Top Data & Analytics Jobs

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 Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

Lead and execute analytics across client engagements: measurement strategy, reporting, advanced measurement (attribution, incrementality, experimentation), AI-enabled analytics, and team leadership. Ensure analytics inform media planning, deliver scalable measurement frameworks, and drive client-facing insights tied to business outcomes while mentoring an analytics team.

Lead analytics planning and delivery across client engagements, translate data into business outcomes, drive advanced measurement (attribution, incrementality, experimentation), integrate AI and automation into workflows, mentor and grow analytics teams, and partner cross-functionally to inform media strategy and optimize performance.

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

Front-office commodities quantitative analyst supporting portfolio managers and traders. Develop and maintain statistical, econometric and ML models, risk and pre-trade analytics, systematic and option strategy research, and scalable Python tools across energy, power, metals, agriculture and soft commodities.

Leads Pacsun’s enterprise business intelligence, data warehouse, analytics, and system integration strategy. Oversees BI developers and analysts, MuleSoft integrations, retail systems including Microsoft D365 and Manhattan OMS/POS, ETL and OLAP initiatives, data architecture, modeling, validation, and AI-driven predictive analytics. Partners with business and IT leaders on ERP and financial system transformation, resolves technical challenges, documents data designs, and mentors the BI team.

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Leads General Liability insurance pricing analytics, predictive modeling, model governance, and data science strategy. Develops, validates, deploys, and monitors advanced statistical and actuarial models supporting underwriting, profitability, and pricing decisions. Partners with actuarial, underwriting, product, claims, finance, and technology teams; communicates recommendations to senior leaders; manages complex projects; and leads, coaches, and develops analytical staff.

The Business Analytics Manager develops operational reports, dashboards, scorecards, and business intelligence solutions for Contact Center Operations. Responsibilities include analyzing customer and operational data, identifying trends and root causes, automating reporting processes, modernizing analytics platforms, applying AI-enabled tools, and presenting actionable recommendations. The role partners with business, technology, product, and analytics stakeholders to improve performance, customer experience, reporting reliability, and data-driven decision-making.

Leads the strategy, architecture, and execution of an enterprise data platform supporting analytics, machine learning, operational systems, and AI applications. Manages and mentors data platform engineers while remaining hands-on with architecture, reliability, technical direction, and troubleshooting. Oversees pipelines, orchestration, governance, security, observability, data contracts, migrations, and platform operations. Partners cross-functionally to translate business needs into scalable technical solutions and communicates decisions to technical and non-technical stakeholders.

Manage analytics consulting projects for Life Sciences clients, delivering marketing, commercial, Real World Data, market mix modeling, and predictive modeling solutions. Responsibilities include developing analysis plans, analyzing healthcare datasets, leading client discussions, presenting recommendations, ensuring quality and timely delivery, and managing team engagement. The role requires strong client-facing consulting skills, knowledge of biopharma commercial analytics, patient analytics, payer and market access concepts, and clear written and verbal communication.

Design and build end-to-end data pipelines and integrations on Databricks, implement medallion architectures, develop streaming and NiFi pipelines, integrate purpose-built stores, operationalize ML/MLOps (training, deployment, monitoring), and explore LLM/RAG generative AI solutions while enforcing data governance, security, and performance for large-scale analytics.

Collect, analyze, and interpret complex datasets to create and maintain customer-facing Tableau reports; collaborate with customer services and development teams to scope reports and data models; investigate data accuracy issues and communicate insights to stakeholders.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Inductive Bio seeks to build relationships with talented individuals for upcoming roles in drug discovery, including Toxicologists, Machine Learning Scientists, and Product Management. Candidates should be passionate about accelerating drug discovery and possess strong collaboration skills.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

The Senior Data Scientist will solve complex problems, mentor junior team members, conduct analyses, build models, and collaborate with various business units to enhance data science capabilities and strategies.

Analyze large credit-card datasets to identify trends and recommend operational and risk improvements. Build KPIs, statistical models, and ML/AI solutions, produce executive presentations, mentor junior analysts, and participate in hiring and performance management to drive organizational performance.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

Lead Data & Analytics Product Development, focusing on identifying, developing and monetizing data products, while overseeing a team and shaping AI strategies.

Perform data acquisition, cleaning, integration, modeling and visualization to support ITSM and enterprise operations. Build and maintain Tableau dashboards, apply machine learning and predictive models, and present insights to stakeholders while collaborating across cybersecurity, compliance, operations, and engineering teams.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.