Reporting and AI Analytics Sr. Analyst

SOLVENTUM•Remote - Minnesota, MN

2d•$125,600 - $172,700•Remote

About The Position

The Reporting and AI Analytics Sr. Analyst is responsible for identifying, designing, and delivering automation solutions that leverage artificial intelligence (AI), data, and process optimization to transform manual business processes into scalable, efficient, and intelligent workflows. This role serves as a bridge between business stakeholders, data teams, and technology partners to enable automation, enhance reporting capabilities, and drive data-driven decision-making across the organization. This position requires a strong combination of analytical expertise, process engineering, and emerging AI capabilities, along with the ability to influence stakeholders and lead automation initiatives from concept through deployment.

Requirements

Bachelor’s Degree or higher from an accredited university in Finance, Business Analytics, Information Systems, Engineering, or related field and (8) eight years of experience in process improvement, automation, analytics, in a private, public, government or military environment
Proven experience with automation tools (e.g., Power Automate, UiPath, Automation Anywhere) and/or AI technologies.
Experience with AI/ML concepts and tools (e.g., Python, Azure AI, OpenAI, data science platforms).
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Nice To Haves

Strong analytical and problem-solving skills with ability to translate data into actionable insights.
Experience with data visualization and reporting tools (e.g., Power BI, Tableau).
Demonstrated ability to lead cross-functional initiatives and influence stakeholders.
Strong communication skills with ability to articulate complex technical concepts to non-technical audiences.
Knowledge of data engineering or data architecture concepts.
Experience in Agile or product-oriented delivery environments.
Background in finance, operations, or enterprise transformation initiatives.

Responsibilities

Identify, assess, and prioritize opportunities to automate manual or repetitive business processes.
Design and implement end-to-end automation solutions leveraging AI, machine learning, RPA, and workflow tools.
Develop scalable frameworks for automation that can be reused across functions.
Partner with IT and engineering teams to execute automation solutions in production environments.
Leverage AI/ML tools (e.g., natural language processing, predictive analytics) to enhance reporting and decision-making capabilities.
Enable intelligent reporting solutions that automate insights generation and reduce manual data analysis.
Work with data teams to ensure data quality, governance, and accessibility for automation initiatives.
Evaluate and recommend emerging AI technologies and automation platforms.
Design automated dashboards and reporting solutions that transform raw data into actionable insights.
Eliminate manual reporting processes by building self-service and real-time reporting capabilities.
Act as a trusted advisor to business leaders on automation strategy and opportunities.
Translate business needs into technical automation requirements and solution designs.
Lead cross-functional workshops to identify automation use cases and drive alignment.
Provide training and guidance to teams on automation tools and best practices.
Ensure compliance with corporate policies, procedures, and security standards while performing assigned duties.