Business Analytics

Business Analytics Developer Jobs

138 jobs found

Today

Data Engineer – Power BI

Intone Networks Remote 🌍 Remote

Remote

Today

Full time Analytics Business Analytics Business Intelligence

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Job Description

Intone Networks is seeking a remote Data Engineer with Power BI expertise to design, build, and optimize reports, data models, and analytical solutions with performance tuning and row level security.

Responsibilities

Create and maintain advanced Power BI reports and dashboards that meet business needs.
Architect and optimize complex data models using star and snowflake schemas.
Develop efficient DAX measures, calculated columns, and Power Query (M) transformations.
Collaborate with business stakeholders to capture requirements and deliver analytical solutions.
Tune report performance and implement row level security (RLS).

Requirements

Eight to ten years of hands-on experience in Power BI development and data modeling.
Deep proficiency with Power BI Desktop, Power BI Service, DAX, Power Query (M), and data modeling concepts.
Practical experience writing SQL and working with relational databases.
Strong understanding of dimensional modeling using star and snowflake schemas.
Experience optimizing performance, tuning reports, and implementing Row-Level Security (RLS).
Strong analytical, problem-solving, and communication skills.

Technologies

Power BI Desktop
Power BI Service
DAX
Power Query (M)
SQL
Relational databases
Star Schema
Snowflake Schema

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Today

Data Engineer Senior - Level 3

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

Today

Full time Senior Analytics Big Data

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Job Description

As a Senior Data Engineer - Level 3 based in Fort Worth, TX with a hybrid work arrangement, you will convert diverse data into actionable insights and develop data products and models to inform spares management, repairs, and long-term sustainment decisions for the IFG Sustainment Program.

Responsibilities

Gather and curate data from multiple internal and external sources to support spares modeling and performance metrics.
Examine data and apply analytical logic to create supply chain models that inform strategic decisions.
Work closely with the F-22 Sustainment Program Office (SPO) and stakeholders to align data initiatives with fleet performance objectives.
Produce standardized and ad-hoc reports for senior leadership, delivering insights that translate into measurable outcomes.
Lead efforts in performance-based supply analysis and visualization to optimize operations and reduce costs.
Collaborate with engineering, logistics, and analytics teams to ensure data accuracy, consistency, and relevance.

Requirements

Proficiency with Databricks, SAP HANA, Oracle, or SQL Server, including relational database concepts and SQL dialects (SQLScript, PL/SQL, Transact-SQL) for procedures, functions, and views, plus ETL and data warehousing principles.
Experience with Tableau, IBM Cognos, or other data visualization tools.
Experience in data mining and cleansing, identifying and correcting data quality issues to ensure accuracy, consistency, and completeness.
Strong problem-solving and troubleshooting abilities to resolve complex technical issues.

Technologies

Databricks
SAP HANA
Oracle
SQL Server
SQL
SQLScript
PL/SQL
Transact-SQL
Tableau
IBM Cognos
Python
VBA
GOLD
SAP (ERP)
PRIDE

Benefits

Flexible schedules, dependent on role
Competitive pay
Comprehensive benefits
Part-time Remote Telework

Security Clearance Statement

This position requires a government security clearance, and candidates must be U.S. citizens for consideration.

Clearance Level

Secret

Experience Level

Experienced Professional

Business Unit

AERONAUTICS COMPANY

Relocation Available

Possible

Career Area

Logistics

Type

Full-Time

Shift

First

Other Important Information You Should Know

This position is in Fort Worth, TX
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. If a match is identified, you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework. The employee will work part of their schedule remotely and part at a designated Lockheed Martin facility; the weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports various alternate work schedules offering flexibility. Some schedules are standard 40 hours over five days, while others may be condensed to provide additional time away from the office, in addition to Paid Time Off benefits.
Schedule for this Position: 4x10 hour days, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates are considered without regard to legally protected characteristics.
The application window closes in 90 days; applicants are encouraged to apply within 5 to 30 days of the requisition posting date for optimal consideration.

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Today

Staff Data Engineer

Dexcom Remote 🌍 Remote

Remote

Today

$129k - $214k/yr Full time Analytics Artificial Intelligence Business Analytics

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Job Description

Join Dexcom and be part of a team that enables life changing CGM technology. This remote role places you at the forefront of manufacturing data systems while offering a comprehensive benefits program, global growth opportunities, and robust career development. You will collaborate across functions, contribute to a forward looking data platform, and engage with a supportive community of professionals in the Dexcom Warriors network.

Benefits

A front row seat to life changing CGM technology and the Dexcom Warriors community
A full and comprehensive benefits program
Opportunities for growth on a global scale
Career development through in house learning programs and tuition reimbursement
An innovative, employee focused organization committed to our people, customers, and communities

Responsibilities

Design, develop, and maintain SQL database systems that support manufacturing operations
Optimize and monitor MS SQL Server databases, ETL/ELT integrations, CDC, replication, and GCP components including BigQuery, DBT data models, and Iceberg archival to ensure performance and availability
Drive database best practices and support data modernization initiatives by adopting advancing technologies such as AI and MCP
Develop and maintain monitoring tools and processes to proactively identify and address database issues
Implement and maintain ETL/ELT processes, data warehousing, and replication solutions to provide near real time data solutions globally for efficient storage and retrieval
Collaborate with cross functional teams to gather requirements, design systems, and implement database solutions including stored procedures, schema design, data contracts for APIs, and a data dictionary to support manufacturing software
Work with the Microsoft SQL Server stack and the GCP stack (SSIS, SSRS, PowerBI, PolyBase, BigQuery, Datastream, Cloud Storage, BigLake Iceberg tables, Cloud SQL, DBT)
Partner with R&D, Operations, Process Engineering, Quality Assurance, Contract Manufacturers, and other stakeholders to enable data access for reporting and integration
Collaborate with IT security to maintain PKI HSMs used for key management and cryptographic operations, assisting in configuration, installation, and ongoing maintenance
Document solutions and train DBA teams on common issues and best practices

Requirements

Ability to prioritize and execute tasks in a high pressure environment
Detail oriented with a commitment to maintaining updated documentation
Working knowledge of data management tools such as Jira, Jama, and Confluence
Strong written and spoken English communication
Creative problem solver with careful attention to detail
5+ years of experience with Microsoft SQL Server and fluent in SQL Server 2012+
DBA experience or solid understanding of DBA best practices and replication
Nice to have: experience with BigQuery, Iceberg, DBT, open table formats or similar technology; knowledge of VMware and SQL Server 2022
Nice to have experience with Siemens Camstar

Technologies

Microsoft SQL Server, SSIS, SSRS, PowerBI, PolyBase
BigQuery, DBT, Datastream, Cloud Storage, BigLake
Apache Iceberg, Cloud SQL, AI, MCP
Jira, Jama, Confluence, VMware, Siemens Camstar
SQL Server 2012+

Remote Workplace

Your home office serves as your primary workspace. A hybrid arrangement may be available if you reside within commuting distance of a Dexcom site. Flex workplace options can be discussed.

Travel

Travel is expected to be 0 to 5 percent of time.

Experience and Education

Typically, candidates hold a technical degree with multiple pathways to senior roles: a PhD with 2 to 4 years of related experience; a Master’s degree with 5 to 7 years; or a Bachelor’s degree with 8 to 12 years of related experience. A PhD is noted as part of the education requirements for this role.

Salary

USD 128,600 to 214,400 per year.

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1d ago

Senior Software Engineer

Serco North America Herndon, VA

Herndon, VA

1d ago

$104k - $173k/yr Full time Senior Automation Azure

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Job Description

A senior software engineer role in Herndon, VA (hybrid) with Serco North America, focusing on Microsoft Power Platform for Navy programs; active U.S. Secret clearance and up to 10% travel required.

Responsibilities

Design, develop, test, deploy, and maintain Power Apps (canvas and model‑driven), Power Automate flows, and Power BI dashboards to support Navy mission and administrative workflows.
Integrate Power Platform solutions with DoN systems using Flankspeed approved connectors and patterns; implement secure APIs and middleware as needed.
Ensure compliance with Department of Navy security policies, STIGs, accreditation/ATO requirements, and data handling rules within Flankspeed enclaves.
Implement Dataverse data models, manage connectors (SharePoint, SQL, and custom connectors), and design secure data access and role‑based security.
Lead solution validation, unit and integration testing, user acceptance testing, and support production cutover and sustainment activities.
Troubleshoot production incidents, monitor performance, and perform tuning or refactoring as required.
Participate in design reviews and contribute to architectural discussions.
Produce documentation, runbooks, training materials, and deliver user training for stakeholders and administrators.
Mentor junior engineers to develop skills and foster a collaborative engineering environment.

Requirements

Active U.S. Secret security clearance.
High School Diploma or GED.
5+ years of hands‑on experience delivering production solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI).
Understanding of DoN/DoD cybersecurity requirements and data classification handling.
Strong stakeholder communication, documentation, and collaboration skills; experience working with military and civilian personnel.
Ability to travel up to 10%.

Technologies

Power Apps, Power Automate, Power BI, Dataverse
SharePoint, SQL, custom connectors
Flankspeed, Power Fx
JavaScript/TypeScript, PowerShell
Azure Functions, AD/Azure AD

Benefits

Medical, dental, and vision insurance
Robust vacation and sick leave, with flexible work arrangements where permitted
401(k) plan with employer matching funds
Tuition reimbursement program
Life insurance and disability coverage
Optional coverages including pet, home and auto, additional life and accident, critical illness, group legal, ID theft protection
Birth, adoption, and parental leave benefits
Employee Assistance Plan

Compensation

Salary: USD 103,977 - 173,296 per year

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1d ago

AI Platform Data Engineer, Ring Agent Platform Org

Amazon.com Services LLC Hawthorne, CA

Hawthorne, CA

1d ago

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

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Job Description

Amazon.com Services LLC is seeking an AI Platform Data Engineer within the Ring Agent Platform Organization in Hawthorne, California. This role focuses on building scalable data platforms and AI-ready datasets to enable subscription lifecycle analytics, monitor service performance, and empower self-service reporting. The position is onsite and offers a salary range of USD 132,100 - 178,800 per year, with a requirement for a Master’s degree and at least 3 years of data engineering experience.

Responsibilities

Create and operate scalable, privacy- and security-conscious data pipelines, curate AI/ML-ready datasets, and support AI-native self-service data platforms.
Collaborate with teams across Subscription, Finance, and Monitoring Services to gather requirements and deliver data solutions.
Develop and maintain curated datasets to enable analysis of customer lifecycles, churn indicators, and service health metrics.
Design and run data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency.
Contribute to self-service data platforms that empower stakeholders to access and explore subscription and monitoring data.
Implement data governance components, including data classification, PII detection, and data lineage tracking.
Support collaborative sessions that help stakeholders understand and adopt data capabilities.

Requirements

At least 3 years of data engineering experience.
Experience with SQL.
Experience with data modeling, data warehousing, and building ETL pipelines.
Experience building and operating highly available, distributed systems for extracting, ingesting, and processing large data sets.
Experience developing, deploying, and managing AI products at scale.
Education: Master’s degree (required).

Technologies

SQL
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
QuickSight
Tableau
Power BI
Internal Amazon tools
AWS services

Benefits

Health insurance (medical, dental, vision, prescription)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Life insurance (Basic Life & AD&D, optional Supplemental life plans)
Employee Assistance Program (EAP)
Mental Health Support
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
Medical Advice Line

About the Team

The Agent Platform Organization leads Ring's evolution toward an AI-powered operating model. The team addresses cross-organizational data models, develops governance frameworks, provides direct Business Intelligence support across multiple teams, and builds customer-facing and internal tools that speed decision making and improve accuracy across the organization.

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2d ago

Data Engineer- Data Science Focus, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

2d ago

$111k - $185k/yr Full time Ad Tech Analytics Business Analytics

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Job Description

Entry-level Data Engineer with a Data Science focus supporting Amazon Ads analytics, collaborating with product and engineering to define data logging and KPIs. This onsite role is based in Palo Alto, CA, with a salary range of USD 111,400 to 185,000 per year and a minimum of 1 year of experience.

Responsibilities

Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals
Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps
Formalize our analytics approach to Ads auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes
Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities
Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps
Validate financial models through analysis
Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives

Requirements

1+ years of data engineering experience
Experience with SQL
Experience with data modeling, warehousing and building ETL pipelines

Technologies

SQL
Python
R
GitHub

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans)
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Description

We are seeking a recent college graduate (undergrad) who has traversed their academic career learning and experimenting with AI. We want you to bring this new way of thinking to Amazon Ads! You will use these skills to further the development and application of analytics methods to examine the complex data flows of Amazon Ads and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the perf

A Day in the Life

The Ads Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.

About the Team

The Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.

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2d ago

Data Engineer II

Amazon.com Services LLC Austin, TX

Austin, TX

2d ago

$132k - $179k/yr Full time Analytics AWS Big Data

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Job Description

The Data Engineer II role is based onsite in Austin, Texas, within Amazon.com Services LLC. It focuses on designing scalable ETL/ELT pipelines and AI-ready data infrastructure to power AI-driven operational insights across Amazon's global fulfillment and maintenance networks. This individual contributor position emphasizes delivering robust data products and practices that enable automated reporting, diagnostics, and analytics across worldwide operations. Compensation ranges from USD 132,100 to 178,800 per year.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and scalable data infrastructure supporting OTS operational intelligence.
Create feature engineering workflows and ML-ready data pipelines to support data science experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

3+ years of data engineering experience
3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
Experience with data modeling, warehousing, and building ETL pipelines
Experience working on and delivering end-to-end projects independently

Technologies

SQL
C++
C#
Java
Python
Golang
PowerShell
Ruby
Kafka
Kinesis
Flink
Storm
Beam

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Preferred Qualifications

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

$90k - $150k/yr Full time Manager Analytics Business Analytics

6d ago

Tableau Developer

Houston, TX

13d ago

$80k - $110k/yr Full time Senior Analytics Azure Data Factory

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