
501 - 1000 employees
Founded 2005
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
itD is a technology and software development consultancy that partners with enterprise clients to design and deliver next-generation digital experiences, transform technology operations, and convert data into competitive advantage. The firm provides outcome-driven services including AI strategy and integration, data engineering and analytics, enterprise search and personalization, DevOps and cloud-native software engineering, managed services, change management, quality assurance, and digital accessibility. itD focuses on rapid, practical delivery for B2B and enterprise customers, blending full-service consultancy experience with specialized engineering agility.
đ„ 5 minutes ago
đșđž United States â Remote
â° Full Time
đ Senior
đŽ Lead
đ Data Analyst
đ» Ghost score 10%
Where this job comes from
Posted on itD's careers page, not through a job board
First seen by Remote Rocketship 5 minutes ago

501 - 1000 employees
Founded 2005
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
itD is a technology and software development consultancy that partners with enterprise clients to design and deliver next-generation digital experiences, transform technology operations, and convert data into competitive advantage. The firm provides outcome-driven services including AI strategy and integration, data engineering and analytics, enterprise search and personalization, DevOps and cloud-native software engineering, managed services, change management, quality assurance, and digital accessibility. itD focuses on rapid, practical delivery for B2B and enterprise customers, blending full-service consultancy experience with specialized engineering agility.
âą Analyze large, complex datasets using SQL, Python or R, and statistical techniques to identify customer experience trends, pain points, and opportunities for improvement âą Synthesize customer signals from surveys, digital analytics, behavioral data, operational metrics, and customer support interactions across the end-to-end customer journey âą Apply statistical modeling, predictive analytics, machine learning, and natural language processing to customer support conversations, transcripts, and tickets âą Develop customer segmentation and clustering models to identify common customer issues and recommend targeted solutions âą Integrate customer feedback with transactional, operational, and behavioral data to identify drivers of customer satisfaction and business outcomes âą Design, test, and launch customer experience and support metric scorecards to track KPIs and evaluate performance âą Leverage Generative AI tools, large language models, and AI agents to automate analysis, clean datasets, generate visualizations, and streamline workflows âą Quantify business impact and ROI of customer experience initiatives âą Communicate analytical findings through reports and presentations, influencing stakeholders and driving corrective actions âą Attend internal practice community meetings and collaborate on industry thought leadership âą Complete client case studies and learning materials, including blogs and media materials âą Build materials for the Digital Transformation practice âą Attend internal networking events and work with leadership on career fast-track opportunities
âą Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field required âą 8+ years of experience in data analytics, data science, or a related field âą 2+ years of experience in customer experience, customer support, customer insights analytics, or marketing analytics âą Strong SQL programming skills and proficiency in Python or R âą Proficiency in statistical analysis techniques, including correlation analysis, multivariate regression, and feature-importance methods âą Experience with predictive analytics, machine learning, or AI techniques âą Working knowledge of AI-powered analytical tools and Generative AI technologies, including LLMs and AI agents âą Ability to translate complex data from multiple sources into clear, actionable insights tailored to stakeholder needs âą Demonstrated ability to collaborate with cross-functional teams and communicate technical findings to non-technical audiences âą Candidates must be able to work Central or Pacific Time hours âą Direct W2 candidacy required; sponsorship is not offered
âą Comprehensive medical benefits âą Dental insurance âą Vision insurance âą Life insurance âą 401(k) plan âą 401(k) matching âą Paid holidays âą Networking and career learning and development programs âą Potential for contract extension or conversion
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