Top Data & Analytics Jobs

As a Senior Analyst, you'll bridge Engineering and In-Home Services, ensuring seamless Pay TV service stability during software updates, lead project management, and implement AI-driven solutions for enhanced customer experience. Responsibilities include analyzing technical issues, mentoring junior analysts, and optimizing support workflows.

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

The role involves developing advanced risk and valuation models, mentoring junior quants, and engaging with clients on complex analytical queries.

The Senior Manager will lead model validation efforts, including economic forecasting and risk management models, while collaborating with business leaders and managing a team of analysts.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

The CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.

Design and evaluate marketplace algorithms for matching, pricing, and forecasting. Build price-estimation and demand/supply models, clean and analyze operational data, run simulations and counterfactuals, and collaborate with engineering to deploy model-driven systems that scale.

Lead development of data science technologies for industrial adhesive and tape products. Build and optimize proof-of-concept algorithms, collaborate cross-functionally, and support full application life cycle from data preprocessing and model building to deployment. Apply ML, deep learning, NLP, and computer vision methods using Python.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.

Analyze customer feedback across surveys, app stores, tickets, and calls to surface sentiment trends, issues, and opportunities. Build dashboards, reports, and models; partner cross-functionally to escalate findings and inform product, retention, and revenue decisions. Present executive summaries and continuously integrate new feedback sources.

Lead development of enterprise-level risk dashboards and semantic models in Power BI, partner with IT on data ingestion and governance, build predictive and descriptive risk models, and translate findings into actionable insights for leadership while ensuring compliance and responsible AI practices.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

As a Data Scientist, you will analyze and visualize complex data sets, ensuring data quality and deriving actionable insights for investment strategies.

Develop and deliver data insights, dashboards, and reports; lead end-to-end analytics projects; mentor junior analysts; improve data quality, documentation, and analytical systems to support portfolio decisions.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

As a Tableau Data Visualization Analyst, you will create and maintain dashboards, analyze data, and support decision-making for Field Readiness teams. The role involves connecting data sources, ensuring data accuracy, and providing insights for strategic priorities.

As a Data Integrity Intern, you will clean and optimize datasets, ensure CRM data quality, categorize data, and identify patterns in large data sets.

The Officer, Model Risk Management validates bank-wide models, ensuring compliance with regulations. Responsibilities include developing testing plans, assessing model performance, reviewing documentation, and collaborating with stakeholders for effective model governance.

The Senior Business Data Analyst will design and implement AI-driven financial solutions, enhance reporting processes, and provide insights for audit readiness and efficiency through advanced data analytics.

The intern will assist in developing analytical models for Finance, Marketing, and Commercial functions using machine learning and AI insights, while collaborating with stakeholders to drive business impact.

The Director drives the vision and strategy for Data Science and Analytics, managing teams to innovate analytics solutions enhancing data utilization in clinical trials and R&D.

The Senior Data Delivery Expert will develop data solutions for precision marketing and collaborate with teams to engage effectively with healthcare practitioners, requiring expertise in data engineering and analytics in a biopharma context.