Lead: Enterprise Transformation Analytics & Automation

UPS

Atlanta (GA)

On-site

USD 109,000 - 165,000

Full time

21 hours ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account
Dependent Care Flexible Spending Allow
Life Insurance & AD&D
Disability Income Protection Plan
Employee Assistance Program
401(k) retirement program
Vacation & Holidays
Paid Sick Time
Paid Family Leave
Discounted Employee Stock Purchase

Job summary

UPS is seeking a Manager, Enterprise Transformation Analytics & Automation in Atlanta to lead the creation of automation and analytics solutions across Finance and other corporate functions. The role emphasizes end-to-end process understanding, risk identification, and sustainable solutions using Alteryx, SQL, and cloud data platforms.

You will partner with finance, IT, operations, and business leaders to translate questions into dashboards, data pipelines, and actionable insights, ensuring data

Qualifications

  • Bachelor’s degree in Finance, Accounting, Business, Data Analytics, Information Systems, Supply Chain, Industrial Engineering, or related field.
  • Progressive experience in business analysis, process improvement, finance, operations, analytics, automation, or enterprise transformation.
  • Alteryx: Hands-on experience developing Alteryx workflows, including data preparation, joins, transformations, formulas, macros or reusable components, validation, exception handling, and production support.
  • Business process knowledge: Understand and document processes across multiple functions linking operational activities, data, controls, and outcomes.
  • Analytical capability: Investigate data, identify patterns, reconcile results, and provide practical recommendations.
  • Controls mindset: Design or operate data-quality checks, reconciliations, and audit trails for enterprise solutions.
  • Communication: Work with business and technical stakeholders and explain requirements clearly.
  • Delivery: Manage work from discovery to deployment and support.

Responsibilities

  • Partner with functional leaders to understand current-state processes, rules, pain points, data dependencies, risks, and controls.
  • Design, build, test, and support Alteryx workflows for data preparation, reconciliations, reporting, and calculations.
  • Support cross-functional enterprise transformation initiatives across Finance, Operations, Marketing, HR, IT, and other areas.
  • Translate business questions into analyses, dashboards, metrics, and actionable insights.
  • Develop data pipelines and ensure reliable data flows between source systems, cloud platforms, analytics tools, and reporting products.
  • Build data quality, validation, reconciliation, and monitoring into solutions.
  • Document functional requirements, data logic, workflows, testing scenarios, and implementation plans.
  • Lead or support user acceptance testing, defect resolution, deployment, and training.
  • Develop templates and standards to improve speed, consistency, and governance.
  • Communicate progress, risks, and value realization to business partners and leadership.
  • Identify opportunities to simplify processes and scale solutions across teams.

Skills

Analytical thinking
Communication
Stakeholder management
Problem solving

Education

Bachelor’s degree in Finance, Accounting, Business, Data Analytics, Information Systems, Supply Chain, Industrial Engineering, or related field

Tools

Alteryx
SQL
Google Cloud Platform (BigQuery)
Looker/Power BI

Job description

UPS is seeking a Manager, Enterprise Transformation Analytics & Automation in Atlanta to lead the creation of automation and analytics solutions across Finance and other corporate functions. The role emphasizes end-to-end process understanding, risk identification, and sustainable solutions using Alteryx, SQL, and cloud data platforms.

You will partner with finance, IT, operations, and business leaders to translate questions into dashboards, data pipelines, and actionable insights, ensuring data

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