Top Analytics Jobs
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.
The role involves complex data analysis, providing strategic insights, and automating tasks to improve efficiency across business units. It includes working with stakeholders on process improvements and delivering presentations to senior management while driving automation projects and maintaining performance reports.
Featured Jobs
As a Decision Analytics Associate Consultant, you will analyze healthcare data from Electronic Health Records (EHR) to extract insights, support healthcare providers, and apply statistical models to inform decision-making. You will design custom analyses to address client needs and communicate results effectively while developing client relationships.
As a Decision Analytics Associate Consultant, you will analyze healthcare data, particularly Electronic Health Records, to derive insights that enhance decision-making and patient care. You will develop statistical models, synthesize results, and support provider clients through tailored analyses and presentations.
Analyze healthcare data, focusing on extracting insights from Electronic Health Records (EHR) to improve decision-making and patient care. Collaborate with clients to understand their data needs, ensure data quality, and communicate actionable insights. Play a critical role in executing analytics plans and delivering solutions to healthcare providers.
As a Decision Analytics Consultant, you'll analyze and manage healthcare data, focusing on extracting insights from Electronic Health Records to support healthcare providers. You'll collaborate with clients to assess their business information needs, derive quantitative answers, and communicate results to inform decision-making and improve patient care.
As a Decision Analytics Associate Consultant, you'll develop advanced statistical models and AI solutions, analyze data for client decision-making, and communicate results. Responsibilities include designing custom analyses using various tools, guiding teams, and improving capabilities through mentoring and project deliverables.
The Collateral Eligibility Business Architect VP will drive governance and business integration of J.P. Morgan’s Collateral Eligibility Service, focusing on data management, process improvement, and innovation in collateral efficiency for liquidity and transaction management.
As a Quant Analytics Associate, you will work with teams to analyze JP Morgan Chase's branch and ATM distribution, implement analytic roadmaps, create dashboards in Tableau, and provide insights to stakeholders.
As a Senior Associate in Risk Management, you will lead analytical projects to identify credit risks, integrate data for reporting, and provide insightful updates to executives and regulators. Your role will focus on developing methodologies to mitigate delinquencies and credit losses while supporting risk reporting and data validation processes.
The Strategic Analytics Vice President in Risk Management at JPMorgan Chase is responsible for analyzing credit performance and managing risks associated with consumer finance. The role involves developing analytical projects, automating controls for monitoring credit profiles, collaborating with cross-functional teams, and providing insights to senior management while mentoring analytic professionals.
The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.
Develop credit risk strategies for consumer lending, optimize portfolio performance, and lead data-driven initiatives. Responsibilities include creating reporting dashboards, managing a team of analysts, analyzing trends, and collaborating with senior leadership and cross-functional teams.
The Senior Director of Data will lead a multidisciplinary data organization focused on analytics, data infrastructure, and AI initiatives. Responsibilities include building data strategies, managing a team of data professionals, and ensuring effective use of customer data while partnering across the organization to optimize product features.
As a Supply Chain Data Analytics Co-op, you will work alongside experienced professionals to develop analytics solutions including data pipelines and dashboards. The role involves working with large datasets, predictive modeling, and visualization tools to drive operational change in the supply chain.
The Senior Data Analyst will support the Customer Product Analytics team by analyzing product performance through deep insight analysis, A/B testing, and innovative measurement methods. The role involves crafting data into narratives to inform stakeholders and assist in strategic decision-making within realtor.com.
As an Analytics Engineer at Peloton, you will build and maintain data models and infrastructure, ensuring data quality through monitoring and troubleshooting pipelines. You will work closely with stakeholders to develop Looker dashboards and documentation while promoting best practices within the team.
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The Senior Data Scientist will drive collaboration across teams to analyze data for fraud risks, build machine learning models, and provide insights for risk mitigation. Responsibilities include data refinement, project prioritization, mentoring, and establishing best practices in data science.
As an Analytics Feature Engineer, you'll work with data scientists to preprocess, transform, and create features from raw data for machine learning models. You'll monitor feature performance, optimize data pipelines, and ensure data quality using tools like Airflow and Databricks, while collaborating across teams.
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