Own the full data lifecycle, understanding where data originates, how it changes, and how it moves across business applications and the data warehouse.
Design, build, and maintain data models, transformations, pipelines, and scheduled processes that support reporting, analytics, and AI applications.
Manage data integrations between NetSuite, the warehouse, and other enterprise systems, including data written back to source applications.
Ensure data quality and reliability by monitoring pipelines, warehouse performance, and data flows, and resolving issues at their root cause.
Support warehouse operations, including job scheduling, access management, storage, and performance optimization.
The Associate Director manages a Data Systems Engineer and delivers technology improvements to the Data Warehouse environment, focusing on ETL processes, metadata, and translating business requirements into technical solutions.
Compensation
$140,000 to $157,000
Responsibilities
Lead the design, implementation, and ongoing enhancement of the Advancement Data Warehouse platform
Develop and maintain conceptual, logical, and physical data models supporting reporting, analytics, and operational intelligence
Design and oversee ELT pipelines that ingest and transform data
Establish standards for data modeling, business rules implementation, and warehouse development practices
Lead development of curated reporting and analytic data structures that balance usability, performance, and long-term maintainability
The Data Analytics Engineer will serve as a data engineering and analytics resource within a cross-functional team, developing data solutions, processes, and visualizations that support the Consumer Lending business.
Compensation
The salary range for this position is $83,000 - $110,000 per year, plus an opportunity to earn an annual discretionary bonus.
Responsibilities
Execute, monitor, and maintain existing data delivery processes and workflows.
Design, develop, and implement new data delivery processes to support evolving business needs.
Identify, triage, and resolve data quality, process, and production issues as they arise.
Partner with team members and business stakeholders to understand key objectives, requirements, and data needs.
Apply creative and structured problem-solving to address requests with varying levels of complexity and definition.
Requirements
Bachelor’s degree in Statistics, Data Science, Computer Science, or a related quantitative or technical field
Master’s degree in a related field
Nice to have: Credit card industry experience
Nice to have: Consumer lending industry experience
Build and execute client marketing campaigns, manage digital journeys, and collaborate with data science, compliance, and sales teams to drive engagement and lead generation.
Compensation
The estimated base salary range for this position is $100,000- $130,000. Additionally, this position is eligible for an annual discretionary bonus.
Responsibilities
Design, build, and deploy automated digital marketing journeys
Contribute to development of campaign process and resources
Manage investment content subscriptions and subscription workflows
Develop audience segmentation and targeting models
Build dashboards and reports on engagement and conversion
Requirements
Bachelor’s degree in Marketing, Communications, Business, or a related field
Nice to have: certifications such as Salesforce, Marketo, HubSpot
Analyze medical, pharmacy, clinical, financial, and eligibility data to drive cost and utilization insights, forecast trends, evaluate programs, and recommend strategy for The Wonderful Company’s U.S. self-funded health plans.
Locations (2)
West Los Angeles, California, United States
Delano, California, United States
Compensation
Salary: $110,000-$125,000 and may include a discretionary bonus. Final compensation will be dependent upon skills & experience.
Responsibilities
Analyze medical, pharmacy, clinical, financial, and eligibility data using SQL and other analytical tools to identify cost drivers, utilization patterns, and emerging trends.
Develop forecasting models, cost projections, trend analyses, and scenarios to support budgeting and long-term health plan strategy.
Translate complex healthcare data into actionable recommendations related to plan design, cost management, clinical programs, and employee health outcomes.
Establish financial, clinical, and utilization metrics and reporting frameworks to monitor health plan performance.
The Demand Planner manages forecast inputs and planning parameters for restaurant and DC replenishment to meet established quality thresholds and provide acceptable outputs to all stakeholders.
Compensation
Starting Salary is $83,000-$95,000 with a 5% targeted bonus
Responsibilities
Manage forecast inputs and planning parameters for restaurant and DC replenishment to meet established quality thresholds and provide acceptable outputs to all stakeholders.
Use machine learning, statistical, and judgmental forecasting methods to produce forecasts that support supply chain decision-making.
Apply statistical/machine learning models to generate accurate sales forecasts.
Help ensure restaurant and DC level forecasts meet established goals for accuracy by monitoring consumer sales, marketing activity, and menu offerings.
Analyze sales and inventory data to identify trends, manage item performance, and optimize demand forecasting accuracy.
Requirements
Bachelor’s degree in Business, Information Management, Statistics, Mathematics, Operations Research, or related field
A top-tier analytics professional to deliver insights that drive growth, serving as a trusted thought partner to product and business teams through experimentation, analysis, modeling, and dashboard development.
Compensation
The annual base salary for this role is $160,000-$165,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair’s competitive total compensation package which includes equity, benefits and additional perks.
Responsibilities
Leverage data to drive user growth, identify trends, and influence product and business decisions
Collaborate with cross-functional business partners to address key analytical questions and evaluate hypotheses
Define and manage key metrics that inform strategic product, growth, and operational decisions
Put data at the fingertips of stakeholders and enable them to independently explore and utilize data
Build efficient data ingestion and transformation pipelines using tools like dbt
Designs, develops, and implements automation and control systems for fiber optic cable manufacturing, supporting process improvements, capital projects, and equipment upgrades.
Compensation
The range for this position is $88,834.00 - $122,148.00 assuming full time status.
Responsibilities
Create, modify, debug, and monitor Allen-Bradley PLC programs
Design and implement control systems and automation projects
Support capital expansion, process improvement, and equipment obsolescence projects
Work with external system integrators to deliver integrated equipment
Support all project phases, including design, testing, installation, startup, and training
Requirements
BS or MS in Electrical Engineering or Mechanical Engineering
Nice to have: Allen-Bradley PLCs
Nice to have: motion control
Nice to have: industrial communication protocols
Nice to have: diagnostic skills with electromechanical systems
Lead client-embedded AI workstreams, design and deploy scalable AI solutions, manage multidisciplinary teams, and drive responsible AI practices.
Compensation
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $150,700 to $251,200
Bay Area California offices – $157,100 to $261,600
All other offices locations in the US, including Sacramento – $125,500 to $230,200
Responsibilities
Lead client-embedded AI workstreams from opportunity identification to value measurement
Redesign client processes for human-AI collaboration
Manage lean multidisciplinary teams
Build trust with stakeholders and lead product delivery
Define solution architecture and guide development of agentic workflows
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