Applications & Data Analytics Specialist - Sr. Lead
Listed on 2026-08-24
-
IT/Tech
Data Engineering, Data Analyst, Business Intelligence
Job Title:
Applications & Data Analytics Specialist - Sr. Lead
PS
Job Title:
Data Analytics Spec, Sr Ld
Work Place Flexibility:
Hybrid
Legal Entity:
Entergy Services, LLC
This role can be filled as a Applications & Data Analyst Specialist - Sr. Lead level.
Job Summary / PurposeThe Applications & Data Analytics Specialist provides enterprise level analytical, reporting, application, and data engineering support to enable effective crisis readiness and response from cyber-attack, storm, wildfire, etc. and operational decision making. The role leads the architecture and development of dashboards, metrics, and analytics systems; manages the applications and dataflows that support them; and integrates multi‑platform data sources to deliver reliable, actionable insights.
FocusFoundational development and support
Characteristics- Supports basic dashboard and metric development, Power BI report updates, and platform-based query edits under supervision.
- Assists with data validation, documentation, and application administration.
- Learns Crisis Readiness & Response and Storm Response Operations workflows; contributes to metric troubleshooting and data integrity support.
- Build and maintain enterprise Power BI semantic models, dataflows, and shared datasets to support scalable, reusable analytics solutions.
- Develop platform based (e.g. SQL) data extractions, transformations, stored procedures, and analytics models from multiple systems.
- Develop documentation, training, and governance processes to ensure stable, secure application operation.
- Integrate and manage data across internal platforms (APIs, operational systems, databases, storm systems, finance systems).
Specialist
- Bachelor’s degree or equivalent experience.
- 1+ years relevant experience.
- Bachelor's Degree or equivalent experience.
- 3-5 years progressively relevant experience.
Duties & Responsibilities
Dashboard & Metrics Development
- Design, develop, and maintain standardized enterprise and departmental dashboards, metrics, and scorecards supporting executive decision making for crisis readiness and response, storm preparedness and response, operational performance, and cost forecasting.
- Govern KPI definitions, metric logic, and visual frameworks to ensure consistency and reliability across Crisis Readiness & Response analytics.
- Partner with stakeholders to define new metrics, refresh cycles, and decision support visualization requirements.
- Build and maintain enterprise Power BI semantic models, dataflows, and shared datasets to support scalable, reusable analytics solutions.
- Implement dashboard performance optimization, governance controls, data security, workspace management, and lifecycle standards.
- Oversee Power BI environment health, including dataset refreshes, gateway troubleshooting, and workspace access.
- Develop platform based (e.g. SQL) data extractions, transformations, stored procedures, and analytics models from multiple systems.
- Implement validation routines, performance tuning, and data quality frameworks to ensure metric accuracy and dashboard reliability.
- Maintain documentation for metric logic, data lineage, and transformation rules.
- Serve as technical steward for analytics, reporting, and metric producing applications, including access controls, configuration, performance monitoring, and change management.
- Coordinate with IT and vendors to resolve issues, implement enhancements, and maintain application readiness during storm activations.
- Develop documentation, training, and governance processes to ensure stable, secure application operation.
- Integrate and manage data across internal platforms (APIs, operational systems, databases, storm systems, finance systems).
- Partner with SMEs to eliminate data inconsistencies, troubleshoot cross-system‑issues, and improve metric accuracy.
- Ensure data reliability for real-time and near real‑time dashboards used during Crisis Readiness and Response events.
- Utilize cross model data to produce cost…
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