Sr. Technical Business Analyst – Loyalty Systems
Listed on 2026-01-11
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Warehousing
Sr. Technical Business Analyst – Loyalty Systems
This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$65.00/hr - $70.00/hr
Direct message the job poster from Akkodis
Akkodis is seeking a Senior Technical Business Analyst – Loyalty Systems with a client in Chicago, IL 60606-Hybrid for 6 months contract.
Title: Technical Business Analyst – Loyalty Systems
Location: Chicago IL 60606-Hybrid
Duration: 6 months Contract
Pay Rate: $65-$70/hr on W2 (The rate may be negotiable based on experience, education, geographic location, and other factors.)
PurposeWe are seeking a highly experienced Senior Technical Business Analyst / Data Architect with a strong background in customer loyalty systems to lead the design, integration, and optimization of data and business solutions across our loyalty platform ecosystem. This hybrid role demands a unique blend of business acumen, systems thinking, and deep technical expertise in data modeling and architecture, particularly within loyalty or customer engagement environments.
Positionresponsibilities
- Partner with stakeholders across product, marketing, CRM, and IT to gather, analyze, and prioritize business requirements related to loyalty program capabilities (e.g., accrual, redemption, tiering, member lifecycle).
- Translate business needs into detailed technical specifications and solution designs.
- Document system and process flows, data mappings, and interface specifications for loyalty system integrations.
- Analyze loyalty program performance, customer data, and behavioral metrics to inform system design and enhancements.
- Support stakeholder alignment by leading workshops and presenting solution designs.
- Lead the design and implementation of end-to-end data architectures supporting loyalty programs, including customer profiles, transactional history, engagement metrics, and campaign data.
- Design and maintain conceptual, logical, and physical data models for loyalty ecosystems.
- Define data integration strategies and oversee data flow design between loyalty platforms, CRM, POS, mobile apps, and enterprise data warehouses.
- Ensure alignment of loyalty data models with enterprise architecture and data governance standards.
- Collaborate with data engineers, developers, and Dev Ops teams to ensure solutions are robust, scalable, and optimized for performance.
- Evaluate new loyalty platforms or enhancements and provide architectural recommendations.
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
- 6+ years of experience in business analysis and data architecture roles, with significant focus on customer loyalty systems or CRM platforms.
- Deep experience with loyalty business processes: point accrual/redemption, member tiers, campaign targeting, personalization, breakage analysis, etc.
- Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Big Query, Azure Synapse, AWS Redshift).
- Proficiency in data modeling tools (e.g., ER/Studio, Lucidchart, dbt, ERwin).
- Experience working with API integrations, event-based data pipelines, and microservices architecture.
- Familiarity with enterprise loyalty platforms (e.g., Salesforce Loyalty, Oracle Loyalty Cloud, Comarch, Session
M, Annex Cloud, Kobie, etc.). - Experience with tools like Airbyte, dbt, Airflow, Fivetran, or Talend for data orchestration.
- Proven ability to act as a bridge between technical teams and business stakeholders.
- Strong documentation, communication, and presentation skills.
- Experience in high-volume, customer-centric industries (retail, travel, hospitality, QSR).
- Familiarity with customer identity resolution, real-time personalization, or CDPs (Customer Data Platforms).
- Understanding of data privacy and compliance regulations (GDPR, CCPA).
- Knowledge of A/B testing, attribution modeling, and predictive analytics in loyalty contexts.
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field required and 6+ years of experience in business analysis and data architecture roles.
- Mid-Senior level
- Contract
- Information Technology
- IT Services and IT Consulting
- Hospitality
Equal Opportunity Employer/Veterans/Disabled
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