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Salary
$150k per year
Location
Remote/Hybrid (Atlanta, United States)
Seniority
Senior · 8+ years exp
Employment
Contractor
Overview
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It's pretty magical when your career, your skills, your curiosity, and your passions align. At Stable Kernel, we strive for this every day because we know that when we get this right our colleagues, clients, and our company thrive. Since 2013, we...

About the Company:

Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.

 We’re a privately held, Great Place to Work Certified Company™ with multi-awards for our amazing culture. Plus we have an impressive 10+ year

trajectory of sustainable growth. At Stable Kernel, we support our colleagues in ways that help them do some of the best work of their lives.

About the Role:

As a Stable Kernel Senior Systems Analyst, you will join an existing team, including other Analysts, embedded within a major national QSR client's Core Loyalty program. This is not a traditional requirements-gathering role: you will own discovery for loyalty services, lead cross-functional coordination across vendor and engineering teams, manage a live production support channel, and shape how the loyalty platform evolves through re-architecture and new integrations. Your blend of technical knowledge, systems thinking, and communication skills allows you to partner with client product owners and tech leads to define the “why” and “how”

behind complex loyalty initiatives, from build through support. Demonstrated experience building or re-architecting a loyalty program is required for this role. Senior Systems Analysts report directly to the Lead Business Analyst.

You may be classified as individual contributors or as people managers with individual contributor responsibilities.

Core Responsibilities Include:

  • Technical Impact:
    • Leading discovery for loyalty services, including redemption offers,

    promotions, loyalty rewards, and reward template management.

    • Mapping current- and future-state architectures across loyalty data models,

    integration points, and dependent services, including identifying data ownership

    ambiguities and re-architecture opportunities.

    • Partnering with tech leads and engineering teams to author data contracts

    and negotiate vendor integrations, including asynchronous/batch API patterns,

    idempotency, polling-based status checks, and vendor-specific authentication

    (SSO, API key rotation, IP whitelisting).

  • •Inheriting and reconciling in-flight technical documentation, picking up active

    vendor integrations mid-stream, and working across multiple document versions

    (e.g. external vs. internal data contracts).

  • Business Alignment:

    • Understanding the client’s business and loyalty program goals and using

    them to improve the definition for your team’s projects.

    • Shaping scope and sequencing for complex initiatives, including defending

    boundaries with client leadership when scope pressure arises.

    • Facilitating team conversations to clearly identify gaps, risks, and

    assumptions to accurately estimate work.

    • Understanding SK’s service offerings and cross-department capabilities,

    identifying organic growth opportunities, and supporting the statement of work

    process.

  • Interacting with Others:

    • Serving as a recognized point analyst for core loyalty work alongside your

    fellow analyst, fielding questions from engineering, QA, and client business

    stakeholders.

    • Leading structured working sessions with client teams including product

    owners, tech leads, vendor partners, and business operations.

    • Communicating risks, trade-offs, and scope implications with clarity while

    coordinating with dependent teams to surface upstream and downstream

    impacts.

  • Autonomy and Ambiguity:

    • Managing a live production support channel, triaging and resolving issues

    using tools such as Postman and API inspection.

    • Creating and maintaining playbooks and troubleshooting guides for client

    support teams to reduce escalation volume and enable self-service resolution.

    • Breaking down work for estimation and implementation, building structured

    epics and tickets that allow engineering teams to begin without ramp-up friction.

    • Succeeding with ambiguity, including standing up quickly on a program

    already in progress, and leading Discovery sessions that inform product roadmap

    decisions founded in data.

  • Problem-Solving:

    • Identifying and solving high-priority, complex problems and distilling them into

    short- and long-term solutions quickly and effectively.

    • Monitoring solution health across loyalty services and identifying patterns that

    warrant proactive escalation or re-architecture.

    • Recognizing and mitigating risk effectively, navigating difficult situations by

    independently finding a way forward or escalating with a possible solution.

  • Leadership:

    • Driving best practices across your project and client program, contributing

    templates, approaches, and domain insights back to the BA practice.

    • Mentoring junior and intermediate colleagues through constructive feedback,

    guidance on complex projects, and team learning sessions

  • •Demonstrating strong product leadership skills, including planning,

    delegating, making critical decisions, and representing the team in client

    conversations.

  • Intimate, Working Familiarity With:
  • API testing tools such as Postman, including inspecting calls and diagnosing

    integration issues.

    • Data transformation pipelines and layered data concepts (e.g., bronze/silver/gold

    environments such as Databricks or similar).

    • Cloud, network, log, and application performance monitoring tools.
    • Vendor data contract negotiation and asynchronous/batch API integration patterns

    (idempotency, polling, status endpoints, rate limiting).

    General Requirements:

    • 8-10 years of experience as an analyst.
    • Demonstrated, hands-on experience building or significantly re-architecting a customer

    loyalty program is required. You can speak to the data model, the reward lifecycle, and

    the business trade-offs involved.

    • Experience working in a consulting or professional services organization.
    • Experience partnering with engineering and data teams to identify, design, and

    implement AI-enabled capabilities such as decisioning, automation, personalization, or

    insight generation within backend systems.

    •A bachelor’s degree in computer science, information technology, or similar.

A Bit More Info:

Minimum Hourly Rate: $75

This is a full-time contract position.

Stable Kernel operates a People Before Place Hybrid model, allowing most employees to

choose where they can do their best work most days. Travel may be associated with this role as it requires you to maintain an in-office presence in a

hybrid capacity for regular in-person engagements for both clients and internal teams.

Stable Kernel’s culture is inclusive and expansive. We celebrate diversity in its many glorious

forms and do not discriminate on the basis of race, religion, color, national origin, gender role

orientation, sexual orientation, age, marital status, veteran status, or disability status.

*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.

 

Stable Kernel’s culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate based on race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.

However, we will discriminate against those unwilling to comply with the practice of our company values:

  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

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