Base Compensation: $89,000.00 - $145,000.00 Annually
Responsibilities
Serve as a strategic analytics partner to Marketing and Media leadership, delivering insights and recommendations that influence media strategy, investment allocation, customer acquisition, and broader business decisions.
Establish and own monthly paid media performance dashboard & develop leadership-ready narratives, and strategic recommendations that synthesize cross-channel results, business drivers, emerging trends, risks, and opportunities into clear recommendations for leadership.
Lead the development and implementation of forecasting and scenario-planning models that project traffic, leads, and business outcomes under varying media investment scenarios.
Translate forecasting outputs into strategic recommendations for senior leadership, clearly articulating expected business impact, investment opportunities, risks, and trade-offs.
Conduct competitive and market analysis to benchmark performance, identify shifts in the marketing landscape, and uncover opportunities for growth.
Requirements
Bachelor's degree in Analytics, Statistics, Economics, Marketing, Mathematics, Business, Data Science, or a related field.
Lead and develop an international Smart Analytics team, providing internal consulting and delivery for data analytics, BI, automation, and AI-enabled solutions.
Locations (2)
Prague, Prague, Czech Republic
Ostrava, Ostrava, Czechia
Responsibilities
Lead and develop an international team, including performance management, career development, upskilling, recruitment and day-to-day people leadership.
Manage capacity, skills and utilization across the project portfolio, matching customer demand with available resources.
Shape the future Smart Analytics portfolio by identifying relevant technologies, service areas and capabilities in analytics, automation and AI.
Act as a trusted partner for customers across Siemens, maintaining key accounts, identifying opportunities and ensuring effective communication throughout delivery.
Build strategic partnerships with central and business IT organizations, internal communities and technology partners.
The Investment Compliance Analyst is responsible for a broad range of activities that support the firm's compliance oversight obligations with respect to its investment activities for OneDigital Investment Advisors.
Compensation
The typical base pay range for this role nationwide is $90,000 to $100,000 per year. Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company’s performance.
Responsibilities
Maintain the firm's investments surveillance and testing program
Monitor the efficiency and accuracy of the Program
Perform ongoing surveillance, testing, and analysis of the firm's trading activity
Prepare reporting for the Chief Compliance Officer, the Investment Committee, and/or the firm's Senior Leadership Team
Assist with required annual testing of the firm's compliance policies and procedures relating to investments
Requirements
Undergraduate degree in business, finance, economics, accounting, business information systems or a related field
Nice to have: previous experience with investment data analysis and reporting
Leads the development and delivery of end-to-end data pipelines and feature store capabilities for data scientists, providing strategic direction for MDS, data scientists, and deployment teams across US Data Science.
Responsibilities
Leads the development and delivery of end-to-end data pipelines and feature store capabilities
Provides strategic and tactical direction for the department
Manages, oversees technically, and develops a team of data analysts, MLOps specialists, and subject matter experts
Owns the strategy and execution for modernizing and standardizing the modeling data lifecycle
Uses modern pipeline frameworks and scalable architecture patterns for data lineage tracking
Owns the strategy and delivery of the training and calibration data for the P&L vertical teams in US Data Science (USDS) and Product Delivery need for pricing. Leads the modernization of the department’s data architecture and manages a large organization.
Responsibilities
Owns the strategy and delivery of the training and calibration data for the P&L vertical teams in US Data Science (USDS) and Product Delivery need for pricing.
Leads the modernization of the department’s data architecture.
Provides strategic and tactical direction for the department.
Leads and develops the teams within the Modeling Data Solutions (MDS) department.
Oversees the sourcing of data from enterprise data warehouses and external vendors.
Lead the Core Architecture and Systems Engineering teams to modernize Salesforce and other core systems, drive headless architecture, and oversee the CPQ & Billing platform rebuild.
Responsibilities
Lead combined Core Architecture and Systems Engineering teams
Set technical bar for system development
Own reduction of technical debt in Salesforce and adjacent core systems
Define and drive headless architecture strategy
Partner with Systems Management on platform health
Lead end‑to‑end BI product delivery and advanced analytics for financial services, partnering with stakeholders to transform data into actionable insights.
Compensation
The base salary range for this position is $107,000-216,000 USD per year.
Responsibilities
Translate business questions into analytical requirements and deliver reporting experiences
Lead, shape, and own end‑to‑end BI product delivery of production solutions
Perform deep data discovery and optimize advanced SQL for large‑scale processing
Build scalable, high‑quality datasets through data shaping practices
Design and maintain robust data quality controls and validation
Designing, building, and maintaining the ASPCA’s enterprise data warehouse ecosystem using dbt Core, Microsoft Fabric, and Azure Data Factory within a medallion architecture.
Compensation
$138,000-143,000 annually
Responsibilities
Architect, implement, and maintain dbt Core models across the medallion architecture
Integrate MDM workflows and reference data into medallion-layer transformations
Apply mastered entities, harmonized identifiers, survivorship rules, and standardized reference values to Gold-layer models
Build data models that power enterprise analytics, reporting, and other downstream uses
Optimize SQL code and dbt Core transformation logic
Requirements
High School Diploma, GED, or equivalent experience
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field
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