Senior Manager – Data & Analytics

Vaspire Technologies Inc.; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Vaspire Technologies Inc. in Atlanta, GA seeks a Senior Manager of Data & Analytics focused on Pricing to drive margin expansion through analytics products, dashboards, and scalable Python pipelines.

This hands-on role leads with influence and partners across Pricing, Category, Sales and IT to deliver actionable insights. You will establish analytics standards, govern KPIs, and build enterprise-grade Power BI dashboards while ensuring data quality and timely decision support for pricing

Qualifications

• Advanced experience in Power BI for data modeling and semantic layers.
• Strong Python proficiency for analytics and automation (pandas, numpy, notebooks).
• Proven ability to lead cross-functional work by influence and establish standards.

Responsibilities

• Serve as the analytics leader for Pricing, translating priorities into a scalable analytics roadmap.
• Establish metric definitions, dashboard governance, and reporting cadence across Pricing.
• Lead cross-functional collaboration with Pricing, Category, Sales, and IT to deliver analytics products.
• Design, build, and maintain Power BI dashboards for pricing performance and margin trends; track progress and exceptions.
• Create governed datasets to ensure consistent insights and improve self-service adoption.
• Partner with stakeholders to define KPIs and evolve dashboards based on feedback.

Skills

Leadership by influence

Cross-functional collaboration

Data storytelling

Pricing analytics

Stakeholder management

Tools

Power BI

Python

Job description

Senior Manager - Data & Analytics, Pricing

Location: Atlanta, GA

Position Purpose Summary

The Senior Data Manager (Pricing) is a hands-on data science leader who partners with the Pricing organization to drive margin expansion, visibility, and decisioning through analytics products. This role functions as the primary data science and BI leader supporting pricing workflows, including dashboards, performance reporting, and scalable analytics tools. The Senior Data Manager leads by influence across stakeholders, establishes analytic standards, and ensures pricing teams have reliable, actionable insights - especially through Power BI solutions and Python-based data pipelines.

Key Tasks/Responsibilities

Analytics Leadership & Functional Management

• Serve as the functional analytics leader for the Pricing department, translating pricing priorities into a scalable analytics roadmap and delivery plan.
• Establish standards for metric definitions (e.g., margin, price realization, overrides), dashboard governance, and reporting cadence across Pricing stakeholders.
• Lead cross-functional collaboration with Pricing, Category, Sales leadership, and IT/data teams to prioritize, deliver, and sustain analytics products
• Design, build, and maintain enterprise-grade Power BI dashboards for pricing performance, margin trends, and operational tracking (e.g., progress monitoring, completion status, exception visibility).
• Create semantic models and governed datasets to ensure consistency of insights and reduce report sprawl; improve usability and self-service for pricing stakeholders.
• Partner with stakeholders to define KPIs, build executive-ready views, and evolve dashboards based on field feedback and adoption.

Data Science & Python Enablement

• Use Python to develop repeatable analytics workflows (data preparation, modeling, anomaly detection, forecasting, and performance monitoring) that support pricing strategy and governance.
• Build automated pipelines and analysis templates to reduce manual work and improve timeliness/accuracy of pricing insights.
• Apply statistical and analytical techniques to uncover margin leakage drivers and identify actionable opportunities for pricing and category teams

Data Quality & Enablement

• Improve data integrity and usability by partnering with master data and business teams on product attributes and category structures needed for pricing segmentation and maintenance
• Support data cleanup initiatives by designing tracking and reporting mechanisms

Knowledge/Skills/Abilities

• Advanced experience in Power BI (data modeling, DAX, semantic layer design, performance tuning)
• Strong proficiency in Python for analytics and automation (e.g., pandas, numpy, notebooks, productionizing workflows)
• Proven ability to lead cross-functional work through influence (functional management), driving standards and adoption
• Strong communication skills with the ability to translate technical findings into business actions
• Experience supporting Pricing, Revenue Management, or Commercial Analytics organizations in a multi-branch/multi-region environment
• Experience building dashboards and tracking mechanisms for operational processes and data completeness initiatives
• Familiarity with pricing governance concepts (overrides, discounting controls, margin leakage visibility)
• Experience integrating analytics with enterprise systems and/or pricing platforms; exposure to BI tool interoperability expectations