Lead Analyst
Quality Assurance Center | Data, Insights & Analytics
Purpose & Impact
The Lead Analyst is a senior analytics leader responsible
for driving insight, consistency, and performance across Steak ’n Shake through
advanced data analysis and people leadership. This role blends hands-on
analytical expertise with team leadership—guiding analysts, shaping analytical
standards, and ensuring insights translate into measurable business impact.
The Lead Analyst partners closely with cross-functional
leaders to define metrics, build scalable reporting and forecasting
capabilities, and elevate how data is used to improve quality, operations, and
decision-making across the organization.
What You’ll Do
- Lead,
coach, and develop a team of analysts, fostering strong analytical skills,
accountability, and continuous improvement
- Set
analytical standards and best practices for reporting, forecasting, and
performance measurement
- Design,
review, and oversee advanced financial and operational reporting,
dashboards, and KPIs
- Analyze
complex datasets to identify trends, root causes, risks, and opportunities
for improvement
- Develop
and review forecasting models, projections, and scenario analyses used in
strategic and operational planning
- Translate
analytical insights into clear, actionable recommendations for senior
leaders and cross-functional partners
- Serve
as a trusted analytical partner to business leaders, helping shape
questions, assumptions, and decision frameworks
- Ensure
data integrity through strong validation, reconciliation, and quality
assurance processes
- Drive
improvements in data structure, documentation, and analytical workflows to
improve scalability and efficiency
- Support
internal audits and data governance efforts as needed
- Lead
or contribute to high-impact projects such as sales forecasting, wage and
labor market analysis, labor optimization, and store-level performance
initiatives
- Coordinate
analytical efforts across cross-functional teams to ensure alignment and
consistency
What You Bring
- Bachelor’s
degree in Mathematics, Statistics, Engineering, Physics, Quantitative
Economics, or a related analytical discipline
- 5+
years of experience in data analysis, business analytics, or a related
quantitative role
- Prior
experience leading or managing analysts, including coaching,
prioritization, and performance development
- Strong
SQL expertise preferred; experience with advanced analytical, statistical,
or modeling techniques
- Advanced
proficiency in Microsoft Excel for modeling, forecasting, and decision
support
- Strong
communication skills with the ability to clearly present insights and
recommendations to senior audiences
- Highly
detail-oriented with strong analytical, organizational, and
problem-solving capabilities
- Comfortable
operating in a fast-paced, evolving environment with competing priorities
- Demonstrates
high personal integrity, humility, and accountability
- Passionate
about developing people and using data and technology to drive better
outcomes