Data Analyst

• Perform data collection, research, analysis, and presentation of findings affecting portfolio performance
• Use complex analysis concepts to mitigate risks and identify opportunities related to capturing and reporting data
• Work alongside business units, including IT, to create streamlined data and decision-support solutions
• Assist in modeling efforts as required
• Provide business insight and expertise to support overall company objectives
• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Discover previously unrecognized inefficiencies, risks, and improvement opportunities
• Develop reports, dashboards, and analytical models to support decision-making
• Quantify potential business value associated with identified opportunities
• Support AI, automation, and process improvement initiatives through data-driven analysis
• Partner with stakeholders to transform analytical findings into actionable recommendations

Data Analyst II – Enterprise Solutions

• Analyze client performance against contractual goals, KPIs, and operational benchmarks on the Anna™ platform
• Build and maintain reporting views for Client Success leaders and account owners
• Surface leading indicators of client risk or opportunity
• Support QBRs, executive reviews, and internal client success planning with decision-ready analytics
• Investigate drivers behind utilization shifts, workflow changes, provider network dynamics, seasonality, and product usage patterns
• Use cohort analysis, comparative benchmarking, and statistical methods to determine why trends occurred
• Translate findings into charts, memos, and briefings
• Provide insights into provider network coverage, capacity, and integration health across post-acute care
• Identify market gaps, network expansion priorities, integration friction patterns, facility outliers, workflow bottlenecks, and data quality issues
• Structure, join, validate, and interpret large datasets from the Anna platform, claims, EHR/EMR extracts, and client-provided files
• Build reusable queries, models, dashboards, and notebooks
• Partner with the VP, Analytics on analytical standards, methods, documentation, and reusable frameworks

• Analyze workforce data and HR metrics to identify trends, risks, and opportunities
• Develop dashboards, reports, and visualizations for HR and business leaders
• Support workforce planning, organizational design, talent management, and employee retention initiatives
• Translate complex data into recommendations that drive business outcomes
• Establish and monitor HR performance indicators and workforce metrics
• Identify opportunities to improve HR processes through AI, automation, and digital innovation
• Design and implement AI-enabled solutions with HR stakeholders
• Evaluate emerging AI technologies and recommend practical use cases
• Support responsible AI adoption through governance, compliance, and ethical use of employee data
• Measure and communicate the impact of AI-driven initiatives
• Support employee engagement, workplace culture, employee experience, rewards, recognition, and talent initiatives
• Drive continuous improvement by simplifying processes and enhancing service delivery
• Ensure HR data accuracy, integrity, and consistency
• Support data governance, compliance requirements, and reporting standards
• Maintain documentation, methodologies, and analytical frameworks

Country HR Analytics Specialist

• Support Samsung’s Service/Repair Quality management team with nationwide data, trends, and analysis
• Provide recommendations and improvements based on data analysis
• Ensure data is captured appropriately, reported against, and maintained clearly and accurately for leadership review and action
• Set data standards, identify root causes, and help resolve issues
• Collect raw, structured, and ASC data from different sources and convert it into meaningful organizational data
• Collect, clean, and interpret data sets to answer questions or solve problems
• Manage and analyze customer-provided warranty and bounce-return data
• Monitor, collect, and collate repair data using field metrics
• Create dashboards and reports for Samsung Quality Management and Care Teams

Repair Quality Data Analyst, Korean Bilingual Preferred

• Collect, process, cleanse, and validate data from multiple internal and external sources
• Apply and maintain established data rules, mappings, transformations, and interface requirements
• Investigate and resolve data discrepancies across systems to improve accuracy, consistency, and reliability
• Monitor data quality results, hierarchy integrity, and matching outcomes; escalate patterns and recommend improvements
• Support production data processes, including validation activities, issue triage, and post-production follow-up
• Partner with business, analytics, and technology teams to support trusted data for reporting and operational decision-making
• Use SQL and other analytical tools to analyze data, validate outputs, and support issue resolution
• Contribute to process improvements and automation efforts that reduce manual rework and improve data reliability
• Independently handle moderately complex data issues and support key data quality and operational initiatives
• Provide guidance to less experienced staff as needed

Senior Data Analyst

• Build and maintain dashboards and recurring reports for business stakeholders
• Write and optimize SQL against a cloud data warehouse
• Partner with teams across the business to define metrics and reporting standards
• Design and analyze experiments to evaluate product and pricing changes
• Automate manual reporting processes
• Document data models, metric definitions, and ownership
• Turn operational data into decisions that business partners can act on
• Work directly with stakeholders across the company

• Design, develop, and optimize dashboards using Power BI, Looker Studio, Tableau, or similar tools
• Create interactive reports that translate productivity data into operational insights for ActivTrak customers
• Support data integration with third-party systems to enhance reporting capabilities
• Partner with engineers to validate data accuracy, integrity, and consistency
• Implement data validation processes to maintain high-quality analytical outputs
• Conduct deep analysis of workforce and productivity trends using SQL and Python
• Deliver data-driven recommendations that empower customers to optimize performance and decision-making
• Support HR, Operations, and Product teams by querying key datasets from Google BigQuery
• Ensure timely and accurate responses to ad-hoc data needs
• Collaborate on the development and refinement of productivity measurement frameworks
• Align metrics with evolving business goals and customer needs

• Conduct complex data collection, reporting, and analysis to monitor, evaluate, and increase LSCC efficiencies
• Perform detailed data analysis and research for financial estimates and operational deliverables
• Provide results and monitor and implement data quality improvements
• Collaborate with teams to examine systems, people, policies, and processes and identify performance opportunities
• Analyze data using statistical tools, methods, and techniques
• Consult with customers and staff to identify user needs
• Compile and query data; identify gaps, errors, anomalies, inconsistencies, and redundancies
• Interpret data differences, patterns, trends, and quality
• Clean and prune irrelevant data
• Prepare technical reports, identify alternatives, and make and justify recommendations
• Assist with data standards, quality measures, statistical modeling, and graphical analysis
• Create documentation for new developments, updates, and enhancements
• Develop and implement data collection systems, analytics, and optimization strategies as needed
• Perform quality assurance and support data integrity, extraction, compilation, and data management tools
• Provide guidance to others and perform related work as assigned
• Travel to other LSCC facilities as needed

• Analyze large and complex datasets to identify trends, risks, opportunities, and business insights across product portfolios and lifecycle stages
• Design, develop, and maintain dashboards and reports using Tableau, Power BI, and Microsoft Excel
• Monitor and report KPIs related to product lifecycle management, business performance, profitability, supply, inventory, and market demand
• Ensure data integrity, accuracy, and availability across reporting environments
• Develop automated reporting solutions to improve efficiency and reduce manual effort
• Leverage AI tools to accelerate analytics and decision-making
• Design, develop, and maintain AI-powered agents providing product lifecycle insights, recommendations, and suggested actions
• Identify opportunities to automate recurring analytical tasks and business processes
• Partner with stakeholders to implement AI-driven solutions
• Generate insights supporting product planning, lifecycle management, launch readiness, portfolio optimization, and commercial execution
• Translate business requirements into analytical solutions and recommendations
• Collaborate with Product Management, Supply Chain, Finance, Sales, and Operations teams to define and track business metrics
• Analyze market, inventory, profitability, forecast, and supply data
• Present insights, dashboards, and recommendations to leadership and stakeholders
• Support business reviews, planning cycles, and ad hoc analytical requests

Data Analyst, AI

• Design, develop, test, and execute scripts to extract, transform, and load data from source systems into target databases
• Analyze source data structures, field mappings, and legacy databases to identify data quality issues, missing fields, and conversion bottlenecks
• Collaborate with business analysts and clients to define data mapping rules and validate migration completeness and accuracy
• Write scalable scripts and automated tools to streamline repeatable migration processes and reduce manual intervention
• Maintain documentation of data conversion routines, mapping logic, and exception-handling procedures
• Produce post-conversion reconciliation reports
• Diagnose and resolve data discrepancies, transformation errors, and performance issues during testing and production cutovers
• Uphold Milsoft’s values and philosophy regarding ethics, integrity, and corporate responsibility
• Maintain regular, consistent, and professional attendance, punctuality, personal appearance, and adherence to relevant health and safety procedures
• Perform other duties as necessary or occasionally assigned

Data Analyst jobs in Texas

Data Analyst II – Enterprise Solutions

Data Analyst

Country HR Analytics Specialist

Repair Quality Data Analyst, Korean Bilingual Preferred

Senior Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst, AI

Data Analyst - Programmer