Business Analytics

Business Analytics Engineer Jobs

160 jobs found

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

Senior Data Engineer - Level 3 for Lockheed Martin Aeronautics in Fort Worth, TX, with a hybrid work arrangement. This role focuses on transforming data into mission-critical insights and delivering data products and models to support spares, repairs, and long-term sustainment decisions for the IFG Sustainment Program.

Responsibilities

Scope and consolidate data from diverse internal and external sources to support spares modeling and performance metrics.
Analyze data and apply logical methods to develop supply chain models that guide strategic decision-making.
Collaborate closely with the F-22 Sustainment Program Office (SPO) and key stakeholders to align data initiatives with fleet performance goals.
Deliver both repeatable and ad hoc reports to senior leadership, offering insights that drive tangible results.
Champion performance-based supply analysis and visualization efforts to optimize operations and reduce costs.
Partner across engineering, logistics, and analytics teams to ensure data accuracy, consistency, and relevance.

Requirements

Experience with Databricks, SAP HANA, Oracle, or SQL Server, including relational database principles and SQL variants (SQLScript, PL/SQL, Transact-SQL) in support of Procedures, Functions, and Views; familiarity with ETL and data warehousing principles.
Experience with Tableau, IBM Cognos, or other data visualization tools.
Experience with data mining and cleansing, recognizing and correcting errors/discrepancies and ensuring data accuracy, consistency, and completeness.
Experience with problem solving and troubleshooting/resolving 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

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level

Secret

Location

Fort Worth, TX (hybrid)

Other Important Information You Should Know

Location: 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 these openings.
Ability to Work Remotely: Part-time Remote Telework. The employee selected for this position will work part of their schedule remotely and part of their schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility. Schedules range from standard 40 hours over a five-day work week to condensed schedules that provide additional time away from the office.
Schedule for this Position: 4x10 hour day, 3 days off per week.
Equality: Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
Application Window: The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date to receive optimal consideration.

Experience Level

Experienced Professional

Business Unit

AERONAUTICS COMPANY

Career Area

Logistics

Type

Full-Time

Shift

First

Relocation Available

Possible

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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

Dexcom is seeking a Staff Data Engineer who will design, implement, and maintain SQL-based data systems that support manufacturing operations. This remote role focuses on optimizing data platforms across MS SQL Server and Google Cloud Platform, collaborating with multiple teams to deliver near real-time data solutions.

Responsibilities

Architect, develop, and sustain SQL database systems to support manufacturing operations.
Tune and monitor MS SQL Server databases, ETL/ELT pipelines, CDC, replication, and GCP BigQuery DBT data models, along with Iceberg archival to ensure high performance and data availability.
Advance data modernization initiatives by promoting database best practices and adopting cutting-edge technologies including AI and MCP.
Develop and maintain monitoring tools and processes to proactively identify and address database issues.
Implement ETL/ELT processes, data warehousing, and replication solutions to provide near real-time data access globally for efficient storage and retrieval.
Collaborate with cross-functional teams to gather requirements, design systems, and implement database solutions such as stored procedures, table and schema designs, data contracts for APIs, and a data dictionary to support manufacturing software systems.
Work with Microsoft SQL Server and GCP stacks, including SSIS, SSRS, Power BI, PolyBase, BigQuery, Datastream, Cloud Storage, BigLake tables for Apache Iceberg, Cloud SQL, and DBT.
Coordinate with R&D, Operations, Process Engineering, Quality Assurance, Contract Manufacturers, and other stakeholders to enable data access for reporting and data integration.
Collaborate with the IT security team to maintain PKI hardware security modules (HSM) for key management and cryptographic operations, assisting in configuration, installation, and ongoing maintenance of PKI HSMs to ensure secure operation.
Document solutions and provide training to DBA teams on common issues and best practices.

Requirements

Ability to prioritize and execute tasks in a high-pressure environment.
Detail oriented with the capability to maintain updated documentation.
Working knowledge of data management and related tools such as Jira, Jama, and Confluence.
Strong English written and spoken communication skills.
Creative problem solver with attention to detail.
Minimum 5 years of experience with Microsoft SQL Server, fluent in SQL Server 2012 or newer.
Some DBA experience or familiarity with DBA best practices and replication.
Nice to have experience with BigQuery, Iceberg, DBT, and 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
Power BI
PolyBase
BigQuery
DBT
Datastream
Cloud Storage
BigLake
Apache Iceberg
Cloud SQL
AI, MCP
Jira, Jama, Confluence
VMware
Siemens Camstar
SQL Server 2012+

Benefits

Opportunity to contribute to CGM technology as part of the Dexcom community.
Comprehensive benefits program.
Growth opportunities on a global scale.
Career development through in-house learning programs and eligible tuition reimbursement.
An innovative, industry-leading organization dedicated to employees, customers, and communities.

Travel Required

0-5% travel time.

Experience and Education Requirements

Typically requires a Bachelor’s degree in a technical discipline with 8-12 years of related experience, or a Master’s degree with 5-7 years of equivalent industry experience, or a PhD with 2-4 years of experience.

Remote Workplace

Positions are based in a home office. Living within a 75 mile (120 km) radius of a Dexcom site is not required; hybrid arrangements may be available if you are within commuting distance. Flex workplace options may be discussed.

Salary

USD 128,600 - 214,400 per year.

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Today

Senior Software Engineer

Serco North America Herndon, VA

Herndon, VA

Today

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

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Job Description

Senior Software Engineer role focused on Microsoft Power Platform for Navy programs at Serco North America, based in Herndon, VA with hybrid work options and travel up to 10%.

Responsibilities

Design, develop, test, deploy, and maintain Power Apps (canvas and model-driven), Power Automate flows, and Power BI reports and dashboards for Navy mission and administrative workflows.
Integrate Power Platform solutions with Department of the Navy systems using Flankspeed approved connectors and patterns; build secure APIs and middleware as needed.
Ensure compliance with Department of Navy security policies, STIGs, accreditation and ATO requirements, and data handling rules when deploying solutions in Flankspeed enclaves.
Implement Dataverse data models, manage connectors (SharePoint, SQL, and custom connectors), and design secure data access with role based security.
Perform solution validation, unit and integration testing, user acceptance testing, and support production cutover and sustainment activities.
Troubleshoot production incidents; monitor performance and apply tuning or refactoring as needed.
Participate in design reviews and provide documentation, runbooks, training materials, and user training for stakeholders and administrators.
Mentor junior engineers to support team development.

Requirements

Active U.S. Secret security clearance.
High School Diploma or GED.
5+ years of hands-on experience developing 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; ability to work 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
Generous vacation and sick leave; flexible work arrangements where permitted by role or contract
401(k) plan with employer matching funds
Tuition reimbursement program
Life insurance and disability coverage
Optional coverages: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
Parental leave benefits
Employee Assistance Plan

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Today

AI Platform Data Engineer, Ring Agent Platform Org

Amazon.com Services LLC Hawthorne, CA

Hawthorne, CA

Today

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

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Job Description

Amazon’s Ring Agent Platform is seeking an AI Platform Data Engineer to design and operate scalable data infrastructure that underpins subscription lifecycle analytics, monitors service performance, and enables self-service reporting. This onsite role in Hawthorne, CA offers a salary range of USD 132,100 to 178,800 per year and requires a Master’s degree with at least three years of data engineering experience. You will collaborate with teams across Subscription, Finance, and Monitoring Services to translate needs into data capabilities and ensure governance and security.

Responsibilities

Build and maintain efficient, scalable data pipelines that respect privacy and security, curate datasets for AI/ML use, and support AI-native self-service data platforms.
Partner with stakeholders across Subscription, Finance, and Monitoring Services to gather requirements and deliver data solutions.
Create and maintain curated datasets that support agent-focused analysis of customer lifecycles, churn signals, and service health metrics.
Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency.
Contribute to self-service data platforms enabling stakeholders to access and explore subscription and monitoring data.
Implement data governance components including data classification, PII detection, and lineage tracking.
Lead and participate in collaborative sessions that help stakeholders understand and adopt data capabilities.

Requirements

Three or more 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.
Master's degree.

Technologies

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

Benefits

Health insurance covering medical, dental, vision, and prescription needs
401(k) with company matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Life insurance including Basic Life and AD&D with optional supplemental 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 sits at the forefront of Ring's move toward an AI powered operating model. The team pioneers cross-organizational data models, builds governance frameworks, delivers Business Intelligence support across multiple groups, and creates both customer-facing and internal tools that accelerate and improve decision making across the company.

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1d ago

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

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

1d ago

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

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Job Description

Join a company that values practical impact, comprehensive benefits, and a collaborative culture. This on-site role in Palo Alto offers a salary from USD 111,400 to 185,000 per year, and a benefits package designed to support you and your family. You will be an early‑career Data Engineer with a Data Science orientation, building tools to analyze advertising data, refining bidding and targeting, and evaluating feature releases. Collaboration with product and engineering will shape data logging and KPIs to drive measurable improvements in Amazon Ads analytics.

Benefits

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

What you will do

Analyze data trends related to supply, optimization, ad load, and advertising mix to gauge effects on advertiser performance and help reach advertiser goals
Present analyses to senior leaders on topics such as how feature development influences identity recognition rates and how changes to ad selection impact fill rate, highlighting insights that inform business and engineering roadmaps
Formalize analytics approaches for Ads auctions by examining bid spreads, auction depth, and simulating potential auction structure changes
Identify, standardize, and operationalize KPIs to measure the performance of all ad-serving systems, using trend insights to guide business priorities
Collaborate with engineering teams to define data logging requirements and secure prioritization on engineering roadmaps
Validate financial models through rigorous analysis
Develop and maintain ad revenue and supply intelligence analytics decks for ongoing, in-depth reviews

What we are looking for

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

Technologies you will use

SQL
Python
R
GitHub

A day in the life

As part of the Ads Science Product Team, you will work with business leaders and engineers to develop a cohesive data architecture that enables consistent data logging across varying grains and supports data interoperability from bid flow through optimization to campaign delivery. You will analyze the data and share actionable insights through papers and ongoing reports, guiding decisions across product and engineering functions.

About the team

The Ads Science Product Team aims to apply objective analysis and business logic to uncover insights, inform strategic decisions, and adapt to industry changes. You will contribute to a mission that aligns data-driven recommendations with product development and market dynamics.

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1d ago

Data Engineer II

Amazon.com Services LLC Austin, TX

Austin, TX

1d ago

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

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Job Description

Join Amazon’s OTS Data ANCHOR team as a Data Engineer II and help sculpt the data foundation for AI-driven operational insights across Amazon’s global fulfillment and maintenance networks. Based onsite in Austin, TX, this influential individual contributor role focuses on delivering scalable ETL and ELT pipelines, alongside AI-ready data infrastructure that powers automated reporting, diagnostics, and analytics at scale. The position carries a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and large-scale data infrastructure that support OTS operational intelligence.
Develop feature engineering workflows and ML-ready data pipelines to enable data science experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Assist in implementing GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Create and sustain semantic layers and dashboard data models that inform global operations decisions.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to align work with OTS business goals.
Adhere to and help evolve 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, data warehousing, and building ETL pipelines.
Proven ability to deliver 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
401(k) Plan

Preferred Qualifications

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

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2d ago

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

2d ago

Full time Analyst Analytics Azure Data Lake

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Job Description

JSSA in Rockville, MD is seeking a hybrid BI and Analytics Analyst/Data Engineer to lead the design, development, and management of data and analytics solutions. The role spans end-to-end analytics from SQL Server data warehouse design to self-service Power BI reporting, partnering with IT business teams and data engineers to convert raw data into trustworthy, actionable insights. This position emphasizes data quality, governance, and enabling stakeholders to make informed care decisions.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that reveal opportunities to improve care, assess adherence to clinical best practices, and quantify outcomes.
Help ensure agency data repositories deliver consistent, reusable data by working with key staff to establish, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-driven development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements 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 within the agency.
Leverage technical tools to query, manipulate, and summarize data from multiple 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 aggregates.
Develop and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
Create and own 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 the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data structures, and establish the agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related components.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from sources 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, collaborating with stakeholders to define data quality standards and operational DQ processes.

Requirements

Bachelor’s degree is required; a Master’s degree is 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 solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics is welcome.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts; Kimball methodology is a plus.
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfortable working across the full analytics stack from raw data to end-user reports.
Strong communication skills, with the ability to explain data concepts clearly to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI), SQL, and experience with EMR systems (hospice, home care, and/or mental health) is desirable.