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E Cube Jobs (NOW HIRING)

VAE, Inc

Sr. UC Systems Engineer

Fort Huachuca, AZ · On-site

Active Secret Security Clearance DoD 8570/8140 compliant certification (e.g., Security+) 8-10+ ... Element (CUBE) &/or Ribbon SBC SIP, dial plans, call routing, and dial peers Enterprise VoIP ...

Tycho AI, Inc

Software Engineer

Cambridge, MA · On-site

Integrate advanced autonomy using ROS2 and STM32 Cube platforms * Help shape our build pipeline ... E-Verify and Right to Work: Tycho AI participates in E-Verify to confirm work authorization in the ...

Atria Group LLC

Cubes, Measures, Dimensions

Dallas, TX · On-site

... e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company ... Implement dynamic security, and configure cube for use via Cognos, Excel and Power View reports.

Something Inked

Inventory/Fulfillment Associate

Nashville, TN · On-site

$15.50 - $19.25/hr

Cube or re-cube items and locations. * Replenish bins from the suggested move report. * Maintain ... Maintain and update location audit report daily i.e., correct negative stocking locations and ...

SomethingInked

Inventory/Fulfillment Associate

Nashville, TN · On-site

$15.50 - $19.25/hr

Cube or re-cube items and locations. * Replenish bins from the suggested move report. * Maintain ... Maintain and update location audit report daily i.e., correct negative stocking locations and ...

Ruri Software Technologies LLC

BI Architect

OLAP cube work as well is also possible based on project needs. Description: The business ... i.e. agile as strong presentation and collaboration skills and can communicate all aspects of the ...

SomethingInked

Inventory/Fulfillment Associate

Nashville, TN · On-site

$15.50 - $19.25/hr

Cube or re-cube items and locations. * Replenish bins from the suggested move report. * Maintain ... Maintain and update location audit report daily i.e., correct negative stocking locations and ...

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E Cube information

See salary details

$22K

$61.8K

$143K

How much do e cube jobs pay per year?

As of Sep 10, 2026, the average yearly pay for e cube in the United States is $61,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What is an E Cube?

E Cube professionals typically refer to experts who provide engineering, energy, and environmental consulting services. They help organizations optimize energy use, improve sustainability, and comply with environmental regulations. E Cube specialists often work on building assessments, energy audits, and retro-commissioning projects to enhance efficiency and reduce operational costs. Their role is crucial in helping businesses achieve energy savings and meet green building standards.

How does an E Cube team typically collaborate with other departments to drive project success?

E Cube professionals often work in multidisciplinary teams, collaborating closely with departments such as engineering, project management, and quality assurance. Effective communication and regular cross-functional meetings are key to aligning objectives, addressing technical challenges, and ensuring smooth project delivery. This collaborative environment helps E Cube teams leverage diverse expertise, innovate solutions, and meet project milestones efficiently. Building strong relationships with stakeholders across departments is essential for overcoming obstacles and achieving shared goals.

What are the key skills and qualifications needed to thrive as an E Cube engineer, and why are they important?

To thrive as an E Cube Engineer (Energy, Environment, and Economics), you generally need a strong background in engineering fundamentals, environmental science, and economic analysis, often supported by a relevant degree such as environmental engineering or sustainable energy. Familiarity with modeling software (e.g., MATLAB, Simulink), energy management systems, and certifications like LEED or PMP are commonly required. Exceptional problem-solving abilities, analytical thinking, and effective communication are vital soft skills for collaborating across multidisciplinary teams and conveying complex concepts. These skills and qualifications are crucial for developing sustainable solutions that balance technical feasibility, environmental impact, and economic viability.

What is the difference between E Cube vs Data Analyst?

AspectE CubeData Analyst
Required CredentialsTypically requires certifications in data modeling, SQL, or specific E Cube toolsRequires degrees in statistics, mathematics, or related fields; often certifications in data analysis tools
Work EnvironmentPrimarily works with data warehousing, OLAP cubes, and business intelligence platformsFocuses on data collection, cleaning, analysis, and reporting across various industries
Employer & Industry UsageUsed mainly in business intelligence, data warehousing, and analytics teamsEmployed across finance, marketing, healthcare, and other sectors for data-driven decision making

While both roles involve working with data, E Cube specialists focus on creating and managing OLAP cubes for efficient data retrieval, whereas Data Analysts analyze data to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

More about E Cube jobs

What states have the most E Cube jobs?

States with the most job openings for E Cube jobs include:

What job categories do people searching E Cube jobs look for?

The top searched job categories for E Cube jobs are:

E Cube jobs near you
Infographic showing various E Cube job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $61,825 per year, or $29.7 per hour.

Business Intelligence Developer

Walpole, MA • On-site

Hollingsworth ＆ Vose
See more jobs at Hollingsworth ＆ Voseexternal

Full-time

Re-posted 22 days ago

Key responsibilities

  • Build Power BI dashboards and reports with drill-through, drill-down, parameters, and dynamic filtering to enable stakeholders to answer their own questions.

  • Develop, validate, and maintain semantic models, measures, and KPIs across multi-site, multi-currency environments, ensuring data accuracy and consistency.

  • Source, verify, and shape data using SQL against Oracle EBS and MES databases, and develop AI features such as natural-language Q&A, automated insights, and anomaly detection in reports and applications.

Job description

Role Purpose
Your job is to turn data into decisions. Hollingsworth & Vose is a global specialty manufacturer with mill operations across the Americas, Europe, and Asia - and the people running those operations, from the mill floor to senior management, need numbers they can trust and analytics they can act on. You build those.
A dashboard is not the outcome. The outcome is a plant manager who catches a margin problem a month earlier, or a finance team that stops arguing about whose number is right. We measure this role by results that matter to the business, not by reports shipped. Trust is the product - you treat it that way.
This is also a role for someone who wants to build with AI, not just read about it. We are embedding AI into how IT delivers - natural-language access to data, automated insights, AI-assisted development - and this role sits at the center of that work.
What You Own
  • Analytics people rely on. Power BI dashboards and reports covering trend, variance, cost, and margin analysis - with drill-through, drill-down, parameters, and dynamic filtering that let people answer their own next question.
  • Semantic models that hold up. Accurate models, measures, and KPIs. Multi-site, multi-currency, imperial/metric - handled correctly, to our site and item naming conventions, every time. If two reports disagree, that's your problem to run down.
  • The data behind the numbers. Strong SQL against Oracle EBS and our MES database to source, validate, and shape data. You verify before you publish - and when a number is wrong, "the source data was bad" is where your job starts, not where it ends.
  • The sales cube. Develop against our central SSAS multidimensional cube (live connection / MDX) for cross-ERP, multi-currency sales and margin analysis.
  • The existing SSRS estate. Maintain and rationalize current SSRS reports while the future state takes shape.
  • AI in production. Build AI features into Power BI and our internal applications - natural-language Q&A, automated insights, anomaly detection, AI-assisted workflows - and use AI tools daily in your own development.
  • The relationship. You listen first. You partner with stakeholders to understand the goal behind the question, and you deliver recommendations, not just charts. Nobody who depends on your work waits in the dark for a status update.
  • Trust in the numbers. Data accuracy, documentation, and version control. Done means running in production, validated against source, documented, and handed off.

The Environment You'll Work In
We're honest about this: it's a real manufacturing systems landscape, not a greenfield. The craft here is turning a complex environment into analytics people trust - if that sounds like work worth doing, you'll like it here.
  • Oracle E-Business Suite - OPM process and discrete manufacturing (recipes, batches, inventory, standard costing), AP/AR/GL, and order management, with significant in-house customization.
  • A manufacturing execution system (MES) - sales orders, machine utilization, mill cost, raw-material consumption, quality metrics, and production scheduling.
  • A central SSAS multidimensional sales cube aggregating data across ERP systems, with multi-currency and standard-vs-actual cost and margin analysis.
  • Reporting today is largely SSRS and Power BI; AI tooling is expanding rapidly.

Required
  • 3-5 years building analytical Power BI reports and dashboards - DAX, semantic modeling, performance tuning, row-level security.
  • Strong SQL with hands-on experience querying Oracle databases.
  • Experience consuming SSAS multidimensional cubes from Power BI, including MDX - not tabular/DAX only.
  • SSRS report development or maintenance experience.
  • Hands-on use of AI tools in your development work (tool-agnostic), and a genuine interest in building AI features into reports and applications.
  • An analytical mindset - you interpret data, spot trends, and frame insight for decision-making.
  • A strong communicator who partners well with non-technical stakeholders and works as part of a team.
  • Comfortable working on-site at a manufacturing mill.

Preferred
  • Oracle E-Business Suite experience, especially OPM process manufacturing.
  • MES experience (Tieto TIPS a plus).
  • Manufacturing or process-industry domain knowledge - costing, recipes, production and quality data.
  • Master data management (MDM) exposure - working with item, customer, or site master data across multiple systems, or contributing to data governance and standardization efforts.
  • Power Query / dataflows, paginated reports, or Microsoft Fabric experience.

Apply