Top Analytics Jobs

The Senior Data Scientist in Marketing Analytics will collaborate with the Marketing team to enhance the ROI of marketing initiatives through statistical modeling, machine learning, and data mining. Responsibilities include leading Media Mix Models, establishing marketing measurement frameworks, performing in-depth marketing performance analyses, and developing dashboards to communicate insights.

The Senior Staff Data Scientist will work closely with the Marketing team to enhance marketing initiatives through statistical modeling and machine learning. Responsibilities include implementing Media Mix Models, conducting performance analysis, building attribution models, and developing dashboards to communicate insights. Staying updated with industry trends and technologies is also crucial.

The Manager, Risk Analytics is responsible for overseeing fraud loss mitigation and controls. Key responsibilities include monitoring KPIs, designing fraud strategies, managing a team of analysts, collaborating with data and engineering teams, and managing fraud vendors. This role emphasizes data-driven decision-making and project management within the scope of fraud risk management.

The Analytics Engineer will enhance the data capabilities of analysts and stakeholders by architecting data models, building data pipelines, improving data governance, and providing training. Key responsibilities include monitoring data health, developing analytic frameworks, and standardizing data processes across various domains like growth and finance.

The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.

The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.

The Data Analytics Consultant, Claims designs and models organizational data to provide insights for business operations. They build dashboards, report findings, and identify IT solutions for enhancing analytics, while guiding new team members and collaborating across analytical teams.

As an Associate Director in Advanced Analytics, you will lead the execution of the advanced analytics strategy for Takeda's Oncology Business Unit, focusing on data-driven decision-making to support commercial growth. Your role involves designing and executing key analytics, developing standardized frameworks, and engaging effectively with business users, all while leveraging advanced data science methodologies and analytics tools.

The Associate Director of Launch Analytics will lead a team to analyze market data, synthesize strategic insights for new product launches, and provide guidance on marketing and sales strategies. Responsibilities include managing analytics projects, developing business insights, and collaborating with cross-functional teams to enhance marketing effectiveness.

The role involves managing client service accounts, supervising teams, and leveraging technology and data analysis to improve decision-making in deals. Key responsibilities include coaching team members, maintaining quality deliverables, and building tech-driven solutions for client engagements.

As a Deals Tech & Data Solutions Associate at PwC, you will leverage advanced analytics techniques to analyze large datasets, support clients in decision-making, and navigate multiple engagements while developing your skills in business consulting.

As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.

As a Cloud Data & Analytics Manager at PwC, you will lead teams in aligning client data strategies with business needs, choosing platforms, and migrating them to modern cloud environments using various cloud providers. You will analyze data and insights to support decision-making and coach others to facilitate effective teamwork.

This position involves aligning client data strategies with business goals, assisting in platform selection, defining data needs, and migrating to modern cloud environments. Responsibilities include coaching team members, analysing complex ideas, developing recommendations, and managing global trends impact on clients.

A Cloud Data & Analytics Manager role within Financial Services-Insurance at PwC. Responsibilities include aligning client data strategies, choosing a platform, defining data needs, and migrating to a modern cloud data environment using various cloud providers. The role also involves developing new skills, resolving issues, coaching, analysing complex ideas, and using data and insights to inform decisions.

As a Cloud Data & Analytics Manager, you'll assist clients with aligning their data strategies to business objectives, choosing cloud platforms, and migrating to modern cloud environments. You'll employ various technologies and analytics to drive insights, support decision-making, and help organizations innovate and manage risks effectively.

As a Cloud Data & Analytics Manager, you will help organizations uncover insights and drive business results using data analytics. Responsibilities include aligning client data strategies to business goals, choosing platforms, defining data needs, and migrating to modern cloud data environments. You will also develop skills, coach team members, analyze complex ideas, use data insights, and manage global trends. The role requires a Bachelor's degree and 7 years of experience, with preferred certifications in cloud platforms like AWS, Azure, GCP, or Snowflake.