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Sr. Data Analyst

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Service Experts
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Welcome!

Location:

Richardson, TX (Hybrid)

Join the team of experts and realize your true potential!

Why You Should Join the Service Experts Team? Our team consists of the very best; we believe in doing what is right for our customers and our employees. We provide our employees with training support and an opportunity for unlimited professional growth. Join us and become an EXPERT!

Position Summary

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics experience and a Master’s degree in Analytics, Data Science, Statistics, or a related quantitative field to join our team. This role is critical for driving improved business performance through advanced statistical and machine learning analytics, predictive modeling, and strategic data visualization. The Senior Analyst will collaborate closely with business leaders and product teams to transform complex data into actionable insights, and will serve as a technical mentor to elevate team performance.

Key Responsibilities I. Advanced Data Analytics (~65% of Time)
  • Consultation & Strategy:
    Consult with business leaders to drive improved business performance through advanced statistical analysis, machine learning techniques, and operational research.
  • Model Development & Enhancement:
    Provide prescriptive and predictive analytics expertise to support stakeholders in identifying opportunity areas, building robust models, and deploying data-driven solutions.
  • AI/ML Tool Utilization:
    Leverage AI-assisted development tools such as Microsoft Copilot, Databricks AI, and similar platforms to accelerate model development, code generation, and insight delivery.
  • Statistical Testing:
    Design and execute rigorous statistical tests (A/B testing, hypothesis testing, regression analysis, significance testing) to validate findings and support data-driven decisions.
  • Data Sourcing & Integration:
    Research, identify, and integrate new data sources and analytics pipelines to support strategic analyses and enhance existing models.
II. Communication & Influence (~25% of Time)
  • Communication & Storytelling:
    Develop compelling presentations, reports, and narrative documents that translate complex analytical results and model outputs into clear, actionable business stories for diverse audiences — from frontline teams to executive leadership.
  • Collaboration:

    Partner within cross-functional product teams to deliver and communicate outputs of advanced analyses in support of business priorities and product optimization.
  • Organizational Influence:
    Drive adoption of data-driven decision-making across the organization, advocating for best practices in model consumption, insights application, and analytical rigor.
III. Team Mentoring & Development (~10% of Time)
  • Peer Mentoring:
    Provide guidance and technical mentorship to junior and mid-level analysts, conducting code reviews, sharing best practices, and supporting skill development in analytics and AI/ML.
  • Knowledge Sharing:
    Lead internal knowledge-sharing sessions, document reusable frameworks, and contribute to building a stronger analytical culture within the team.
Required Qualifications
  • Experience:

    4+ years of professional experience in advanced data analysis, machine learning, or a related analytics role.
  • Education:

    Master’s degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative field required.
  • Technical

    Skills:

    Expert proficiency in Python for data analysis and modeling; strong experience with Databricks or similar distributed computing/cloud platform; high proficiency in reporting tools (e.g., PowerBI); analytical skills in statistical analysis, predictive modeling, machine learning algorithms, and data manipulation (SQL).
  • Business Acumen:
    Strong understanding of business performance drivers and the ability to translate technical findings and complex models into clear business implications.
  • Communication:
    Excellent verbal and written communication skills with the ability to present complex data and model concepts clearly to executive leadership.
  • Mentoring:
    Demonstrated ability to mentor peers, conduct code reviews, and contribute to team skill development.
  • AI/ML Tools & Prompting…
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