Azure Analytics

Azure Analytics Data Jobs

3 jobs found

Today

Lead Data Scientist

Copper Hill Charlotte, NC

Charlotte, NC

Today

Full time Backend Developer Manager Analytics

Apply Now

Job Description

Lead advanced analytics and machine learning initiatives for a SaaS platform in a hybrid role based in Charlotte, NC.

Responsibilities

Lead development of data validation methodologies
Build and lead delivery of predictive models and machine learning solutions
Create training materials explaining Generative AI vs AI writ large
Define data science methodologies and best practices
Mentor data scientists and analysts
Translate business requirements into analytical solutions
Develop machine learning models for classification, regression, clustering, and forecasting
Optimize model performance and accuracy
Establish testing methodologies to measure performance on queries across frontier model providers (e.g., OpenAI, Anthropic, Perplexity, Cohere)
Implement reinforcement learning structures supporting different AI model providers
Develop experimentation frameworks and A/B testing approaches
Collaborate with engineering teams to design scalable data pipelines
Support production deployment of models
Ensure data quality and reproducibility
Partner with Product Management on data-driven product features
Embed machine learning capabilities into the SaaS platform
Design APIs and services that expose model outputs to the application
Develop solutions using Microsoft Azure data services
Work with SQL Server and large structured datasets
Support model deployment and monitoring in cloud environments

Requirements

7+ years of experience in data science or machine learning
Experience deploying machine learning models into production systems
Strong experience with Python or R, SQL, and machine learning frameworks

Technologies

Microsoft Azure
SQL Server
C#
Angular
Python
R
OpenAI
Anthropic
Perplexity
Cohere

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Work Location

Hybrid remote in Charlotte, NC

Reports To

Vice President of Engineering

Employment Type

Full-Time

Preferred Experience

Experience with Azure Machine Learning or cloud ML platforms
Experience working with enterprise datasets or SaaS platforms
Advanced degree in Data Science, Computer Science, Statistics, or related field

View full job page →

5d ago

Data Analytics Engineer

Collins Aerospace Santa Isabel, Puerto Rico 📍 Santa Isabel Remote

Santa Isabel, Puerto Rico

5d ago

Full time Azure Analytics Azure Data Lake Big Data

Apply Now

Job Description

This Data Analytics Engineer role focuses on building dependable data pipelines, models, datasets, and analytics solutions that support business performance and AI/ML initiatives.

Responsibilities

Design, build, and maintain reliable, scalable data pipelines, data models, and curated datasets for analytics, reporting, decision-making, and AI/ML use.
Integrate, transform, standardize, and validate data from diverse, non-standard sources including enterprise applications, spreadsheets, databases, text files, APIs, and operational data sources.
Develop and maintain data visualization, statistical analysis, reporting, and analytical solutions to improve understanding of enterprise and infrastructure data.
Establish and improve data quality, validation, monitoring, governance, documentation, and data management practices for trusted and reusable data.
Partner with customers and stakeholders to understand business and operational needs, spot opportunities for improvement, and translate requirements into practical data and analytical solutions.
Independently lead projects using appropriate software development and agile practices, covering requirements and solution design through development, testing, implementation, and continuous improvement.
Create and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures.
Provide data engineering and analytical support for AI/ML initiatives, including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions.
Collaborate cross-functionally across IT and operations, providing technical guidance, peer review, and mentoring within the Data & Insights team.
Apply information security, information assurance, governance, privacy, and compliance requirements across data, analytics, and AI/ML activities.
Use written work instructions as guidance for daily job activities.

Requirements

Education: University Degree (or equivalent experience); Advanced Degree in a related field (alternative).
Experience: Minimum 8 years prior relevant experience (or 5 years with an Advanced Degree in a related field).
5+ years of experience in data engineering, data analytics, business intelligence, or a related technical discipline.
Hands-on experience with Python and SQL, including PySpark or comparable distributed data-processing technologies.
Proven experience designing and developing production-quality data pipelines, data models, ETL/ELT, and data integration solutions.
Experience with data quality, data governance, data warehousing, data modeling, and modern cloud data architectures.
Ability to analyze complex datasets, develop meaningful metrics and visualizations, and translate results into actionable insights and recommendations.
Experience independently owning technical projects and delivering solutions with limited day-to-day direction, including working through ambiguous or complex problems.
Experience structuring and curating data to support machine learning, AI/ML, advanced analytics, or other data science applications.

Technologies

Python
SQL
PySpark
ETL/ELT
Azure
Databricks
Snowflake
Delta Lake
Power BI
ServiceNow/ITSM data
Git/CI/CD

Benefits

Healthcare
Wellness
Retirement
Work/life benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care

U.S. Citizenship Requirements

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance

None/Not Required

Location and Remote Details

Remote role (primarily offsite from home).
Successful candidate must be currently living in Puerto Rico.
May be expected to travel to the Santa Isabel site location as needed.

View full job page →

10d ago

BI & Analytics Analyst/Data Engineer

Jewish Council for the Aging of Greater Washington Rockville, MD

Rockville, MD

10d ago

$110k - $132k/yr Full time Analyst Analytics Azure Analytics

Apply Now

Job Description

The BI & Analytics Analyst/Data Engineer is responsible for engineering, development, support, and management of data and analytics solutions across the agency. This hybrid role splits time evenly between business intelligence delivery and hands-on data engineering, with ownership of the end-to-end analytics lifecycle and development of self-service Power BI reporting.

Responsibilities

Partner with IT business stakeholders and operational leaders to design analyses that identify opportunities for improvement in care, assess adherence to clinical best practices, and measure outcomes.
Help ensure agency data repositories provide consistent, reusable data by collaborating with key staff to develop, implement, and advise on data standards and best practices.
Promote best-practice knowledge and enable business stakeholders to conduct self-service analysis rather than relying on IT-owned development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business needs into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support a data-literate culture across the agency.
Use technical tools to query, manipulate, and summarize data from multiple data sources.
Assist in designing, developing, maintaining, and updating databases to meet department and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregate layers.
Write and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
Develop and maintain source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support self-service analytics adoption by building clean, well-documented datasets.
Document current data architecture, define logical and physical data, and establish an agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and associated components.
Define operational monitoring and alerting tools to ensure trusted, high-quality data flows from source systems to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement, and manage a master data management solution for client and employee subjects, including defining data quality standards and operational data quality processes with stakeholders.

Requirements

Bachelor’s degree required; Master’s degree highly preferred.
5-7+ years of experience in a BI, analytics, or data engineering role.
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization.
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
Hands-on experience with Wherescape OLAP; experience with alternative OLAP solutions including Azure Analysis Service, Azure Data Lake, and Azure Synapse Analytics.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts (Kimball methodology a plus).
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and creating business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfortable working across the full analytics stack, from raw source data to end-user reporting.
Strong communication skills, including explaining data concepts clearly to non-technical stakeholders.
Advanced skill set with the Microsoft Office suite (Power BI), SQL, and experience with EMR systems (hospice, homecare, and/or mental health) desired.

Technologies

SQL Server, T-SQL, ETL
Power BI, DAX, Power Query
Wherescape OLAP, Wherescape RED
Azure Analysis Service, Azure Data Lake, Azure Synapse Analytics
Python
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)
EHR data, EMR systems
Master data management

Job Details

Location: Rockville, MD (Hybrid)
Experience: 5+ years
Salary: USD 110,000 - 132,000 per year

View full job page →

Azure Analytics Data Jobs

Lead Data Scientist

Data Analytics Engineer

BI & Analytics Analyst/Data Engineer

Get Azure Analytics Data Jobs alerts