Senior Data Analyst

Service Experts LLC; Richardson (TX); On-site; USD 95,000 - 135,000; Full time

Job summary

Service Experts LLC in Richardson, TX seeks a Senior Data Analyst to drive advanced analytics, KPI reporting, and data-driven insights. This onsite role partners with leadership to surface opportunities and deliver actionable recommendations.

You will collaborate with stakeholders to define KPIs, build dashboards, and apply statistical analysis and ML methods to improve business outcomes. Requires 4+ years of analytics experience and a Master’s degree in a quantitative field.

Qualifications

• Advanced SQL for querying, transforming, and manipulating data.
• Proficiency in Python for data analysis.
• Strong Excel and PowerBI skills for reporting and visualization.
• Experience with Databricks or similar cloud platforms.
• Deep expertise in statistical analysis and turning data into actionable recommendations.

Responsibilities

• Use advanced analytics to assess performance, surface risks and opportunities, and recommend actions.
• Collaborate with leaders to define questions and prioritize analytical efforts.
• Assess and improve data assets, metrics, and analytical capabilities.
• Define KPI frameworks, reporting requirements, and dashboard design.
• Review outputs for accuracy, detect discrepancies, and propose corrective actions.
• Create clear presentations and narratives translating results into business insights for frontline teams and executives.
• Promote data-driven decision-making and best practices for model consumption and insights.
• Translate business needs into reporting solutions with our Data Operations team.

Skills

Advanced SQL

Python

Excel

PowerBI

Databricks

Statistical analysis

Communication

Stakeholder management

Data validation

Machine learning

Education

Master's degree in Data Science/Analytics/Statistics

Tools

Databricks

Job description

Senior Data Analyst role at Service Experts LLC focused on advanced analytics, KPI reporting, and data-driven performance insights.

Responsibilities

• Use advanced analytical methodologies to assess business performance, surface risks and opportunities, identify root causes, and recommend actions tied to operational and strategic objectives.
• Collaborate with business leaders to define key questions, evaluate strategic initiatives, and prioritize analytical efforts.
• Assess and recommend improvements to data assets, metrics, and analytical capabilities to strengthen business insights and decision-making.
• Define KPI frameworks, reporting requirements, and dashboard design to support consistent, data-driven decisions.
• Apply strong attention to detail to review outputs, detect discrepancies, validate data integrity, assess calculation logic, and propose corrective actions for more reliable analysis.
• Create clear presentations, reports, and narrative documents that translate complex analytical results and model outputs into actionable business stories for both frontline teams and executive leadership.
• Support adoption of data-driven decision-making by promoting best practices in model consumption, insight utilization, and analytical rigor.
• Work with the Data Operations team to translate business needs into reporting solutions, including guidance on metric definitions, data requirements, dashboard functionality, and user adoption.

Requirements

• Advanced SQL for querying, transforming, and manipulating data.
• Python proficiency for data analysis.
• Excel and PowerBI proficiency for reporting and visualization.
• Experience with Databricks or a similar distributed computing or cloud platform.
• Deep expertise in statistical analysis, including trend and variance analysis, segmentation, and turning data into actionable recommendations.
• Strong verbal and written communication skills, with the ability to explain complex data and model concepts clearly to executive leadership.
• Ability to validate data and analyses thoroughly by identifying discrepancies and gaps and ensuring accurate, reliable business insights.
• Proven stakeholder management skills, including navigating competing priorities and aligning analytical work to business goals.
• Master's Degree in Data Science, Analytics, Statistics, or a related quantitative field, with at least 2 years of hands-on analytics experience supported by the Master's.
• 4+ years of professional experience in advanced data analysis, machine learning, or a related analytics role.

Location

• Richardson, TX (onsite)

Technologies

• SQL
• Python
• Excel
• PowerBI
• Databricks