Top Senior Analysis Reporting Jobs in Dallas, TX

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

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

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.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Serve as client-facing liaison translating business needs into technical requirements, perform advanced SQL data analysis, design BI dashboards and reports, manage requirements and user stories, collaborate with development teams in Agile, and support UAT and data quality efforts to drive insights and process improvements.

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

The Sr Oracle Application Developer is responsible for designing and developing technical solutions using Oracle technologies, leading teams, and ensuring project deliverables. This role requires hands-on technical expertise in Oracle applications and systems analysis, guiding other developers, and liaising with external vendors.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

Lead quantitative modeling and measurement of portfolio monetization and growth. Build pricing and growth models, track core financial KPIs (Net New ARR, LTV:CAC, CAC payback), surface risks, and deliver executive dashboards and data-backed recommendations to align Product, GTM, Marketing, and Operations.

Lead decision science efforts for corporate and people analytics by designing experiments, performing explanatory and inferential analyses, building diagnostic and multivariate models, synthesizing insights, influencing strategic decisions, ensuring data quality and best practices, and mentoring analytic talent while partnering across the enterprise.