Top Analytics Jobs

As a Market Risk Analytics Associate, you will develop and manage analytics for risk models including value-at-risk and stress testing. Responsibilities involve executing functional testing, developing and implementing risk analytics for new products, performing quantitative research, and enhancing analytics infrastructure, while collaborating with stakeholders and creating tools to improve risk analysis.

The AWS Big Data and Analytics Architect will develop and implement data solutions, define an analytical technology roadmap, and collaborate with business leaders to establish analytics strategies. The role involves mentoring team members, creating prototypes, and driving advanced analytics initiatives across the organization.

The Supervisor, Client Reporting + Analytics leads a team of Data Insight Analysts, providing mentorship and ensuring the accurate and timely delivery of operational reports. They collaborate with cross-functional teams, monitor performance, and drive continuous improvement initiatives. This role requires a mix of technical skills in data analysis and leadership abilities to inspire the team.

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.

The Manager of Digital Analytics and Omnichannel leads the delivery of digital and omnichannel initiatives for assigned accounts, focusing on client relationship management, project oversight, and the development of best-in-class standards in marketing efforts. They ensure success through collaboration with teams and proficiency in emerging digital trends related to the life sciences industry.

As an Analytics Engineer, you'll own workstreams with minimal supervision, lead stakeholder engagement for design sessions, produce high-quality production-level code, and assist in proposal development and marketing efforts while supporting team training and professional development.

As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.

As a Managing Consultant in Data & Analytics, you will lead clients on their analytics journey, analyzing data trends, crafting roadmaps, and implementing initiatives. You'll create predictive models and visual analytics, conduct client interviews for gap analysis, and design process flows.

The Consultant will create analytic plans, manage project timelines, run SQL queries, prepare quantitative slides, present insights to clients, mentor junior staff, and enhance knowledge of consulting methodologies in the pharmaceutical market.

The Director of Client Analytics Partnership will lead a team to support client reporting and data insights, manage high-priority client partnerships, and drive strategic initiatives to enhance analytics capabilities. This role emphasizes collaboration across teams to adapt to client needs and improve overall reporting effectiveness.

As a Strategy & Analytics Manager at Mission Lane, you will lead initiatives for new products and optimize underwriting and pricing strategies. You'll analyze customer data to improve acquisition and account management, collaborating with cross-functional teams to enhance profitability and customer satisfaction.

As a Senior Data Scientist, you will analyze complex datasets to optimize product performance, create data visualizations, collaborate with product teams, and communicate insights for strategic decision-making. Your role includes working closely with engineering to ensure data integrity and analyzing customer behavior to drive product improvements.

The Manager, Advanced Analytics collaborates with clients and internal teams to measure and analyze online campaign performance, providing insights for improving ROI. Responsibilities include creating measurement strategies, conducting data analysis, managing client relations, and leading team initiatives. This role requires strong data interpretation skills and expertise in various analytics tools.

The Senior Research Scientist will lead analytics efforts in market access, conducting claims-based analyses and modeling to support life sciences companies. Responsibilities include contributing to business development, structuring statistical plans, mentoring junior analysts, and developing best practices.

As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.

Collaborate with business users to support process automations, build end-user dashboards, create reporting, and provide support for strategic expansion roadmaps in the Credit/AR organization. Utilize Process Query Language (PQL) for analytical formulas and data querying within Celonis. Document and track automation development, support vendor relationships, and optimize processes for efficiency and value creation.

As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.