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Top Remote Analysis Reporting Jobs in San Antonio, TX
Software
Senior, hands-on role defining enterprise data architecture and standards across cloud platforms (Snowflake, Databricks, Azure). Design data models, integration patterns, governance, and pipelines to support analytics and AI/ML. Lead platform decisions, ensure security, metadata, and MDM; mentor teams and drive architecture reviews and documentation.
Top Skills:
AlationAzure Data FactoryAzure Data LakeAzure SqlCollibraDatabricksDbtMicrosoft PurviewModel Context Protocol (Mcp)Power BISnowflakeSparkSynapseTableau
Financial Services
Lead enterprise data strategy and governance to establish semantic architecture, metadata, lineage, stewardship, and standards enabling trusted data for AI, analytics, and operations. Define operating model, policies, reference architectures, and roadmaps while partnering with Legal, Compliance, Security, Technology, and business leaders to ensure regulatory compliance and enterprise-wide adoption.
Healthtech • Telehealth
Design, build, and maintain Workday reports, dashboards, Adaptive Planning sheets, and automations. Deliver workforce analytics, forecasts, and visualizations to support workforce planning and data-driven HR decisions. Collaborate to develop scorecards and influence business outcomes with real-time and forecasted people data.
Top Skills:
Power BISQLWorkdayWorkday Adaptive PlanningWorkday OrchestrationsWorkday Prism
Marketing Tech
Design, build, and maintain scalable, reliable data systems and pipelines. Partner with Product, Sales Ops, and Finance to deliver analytics and self-service tooling. Maintain SLOs, improve pipeline reliability, implement testing and documentation, and contribute to data platform strategy and operations.
Top Skills:
AirflowBigQueryDbtDockerGoKubernetesLookerMySQLOciPostgresPythonSnowflakeSQLTerraform
Machine Learning • Software
Own end-to-end client data migrations: reverse-engineer legacy ETL, design and build Airflow DAGs and Spark jobs, validate and reconcile data at scale, document architecture and decisions, and coordinate cross-functional teams through go-live and hypercare.
Top Skills:
Apache AirflowSparkAws S3ClaudeCursorGithub CopilotPythonSQLSQL ServerSsisT-Sql
New
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Information Technology • Software
The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.
Top Skills:
AWSAzureCi/CdDatabricksGCPPower BIPythonSQL
Artificial Intelligence • Fintech • Machine Learning • Software • Financial Services
Design and run evaluation frameworks to assess third-party vendor data for fraud detection. Build lift analyses, backtests, and champion/challenger tests; profile vendor datasets for quality and coverage; collaborate with fraud, product, and data engineering to define ingestion and testing requirements; translate findings into actionable recommendations and maintain an internal knowledge base; support ad hoc analyses on fraud trends and model performance.
Top Skills:
PythonRSQL
Healthtech • Insurance
The Senior People Analytics Consultant delivers insights from complex data to guide people strategies and influence decisions within the organization.
Top Skills:
CrunchrOne ModelStatistical AnalysisVisier
AdTech • Marketing Tech • Software
As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.
Top Skills:
CapiGa4Google AdsGoogle Tag ManagerLooker StudioMeta PixelPower BIPythonRRudderstackSegmentSQLTeleaumTiktok Events Api
Artificial Intelligence • HR Tech • Professional Services • Software
Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.
Top Skills:
Catastrophe Modeling ToolsCloud-Based Analytics PlatformsData Visualization ToolsGeospatial DataMachine LearningPythonR
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