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Data Analytics Engineer Bi System Analyst Jobs (NOW HIRING)

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and ... data What We're Looking For Analytics Engineering and Modeling Expertise * 5 to 8+ years in ...

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and ... data What We're Looking For Analytics Engineering and Modeling Expertise * 5 to 8+ years in ...

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and ... data What We're Looking For Analytics Engineering and Modeling Expertise * 5 to 8+ years in ...

Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Master's degree is a plus. * Minimum (three) 3+ years in a data-focused role (analytics engineer, BI ...

Data & Analytics Engineer

Bristol, VA · On-site

$93K - $112K/yr

Integrate ERP, CRM, operational systems, cloud applications, APIs, and third-party data sources ... Power BI Data Analyst Associate * Microsoft Certified: Azure Data Engineer Associate Salary: $85 ...

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

You will also assist with ETL from Equipment division software systems and their Data Warehouse ... Strong technical, analytical, and problem-solving skills Internal notes on clients tech: Power BI ...

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant ... This role sits at the intersection of Collectiv's Data Engineering and Senior Power BI Consultant ...

Data Analytics Engineer

Towson, MD · Hybrid

$109K - $131K/yr

You will also assist with ETL from Equipment division software systems and their Data Warehouse ... Strong technical, analytical, and problem-solving skills Internal notes on clients tech: Power BI ...

Data Analytics Engineer

Towson, MD · On-site

$109K - $131K/yr

Experience with data concepts, large data architectures and systems engineering towards data ... Internal notes on clients tech: * Power BI Dashboard Visualization * Data Model development * Deep ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including ...

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Experience with BI tools such as Power BI, Tableau, or similar platforms * Familiarity with cloud ... Familiarity with SAP ERP systems and integration with data solutions * Experience working with ...

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools. * Strong ... Knowledge of data modeling and analytics engineering best practices. * Experience with Databricks ...

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Data Analytics Engineer Bi System Analyst information

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$44K

$88.6K

$149.5K

How much do data analytics engineer bi system analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data analytics engineer bi system analyst in the United States is $88,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $110,000.00 per year, depending on experience, location, and employer.

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For Data Analytics Engineer Bi System Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Analytics Engineer Bi System Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $88,614 per year, or $42.6 per hour.

Data Analytics Engineer

Houston, TX • On-site

DEXTER TECHNOLOGIES INC
Recruiting and Staffing Services • 1 - 10 employees

$130K - $140K/yr

Full-time

Medical, Dental, Vision

Posted 19 days ago


Key responsibilities

  • Design, build, and maintain SQL views, staging tables, and fact/dimension models in the Azure SQL data warehouse, including deduplication and business-rule logic.

  • Build and maintain Power BI semantic models, reports, and dashboards for business stakeholders and company-wide reporting.

  • Monitor scheduled data pipelines, respond to failures, perform basic troubleshooting, and make minor modifications to existing pipelines to support business requirements.


Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

Hi,
We are actively seeking qualified candidates for the following position for our client, who is an industry leader:
 
Data Analytics Engineer
Location: Houston TX (4 days in office)
Type: Full Time 
 
This role is a hybrid, bridging the gap between data engineering and business intelligence.  You'll spend part of your time writing and optimizing SQL — building staging tables, views, and fact/dimension models — and part of your time building semantic models and reports in Power BI. Keeping an eye on our scheduled data pipelines, you’ll handle first-line troubleshooting when something fails. You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data.
This is a great fit for someone who wants breadth — real ownership across the data stack — on a team small enough that your work visibly matters.
 
Key Responsibilities
·       Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).
·       Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.
·       Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.
·       Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows. 
·       Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.
·       Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.
·       Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.
  • Continuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.
Knowledge and Skills  
Required
·       3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.
·       Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.
·       Dimensional modeling fundamentals (star schemas, slowly changing dimensions).
·       A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.
·       Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.
Preferred
·       Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) -  you understand that business rules, not just dates, often drive how records should be deduplicated or classified.
·       Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.
·       Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.
·       Basic Git / source control experience.
·       Python for data tasks.
  • Knowledge of data quality frameworks and data governance practices. 
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.

Flexible work from home options available.