Top Senior Analysis Reporting Jobs in Dallas, TX

Lead design and implementation of Informatica IDMC Multidomain MDM: configure domains, matching/merging, data quality, integrations (batch, API, Kafka), stewardship, CI/CD, and operational support.

Lead analytics to measure and improve end-to-end client experience. Own sentiment and performance analysis (NPS, CSAT, churn, health), design measurement frameworks and leading indicators, build executive dashboards, perform root-cause and financial impact analyses, partner cross-functionally to optimize journeys, and convert qualitative and quantitative insights into prioritized actions.

Define, design, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance. Use Informatica MDM/IDQ, SQL, and Excel to cleanse, standardize, match, merge, and manage reference data.

Design and build scalable cloud data pipelines and lakehouse architectures for high-volume manufacturing and IoT data. Bridge OT/IT using industrial protocols, apply OEE/Six Sigma/SPC practices to improve yield and uptime, and use Spark, Kafka, Airflow, Delta Lake on Databricks/Snowflake/AWS/Azure. Work closely with shop-floor systems (MES/SCADA/ERP) to enable real-time data extraction and analytics.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Lead and supervise a data analysis team responsible for designing, implementing, maintaining, and supporting data warehouse systems. Manage data reporting, modeling, dashboards, and BI solutions, ensure data quality and audits, provide on-call support, translate stakeholder requirements into technical solutions, document procedures, and mentor staff to meet SLAs and organizational objectives.

The Data Engineer will optimize data infrastructure, modernize SQL processes, support data governance, and mentor team members while enhancing analytics capabilities.

Design and deliver enterprise data infrastructure and architectures across on-prem and Azure cloud. Build ETL/ELT pipelines, data models, governance, security, and migrations; mentor teams and align data platforms to business, compliance, and analytics needs.

The Senior Business Intelligence Analyst analyzes complex data, develops advanced models, and builds dashboards to support strategic decision-making across the organization.

Lead the Data POD for enterprise Adobe Experience Cloud initiatives: own data architecture, Adobe Web SDK implementations, integrations, XDM schemas, identity, governance, data quality, and delivery management while aligning roadmaps with stakeholders and driving automation and operational maturity.