Jobs in the United States

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Added 3 mins ago
Category Lead, Capital Equipment (CAPEX)
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Leverage spend analytics, market intelligence, supplier benchmarking, and category performance data to drive informed decision-making.
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Inventory Control Specialist
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Added 14 mins ago
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Behavioral Scientist, Senior
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- $160,000 to $175,000 USD / year
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Added 15 mins ago
Data Analyst II Transportation
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Added 17 mins ago
Sr Manager Strategic Capacity Management
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Workforce Manager, Support
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Added 18 mins ago
Fraud Data and Analytics Analyst
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Added 22 mins ago
RN Senior Nurse Manager of Performance Analytics
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Added 22 mins ago
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- $100,000 to $200,000 USD / year
Serve as strategic partner to the CEO and executive team, enabling data-informed decision-making through strong business intelligence and analytics.
Added 23 mins ago
Director of Platform Engineering and Data
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Marketing Intelligence, Campaign Planning Manager
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Senior Lead Customer Insights Manager
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Experience with business intelligence and data visualization platforms such as Power BI, and with SQL for joining disparate data sets
Added 24 mins ago
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Intern - Analytics
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- $25 to $30 USD / hour
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Added 26 mins ago
Product Management Director - Bank
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Added 26 mins ago
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BUSINESS INTELLIGENCE & SYSTEM ANALYST
MECHANICAL SERVICES & DESIGN INC
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- $28 to $36 USD / hour
The Business Intelligence & Systems Analyst serves as a strategic partner to the business by transforming complex data into meaningful insights that drive informed decision-making and…
Added 27 mins ago
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Staff GTM Systems Engineer
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Remote, United States
- $216,000 to $292,000 USD / year
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Added 27 mins ago
Senior Lead Customer Insights Manager
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Remote, United States
Experience with business intelligence and data visualization platforms such as Power BI, and with SQL for joining disparate data sets

Pearson

Senior Data Engineering

Remote, United States

Remote

The full-time salary range for this position is between $100,000 - $110,000.

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Job details

Pay: The full-time salary range for this position is between $100,000 - $110,000.
Workplace: Remote
Apply by: Nov 19, 2026
Experience: 3–5 years of experience in Power BI development, business intelligence, data analysis, or a related area
Posting language: English
Posted: Nov 5, 2026

Original job description

Business Intelligence Developer (Power BI) Job Title: Data Engineer Pearson Virtual Schools (PVS) – Enabling Technology Location: Remote

About Pearson Virtual Schools At Pearson Virtual Schools (PVS), we are committed to expanding access to high-quality education through innovative digital learning solutions. PVS is a division within Pearson, a global leader in the education industry. Our PVS Enabling Technology team plays a critical role in this mission by building scalable, trusted data products that empower school leaders, educators, and operational teams to make informed decisions that improve student outcomes. As we evolve toward a Data Product–driven organization, we are investing in modern analytics capabilities that combine trusted data pipelines, semantic models, and self-service reporting experiences.

Role Overview We are seeking a Power BI Developer to help build and deliver analytics and ETL (extract, transform & load) solutions that support decision-making across Pearson Virtual Schools. This role will work across data engineering and business intelligence, turning data into clear and useful reporting experiences. You will work with data engineers, analysts, and business stakeholders to develop semantic models, dashboards, and reports that follow established data products and organizational standards. This is a hands-on individual contributor role with independent ownership of reporting work across the delivery lifecycle - from gathering requirements through deployment and support - while collaborating with experienced team members on broader analytics and data engineering initiatives.

What You’ll Do Data Visualization & Reporting

Design and develop Power BI dashboards and reports that support school operations, student outcomes analysis, and enterprise reporting
Translate business needs into intuitive, actionable visualizations aligned with PVS reporting standards
Help improve report performance, usability, and accessibility for diverse end users (school leaders, analysts, executives)
Implement and maintain data security policies within reporting tools in adherence with PVS data security policies, governance and best practices

Semantic Modeling

Build and maintain Power BI semantic models (datasets) that serve as governed, reusable data foundations
Apply established data modeling practices such as star schema, DAX optimization, and row-level security
Partner with engineering to ensure alignment between data pipelines and reporting layer

Data Quality & Reliability

Validate data outputs and ensure consistency between reports and source systems
Troubleshoot data discrepancies, refresh failures, and performance issues
Contribute to monitoring, testing, and documentation of reporting solutions
Implement and validate Row Level Security in a multi-tenant environment

Collaboration & Delivery

Work closely with business stakeholders to refine requirements and prioritize features
Participate in design discussions, backlog refinement, and peer reviews
Communicate technical tradeoffs, risks, and timelines clearly to both technical and non-technical audiences

Scalability & Data Product Enablement

Contribute to the development of scalable, reusable reporting assets that align with PVS data product strategy
Support self-service analytics by enabling well-documented datasets and consistent definitions
Contribute to improvements in deployment practices, governance, and lifecycle management

What You Bring

Technical Expertise

4+ Years of practical experience with Power BI, including report development, visualizations, DAX, Power Query, and semantic modeling; exposure to tools such as Tabular Editor 3, DAX Studio, or ALM Toolkit is helpful
Strong knowledge of data modeling concepts, including star schema and fact/dimension design
Experience with SQL and working with structured datasets in data warehouses/lakehouses
Familiarity with data pipelines and integration concepts (e.g., Azure Data Factory, ETL/ELT patterns)

Problem Solving & Growth

Experience independently delivering reporting solutions from requirements through deployment and support
Ability to troubleshoot common data, performance, and visualization issues, with support when needed
Experience improving data quality, reliability, and usability

Collaboration & Communication

Strong communication skills that deliver exceptional value to internal and external customers
Ability to translate complex technical concepts into clear, actionable insights
Experience working cross-functionally with engineering, analytics, and business teams
Strong documentation and knowledge-sharing practices

Qualifications

3–5 years of experience in Power BI development, business intelligence, data analysis, or a related area
Experience building or supporting reports and dashboards used for operational or business decision-making
Experience working with data in an environment where tools, architecture, and governance practices continue to evolve

Preferred Experience

Experience in education, EdTech, or multi-tenant data environments
Experience with Google BigQuery
Exposure to data governance, lineage, and semantic layer standardization
Experience supporting self-service analytics at scale

Why Join Us

Contribute to meaningful analytics work that supports students, educators, and school systems nationwide
Be part of a growing Data Product organization shaping the future of analytics at PVS
Work in a collaborative environment that values innovation, ownership, and continuous improvement
Become part of the Pearson Virtual Schools mission where we are helping people achieve success through lifelong learning

Success in This Role Looks Like

Trusted, high-performing Power BI reports used consistently by stakeholders
Scalable semantic models enabling self-service analytics
Reduced data discrepancies and improved reporting reliability
Strong partnership across engineering, analytics, and business teams
Consistent delivery of reporting projects meeting and exceeding requirements and timeframes

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range for this position is between $100,000 - $110,000. This position is eligible to participate in an annual incentive program, and information on benefits offered ishere. Applications will be taken until 11/19.

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More about this job

Skills

Data engineering
Microsoft Power BI
Decision making
Business intelligence
Reporting
Data visualization
Apply information security policies
Data modelling
Troubleshoot
Documentation
Collaboration
Power Query
SQL
Microsoft Azure Data Factory
Problem solving
Communication skills
Data analysis
BigQuery

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