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Top Remote Senior Level Data & Analytics Jobs in Birmingham, AL

576+ Job Results
3 Hours Ago
USA
Remote
49 Employees
Senior level
49 Employees
Senior level
Fintech
The Operations and Fraud Analytics Lead will utilize advanced analytics to enhance business operations, develop fraud prevention strategies, and optimize profitability, collaborating with various departments to address complex business challenges and improve operational efficiency.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
3 Hours Ago
United States
Remote
190 Employees
Senior level
190 Employees
Senior level
Sales • Software
As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.
3 Hours Ago
United States
Remote
590 Employees
134K-205K Annually
Senior level
590 Employees
134K-205K Annually
Senior level
Healthtech • HR Tech
The Sr. Manager of Analytics at Lyra Health will lead the analytics team in providing scalable reporting, insights, and operational forecasting. Responsibilities include overseeing data analysis, metric definition, dashboard creation, and team management while collaborating with product and tech teams.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+29 More
4 Hours Ago
United States
Remote
300 Employees
125K-155K Annually
Senior level
300 Employees
125K-155K Annually
Senior level
Software
As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.
6 Hours Ago
USA
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
6 Hours Ago
USA
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
6 Hours Ago
USA
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines, collaborate with stakeholders to define requirements, connect systems to the Data Platform, and conduct testing to ensure pipeline performance.
7 Hours Ago
USA
Remote
390 Employees
Senior level
390 Employees
Senior level
Software
The Senior Data Analyst at Dutchie will implement measurement strategies for digital products, collaborate with product and ad-tech experts, create insightful reports and dashboards using SQL, and ensure data quality and availability. The analyst will leverage analytics to improve products and drive action within the company.
Top Benefits:
401-K
Company Equity
Company Outings
+35 More
8 Hours Ago
USA
Remote
684 Employees
Senior level
684 Employees
Senior level
Artificial Intelligence • Information Technology • Consulting
The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. They lead data engineering projects and collaborate with cross-functional teams to enhance data initiatives.
8 Hours Ago
4 Locations
Remote
55 Employees
Senior level
55 Employees
Senior level
Energy
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
8 Hours Ago
4 Locations
Remote
55 Employees
Senior level
55 Employees
Senior level
Energy
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
9 Hours Ago
2 Locations
Remote
71 Employees
Senior level
71 Employees
Senior level
Fintech • Information Technology • Machine Learning • Marketing Tech • Software • Business Intelligence • Big Data Analytics
As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+41 More
17 Hours Ago
USA
Remote
65 Employees
190K-245K Annually
Senior level
65 Employees
190K-245K Annually
Senior level
Productivity • Security • Software • Business Intelligence • Cybersecurity
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
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