Pricing- Manager, Data & Analytics, Business & Operations

Datumtg; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Datumtg is seeking a Pricing-Manager, Data & Analytics to lead analytics for pricing, margin optimization, and governance. This hands-on leader will build Power BI dashboards, Python pipelines, and semantic models to deliver actionable insights for Pricing, Category and Sales teams.

You will partner across functions to establish standards, drive adoption, and ensure data quality for enterprise pricing tools and initiatives. This is an on-site, 6-month engagement in Atlanta.

Qualifications

• Advanced experience in Power BI data modeling, DAX and semantic layer design.
• Strong Python for analytics and automation (pandas, numpy).
• Proven ability to lead cross-functional work through influence.
• Experience in Pricing, Revenue Management, or Commercial Analytics.
• Experience building dashboards and governance for pricing.

Responsibilities

• Lead analytics roadmap for Pricing, translating priorities into scalable deliverables.
• Design and govern Power BI dashboards for pricing performance and margin trends.
• Develop Python-based analytics workflows for pricing strategy and governance.
• Collaborate with Pricing, Category, Sales and IT to prioritize analytics products.
• Ensure data quality and lineage for pricing attributes and KPI definitions.

Skills

Power BI proficiency

Python analytics

Cross-functional leadership

Effective communication

Pricing/Revenue analytics

Tools

Power BI

Python (pandas, numpy)

Job description

Pricing- Manager, Data & Analytics, Business & Operations

Location: Atlanta, GA

Duration: 6 Months

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
• Support evaluation and enablement of pricing platforms and analytics integration, ensuring pricing data can be consumed effectively via BI tools (including Power BI) and analytics layers.
• Develop repeatable reporting packages for leadership and business reviews; ensure metrics align to Pricing profitability goals and strategic initiatives

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