Top Analysis Reporting Jobs in Dallas, TX

Manage IT teams in the design, development, testing, and implementation of applications, ensuring data integrity and project success while overseeing budgets and team performance.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Analyzes repair data to identify gaps and errors, create useful summaries, and convert findings into visual dashboards. Participates in system requirements evaluation, analysis, and implementation, and communicates insights to production teams to improve data input accuracy. The role requires SQL and database knowledge, strong analytical and communication skills, task prioritization, and flexibility for overtime. Work occurs in a warehouse environment involving noise, temperature variation, walking, bending, repetitive hand movements, and occasional lifting.

Design and build Microsoft Fabric medallion architecture, including Bronze, Silver, and Gold Delta tables, Spark feature pipelines, canonical MERGE workflows, Direct Lake semantic models, and OneLake layouts. Optimize Delta and Parquet physical storage, establish idempotent Python-based writes, size Fabric capacity, and support infrastructure provisioning with Terraform. The role also contributes to risk analytics delivery, performance testing, and potential ClickHouse adoption while partnering with DevOps and technical leadership.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.

Provides analytical and operational support for remarketing activities, including data mining, portfolio performance analysis, reporting, forecasting, data validation, visualization, and management presentations. Oversees implementation of policies and solutions, monitors performance trends, and collaborates with Risk, IT, and other departments on initiatives. Requires advanced spreadsheet skills, data transformation experience, quantitative ability, and coordination of multiple projects.

Analyze onsite search behavior to identify gaps and opportunities, audit product data quality, recommend ranking and query improvements, build synonym libraries, monitor search KPIs, and partner across engineering, product, and marketing to improve relevance and conversion.

Leads software and analytics engineering teams responsible for enterprise reporting, dashboards, and insights. Develops BI and cloud modernization strategies, establishes analytics architecture and governance, improves automation, observability, reliability, and visualization standards, and manages reporting delivery alongside transformation initiatives. Recruits and develops talent, partners with business leaders, and drives scalable, secure, and innovative intelligence platforms across the organization.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.