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Manager, Data Analytics

Tekwissen

Manager, Data Analytics


Location- : Houston - hybrid/onsite


Domain: Oil and Gas

Must have worked on Lakehouse

Key Responsibilities

Analytics Strategy & Delivery

  • Lead the design and implementation of enterprise analytics solutions that support operational, financial, and strategic reporting needs.
  • Partner with business leaders to translate business objectives into analytical requirements and data-driven solutions.
  • Define and prioritize analytics roadmaps aligned with organizational goals.
  • Drive adoption of data products, reporting capabilities, and self-service analytics platforms.
Data Architecture & Solution Design
  • Design scalable enterprise data solutions that support reporting, analytics, and advanced analytics initiatives.
  • Contribute to enterprise and solution data architecture strategies across multiple business domains.
  • Define architecture standards, reusable frameworks, and best practices for analytics delivery.
  • Ensure analytics solutions align with enterprise architecture, governance, and security standards.
Data Modeling & Domain Design
  • Lead development of conceptual, logical, and physical data models supporting analytical and operational reporting requirements.
  • Partner with business teams to establish subject areas, data domains, and business-aligned data structures.
  • Design data products that improve access to reliable, governed, and reusable datasets.
Lakehouse & Cloud Data Platforms
  • Support implementation and optimization of Lakehouse architectures utilizing cloud-native technologies and Databricks.
  • Collaborate with engineering teams to define data ingestion, transformation, storage, and consumption strategies.
  • Ensure solutions are scalable, performant, and aligned with evolving business needs.
Trading & Enterprise Integration
  • Analyze and integrate data across trading systems, operational platforms, ERP environments, and analytical applications.
  • Support architecture and analytics initiatives involving energy trading, commodities, market, risk, and financial data domains.
  • Develop source-to-target mappings and end-to-end data flow documentation for enterprise initiatives.
Data Governance & Quality
  • Establish processes supporting metadata management, data quality, lineage, and governance initiatives.
  • Partner with business stakeholders and data stewards to improve data integrity and trust.
  • Drive implementation of monitoring frameworks and data quality standards.
  • Ensure compliance with organizational governance and regulatory requirements.
Leadership & Stakeholder Management
  • Lead teams of data analysts and collaborate closely with architects, engineers, and business stakeholders.
  • Facilitate requirements-gathering workshops, solution reviews, and roadmap planning sessions.
  • Develop technical documentation, architecture diagrams, data dictionaries, and business process documentation.
  • Present analytical findings, recommendations, and solution strategies to leadership teams.
Vacancy posted 1 day ago
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