Top Analytics Jobs in Dallas, TX

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.

Leads data engineering and analytics initiatives supporting marketing science. Evaluates complex data pipelines, data quality, and stakeholder requirements; develops data products, controls, validation checks, and automation using cloud technologies. Performs analysis for marketing strategy, translates business needs into technical solutions, identifies engineering improvements, and facilitates cross-functional technical discussions. The role also requires documentation, stakeholder management, compliance adherence, and end-to-end ownership of analytics initiatives.

Develop, implement, monitor, and enhance credit risk models using statistical, econometric, and machine learning methods. Analyze large datasets with Python, SQL, SAS, R, and Spark; perform forecasting, stress testing, feature engineering, and model validation. Document methodologies, support governance and regulatory reviews, communicate findings to stakeholders, and improve analytical automation and reporting processes.

Lead valuation and risk analytics for credit card portfolios, supporting quarterly FAS107 asset valuation. Maintain and deploy models, perform data reconciliation, forecasting, and documentation. Drive moderately complex analytics initiatives, collaborate with stakeholders, and mentor junior staff to deliver decision-focused insights and validated models.

Leads complex data engineering initiatives supporting global cybersecurity analytics. Designs data architectures, ingestion pipelines, governance standards, and quality processes; collects, transforms, and models traditional and big data; develops Power BI visualizations; and improves data reliability and accessibility. Provides technical consultation, mentors team members, documents systems, presents insights, and responsibly applies AI tools. Requires strong Python, Pandas, SQL, cloud, Snowflake, Airflow, ETL, API, data modeling, and governance expertise.

Lead analytics for small business insurance marketing by developing audience segments, targeting strategies, campaign measurement, and experimentation plans. Partner with marketing, insurance, analytics, and technology teams to align data definitions, build scalable data assets, diagnose analytical issues, and deliver executive-ready insights. Use Python, SQL, cloud platforms, and modern data warehousing to improve campaign performance, conversion, incrementality, and decision-making.

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.

Supports portfolio planning and operational analytics for auto insurance program delivery. Analyzes capacity, forecasts, rollout sequencing, dependencies, and performance metrics; builds dashboards, schedules, and reporting tools; conducts scenario analysis; and recommends delivery trade-offs. Partners cross-functionally with program management, state management, data science, and technology teams to maintain realistic roadmaps and improve planning workflows using Power BI, Power Apps, JIRA, Excel, AI, and automation.

Leads complex data engineering initiatives for global cybersecurity analytics. Designs data architectures, ingestion pipelines, governance standards, and quality processes; collects and transforms large datasets; develops Power BI visualizations; improves data reliability and accessibility; documents systems; advises stakeholders; mentors team members; and responsibly applies AI tools to improve workflows while protecting confidential data.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Leads executive-facing analytics for Home Lending Product Strategy, framing hypotheses, measuring impact, evaluating tradeoffs, and delivering recommendations and business cases. Coordinates analysts across matrixed teams, partners with Strategy, Product, Marketing, Finance, Originations, and Technology, conducts market and competitor research, and translates complex analysis into concise insights for senior decision-makers.

Leads global customer experience analytics strategy, developing analytical frameworks, predictive models, KPI systems, dashboards, forecasting, segmentation, retention analysis, and operational insights. Partners with CX, contact center, product, data, and business leaders to improve satisfaction, efficiency, retention, and business outcomes. Manages analytics initiatives and teams while translating complex data into executive-level recommendations and narratives.

Support operational reporting and analytics for Payments Operations by maintaining dashboards, scorecards, metrics, and scheduled reports. Perform SQL-based data validation, reconciliations, issue triage, root-cause coordination, ad hoc analysis, documentation, and control checks. Partner with Operations, Technology, and Data teams to improve reporting reliability, automate manual processes, strengthen governance, and communicate findings and risks to stakeholders.

Design and execute complex analyses evaluating property claims operations, process changes, tools, and vendor partnerships. Build reporting frameworks, synthesize multi-source data, and translate findings into actionable recommendations for senior stakeholders. Independently lead analytical projects that improve financial outcomes, claims handling, customer results, and operational efficiency.

Leads the Property Claims Loss Insights analytics team, setting analytical strategy, developing talent, guiding complex analyses, and translating findings into recommendations for executive and business audiences. The role evaluates financial and operational impacts of claims tools, vendors, and process changes; prioritizes high-value work; ensures methodological rigor; challenges assumptions; and partners with leadership to improve claims handling and financial outcomes.

Analyze credit expansion proposals, portfolio performance, loss forecasts, and reputational risk using internal, external, bureau, and deposit data. Develop strategy frameworks, identify emerging risk trends, diagnose performance anomalies, and recommend policy improvements. Extract and reconcile large datasets using SAS and SQL, communicate findings to senior stakeholders, validate peer analyses, and mentor junior team members.

Maintain and extend Snowflake and dbt marketing data models, dashboards, semantic models, KPI frameworks, and AI-agent validation processes. Investigate data quality issues, document metric definitions, assess downstream impacts of marketing technology changes, and translate stakeholder reporting needs into durable self-service data structures. The role requires collaboration across marketing, sales, IT, and finance to ensure trusted data and accurate AI-generated insights.

Designs and scales enterprise Power BI reporting, dashboards, semantic models, and analytical data products. Develops DAX measures, star-schema models, KPIs, data governance, row-level security, and performance optimizations. Partners with business, data engineering, and operational teams to translate requirements into actionable insights. Uses Python, SQL, Azure, and Microsoft Fabric to support data validation, self-service analytics, executive reporting, and enterprise analytics architecture.

Analyzes healthcare, financial, and utilization data to identify inefficiencies, support business decisions, build and maintain dashboards, develop analytical models, and communicate actionable insights to technical and non-technical stakeholders.

Leads analytics-driven business strategy for originations, credit performance, profitability, pricing, fraud mitigation, and risk management. Advises senior leadership, interprets predictive models, oversees reporting and performance analytics, and drives cross-functional strategy implementation. Manages and develops analytics teams while ensuring regulatory and risk-management compliance.

Provides customized healthcare operations analytics using Vizient and hospital data. Analyzes performance, costs, productivity, utilization, outcomes, supply use, and benchmarks; develops reports and actionable insights for hospital leaders. The role facilitates client meetings, translates findings into strategic and operational recommendations, ensures reporting accuracy, and contributes to mentoring and team best practices.

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

Leads BI, analytics, and AI initiatives that transform energy market and customer data into dashboards, automated insights, predictive analyses, and strategic recommendations. The role supports pricing, acquisition, retention, marketing, finance, and customer experience decisions through Python, SQL, Tableau, Power BI, generative BI, experimentation, and machine learning. Responsibilities include building executive reporting, evaluating AI-enhanced BI platforms, analyzing customer lifecycle performance, mentoring analysts, and partnering with cross-functional business and technical teams.