Strategic Analytics & Transformation Manager

SHI International Corp.•US - TX - Home Office, TX

4d•$135,000 - $185,000

About The Position

The Strategic Analytics & Transformation Manager delivers data-driven insights, financial analysis, sales performance reporting, and operational support for SHI’s strategic sales organization. The role advises sales leadership by developing forecasting models, measuring campaign effectiveness, identifying growth opportunities, and creating scalable reporting frameworks that support business decisions. Combining financial acumen, operational excellence, and practical AI capabilities, this position improves sales productivity, automates reporting, and generates actionable insights across revenue, gross margin, pipeline, bookings, and strategic growth initiatives. The role includes financial analysis and forecasting; sales operations and performance management; campaign analytics and strategic programs; and data, AI, and automation enablement. Success includes improving forecast accuracy and business visibility, delivering executive-ready dashboards and recommendations, standardizing campaign measurement, and implementing practical automation to support profitable growth.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, Business Administration, Data Analytics, Information Systems, or a related field.
Minimum of 5 years of experience in Sales Operations, Revenue Operations, Financial Analysis, Business Intelligence, or a related discipline.
Advanced Microsoft Excel and financial modeling capabilities.
Experience with Power BI, Tableau, Salesforce, Dynamics, or comparable analytics and CRM platforms.
Strong understanding of forecasting methodologies, KPI management, pipeline analytics, and performance reporting.
Ability to translate complex data into clear, actionable business recommendations.
Strong verbal, written, and presentation communication skills.
Ability to work cross-functionally and influence stakeholders at multiple levels.
Strong financial and business judgment, analytical problem-solving, executive communication, collaboration, process design, adaptability, attention to detail, and bias for action.

Nice To Haves

Experience supporting an enterprise technology sales organization.
Experience developing sales campaign measurement frameworks, scorecards, or attribution models.
Working knowledge of AI-enabled productivity, analytics, and business intelligence tools, including Microsoft Copilot or comparable platforms.
Experience with Power Query, DAX, SQL, Python, or other advanced reporting and analytics technologies.
Experience with data automation, dashboard development, and data-quality controls.
MBA or advanced degree.

Responsibilities

Develop, maintain, and enhance financial and operational models for revenue growth, gross margin performance, forecasting, and strategic planning.
Analyze sales performance trends and prepare executive-ready reporting.
Perform scenario modeling, investment analysis, and business-case development for strategic initiatives.
Partner with Finance and Sales Leadership to improve forecast accuracy and planning processes.
Monitor and report revenue, gross margin, pipeline health, bookings, and quota attainment.
Design and maintain KPI scorecards, dashboards, and scalable reporting frameworks.
Develop tracking methodologies for sales campaigns, partner programs, strategic initiatives, and growth motions.
Identify operational efficiencies through automation, standardization, and process improvement.
Support executive business reviews with performance analysis, concise insights, and recommended actions.
Create mechanisms to improve visibility into sales activity, campaign effectiveness, and organizational performance.
Measure campaign adoption, pipeline influence, conversion, bookings, gross margin contribution, and return on investment.
Build repeatable campaign reporting structures, scorecards, and attribution approaches.
Work with Sales, Marketing, Finance, and strategic partners to evaluate program effectiveness and recommend optimizations.
Analyze business outcomes and translate findings into actions that accelerate growth and improve sales execution.
Apply AI-powered technologies and automation tools to improve reporting, forecasting, analysis, and operational workflows.
Develop scalable AI-assisted workflows that reduce manual effort and accelerate insight generation.
Evaluate practical emerging analytical use cases that improve decision-making and sales productivity.
Promote responsible adoption and effective use of AI-enabled sales and operational tools.
Document model logic, data sources, assumptions, controls, and repeatable processes to support consistency and governance.
Communicate complex data and insights clearly to support executive understanding and decisions; collaborate across functions and stakeholders; manage changing priorities while maintaining accuracy and driving results.