Top Senior Analysis Reporting Jobs in Dallas, TX

Deliver analytics and insights for the ~$100B Commercial Term Lending portfolio. Develop data solutions to source, combine, and transform data; monitor portfolio performance and market trends; build scalable dashboards and self-service reporting; partner with Controls and Compliance; and support special projects and ad hoc analyses to inform risk and portfolio strategy.

Develop targeted marketing audience segments, optimize campaign targeting and measurement, and deliver actionable analytics for Chase Small Business and Insurance. Build automation and AI-enabled solutions, analyze campaign performance, identify data gaps, and prototype scalable workflows. Partner with marketing, analytics, modeling, execution, and technology teams to manage experimentation and delivery. Communicate complex findings and recommendations to senior stakeholders while improving data-driven decision-making and operational efficiency.

Analyzes complex data to support business strategies, develops business intelligence tools, dashboards, metrics, and self-service data solutions, and manages data quality, metadata, lineage, definitions, security, and access governance. The role uses Python, R, Spark, SQL, AWS, and data visualization technologies while partnering with business and technical teams to deliver insights and monitor data quality.

Leads enterprise data engineering strategy, architecture, modernization, and governance. Designs scalable cloud-native data lakes, warehouses, lakehouses, ingestion pipelines, and real-time processing platforms. Establishes standards for data modeling, security, quality, observability, DataOps, DevOps, and compliance. Provides technical leadership across engineering teams, mentors senior professionals, drives transformation programs, and partners with business and technology stakeholders to deliver resilient data products supporting analytics, regulatory reporting, and operational intelligence.

Maintains enterprise Snowflake data lake, warehouse, and mart infrastructure; manages access, onboarding, training, ingestion workflows, and platform configuration. Provides daily technical support to global developers, resolves data and query issues, develops SQL solutions, and uses Python for automation. Translates factory business processes into technical requirements and documentation, evaluates Snowflake capabilities, and guides data products through production delivery.

Leads enterprise data architecture initiatives by translating business requirements into scalable data designs, assessing impacts across systems and pipelines, modernizing legacy environments, and guiding AI/ML data solutions. Partners with data leaders and stakeholders, manages project plans, monitors implementation progress, and communicates risks and mitigation plans. Requires expertise in cloud and hybrid environments, data platforms, data engineering or architecture, and team or project management.

Supports client data and analytics engagements by designing validation approaches, building data integration and transformation solutions, analyzing data quality issues, testing pipelines with SQL, documenting findings, and recommending corrective actions. The role collaborates with clients, manages workstreams, mentors junior team members, and applies Agile methods while delivering risk and regulatory data solutions.

Develop global engagement strategies for Crunchyroll’s streaming platform using consumer behavior, audience segmentation, experimentation, and analytics. Analyze viewing journeys, engagement barriers, churn signals, and lifecycle interventions. Build measurement frameworks, define success metrics, evaluate A/B tests, and identify strategies that strengthen viewing habits and retention. Partner with Product, Data Science, Lifecycle, Curation, and Consumer Insights teams to translate complex behavioral data into executive-level recommendations and prioritized initiatives.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Leads end-to-end data enablement for Supply Chain and Manufacturing domains. Partners with business and technical stakeholders to define use cases, roadmaps, data models, semantic layers, integration requirements, quality controls, and governed data products. Builds and optimizes Databricks lakehouse pipelines using SQL, Python, PySpark, and Delta Lake across complex ERP, manufacturing, procurement, inventory, and finance systems. Establishes standards for lineage, security, documentation, reliability, and production readiness.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.