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Akkodis

Akkodis

via LinkedIn

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Data Architect/ Technical Business Analyst – Loyalty Systems

Chicago, IL
Contract
Posted 1/6/2026
Verified Source
Key Skills:
Data Modeling
SQL
Data Architecture
API Integration

Compensation

Salary Range

$270K - 291K a year

Responsibilities

Design and implement data architectures supporting loyalty programs, collaborate with stakeholders, and ensure scalable, high-performance data solutions.

Requirements

Requires 6+ years in business analysis and data architecture, deep experience with customer loyalty systems, SQL, cloud data platforms, and data modeling tools.

Full Description

Akkodis is seeking a Data Architect/Senior Technical Business Analyst – Loyalty Systems with a client in Chicago, IL 60606-Hybrid for 6 months contract. Title: Data Architect/ 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. This role will serve as a critical link between business stakeholders, technical teams, and data infrastructure, ensuring loyalty program requirements are translated into scalable, secure, and high-performance data solutions. Position responsibilities: Business Analysis 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. Data architecture responsibilities: • 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 DevOps 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, BigQuery, 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, SessionM, 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. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

This job posting was last updated on 1/8/2026

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