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Today

Microsoft Fabric Data Analyst

Arrivia, Inc. Salt Lake City, UT

Salt Lake City, UT

Today

Full time Business Analytics Business Intelligence Data Analysis

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Job Description

Join Arrivia, Inc. as a Microsoft Fabric Data Analyst in Salt Lake City, UT (onsite) and help teams move from data to decisions with governed, AI-enabled reporting. This role focuses on building trusted Power BI experiences on top of Microsoft Fabric data platform semantic models, so stakeholders get clear answers quickly and securely.

Responsibilities

Design, build, and publish Power BI reports that consume Fabric semantic models using DirectLake and Import modes.
Turn business questions into logical data models and intuitive, clearly labeled report layouts.
Write and optimize DAX measures that support the KPIs the business depends on.
Gather, document, and refine reporting requirements in collaboration with business partners.
Implement row-level and object-level security within semantic models to meet governance standards.
Validate reports against source data to ensure accuracy and consistency.
Create certified datasets and reusable templates so teams can answer their own questions.
Participate in peer reviews of reports, DAX logic, and model design, and share improvements and learnings.
Present findings and partner across teams to translate insights into action.
Use AI tools to sharpen analysis, streamline work, and accelerate delivery.

Requirements

1 to 3 years building Power BI reports and dashboards in a professional setting.
Hands-on Microsoft Fabric experience, including data modeling.
AI experience with a demonstrated track record of using AI tools in day-to-day work.
Working knowledge of DAX for measures, calculated columns, and time-intelligence functions.
Strong data modeling fundamentals, including star schema, relationships, and cardinality.
SQL experience to query relational sources and validate the data behind reports.
Power Query and M for Import-mode transformations.
Clear communication skills and the ability to collaborate across teams to present data and resolve issues.
Bachelor’s degree in a related field (or equivalent experience).
Experience aligned with membership or loyalty programs is a plus.
DP-600 Microsoft Fabric Analytics Engineer Associate certification preferred and required within 12 months of hire.

Benefits

Unlimited PTO
Exclusive employee travel rates
Travel discounts through Arrivia programs
Medical, dental, and vision insurance
401(k) with company participation

Technologies: Microsoft Fabric, Power BI, Fabric semantic models, DirectLake, Import mode, DAX, SQL, Power Query, M, AI tools

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5d ago

Business Data Analyst I

DHL Newnan, GA

Newnan, GA

5d ago

$70k - $115k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

DHL Supply Chain is seeking a Business Data Analyst I to turn operational information into insights that help improve performance and reduce costs. This onsite role in Newnan, GA focuses on building and maintaining analytics reporting in Power BI while working directly with site and sector teams to support efficient, data-driven decisions.

What you’ll do

Develop and maintain Power BI reports that support both operational and strategic decisions
Handle end-to-end Power BI development, including data visualization and back-end data model design
Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
Partner with site and sector leadership to identify opportunities for efficiency and cost reduction
Support functional teams such as HR and Finance with customized analytical solutions as business needs evolve
Translate complex findings into clear, actionable insights through presentations and internal or customer-facing reports
Leverage data from multiple operational systems, including a Warehouse Management System and Timekeeping systems
Manage analytics projects independently, from concept to delivery
Act as a point of contact for Power BI questions and ongoing support

What you bring

Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience (required)
1+ years of experience in data analytics, business intelligence, or a related area (required)
Hands-on experience using SQL or other scripting languages such as Python or R to query, clean, and transform data (required)
Proficiency in Power BI, including building dashboards and reports from scratch (required)
Experience writing DAX expressions to automate and enhance Power BI reports (required)
Strong understanding of statistical concepts and data modeling techniques (preferred)
Excellent communication and presentation skills with the ability to turn data into actionable insights (preferred)
Ability to work independently, manage multiple priorities, and meet deadlines (required)
Must be able to work fully onsite if the role is based out of a warehouse (required)

Tools and technologies

Power BI
SQL
DAX
Python
R
Warehouse Management System
Timekeeping systems

Compensation and benefits

The salary range for this role is USD 70,000 - 115,000 per year.

Medical
Dental
Vision
Prescription
Discounted Stock Purchase
Generous PTO policy

Location: Newnan, GA (onsite)

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11d ago

Mid Power BI Data Analyst

ITA International Newport News, VA

Newport News, VA

11d ago

$110k - $125k/yr Full time Business Intelligence Data Analysis Data Analytics

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Job Description

ITA International is seeking a Mid-Level Power BI Data Analyst to support the U.S. Army T2COM mission in a hybrid role based in Fort Eustis, Virginia. The position focuses on analyzing, transforming, modeling, and visualizing data to support mission operations and leadership decision-making.

Key Responsibilities

Design, develop, test, deploy, and maintain Power BI reports, dashboards, semantic models, and analytical solutions.
Collect and analyze reporting and data requirements from government stakeholders and mission users.
Translate business questions and mission requirements into data and visualization solutions.
Identify appropriate data sources and create repeatable extraction, transformation, and preparation processes.
Use Power Query to connect, transform, cleanse, and combine data from multiple sources.
Build scalable Power BI semantic models.
Create and maintain DAX measures, calculated columns, calculated tables, and analytical expressions.
Develop dashboards and reports that clearly communicate operational and mission information for intended audiences.
Implement filtering, drill-down, drill-through, and interactive reporting functionality.
Support dashboards for operational users, program managers, analysts, and senior leadership.
Connect Power BI to enterprise data sources including Dataverse, SQL databases, SharePoint, Excel, APIs, Microsoft 365, and other approved sources.
Validate data accuracy, completeness, consistency, and timeliness; identify data-quality issues and coordinate resolution with data owners and technical teams.
Contribute to data dictionaries, metadata, business definitions, and reporting standards.
Partner with Business Analysts to define reporting requirements, metrics, key performance indicators, and business rules.
Coordinate with Power Platform developers and architects to integrate Power BI capabilities into broader Power Platform solutions.
Support development and maintenance of Power Apps and Power Automate solutions where reporting and analytics are required.
Optimize Power BI reports, models, queries, and datasets for performance.
Configure and maintain data refresh processes and support Power BI deployment across development, test, and production environments.
Participate in peer reviews and technical design reviews; troubleshoot issues related to reports, datasets, refresh processes, data sources, and visualizations.
Document data sources, transformations, calculations, assumptions, and report logic; create test cases and perform data validation.
Support user acceptance testing and incorporate stakeholder feedback.
Monitor production reports and resolve issues according to established support procedures.
Assist with data analysis and ad hoc reporting requests; identify opportunities to improve data accessibility, reporting automation, and analytical capabilities.
Apply established security, governance, data handling, and access-control requirements.
Stay current with Microsoft Power BI and related data platform capabilities.
Perform other data analysis and reporting duties needed to support T2COM mission objectives.
Develop and maintain Power BI dashboards embedded within Power Apps using Power BI tiles.

Required Qualifications

Bachelor’s degree in a related technical discipline (Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or equivalent) or equivalent professional experience.
4+ years of experience in data analysis, business intelligence, reporting, data visualization, or a related field.
2+ years of hands-on Power BI development experience.
Demonstrated experience developing production-quality Power BI reports and dashboards.
Strong experience with Microsoft Power BI, Power Query, DAX, data modeling, data visualization, and data analysis.
Experience developing relational data models and working with structured data.
Experience working with SQL and relational databases.
Experience connecting Power BI to multiple data sources.
Experience developing calculated measures and analytical expressions using DAX.
Experience cleansing, transforming, and validating data using Power Query or comparable tools.
Experience gathering and documenting reporting and analytical requirements.
Ability to translate business requirements into meaningful analytical products.
Strong understanding of data quality, data validation, and data governance concepts.
Experience working with business and technical stakeholders.
Strong analytical, problem-solving, and critical-thinking skills.
Strong written and verbal communication skills.
Ability to obtain and maintain a Secret security clearance.

Technologies

Microsoft Power BI, Power Query, DAX
Dataverse, SQL, SharePoint, Microsoft 365, Excel
Power Platform, Power Apps, Power Automate
Azure, Azure SQL, Azure Data Lake, Azure Synapse, Microsoft Fabric
APIs, REST APIs, custom data connectors
Power BI semantic models
Row-level security (RLS)
Azure DevOps, Git
Power BI deployment pipelines
Power BI tiles

Compensation and Location

Location: Newport News, VA (hybrid).
Salary: USD 110,000 - 125,000 per year.

Benefits

Medical, dental and vision plans
Life Insurance
Short Term Disability insurance (where applicable)
Voluntary ancillary benefit options
401k retirement benefits with employer matching contributions
Pay range for this position is $110,000 - $125,000 annually

Preferred Qualifications

Microsoft Power BI Data Analyst Associate certification.
Microsoft Power Platform certifications.
Experience with Microsoft Fabric and/or Azure data services.
Experience with Azure SQL, Azure Data Lake, Azure Synapse, or other Azure data technologies.
Experience with Microsoft Dataverse.
Experience with Power Apps and Power Automate.
Experience with SharePoint Online and Microsoft 365.
Experience developing Power BI solutions using REST APIs and custom data connectors.
Experience with advanced DAX optimization and performance tuning.
Experience implementing row-level security (RLS).
Experience with Power BI deployment pipelines and Azure DevOps.
Experience with Git or other source-control technologies.
Experience developing executive-level dashboards and performance scorecards.
Experience supporting U.S. Army, DoD, or federal government programs.
Familiarity with RMF, NIST, FISMA, DISA STIGs, Zero Trust, and federal cybersecurity requirements.
Experience working with controlled, sensitive, or mission-critical data.
Familiarity with federal data governance and information-handling requirements.
Active Secret security clearance.

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1mo ago

Senior Data Analytics Engineer

ASSA ABLOY Phoenix, AZ

Phoenix, AZ

1mo ago Closed

Full time Senior Analysis Services Azure Data Factory

This position is no longer accepting applications (closed Sep 21, 2026).

Job Description

ASSA ABLOY is hiring a Senior Data Analytics Engineer to build and operate governed analytics foundations that help Sales and Finance make better decisions on revenue drivers. This role expands quickly in scope: within the first year, you will extend certified datasets, standardized metrics, and a shared semantic layer to supply chain, manufacturing, and quality analytics in an AI-enabled environment, governed under the Group Responsible AI Policy.

What you’ll deliver

Partner with Sales and Finance to create a differentiated sales analytics product focused on revenue drivers such as pricing/discounting, mix, customer or segment performance, and channel.
Produce executive-ready insight narratives and repeatable decision frameworks, including driver trees, leading indicators, and KPI hierarchies.
Integrate and reconcile data beyond ERP by bringing in sources such as customer POS feeds, CRM, external or industry signals, customer master enrichment, and spreadsheets into governed analytical datasets.
As the foundation matures, extend the same certified-dataset and semantic-layer approach to additional functional domains in a sequence and priority plan developed with IT and business leadership.
Own domain analytics coverage across:
- Supply Chain: inventory, fulfillment, and demand-planning analytics sourced from JDE and related systems.
- Manufacturing: production throughput, downtime, and cost or efficiency analytics.
- Quality: defect and scrap trends, supplier quality performance, and corrective-action tracking using primarily SQL Server-based operational data plus other systems.

How the analytics ecosystem will work

Design and own curated analytics datasets and reusable dimensional models that support a single source of truth across functional domains.
Establish and enforce consistent KPI definitions using a metrics and semantic layer approach, so metrics are defined once and reused everywhere.
Implement testing, documentation, and data-quality practices to support stakeholder trust and adoption.
Reduce ad-hoc reporting by delivering certified datasets, reusable templates, and clear consumption patterns that enable business self-service safely.
Provide training and enablement through office hours, best-practice templates, and “how to use” documentation, supported by analytics community rituals.
Contribute to an Analytics COE operating model centered on standards, adoption, and scalable enablement rather than report-factory or help-desk patterns.

Engineering practices and AI-enabled execution

Partner with IT leadership to shape and execute a 12 to 18-month roadmap for analytics capabilities across the in-scope domains, including platform patterns, data products, priority areas, and adoption metrics.
Implement analytics CI/CD patterns such as version control, release discipline, and peer review to scale reliably.
Apply AI-assisted techniques (for example anomaly detection, driver analysis, AI-assisted query or code generation) to accelerate time-to-insight and adoption where it improves outcomes.
Work within an AI-enabled analytics environment using enterprise-grade AI tooling already in place across EMG IT, aligned to the Group Responsible AI Policy (accountability, fairness, reliability, transparency).

What you bring

8–10+ years in analytics/BI/data roles with evidence of business impact and strong cross-functional collaboration.
Required: experience directly managing or supervising technical staff (this role has a formal direct report).
Expert SQL and strong data modeling (facts/dimensions, performance-aware).
Proven ability to create reusable analytics assets (certified datasets, metric definitions, semantic consistency) that generalize across domains.
Strong business acumen and the ability to proactively propose analyses.
Exposure to supply chain, manufacturing, or quality analytics is a plus; Sales & Finance depth is the priority, with additional domains learned as scope expands.
Python is a plus for automation, scripting, and analysis.
AI-assisted techniques experience is a plus (an ability and willingness to learn is sufficient; deep AI/ML expertise is not required).
Proficiency in MS Office.
Strong relational database knowledge with hands-on experience in MS SQL Server and dimensional/star-schema modeling, since most source data across domains resides in SQL systems.
Preferred: experience with Power BI and Analysis Services development (measures, semantic models, DAX).
Preferred: experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake) and/or Azure Data Factory for ingestion and transformation.
Knowledge of SSIS, stored procedures, triggers, and performance tuning.
Strong Software Development Lifecycle knowledge; SCRUM experience and certification is a plus.
Ability for business and safety reasons to write reports and correspondence in English, and effectively present information and respond to questions in English to managers, clients, customers, technicians, and assemblers.

Location: Phoenix, AZ (onsite)

Physical demands and work environment

Frequently required to sit, stand, walk, stoop, and kneel; use hands and reach with hands and arms; communicate clearly.
May be frequently required to lift up to 10 pounds.
Work environment may be moderate to loud; occasional proximity to fumes or airborne particles and toxic or caustic chemicals; may require working near moving mechanical parts.

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1mo ago

Data Scientist

Havis Inc Warminster, PA

Warminster, PA

1mo ago Closed

Full time Python Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

The Data Scientist position in the Finance department supports the development of scalable analytics, machine learning, and AI-enabled solutions designed to improve decision-making, reporting accuracy, and overall business performance.

Role Overview

Working with Finance and cross-functional partners, the Data Scientist gathers and documents requirements, builds and validates analytical and predictive models, and develops ETL/ELT pipelines to power dashboards, recurring reporting, and self-service analytics. The role also includes applying advanced statistical and machine learning techniques and translating results for both technical and non-technical audiences.

Key Responsibilities

Partner with Finance, Operations, IT, and functional leaders to understand business objectives, document requirements, assess current-state processes, and recommend data-driven solutions that improve efficiency, accuracy, and decision-making.
Design, develop, test, and maintain analytical models, predictive tools, reporting datasets, and AI-enabled solutions using Microsoft, SQL, Python/R, LLM, and related technologies.
Build, maintain, and optimize ETL/ELT pipelines to ingest, cleanse, transform, and validate data from multiple internal and external sources, including structured and unstructured datasets.
Develop dashboards, recurring reports, self-service analytics tools, and executive-level visualizations that convert complex data into clear, actionable insights.
Apply machine learning, statistical analysis, forecasting, classification, optimization, and other advanced analytical methods to support planning, performance management, operational improvement, and strategic initiatives.
Provide technical guidance for data and analytics initiatives, ensuring alignment with business priorities, data governance expectations, security practices, documentation standards, and scalable architecture principles.
Support enterprise-level data workflows, system interfaces, third-party software integrations, and modernization efforts, including evaluating legacy system risks and recommending long-term improvements.
Troubleshoot data quality, database, reporting, software, and infrastructure issues; optimize SQL query performance and data refresh processes; and escalate complex matters to vendors or internal stakeholders as needed.
Conduct code reviews, validate analytical outputs, promote reusable development practices, and help establish standards for data definitions, model documentation, testing, version control, and deployment.
Communicate findings, recommendations, risks, and tradeoffs clearly to technical and non-technical audiences, including practical business implications of analytical results.

Required Qualifications

Minimum 3 years of experience in data analysis, data science, systems analysis, business intelligence, financial analytics, or a related role, with experience applying ML/AI concepts in a business environment strongly preferred.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, Quantitative Methods, Statistics, Engineering, or a related discipline, or an equivalent combination of education and relevant experience.
Strong foundation in SQL, relational databases, data warehousing, data modeling, data validation, and workflow orchestration (an assessment will be administered for this skillset).
Demonstrated analytical and problem-solving skills, including evaluating ambiguous business issues, identifying root causes, and proposing practical technical solutions.
Ability to collaborate with cross-functional stakeholders, end users, IT partners, and third-party vendors to deliver high-quality, sustainable analytics and system solutions.
Strong communication skills to explain technical concepts, analytical assumptions, model outputs, and business recommendations in a clear, audience-appropriate manner.
Strong time-management, organization, and prioritization skills, including independent work, managing multiple initiatives, and meeting deadlines in a dynamic environment.
High attention to detail with a commitment to producing accurate, reliable, repeatable, and well-documented work.
Working understanding of accounting and finance terminology, including bookings, shipments, sales versus revenue, COGS, OpEx, debits, credits, and related reporting concepts.
Working knowledge of ERP transaction flows, preferably within Microsoft Dynamics NAV/Business Central; experience with manufacturing, distribution, or inventory-related data is helpful.

Technical Skills and Tools

Technologies: SQL, Python, R, LLM, ETL, ELT, Microsoft, SQL Server, Power BI, DAX, Git, CI/CD

Technical Requirements

Advanced proficiency with Microsoft-based data, reporting, and development technologies, including SQL Server and related database tools.
Hands-on experience with machine learning and AI concepts, including model development, evaluation, automation, prompt-based or LLM-enabled workflows, and responsible use of AI outputs.
Strong experience with relational database design, SQL development, stored procedures, triggers, query optimization, indexing strategies, and performance tuning.
Proficiency with at least one scripting or statistical programming language, such as Python or R, for data processing, automation, modeling, and analysis.
Strong preference for hands-on experience with Power BI, including dataset design, DAX, report development, dashboard publishing, refresh management, and performance optimization.
Experience with Git or other version control systems; familiarity with CI/CD practices for data pipelines, analytics assets, reports, or software development preferred.
Working knowledge of Access, Oracle databases, Syspro ERP, or related enterprise applications preferred.
Knowledge of data storage strategies, partitioning, indexing, data retention, data quality controls, and governance considerations is a plus.
Ability to translate complex business requirements into scalable technical designs, data models, reports, integrations, and automation solutions.
Experience integrating ERP, financial, operational, or other enterprise-grade systems with reporting, analytics, or data warehouse environments.
Understanding of software security, access controls, testing practices, model validation, peer review, release management, and documentation standards.

Location and Work Environment

This is an onsite office-based role located in Warminster, PA. Regular collaboration with cross-functional business partners is required, and occasional access to manufacturing, warehouse, or production areas may be necessary. Applicable safety protocols and personal protective equipment requirements must be followed.

Additional Role Details

Department: Finance
Accountability: Reports to the Senior Manager, Financial Planning & Analytics
Prepared by: Human Resources
Approved by: Senior Manager, FP&A
Locations available (in addition to Warminster, PA): Hilliard, OH; Plymouth, MI; Burnsville, MN

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Power Bi Dax Data Jobs

Microsoft Fabric Data Analyst

Business Data Analyst I

Mid Power BI Data Analyst

Senior Data Analytics Engineer

Data Scientist

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