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Top Analytics Jobs in Pittsburgh, PA
The Senior Loyalty & CRM Strategist will lead customer loyalty initiatives, focusing on engagement and retention strategies aligned with business goals. Responsibilities include developing and optimizing CRM marketing plans, analyzing customer data, and collaborating with cross-functional teams to enhance customer experiences.
As a Senior Associate, you will help organizations leverage data analytics for business growth, assist clients in defining data strategies, migrate to modern cloud environments, and drive data initiatives aligned with organizational goals at PwC.
As a Revenue Strategy Lead, you will identify business improvement opportunities, lead strategic projects, enhance cross-functional collaboration, and create scalable processes to address core business challenges in a high-growth environment.
The Software Engineer Principal role at PNC involves aligning business strategy with software solutions, designing and coding software to meet complex business needs, and providing technical guidance. The candidate will work on Oracle database architecture and automation in Linux while collaborating with other team members.
The Senior Manager, Go to Market Analytics will drive data-driven decision-making processes within the organization, focusing on forecasting and measuring revenue performance, optimizing go-to-market strategies, and leading a team of analysts. Responsibilities include operational modeling, performance measurement, and collaborating across departments for efficient reporting and data management.
This role focuses on partnering with the sales team to drive business growth through data-driven recommendations and performance monitoring. It requires translating complex data into actionable insights for clients, creating automated reporting solutions, and building lasting relationships with clients' analytics teams.
As a Cloud Data & Analytics Strategy Senior Associate, you'll assist clients in aligning their data strategies with business objectives, choosing platforms, defining data needs, and migrating to cloud environments. You'll leverage a variety of tools to extract insights and solve complex business issues, while developing leadership skills and fostering teamwork.
The Senior Manager in Data & Analytics at PwC will design and build data infrastructure and systems, develop data pipelines, and transform raw data into actionable insights. Responsibilities include leading teams, managing client relationships, conducting quality assurance, and applying advanced technology solutions to enhance business growth.
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As a Cloud Data & Analytics Senior Manager, you will help organizations drive business results through data analytics, align client data strategies with business strategies, and assist in selecting platforms and migrating to cloud data environments. You will work with diverse teams to implement cloud data architecture and manage client relationships.
As Credit Analytics Manager, you will optimize cash advance products by refining credit policies, implementing new risk models, and collaborating with product and finance teams. The role involves leading workstreams from concept to execution to drive growth and enhance customer financial well-being.
The Senior Healthcare Analytics Analyst will conduct complex analyses to drive strategy and enhance product performance. Responsibilities include optimizing auto-decisioning strategies, building reporting solutions, and collaborating on insights with internal teams. The role requires a customer-first mindset and requires delivering high-quality analytical work to improve patient care.
The Marketing Analytics Lead will develop and execute marketing analytics strategy, improve measurement and attribution, and enhance marketing performance. This role requires building foundational data infrastructure and collaborating closely with the Growth Marketing team to optimize growth efforts.
As a Staff Data Analyst at Upstart, you will influence credit platform decisions, conduct credit monitoring, build financial models, analyze credit trends, mentor junior team members, and collaborate with cross-functional teams to enhance investor confidence in Upstart's AI lending technology.
As the Senior UX and Analytics Lead, you will enhance user experience for Risk Ripple Analytics by producing design deliverables, analyzing engagement metrics, and optimizing user satisfaction. You'll leverage data insights to improve design strategies and collaborate with stakeholders to align business and user needs, driving product adoption and engagement.
The Senior Data Analytics Engineer will build and maintain data pipelines, define reusable data sets for various business functions, and design frameworks to validate data consistency. Responsibilities include ensuring user privacy and security while leveraging the latest tools for data optimization and delivery.
As a Cloud Data & Analytics Manager, you will help clients align their data strategies to business objectives, select platforms, define data requirements, and migrate to modern cloud data environments. You will also manage team performance and facilitate problem solving while utilizing insights for strategic decisions.
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
The Microsoft Solutions Architect is responsible for client-facing pre-sales consultancy, developing technical proposals for Data & Analytics solutions that match client requirements, and ensuring successful delivery while maximizing profit for CDW. This role includes creating design documents, engaging in account prioritization strategies, and building strong relationships with partners and clients.
Responsible for the strategic direction, development, and deployment of EDB Postgres AI. The role includes defining product strategy, working across departments for alignment, driving OLTP initiatives, conducting market research, gathering customer feedback, and leading a team of product managers.
As a Data Analytics Engineer, you will design and maintain scalable data pipelines, automate workflows, and develop predictive models while collaborating with cross-functional teams. You'll support data governance and work with various tools to enhance analytics and reporting capabilities.
The Commerce Analytics Specialist II role involves analyzing data to optimize the customer demand funnel at CrowdStrike. Responsibilities include utilizing analytical tools to extract insights, improving key friction points in the commerce process, developing strategies, providing forecasts, and monitoring campaign performance to ensure success.
As a Cloud Data & Analytics Manager, you will assist clients in developing data strategies aligned with their business goals, manage cloud data architecture implementations, and coach team members. Your role involves analyzing complex ideas, leveraging data insights, and improving analytics solutions to enhance decision-making and drive business outcomes.
The Principal SAP Reporting Configuration Engineer is responsible for analyzing, developing, and configuring SAP Reporting tools. They support production users, document architecture, coordinate interdependencies, and lead team members. They also consult on complex technology solutions and participate in development activities related to business processes and enhancements, while mentoring junior staff.
The Senior Manager in Data & Analytics at PwC will lead data engineering projects to transform raw data into insightful analytics, develop data pipelines, and manage technology workstreams. The role involves coaching teams, engaging with clients, and ensuring high-quality delivery of data solutions while collaborating across various technology platforms.
The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.
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