Top Analytics Jobs in Dallas, TX

Supports Home Lending risk analytics through data management, reporting, governance, forecasting, reconciliation, model validation, and production support. Develops and troubleshoots SAS queries and reporting processes, maintains documentation and audit evidence, resolves data and modeling issues, and partners with finance, compliance, technology, and business stakeholders to improve reporting transparency, controls, and efficiency.

Owns data strategy, governance, quality, protection, documentation, and delivery for a credit card product. Partners with business, analytics, technology, risk, and operations teams to define data requirements, deploy data solutions, manage workstreams and KPIs, mitigate data risks, and ensure compliance with firmwide standards. Leads direct or matrixed staff and provides subject matter expertise across data management, engineering, architecture, pipelines, modeling, and analytics.

Analyze large datasets to generate business and marketing insights, build Tableau dashboards and reports, optimize SQL and Teradata data workflows, design A/B tests, perform statistical analysis and predictive modeling, and communicate recommendations to stakeholders. The role also develops analytics strategies for portfolio growth, tracks OKRs and KPIs, automates reporting with Python and Tableau, and collaborates cross-functionally on growth initiatives.

Leads pricing and analytics strategy, prioritizes analytical requests, translates ambiguous business questions into recommendations, and delivers executive insights. Owns business strategy, product and pricing analytics, credit risk modeling, marketing insights, and cross-functional execution. May manage analysts, oversee projects, develop business requirements, and partner with Sales, Finance, IT, Operations, and other teams to improve profitability and performance.

Leads business analytics strategy and operational insights for a global banking services organization. Responsibilities include defining management metrics, overseeing analytics initiatives, partnering with senior stakeholders, developing executive presentations, identifying operational improvements, coordinating technology and data roadmaps, and exploring datasets through visualization and advanced analytics.

Designs and maintains data pipelines supporting monthly profitability close, automates manual finance workflows, and develops machine learning solutions for quality control, anomaly detection, and reconciliations. The role extracts and delivers financial data, prototypes LLM and agentic tools, and partners with Finance, Technology, and P&A on analytics initiatives. It also communicates technical methods and results to senior business stakeholders.

Supports pricing analytics initiatives through data extraction, reporting, dashboard development, trend analysis, KPI tracking, and recommendations. Partners with business teams across revenue, sales, marketing, digital, and customer organizations; contributes to multi-year pricing offers, recurring performance reviews, quarterly business reviews, and testing of pricing initiatives. Uses BI and data tools to synthesize insights and support revenue management decisions.

Develop global engagement strategies for Crunchyroll’s streaming platform using consumer behavior, audience segmentation, experimentation, and analytics. Analyze viewing journeys, engagement barriers, churn signals, and lifecycle interventions. Build measurement frameworks, define success metrics, evaluate A/B tests, and identify strategies that strengthen viewing habits and retention. Partner with Product, Data Science, Lifecycle, Curation, and Consumer Insights teams to translate complex behavioral data into executive-level recommendations and prioritized initiatives.

Lead complex data initiatives from discovery through implementation and adoption. Define data structures, integrations, governance requirements, metrics, validation criteria, and reusable patterns across heterogeneous systems. Partner with business, product, technology, and data-governance teams to establish trusted data foundations, modernize legacy processes, support platform migrations, and enable reliable operational decisions and responsible AI capabilities.

Lead quantitative and qualitative analyses to develop, implement, and monitor credit risk strategies across the card lifecycle. Define problems and success metrics, analyze customer and portfolio performance, design monitoring/reporting, perform root-cause investigations, and translate findings into executive-ready recommendations. Partner cross-functionally to implement policy and controls while ensuring governance and regulatory alignment.

Support digital product analytics for an application status platform by defining measurement strategies, KPIs, analytical frameworks, dashboards, governed datasets, and anomaly alerts. Analyze platform data, identify trends and performance issues, communicate recommendations to product and technology stakeholders, and collaborate on instrumentation and pipelines. Use AI-enabled tools to accelerate validated analysis while building reusable playbooks and scalable self-service reporting capabilities.

Leads end-to-end data enablement for Supply Chain and Manufacturing domains. Partners with business and technical stakeholders to define use cases, roadmaps, data models, semantic layers, integration requirements, quality controls, and governed data products. Builds and optimizes Databricks lakehouse pipelines using SQL, Python, PySpark, and Delta Lake across complex ERP, manufacturing, procurement, inventory, and finance systems. Establishes standards for lineage, security, documentation, reliability, and production readiness.

Designs scalable finance analytics workflows, data models, pipelines, and automation supporting FP&A decision-making. Builds governed finance data layers from ERP and operational data, develops self-service analytics, applies AI/ML for predictive insights and anomaly detection, and manages automation governance. Translates financial data into executive-ready insights while ensuring solutions are documented, maintainable, and scalable.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Serves as a trusted analytics advisor to leadership by investigating complex business, operational, and data challenges. Conducts research, root cause analysis, experimentation, and data exploration to identify risks, trends, and opportunities. Evaluates analytical methods and emerging technologies, partners with cross-functional stakeholders, and delivers actionable recommendations. Provides subject matter expertise and supports strategic initiatives in ambiguous, data-intensive environments.

Aggregates enterprise data, builds advanced financial models, and delivers analytics, dashboards, reports, and executive insights supporting growth initiatives. Develops conversational and workflow agents using Claude, Microsoft Copilot Studio, Snowflake, and Salesforce; automates reporting and data distribution; and partners with stakeholders to define requirements. The role leads analytical projects from ideation through executive presentation and supports forecasting, advisor economics, growth ROI, and operational efficiency initiatives.

Leads business and data analytics strategy across information management, governance, reporting, analytics delivery, and data platforms. Oversees strategic initiatives, data modernization, reporting optimization, risk controls, and cross-functional teams. Provides executive-level insights, guides architecture and technology decisions, manages priorities and capacity, and drives data-informed business outcomes. Requires substantial analytics experience in financial services, people leadership, large-scale data analysis, Agile project leadership, and strong executive communication.

Leads a food analytics team supporting sales and sourcing through market basket analyses, spend insights, reporting, automation, and analytics tools. Establishes methodologies, quality standards, and operating practices; translates complex data into actionable recommendations; partners with technology, sourcing, sales, and executive stakeholders; oversees client deliverables; improves scalability and quality assurance; and supports recruiting, coaching, and team development.

Analyzes financial, operational, and supply chain data to support budgeting, forecasting, KPI reporting, inventory and logistics coordination, claims management, and executive decision-making. Builds reports, dashboards, models, and presentations using Excel, ERP/SAP, and BI tools. Coordinates with headquarters, factories, vendors, account teams, and IT partners on process improvements, production schedules, product setup, and supply status. Korean-English bilingual communication supports cross-regional collaboration.

Owns data infrastructure, datasets, dashboards, predictive models, and AI-enabled workflows for JLL’s national industrial real estate platform. The role supports investor and occupier business development through analytics, market research, supply-chain mapping, reporting, presentations, and executive insights. Responsibilities include coordinating cross-functional teams, improving data protocols, evaluating technology platforms, automating repetitive analysis, supporting pursuits, and communicating analytical priorities to leadership.

Ten-week paid internship supporting the development, integration, testing, and maintenance of finance data and analytics solutions. Responsibilities include collecting and preparing data, analyzing information, supporting defect resolution, collaborating with teams, recommending process improvements, and delivering a final presentation to leadership. Candidates will use entry-level data technologies, Excel, Access, and SQL while pursuing a relevant bachelor's degree.

Leads financial reporting and data analytics by developing dashboards, reporting packages, KPI insights, and data workflows. Oversees reporting governance, data quality, warehousing practices, automation, and infrastructure improvements. Manages and mentors analysts while partnering with executives, Finance, IT, and business units to translate complex data into actionable insights. Requires advanced Power BI and SQL skills, Databricks experience, and expertise in data management, reporting, and analytics.

Leads IT audit data analytics, overseeing data extraction, complex algorithms, query validation, data quality, audit reporting, and analytical support for internal audit testing. Manages, coaches, and develops Data Analyst staff; maintains knowledge of databases, audit tools, and data relationships; consults with audit leadership on analytical needs; and supports budgeting and salary evaluations.

Develops SQL-based data solutions, analytical datasets, dashboards, reports, and performance monitoring tools. Analyzes business, customer, sales, and market data to identify trends and actionable insights. Supports qualitative and quantitative market research, synthesizes findings, and communicates recommendations to technical and nontechnical stakeholders across marketing, sales, product, strategy, and IT.

Supports people analytics by gathering and analyzing HR data, preparing workforce reports and dashboards, identifying trends, and developing actionable insights. Contributes to AI transformation, workforce planning, employee engagement, data integrity, and organizational effectiveness initiatives. Collaborates with HR and cross-functional partners, maintains confidential information, conducts research, and presents findings through a capstone project to leadership.