Note: The job is a remote job and is open to candidates in USA. RRD provides marketing, packaging, print, and supply chain solutions for customer engagement. The Lead Data Analyst serves as a strategic advisor, partnering with clients to design and evolve marketing and data analytics programs, integrate multichannel data, develop insights frameworks, and translate analytics into business outcomes.
Responsibilities
- Partner with client leaders to co-create marketing analytics strategies that support personalization, attribution, and media mix optimization
- Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels
- Lead cross-functional analytics initiatives and enterprise-wide insights projects
- Represent analytics expertise in insight development, client consultations, strategic planning, and solution design
- Provide thought leadership across domains and mentor others in advanced analytics techniques
- Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement
Skills
- 4 Year / Bachelors Degree In a quantitative field (Minimum)
- 9 years experience in Advanced Marketing or Product Analytics roles
- Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance
- Statistical & Modeling Acumen: Must possess a strong foundation in probability theory, as well as linear, logistic, and multinomial regression
- Candidates must be able to develop custom models using modern machine learning ensembling techniques and software, as well as building custom solutions directly in R and Python
- Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches
- Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and to develop client-facing presentations
- Communication & Presentation: Strong communication and storytelling skills are an absolute must for this role. Candidates must be highly comfortable presenting to Executive-level clients
- Consultative Problem-Solving: Able to nimbly propose solutions to client problems. Although this is not a sales role, consultative selling skills are required for success
- Client Engagement: Strong active listening and documentation skills are required
- The individual in this role must be able to identify solutions for clients that extend beyond their current request
- Leadership & Autonomy: While this is an Individual Contributor role, the expectation is that the individual will be able to lead projects and oversee the work of more junior analysts
- Must be highly resourceful, capable of developing relationships with Marketing Technologies/IT and Account Management, and able to independently develop solutions with minimal supervision
- Work Style: Thrives in a dynamic, fast-paced environment. Energized by new challenges with an optimistic outlook, resilient to changes, and nimble in shifting direction quickly as needed
- Data Engineering & MLOps: Azure DevOps, Git, or similar version control background is essential
- Must have basic data engineering skills and be comfortable collaborating with data engineers to develop production processes
- Web Analytics Integration: Google Analytics and BigQuery experience
- Candidates must know how to integrate customer engagement data into analytic and modeling projects
- Graduate Degree (Preferred)
- Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred
- S**pecialized Modeling: Must have experience building customer and/or store segmentation models
- A forecasting background with the ability to build custom ARIMAX models, along with Marketing Mix and Multi-Touch Attribution experience, is strongly preferred
- Causal analysis experience is highly desirable
- Cloud & Database Platforms: Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, Microsoft Fabric, etc
- Direct experience using Microsoft Fabric to build models for clients would be ideal
- Modern Data Stack: Strongly prefer experience with model development in a modern technology stack, specifically PySpark, Snowpark, and Pandas
- Data Architecture: Understanding of graph databases and NoSQL, alongside experience working with semi-structured and unstructured data, is strongly desired
- Business Intelligence & Visualization: Familiarity with Business Intelligence solutions such as Tableau, Power BI, SiSense, and other platforms
- The ideal candidate would have some skill using these tools to generate data visualizations
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Disability insurance
- 401(k) with company match
- Life insurance
- Other voluntary supplemental insurance coverages
- Parental leave
- Adoption assistance
- Tuition assistance
- Employer/partner discounts
- Depending on the role, participation in a bonus, commission or incentive program
- Remote work arrangement
Company Overview
Company H1B Sponsorship