect domain‑aligned datasets for Vendor & Spend (vendor master, contracts, pricing, spend categorization).
  • Architect domain‑aligned datasets for Logistics (shipment tracking, carrier costs, delivery performance).
  • Enable integration between supply chain events and finance outcomes (e.g., GR/IR, accruals, capitalization, write‑offs).
  • Create and maintain conceptual, logical, and physical data models (3NF, dimensional, Data Vault as applicable).
  • Define canonical models and enterprise semantic layers for KPI consistency.
  • Establish best practices for master data (vendors, materials/items, locations, cost centers).
  • Establish best practices for reference data (currency, UOM, fiscal calendar, shipping terms).
  • Establish best practices for hierarchies (product, supplier, org, region).
  • Partner with data engineering teams to implement ETL/ELT pipelines, orchestration, CI/CD, environment management.
  • Partner with data engineering teams to implement performance tuning, partitioning, indexing, clustering strategies.
  • Partner with data engineering teams to implement observability (logging, monitoring, SLA/SLI, cost optimization).
  • Enable governed self‑service analytics through reusable datasets and thin‑report architecture.

Must Have Technical/Functional Skills:

  • 10+ years in data/solution architecture with strong ownership of enterprise‑scale implementations.
  • Strong experience designing data warehouses/lake houses, enterprise integration, and analytics platforms.
  • Strong experience in data modeling (dimensional + normalized) and semantic layer design.
  • Strong understanding of business processes and data in commercial operations, logistics, procurement, inventory, supplier management, costing.
  • Cloud & Data Tech Stack (choose based on your environment): Azure; Fabric / Synapse; Informatica / ADF / Fivetran / dbt / Airflow (any relevant); Storage & formats: Parquet/Delta/Iceberg; S3/ADLS/GCS.
  • Querying: advanced SQL; performance tuning; data partition strategies.
  • Data governance: Collibra / Purview / Alation (or equivalent).
  • BI/Analytics: Power BI (data modeling, DAX, performance tuning, semantic layer design, governance, deployment pipelines).
  • Design semantic models in Power BI for enterprise‑wide reuse, ensuring consistent KPI definitions.
  • Hands‑on experience in DAX optimization, performance tuning, composite models, and security (RLS/OLS).
  • Implement workspace architecture, deployment pipelines, and governance best practices in Power BI.
  • Experience with real‑time analytics, event streams, and near real‑time dashboards for operational insights.

Generic Managerial Skills (If any):

  • Stakeholder Management & Delivery: Engage Finance, Supply Chain, Procurement, and IT stakeholders to translate needs into architecture.
  • Lead architecture reviews, technical documentation, and implementation roadmaps.
  • Work with program/product managers to define scope, milestones, dependencies, and risk mitigation.
  • Education: Bachelor of Engineering/Computers.
How we look after you

We help take care of your today and tomorrow with industry‑leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

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