Lead Data Analyst / Project Manager

Stryker Corporation; Jeddah; On-site; Confidential; Full time

Job summary

A financial services firm is seeking a skilled Lead Data Analyst who will also function as a Project Manager. This role involves overseeing data initiatives, managing cross-functional teams, and driving projects while ensuring data quality and alignment with business needs. The ideal candidate should have at least 8 years of experience and a strong background in SQL, Python, and data modeling, along with proven project management skills. This is an excellent opportunity to contribute to significant data-driven projects in a dynamic environment.

Qualifications

• 8+ years of experience as a Data Analyst or similar technical role.
• 3+ years of Project Management experience, preferably Agile.
• Experience leading teams both onsite and offshore.

Responsibilities

• Lead data analysis, modeling, and validation efforts across projects.
• Act as the primary Project Manager for assigned data initiatives.
• Collaborate with business units to gather requirements and define solutions.

Skills

Data Analysis

Project Management

SQL

Python

Power BI

Tableau

ETL Concepts

Data Modeling

Tools

SQL

Python

Power BI

Tableau

Job description

Job Description

Our financial services client in Phoenix, AZ is seeking a highly skilled Lead Data Analyst who can also function as a Project Manager. This individual will oversee end-to-end data initiatives, manage cross-functional teams, work closely with offshore resources, and drive delivery across multiple business and technology stakeholders.

This is a hands-on role requiring strong technical expertise, leadership presence, and the ability to manage project timelines, deliverables, and team performance.

Key Responsibilities

Data Analysis & Technical Execution

• Lead complex data analysis, data modeling, and data validation efforts across multiple projects.
• Develop dashboards, reports, and insights using tools such as SQL, Python, Power BI, Tableau, or equivalent.
• Work closely with data engineering and business stakeholders to understand requirements and translate them into technical solutions.
• Ensure data quality, accuracy, and consistency across enterprise datasets.
• Review and optimize existing data pipelines and workflows.

Project Management

• Act as the primary PM for assigned data initiatives, owning project plans, timelines, risks, and escalation paths.
• Organize and lead sprint planning, standups, backlog grooming, and retrospectives.
• Coordinate deliverables across business analysts, developers, QA teams, and offshore counterparts. Team Leadership
  • Lead and mentor a blended team of onsite and offshore analysts/engineers.
  • Delegate tasks effectively and track delivery across time zones.
  • Establish best practices in documentation, coding standards, and project processes.
  • Partner with leadership to build and scale the analytics function.
  Cross-Functional Collaboration
  • Work with business units (finance, risk, operations, compliance, etc.) to gather requirements and define solutions.
  • Serve as the main point of contact for technical discussions, clarification, and issue resolution.
  • Collaborate with enterprise data teams to align with organizational standards.

  Required Qualifications

  • 8+ years of experience as a Data Analyst, Data Lead, or similar technical role.
  • 3+ years of Project Management experience (Agile preferred).
  • Strong hands-on experience with:
    • SQL (advanced)
    • Python (preferred)
    • Power BI, Tableau, Looker
    • Data modeling & ETL concepts
  • Proven experience leading teams both onsite and offshore.
  • Experience working in financial services or highly regulated environments.
  • Excellent communication, stakeholder management, and leadership skills.

  Preferred Qualifications

  • PMP, Scrum Master, or Agile certification.
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Strong understanding of financial domain datasets (risk, lending, payments, AML, etc.).
  • Prior experience working with cross-functional architecture or governance teams.