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Top Data & Analytics Jobs in Birmingham, AL
Healthtech • Telehealth
Build and maintain scalable data pipelines, infrastructure, data models, and APIs using Python, SQL, Airflow, Snowflake, dbt, Terraform, and cloud services. Ensure data quality, security, observability, and reliability while collaborating with analysts, product managers, and engineering teams. Own aspects of the FastAPI data service, including design, deployment, monitoring, and performance. Handle sensitive healthcare data in compliance with governance standards.
Top Skills:
AirflowAWSCi/CdDbtDockerFastapiFlaskGCPKubernetesPostgresPythonRbacSnowflakeSQLTerraform
Fintech • Insurance • Financial Services
Leads enterprise data strategy, capability roadmaps, and execution across business and technology teams. Partners with senior stakeholders to translate business needs into data-driven capabilities, define priorities, manage milestones and investments, and ensure alignment with business objectives. Advises on data models, governance, standards, and ecosystem development while facilitating workshops and coordinating distributed teams. Requires extensive data management experience, leadership, executive communication, and familiarity with SQL, BI tools, Salesforce, LiveRamp, and Google Analytics.
Top Skills:
Business IntelligenceData VisualizationGoogle AnalyticsLiverampMaster Data ManagementSalesforceSQL
Cloud • Information Technology • Productivity • Security • Software
Lead pre-sales data engineering engagements to design and implement scalable lakehouse data platforms (Snowflake/Databricks). Advise customers on data strategy, governance, pipelines, AI-ready foundations, migrations, and translate technical solutions into business outcomes while supporting sales and partner enablement.
Top Skills:
Apache AirflowAWSAws RedshiftAws SagemakerAzureAzure AiAzure Data FactoryAzure SynapseCi/CdClaudeCopilotData ObservabilityDatabricksDatabricks Mosaic AiDbtDelta LakeDevOpsDynamic TablesEvent HubsGleanGoogle BigqueryGCPGoogle Vertex AiInfrastructure As CodeKafkaLakeflowLakehouseLineage ToolingMetadata ManagementNvidia NimPythonSnowflakeSnowflake CortexSnowflake Cortex CodeSnowparkSQLStreams & TasksUnity Catalog
Artificial Intelligence • Cybersecurity
Build and maintain scalable ELT pipelines, dbt models, semantic layers, and governed product analytics assets. Partner with Data Engineering, Product Engineering, Data Governance, analysts, and product managers to define trusted metrics, monitor data quality, document taxonomies, and support self-service analytics. Translate product usage telemetry into certified metrics for expansion and upsell analysis, while communicating technical concepts to technical and non-technical stakeholders and driving engineering best practices.
Top Skills:
AWSAzureCi/CdDbtGCPGitLookerPower BISQLTableau
Cloud • Information Technology
Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.
Top Skills:
Api SchemasAWSDatabricksMaster Data Management (Mdm)SnowflakeSQL
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Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Leads Planning Analytics and Rapid Analytics teams supporting segmentation, quota planning, territory models, investment optimization, and executive decision-making. Builds rapid, hypothesis-driven analyses and translates complex data into actionable recommendations. Partners with Engineering to develop scalable data foundations, semantic models, governance, self-service analytics, and AI-ready capabilities using Power BI, Fabric, and SQL. Oversees talent development, stakeholder alignment, and strategic analytics consulting across business functions.
Top Skills:
Ai-Enabled WorkflowsCloud Data PlatformsMicrosoft FabricMicrosoft Power BiSemantic ModelsSQL
AdTech
Leads a data engineering team and supervises one Data Engineer while designing, maintaining, and optimizing reliable data pipelines and infrastructure. The role integrates internal and external data sources, supports SaaS analytics dashboards and connected platforms, improves data-store performance, and ensures infrastructure quality, security, and uptime. Requires proficiency in Python, databases, distributed processing, orchestration, AWS, and machine learning.
Top Skills:
Amazon EmrAmazon KinesisAmazon S3Apache AirflowSparkAws EcsDockerLookerPandasPostgresPythonRedshiftScalaSnowflakeSQL
Healthtech
Leads business intelligence and database analysis to generate revenue insights, solve complex business problems, optimize digital performance, support sales and marketing initiatives, and develop predictive data products. The role requires advanced SQL analysis across large data warehouses, Tableau and web analytics reporting, data validation, executive presentations, and leadership of junior staff.
Top Skills:
Adobe AnalyticsDbvisualizerExcelPowerPointSAPSQLTableauToadVertica
Healthtech • Insurance
The Account Insight Manager delivers end-to-end analytics, reporting, dashboards, and data-driven insights supporting client renewals, retention, and upsell opportunities. Responsibilities include data extraction and validation, metric definition, trend and utilization analysis, report automation, executive presentations, CRM updates, cross-functional coordination, and client support. The role partners with a Consulting Account Manager, manages deadlines and risks, monitors performance guarantees, and performs administrative and data-entry duties. Travel may be required up to 25%.
Top Skills:
Ai And Machine LearningDashboardsData ModelingExcel MacrosExcelMicrosoft PowerpointMicrosoft TeamsMicrosoft WordPivottablesPower PivotPower QueryReporting AutomationSalesforce CRM
Edtech
Build, validate, deploy, and maintain forecasting, optimization, simulation, predictive, and cost-assessment models for digital assessment operations. Develop analytics pipelines, dashboards, and decision-support tools; improve operational efficiency, capacity planning, customer experience, and cost management. Partner with Product, Program, Operations, Technology, and Finance teams to translate analysis into decisions, shape the analytics roadmap, and identify new modeling opportunities.
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