About careeraxis
careeraxis is a global leader in industrial manufacturing, delivering cutting‑edge solutions that power, transmit, and control motion across a wide spectrum of industries—from factory automation and aerospace to medical devices and renewable energy. With a workforce of over 30,000 associates worldwide, careeraxis is committed to sustainability, innovation, and creating a better tomorrow. Our culture is built on collaboration, continuous learning, and a relentless focus on customer value.
Why This Role Matters
In today’s data‑driven world, customer insights are the lifeblood of competitive advantage. As a Business Systems Analyst – Customer Data Domain, you will be the bridge between business strategy and technical execution, ensuring that careeraxis’s customer data ecosystem is not only robust and compliant but also poised to unlock actionable intelligence. Your work will directly influence product roadmaps, customer experience initiatives, and the overall data maturity of the organization.
Key Responsibilities
Domain Logic Modeling & Architecture
- Design, refine, and validate domain‑specific logic models and entity‑relationship diagrams (ERDs) that underpin customer data management.
- Lead cross‑functional workshops with product owners, data architects, and engineering teams to iterate on logic constructs, ensuring alignment with strategic business goals and technical feasibility.
- Document and maintain a living repository of domain models, versioned and accessible to all stakeholders.
Outside‑In Technical Insights
- Stay ahead of industry trends by monitoring emerging technologies such as Customer Data Platforms (CDPs), Master Data Management (MDM), and Event‑Driven Architecture (EDA).
- Conduct benchmarking studies and gap analyses against best‑in‑class practices, translating findings into actionable recommendations for careeraxis’s data strategy.
- Champion the adoption of innovative analytics tools and methodologies that enhance customer segmentation, predictive modeling, and real‑time decision making.
Advanced Technical Guidance
- Advise product owners on leveraging modern data stack capabilities—cloud data warehouses (Snowflake, Azure Synapse), streaming platforms (Kafka, Azure Event Hubs), and API integrations—to maximize customer data value.
- Translate business requirements into detailed technical user stories, acceptance criteria, and data flow diagrams that align with careeraxis’s architecture standards.
- Collaborate with solution architects to define data schemas, JSON payload structures, ETL pipelines, and microservices architecture documentation.
Comprehensive Requirements Engineering
- Produce highly detailed technical specifications, including data lineage maps, interface designs, and source‑to‑target mapping documents that capture transformation logic and business rules.
- Ensure that all specifications are traceable, auditable, and compliant with careeraxis’s data governance framework.
- Facilitate rigorous user acceptance testing (UAT) and technical validation to guarantee that releases meet business and quality standards.
Change Management & Collaboration
- Lead technical change initiatives, communicating architecture updates, process improvements, and standards across cross‑functional teams.
- Champion agile practices—sprints, retrospectives, and continuous improvement—to accelerate delivery and maintain high quality.
- Serve as a trusted liaison, articulating complex technical strategies to business leadership, engineering, and end users.
Essential Qualifications
- Bachelor’s degree in Computer Science, Data Science, Industrial Engineering, Operations Research, or a related quantitative discipline.
- Minimum 5 years of experience as a Business Analyst, with at least 2 years in technical roles focused on customer data management or analytics.
- Deep knowledge of modern data stack components: data lakes, data warehouses, cloud analytics ecosystems.
- Proficiency in advanced SQL, Python scripting, and data visualization tools (PowerBI, Tableau, Looker).
- Expert‑level familiarity with cloud data platforms (Snowflake, Azure Synapse, Google BigQuery).
- Strong background in CRM and ERP integration (Salesforce APIs, SAP ECC, Oracle EBS).
- Experience with version control (GitHub, GitLab), CI/CD pipelines, and agile project management tools (Jira, Azure DevOps).
- Understanding of B2B processes such as COGS, rebates, and related financial workflows.
Preferred Qualifications
- Advanced customer data modeling techniques, predictive analytics, and machine learning applications.
- In‑depth knowledge of compliance frameworks (GDPR, CCPA) and enterprise‑grade data quality solutions.
- Track record of driving transformative organizational improvements through strategic and technical innovation.
- Experience with containerization (Docker, Kubernetes), orchestration, and data ingestion tools (Fivetran, Airflow).
- Strong communication skills, capable of translating complex technical concepts to non‑technical audiences.
Skills & Competencies
- Analytical problem‑solving with meticulous attention to detail.
- Exceptional organizational skills and the ability to manage multiple, complex projects simultaneously.
- Strong stakeholder management and facilitation abilities.
- Adaptability and resilience under pressure, navigating shifting priorities and tight deadlines.
- Passion for continuous learning and staying current with emerging technologies.
Career Growth & Learning Opportunities
At careeraxis, your career path is not limited to a single role. We provide:
- Mentorship programs with senior leaders in data engineering, product management, and enterprise architecture.
- Access to internal training courses, certifications, and conferences in data science, cloud technologies, and business analytics.
- Opportunities to lead cross‑functional initiatives, expanding your influence across the organization.
- Clear progression tracks—from Analyst to Senior Analyst, Lead Analyst, and beyond—aligned with performance and skill development.
Work Environment & Culture
careeraxis fosters a culture of innovation, collaboration, and inclusivity. You’ll work in a modern, flexible office environment that supports remote and hybrid arrangements. Our values emphasize:
- Customer‑centricity: Every decision is driven by the goal of delivering superior value to our clients.
- Data‑driven decision making: We empower teams with the tools and insights to make informed choices.
- Continuous improvement: We celebrate experimentation, learning from failures, and iterating quickly.
- Diversity & inclusion: We actively recruit and retain talent from diverse backgrounds, ensuring a rich tapestry of perspectives.
Compensation & Benefits
Competitive base salary ranging from $81,000 to $120,000, commensurate with experience, location, and market conditions.
Benefits package includes:
- Medical, Dental, Vision, and Prescription Drug Coverage
- Health Savings Account (HSA) and Flexible Spending Accounts (Health Care FSA, Dependent Care FSA)
- Paid Time Off (PTO) and company holidays
- 401(k) retirement plan with employer matching contributions
- Life and Accidental Death & Dismemberment (AD&D) Insurance
- Paid parental and personal leaves
- Tuition assistance for approved courses and certifications
- Employee wellness programs and resources
Equal Opportunity Statement
careeraxis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, or veteran status.
How to Apply
Ready to join a forward‑thinking team that values data excellence and customer success? Click the link below to submit your application and take the next step in your career.
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