Microsoft

Microsoft Data Jobs

30 jobs found

Today

Data Analyst

Innovative Technologies Corporation Arlington, VA

Arlington, VA

Today

$99k - $130k/yr Contract Analyst Analytics Business Analytics

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Job Description

Innovative Technologies Corporation offers an onsite contract Data Analyst role in the Pentagon, within the National Capital Region. The position supports Air Force Mission Assurance risk management, analysis, and decision-support data activities onsite. It carries a salary range of USD 99,000 to 130,000 per year and a benefits package designed to support professional growth and stability in a defense-focused environment.

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Professional development assistance
Tuition reimbursement
Vision insurance

Responsibilities

Collect, structure, validate, and maintain assessment data
Support data quality, normalization, traceability, and version control
Manage data from Mission Assurance assessments and related sources
Support integration into Government-designated data platforms
Analyze Mission Assurance risk, assessment, and operational data
Prepare tasking packages, staffing products, and decision-support materials
Develop courses of action, risk-mitigation analyses, and ROI-based recommendations
Support dashboards, reporting, modeling, and executive-level analysis

Requirements

B.A. or B.S. degree in any field or major
Three to ten years of work experience in any career field, discipline, or industry
Currently a legal citizen of the United States
Ability to perform all functional duties independently
Experience collecting, structuring, validating, managing, analyzing, or visualizing data
Experience preparing analytical findings, staffing materials, tasking packages, or decision-support products
Ability to obtain the Palantir Foundry Application Developer Certification within 90 calendar days after contract award and retain the certification for the duration of the contract
Expertise in oral and written English communications skills
Advanced skills in the Microsoft Office environment is essential (Word, PowerPoint, Excel, Teams, SharePoint)

Technologies

Palantir Foundry
SQL
Python
Power BI
Tableau
Excel
Word
PowerPoint
Teams
SharePoint
Jira
Confluence
Mattermost

Location

Pentagon, DC (onsite)

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Today

Senior Analytics Engineer

Motion Picture Industry Pension & Health Plans Los Angeles, CA

Los Angeles, CA

Today

$125k - $145k/yr Full time Senior Analytics Business Analytics

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Job Description

The Senior Analytics Engineer will join MPI's IT department to design, develop, and support enterprise analytics and business intelligence solutions. This hybrid role is based in Los Angeles, CA, with a salary range of USD 125,000 to 145,000 per year.

Responsibilities

Create interactive Power BI datasets, dashboards, reports, and narratives that are intuitive for end users.
Construct and sustain ETL/ELT pipelines leveraging SSIS, Alteryx, and Microsoft Fabric.
Engineer and optimize complex SQL queries, views, and stored procedures.
Develop and manage Alteryx workflows and analytic applications.
Deliver daily operational and production support for Power BI, Alteryx, and other BI solutions, including dashboards and reports.
Ensure data quality, reliability, performance, and scalability across analytics platforms.
Implement data governance, lineage, sensitivity labeling, and compliance controls via Microsoft Purview.
Ensure HIPAA and other applicable regulatory compliance in data usage and access.
Collaborate with business users and IT counterparts to translate requirements into effective analytics solutions.
Communicate clearly with both technical and non-technical stakeholders via written, verbal, and formal presentations.
Engage in design discussions and peer review sessions within the team.
Maintain up-to-date knowledge of BI and data analytics trends, tools, and best practices.

Requirements

At least seven years of hands-on experience as a SQL developer or data analyst.
Bachelor's or master's degree in computer science, business administration, information systems/technology, or an equivalent combination of education and experience.
Strong analytical and problem-solving abilities, capable of thriving in a dynamic, fast-paced setting.
Extensive experience constructing and maintaining data pipelines using Microsoft Fabric, including data modeling and transformation with Fabric Lakehouse/Warehouse.
Experience documenting data models, reports, and pipeline logic, with solid understanding of data warehousing concepts and best practices.
Extensive Power BI experience, covering data preparation, data modeling, DAX, report optimization, and the development and maintenance of paginated reports via Power BI Report Builder for operational and detailed reporting needs.
Proficient with Alteryx, including workflow development, optimization, and ongoing operational support.
Experience maintaining and supporting SSIS packages.
Experience administering and supporting Alteryx Server, including upgrades, MongoDB backups, and issue resolution.
Advanced Microsoft Excel skills for data analysis and trend identification.
Proven track record providing production support for BI and analytics solutions.
Excellent verbal and written communication skills, with ability to interact effectively across all organizational levels.
Strong attendance and reliability, with willingness to work extended hours as needed.
Ability to accept direction and constructive feedback from supervisors.
Experience in regulated sectors such as insurance, healthcare, or financial services is preferred.
Experience supporting self-service BI and governed analytics environments, with familiarity in modern data governance and compliance preferred.

Technologies

Microsoft Fabric
Power BI
Alteryx
SSIS
Microsoft Purview
Fabric Lakehouse/Warehouse
DAX
Power BI Report Builder
MongoDB
Microsoft Excel
SQL

Benefits

Free medical, dental, and vision coverage
Generous paid time off
Retirement benefits
Professional development opportunities

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4d ago

Human Resources Data Analyst

BRISTOL COUNTY SAVINGS BANK New Bedford, MA

New Bedford, MA

4d ago

$60k+/yr Part time Analyst Analytical Skills Analytics

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Job Description

Part-time onsite HR Data Analyst position in New Bedford, MA at Bristol County Savings Bank, offering a USD 60,000 annual salary and a focus on collecting, analyzing, and interpreting HR data to support strategic decision-making.

Responsibilities

Deliver high level customer service and responsiveness within approved authority to the organization and community served.
Gather, examine, and interpret HR data from multiple sources, including payroll, performance reviews, and employee surveys.
Design and maintain data dashboards and reports to monitor core HR metrics and surface trends.
Perform in-depth data analyses to back HR initiatives such as talent acquisition, employee development, and compensation structures.
Partner with HR professionals to implement data-driven solutions addressing HR challenges.
Ensure data accuracy through regular audits and quality checks, including creation and maintenance of a quality-control schedule.
Keep current with HR analytics best practices and evolving industry trends.

Requirements

Bachelor's degree in Human Resources, Business Analytics, Statistics, or a related field.
Proficiency with data analysis tools such as Excel, Power BI, Python, Tableau, Microsoft Fabric, and other statistical software.
Experience working with and interpreting HR data, trends, and key metrics.
Strong analytical and problem-solving abilities.
Meticulous attention to detail and accuracy.
Ability to work independently while building collaborative relationships with the HR team.
Excellent communication and interpersonal skills.

Technologies

Excel
Power BI
Python
Tableau
Microsoft Fabric

Other Accountabilities

Additional duties as required within the HR department.

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6d ago

SAP Data Analyst

Eaton Santa Ana, CA

Santa Ana, CA

6d ago

$71k - $105k/yr Full time Analyst Analytics Business Analytics

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Job Description

Eaton seeks a SAP Data Analyst in Santa Ana, CA to analyze data, build dashboards, and support supply chain and inventory processes using SAP and analytics tools to drive continuous improvement.

Responsibilities

Collect, analyze, and interpret large datasets to uncover trends and actionable insights that boost operational efficiency and informed decision making
Develop and maintain dashboards, reports, and data visualizations to clearly communicate findings to stakeholders
Analyze inventory and supply chain data to support strategic initiatives and ensure alignment with organizational goals
Collaborate with cross functional teams to design data driven solutions for process improvement and cost optimization
Provide data insights to support daily operations, improving accuracy and timeliness in replenishment, cycle counting, and inventory management
Document new processes and implement training to sustain improvements
Identify root causes within supply chain and operations data and recommend corrective actions
Drive continuous improvement by leveraging data to streamline processes and reduce inefficiencies
Monitor KPIs and assess progress toward targets, offering recommendations for optimization
Participate in materials related projects, applying data analytics to optimize inventory, product flow, and resource utilization
Other duties as assigned
Limited travel may be required, up to 10%

Requirements

Bachelor’s degree from an accredited institution OR High School Diploma/GED with a minimum of three years in manufacturing, supply chain, or production experience
Minimum of one year SAP experience in a manufacturing plant

Technologies

Excel
SAP
Power BI
Tableau
MS Office

Benefits

Health and welfare benefits
Retirement benefits
Paid and unpaid time away from work

What you’ll do

Collect, analyze, and interpret large datasets to uncover trends and actionable insights that improve operational efficiency and decision making
Develop and maintain dashboards, reports, and data visualization tools to communicate findings to stakeholders
Perform inventory and supply chain data analysis to support strategic initiatives and ensure alignment with organizational goals
Collaborate with cross functional teams to design and implement data driven solutions for process improvement and cost optimization
Support daily operational activities by providing data insights that enhance accuracy and timeliness in replenishment, cycle counting, and inventory management
Document new processes and incorporate systematic training to ensure sustainable improvements
Analyze supply chain and operational data to identify root causes of issues and recommend corrective actions
Drive continuous improvement initiatives by leveraging data to streamline processes and eliminate inefficiencies
Monitor KPIs and self-assess progress toward targets, providing recommendations for improvement
Participate in materials related projects as assigned, applying data analytics to optimize inventory, product flow, and resource utilization
Other duties as assigned
Limited travel may be required

THIS ROLE COULD BE THE NEXT STEP IN YOUR CAREER IF YOU DEMONSTRATE THE FOLLOWING EXPERIENCE

Bachelor’s degree or equivalent with three years in manufacturing, supply chain, or production
At least one year of SAP experience in a manufacturing environment

YOU WILL SET YOURSELF APART BY DEMONSTRATING

Three or more years of SAP experience in a manufacturing plant
Experience with Power BI, Tableau, and SAP
General knowledge of ERP and procurement processes
Lean manufacturing experience
Proficiency with MS Office, including advanced Excel capabilities

WE WILL NOT CONSIDER CANDIDATES WHO

No relocation is offered; only candidates within a 50 mile radius of Santa Ana, CA will be considered. Active Duty Military Service member candidates are exempt from the geographic constraint
Eaton does not sponsor immigration filings for this role (no CPT, OPT, STEM OPT, H-1B, or other visa sponsorship)

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7d ago

Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte Miami, FL

Miami, FL

7d ago

$103k - $189k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

This onsite role in Miami, FL centers on leading AI and analytics initiatives within Deloitte's Finance FP&A function, with a salary range of USD 102,500 to 188,900 per year. The Lead Data Scientist GenAI for Strategic Analytics will design and deploy AI and ML solutions, develop data pipelines, and drive generative AI programs, drawing on at least four years of experience and Python proficiency.

Responsibilities

Design, develop, and deploy AI, machine learning, and advanced analytics solutions to meet stakeholder needs.
Build and maintain scalable data pipelines, APIs, and model deployment workflows within cloud environments.
Collaborate with finance, strategy, and operations teams to translate business requirements into technical solutions and actionable insights.
Contribute to generative AI use cases, prototypes, and production-ready products aligned with strategic priorities.
Monitor performance, maintain comprehensive technical documentation, and identify opportunities to improve reliability, efficiency, and adoption.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field.
4+ years of experience in data science, machine learning engineering, data engineering, or software engineering.
3+ years of experience developing solutions using Python.
2+ years of experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
2+ years of experience using SQL and working with relational or distributed data platforms.
Ability to travel 0-10 percent on average, based on client engagements.
Limited immigration sponsorship may be available.

Technologies

Python
Amazon Web Services
Microsoft Azure
Google Cloud Platform
SQL
Tableau
Power BI

Benefits

Discretionary annual incentive program

The Team

Strategic Analytics operates within Deloitte's Finance FP&A organization, supporting executive leadership and stakeholders across financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

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7d ago

Senior Analytics Engineer (Marketing)

Ledgent Technology New York, NY

New York, NY

7d ago

$58 - $91/hr Contract Marketing Senior Analytics

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Job Description

Ledgent Technology seeks a Senior Analytics Engineer for Marketing to design and deliver complex dashboards and automated reporting for the Marketing Analytics organization. The role oversees end-to-end BI deliverables, including data acquisition and platform integrations. This contract position is onsite in New York, NY, with a contract-to-hire path through Roth Staffing; alternative locations include NYC or Bethesda, MD.

Compensation

Hourly rate: USD 58 - 91 per hour

Responsibilities

Create and maintain sophisticated dashboards featuring interactive elements, applying visualization best practices to ensure usability and stakeholder clarity.
Develop and maintain complex SQL queries and Python-based automation to support reliable data extraction, transformation, QA checks, and scheduled reporting; manage shared codebases in Git or Azure DevOps, following team standards for commits, reviews, and documentation.
Implement automated reporting pipelines and repeatable delivery patterns to reduce manual effort and increase reliability.
Independently source and integrate datasets; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
Clarify vague requirements by asking the right questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
Collaborate with Marketing and enterprise stakeholders to support MarTech data acquisition strategies, including tagging/collection requirements and platform integrations, to improve availability and usability of marketing datasets for reporting and analytics.
Perform strong self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
Present BI outputs and insights to stakeholders with a clear narrative, explaining assumptions, limitations, and tradeoffs.
Mentor entry-level BI engineers on tools, best practices, documentation, and stakeholder communication.
Manage projects concurrently, accurately scoping timelines and proactively flagging risks.
Demonstrate a growth mindset by incorporating feedback, pursuing learning opportunities, and continuously elevating BI craftsmanship through iteration.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or a related field.
5+ years of experience in BI or analytics engineering or a closely related domain; exceptions may be considered at the company’s discretion for candidates demonstrating exceptional aptitude in other core skill areas.
Expert SQL skills; advanced experience with BI tools such as Tableau, Power BI, and Looker.
Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
Strong communication skills with experience translating stakeholder needs into technical specifications.

Technologies

SQL, Python, Git, Azure DevOps
Tableau, Power BI, Looker, LookML
MetricFlow, dbt
Snowflake
Google Analytics
Campaign Manager 360 (CM360), SA360
Salesforce

Role Summary

The Marketing department seeks an experienced BI professional to join the Marketing Analytics team as a Senior Analytics Engineer focused on Business Intelligence. The role builds complex dashboards and automated reporting solutions, translates stakeholder questions into technical specifications, and ensures outputs are accurate, well-structured, and aligned to definitional standards.

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9d ago

Sr. Data Analytics Engineer

Thomas Edwards Group Inc. Midlothian, VA

Midlothian, VA

9d ago

$170k+/yr Full time Senior Analytics Azure Synapse Analytics

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Job Description

The Senior Analytics Engineer will lead modernization of the enterprise data platform, designing and deploying a scalable data warehouse, consolidating legacy reporting into a governed, centralized environment, and owning the analytics platform, data pipelines, governance framework, and Power BI reporting on-site in Midlothian, VA, with a salary of USD 170,000 per year.

Responsibilities

Evaluate and deploy a modern cloud data platform such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or a comparable solution.
Design and maintain ETL/ELT pipelines that integrate data from multiple ERP and business systems.
Develop scalable data models and establish enterprise data standards and governance practices.
Standardize reporting using Power BI and retire legacy reporting tools.
Oversee data security, access controls, and documentation.
Collaborate with business and technical stakeholders to deliver reliable, reusable reporting solutions.
Support ERP initiatives and the integration of newly acquired business units.

Requirements

Minimum five years of analytics or data engineering experience.
Hands-on experience designing and implementing modern data warehouse solutions.
Proficient in ETL/ELT processes, SQL, data modeling, and Power BI.
Experience establishing data governance and data quality programs.
Ability to evaluate technology platforms and propose scalable data solutions.
Experience working with complex, multi-source or multi-entity data environments.