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Sr. Technical Business Analyst – Loyalty Systems

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Akkodis
Contract position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 65 - 70 USD Hourly USD 65.00 70.00 HOUR
Job Description & How to Apply Below
Position: Sr. Technical Business Analyst  – Loyalty Systems

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.)

Purpose

We 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.

Position

responsibilities
  • 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.
Experience and qualifications Required skills
  • 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.
Preferred 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.
Education
  • 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.
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
  • IT Services and IT Consulting
  • Hospitality

Equal Opportunity Employer/Veterans/Disabled

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