Data Analyst Jobs in Plano, TX

Analyzes complex data to support business strategies, develops business intelligence tools, dashboards, metrics, and self-service data solutions, and manages data quality, metadata, lineage, definitions, security, and access governance. The role uses Python, R, Spark, SQL, AWS, and data visualization technologies while partnering with business and technical teams to deliver insights and monitor data quality.

Paid ten-week internship analyzing data and business information, researching organizational needs, developing recommendations, supporting process and metrics improvements, and contributing to cross-functional projects. The intern will document and communicate business requirements, maintain confidentiality and compliance, and present project results to leadership. The role is hybrid in Chicago or Richardson, with at least three office days per week.

Leads Production Master Data activities for the SAP S/4HANA transformation, managing material masters, bills of materials, routings, work centers, and related data. Coordinates stakeholders, requirements, system configuration, testing, documentation, data governance, and continuous improvement. Provides advanced SAP, Oracle, PL/SQL, and master data expertise while coordinating PMD project delivery and business-system enhancements.

Bridges business, operations, product, and software teams by eliciting requirements, documenting data flows, shaping technical solutions, and advancing data- and AI-enabled initiatives. Extracts insights from complex datasets, supports architecture decisions, manages dependencies and change control, promotes responsible AI-assisted engineering practices, and drives continuous process improvement. Guides team members while communicating complex technical information clearly to diverse stakeholders.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Leads solutions analysis and technical program delivery by translating business and data requirements into feasible technical solutions. Develops data models, analyzes complex datasets, integrates platforms and systems, and provides strategic insights for business initiatives. Acts as a subject matter expert, manages ambiguity and dependencies, mentors team members, and partners with product owners, business stakeholders, operations, and software developers. Applies data analytics, visualization, AI/ML tools, and technical writing to support informed decision-making.

Summer Analyst in Data & AI will design and build end-to-end data, analytics, and ML/AI solutions using cloud and modern tooling. Responsibilities include developing models and pipelines, running experiments tied to business KPIs, supporting data governance and compliance, creating dashboards, and collaborating in agile teams while receiving mentorship and training.

Leads compliance risk data analytics and testing strategy, plans and executes analytical projects, evaluates analytical tools, prototypes emerging practices, and translates technical findings for legal, compliance, risk, and executive stakeholders. The role also includes cross-functional partnership, written and verbal communication, and coaching and mentoring junior staff.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Leads discovery and requirements gathering for enterprise data solutions, translating business needs into user stories, acceptance criteria, source-to-target specifications, and data workflows. Partners with engineering, architecture, governance, analytics, and business teams throughout delivery. Coordinates validation, reconciliation, testing, defect resolution, and stakeholder approvals while managing risks and dependencies. Documents data lineage, integrations, quality expectations, and reporting needs, and mentors analysts and cross-functional partners.

Design, build, and maintain data solutions to support enterprise risk. Partner with business to produce dashboards and analyses, drive data quality, metadata and lineage practices, manage data access governance, and use open-source tools and cloud services to enable self-service analytics.

Supports data science and analytics teams by managing Jira requirements, backlogs, workflows, dashboards, model portfolios, and prioritization processes. Partners with technical teams, leadership, and stakeholders to communicate model status, risks, blockers, and priorities. The role also improves documentation and intake processes, facilitates prioritization decisions, and builds repeatable processes in a compliance-sensitive environment.

Seeking a Senior Business Intelligence/Data Analyst with expertise in data warehousing, ETL design, data modeling, and analytics to manage projects and enhance data usability.

The Sterling Data Analyst will enhance order entry systems, maintain Oracle databases, and analyze data for integration with Sterling applications, requiring strong SQL skills.

Design and implement ETL processes for assigned business intelligence projects to extract, transform, and load data that supports reporting and analytics.

The Business Data Analyst will analyze data, generate insights, assess impacts, and recommend actions using data visualization and storytelling techniques. They will collaborate with stakeholders and assist in implementing changes based on data findings.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Perform data collection, cleaning, analysis, and reporting to generate actionable insights. Build dashboards and visualizations, collaborate with stakeholders, and support data-driven decision making.

Senior Data and Reporting Analyst responsible for data fulfillment (70%), project management (10%), and subject matter expertise (20%). Prepares and delivers reports, ensures data quality, supports projects, and serves as an SME. Bachelor's degree preferred.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.