Top Senior Analysis Reporting Jobs in Dallas, TX

Designs, deploys, tests, and supports integrations connecting systems, software, databases, and business processes. Investigates integration issues, implements continuous improvements, and provides technical expertise to internal teams, customers, carriers, vendors, and third parties. The role also requires building ETL processes, data warehouses, tables, and pipelines; querying SQL data; creating reports and dashboards; performing statistical analysis; programming in R or Python; and managing teams or external vendors.

Leads Ookla’s enterprise data governance strategy, operating model, policies, ownership frameworks, data quality, privacy, security, metadata, cataloging, lineage, and data literacy programs. The VP partners across engineering, product, analytics, legal, compliance, and business teams; builds governance capabilities into platforms and workflows; and develops a high-performing governance organization. The hybrid role includes approximately 25% travel.

Analyzes sales and revenue data to support forecasting, budgeting, performance management, reporting, and strategic decision-making. Builds Tableau and Excel dashboards, synthesizes complex datasets, identifies revenue opportunities and risks, improves data quality, and streamlines recurring analytics processes. Communicates insights to technical and non-technical stakeholders, supports leadership analyses, and helps develop organizational reporting capabilities through documentation, best practices, and training.

The Operational Reporting Manager develops and improves leadership reporting, analyzes operational trends and drivers, and translates business questions into actionable insights. The role partners with senior stakeholders across marketing, sales, practice management, and financial services; presents results to leadership; uses ThoughtSpot and existing analytics platforms; and identifies data issues and reporting requirements. Initially an individual contributor, the role is expected to grow into leading a small analytics and reporting team.

Designs, administers, and evolves Fisher Investments’ Azure data warehouse and analytics platform. Responsibilities include developing cloud data solutions, setting architecture and security standards, guiding developers, troubleshooting systems, monitoring operations, planning capacity, optimizing cloud costs, and supporting BI and data delivery teams. The role also coordinates cross-functional projects, provides after-hours support, and prepares technical work plans and status reports.

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Leads analysis of infrastructure, platform, operational, and service data to identify performance trends, risks, capacity constraints, and optimization opportunities. Develops reliability, availability, performance, and capacity KPIs; performs anomaly detection and root-cause analysis; and supports infrastructure modernization decisions. Builds scalable analytics solutions using SQL, Python, Alteryx, APIs, and Power BI while partnering with engineering, operations, SRE, architecture, and technology leadership teams.

Analyze and document enterprise data environments for financial services clients, with a focus on Customer and Party Master Data Management. Define data flows, lineage, quality rules, governance models, entity resolution requirements, and MDM implementation roadmaps. Facilitate requirements sessions, collaborate with business and technical stakeholders, and prepare mappings, diagrams, documentation, and presentations. The role requires strong data management experience, financial services knowledge, and proficiency with analytical and documentation tools.

Designs, develops, and maintains scalable AWS data platforms, data lakes, and pipelines using Glue, S3, Lambda, Step Functions, Python, Snowflake, and Terraform. Implements governance and security through Lake Formation, automates infrastructure and deployments with CI/CD, and monitors production workloads using CloudWatch and Splunk. Collaborates with engineering and architecture teams to deliver reliable data solutions, leveraging modern AI-assisted development tools.

Leads enterprise data governance initiatives, including policy and standards development, governance conformance, data quality, metadata requirements, and data issue resolution. Facilitates cross-functional decisions among business and technical stakeholders, manages governance artifacts, supports privacy and regulatory compliance, and delivers training to improve responsible data use and data literacy.