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Senior Manager, Analytics - Job Opportunity at Chain Mountain

Sandy Springs, United States
Full-time
Senior
Posted: March 19, 2025
Hybrid
USD 175,000 - 195,000 per year

Benefits

Comprehensive Health Insurance with comprehensive medical coverage for employees and dependents
Dental Insurance with preventive and major procedure coverage
Vision Insurance with eye exam and hardware allowances
Competitive Paid Time Off policy reflecting senior management level

Key Responsibilities

Drive enterprise-wide analytics strategy and alignment with product roadmap, ensuring data-driven decision making across all business units
Architect and oversee scalable data platforms while maintaining highest standards of data quality and integration
Lead implementation of machine learning solutions for logistics optimization with direct business impact
Direct and mentor cross-functional team of data engineers, scientists, and analysts while fostering innovation culture
Spearhead stakeholder communications and translate complex technical concepts into actionable business strategies
Guide product development through data-driven insights and market analysis
Establish and maintain analytics best practices and stay current with emerging technologies

Requirements

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related discipline

Experience

7+ years in analytics, data engineering, or related technical field

Required Skills

Python programming SQL proficiency Data science libraries (pandas, NumPy, scikit-learn) Machine learning and statistical modeling Data engineering and ETL processes Cloud platforms (AWS, GCP, Azure) Data visualization tools (Tableau, Power BI) Project management Leadership and team management Stakeholder communication
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Sauge AI Market Intelligence

Industry Trends

The logistics analytics sector is experiencing rapid transformation with increased focus on AI-powered optimization solutions and real-time decision making There's growing demand for analytics leaders who can bridge technical expertise with business strategy, particularly in supply chain optimization The convergence of IoT, machine learning, and cloud computing is creating new opportunities for logistics optimization through advanced analytics

Salary Evaluation

The offered salary range of USD 175,000-195,000 is competitive for the Atlanta metro area and aligns with senior analytics management roles in the logistics sector. Similar roles in major tech hubs like San Francisco or New York typically command 15-20% higher compensation.

Role Significance

Based on the scope of responsibilities, likely leading a team of 8-12 technical professionals across data engineering, data science, and analytics functions
Strategic leadership position with direct influence on product strategy and business outcomes, reporting likely to VP of Technology or Chief Analytics Officer

Key Projects

Enterprise data platform modernization and cloud migration initiatives Implementation of predictive analytics for logistics optimization Development of AI-powered route optimization and demand forecasting systems Cross-functional data governance and analytics standardization programs

Success Factors

Strong balance of technical depth and business acumen Ability to translate complex technical concepts into business value Experience in building and scaling high-performing technical teams Track record of implementing enterprise-scale data solutions Deep understanding of logistics industry challenges and opportunities

Market Demand

Very high demand with projected growth due to increasing logistics complexity and digital transformation initiatives across the supply chain industry

Important Skills

Critical Skills

Data engineering and platform architecture expertise given the focus on building scalable solutions Team leadership and stakeholder management capabilities essential for driving cross-functional initiatives Strategic thinking and business acumen for translating analytics into business value

Beneficial Skills

Experience with emerging AI technologies and their practical applications Knowledge of logistics industry specific challenges and metrics Familiarity with data governance and compliance requirements

Unique Aspects

Combination of logistics domain expertise with advanced analytics capabilities
Focus on AI strategy development without requiring hands-on AI experience
Strong emphasis on product development input from analytics perspective

Career Growth

Typical progression to VP level within 2-3 years with demonstrated success in scaling analytics operations and measurable business impact

Potential Next Roles

VP of Analytics Chief Analytics Officer Chief Data Officer VP of Data Science Director of AI Strategy

Company Overview

Chain Mountain

Chain Mountain appears to be an innovative technology company focused on transforming logistics through data-driven solutions and AI applications

Positioning suggests a growth-stage company with strong market potential in the logistics technology sector
Atlanta location indicates strategic positioning in a major logistics hub with access to significant talent pool
Environment suggests a dynamic, technology-focused culture with emphasis on innovation and professional development
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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

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