Top Remote Analytics Jobs in Des Moines, IA

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead the analytics engineering team, build data models, ensure data quality, leverage AI for analytics, and empower product teams with insights.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.

The Pricing Actuary leads complex reinsurance transactions, mentors a team, and develops innovative analytics strategies to enhance client solutions.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Director of Data & Analytics will drive the vision and strategy for data initiatives, build a high-performing team, and oversee the implementation of data solutions.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

Manage Growth Analytics for clients by developing measurement plans, presenting insights, and training teams. Requires strong knowledge of digital marketing technologies and analytics tools.

Lead Client Solutions, Analytics by developing measurement plans, managing outputs, and collaborating on campaign execution across channels while mentoring the Business Intelligence team.

The Principal Data Analytics & Intelligence Specialist leads data management projects, develops strategies, ensures data quality, and collaborates with teams to derive insights for Private Banking.

Lead HR Analytics, utilizing data to drive decision-making and workforce planning. Oversee team, partner across departments, and innovate with AI.

The Fraud Risk Analytics Manager develops strategies to mitigate fraud risk, evaluates new tools, analyzes data, and implements fraud prevention controls in collaboration with teams and vendors.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

Oversee the development and maintenance of credit risk models, ensure compliance, validate performance, and manage a team of analysts.

Responsible for analytical data needs, guiding complex data projects, and providing insights for decision-making in workforce and talent operations.

As Commercial Analytics Manager, you'll analyze performance data to develop strategic insights, drive growth, own sales forecasting, and enhance compensation plans in partnership with Finance.

The Business Analytics Manager will analyze complex data sets, create reports and data models, and provide insights to drive sales for Collision Franchise Brands.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Lead Analytics Consultant will guide a team, define analytical strategies, optimize data processes, and collaborate with stakeholders to drive data-driven decision-making.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

This entry-level Data Engineer role involves translating business questions into data insights using semantic analytics and AI-driven workflows, transitioning from customer-facing responsibilities to backend system optimization.

As a Payment Analytics Engineer, you will ensure data consistency in payments, automate reporting, analyze interchange data, and collaborate with Engineering for data management.