Sr. Strategic Solutions Analyst

The Prolift Rigging Company•Memphis, TN

About The Position

ProLift Rigging is seeking a strategic, analytically rigorous problem-solver to join our Strategic Analytics team. This role is responsible for building the financial and operational case behind our value proposition, translating market and growth recommendations into executable plans, and elevating analytical rigor and best practices across our broader Data Analytics function. The individual will partner closely with market intelligence and executive leadership to turn complex, ambiguous questions into clear, evidence-based recommendations. Success in this role requires comfort with ambiguity, a bias toward creative and unconventional problem-solving, and the ability to translate strategic direction into practical execution.

Requirements

5–10+ years in strategy, business analysis, or research, ideally with exposure to ambiguous, cross-functional problem-solving.
Track record translating complex analysis into practical, executable recommendations.
Experience building or contributing to value or ROI models; industrial, logistics, or infrastructure industry experience preferred.
Ability to challenge existing processes and decisions with clear, evidence-based reasoning.
Strong communication skills, with the ability to present findings clearly to executive leadership.
Comfortable informally mentoring and elevating rigor across a broader analytics team without formal management authority.
Proficiency in tools such as Excel, Power BI, Snowflake, or similar data aggregation/visualization platforms.
HS diploma or equivalent

Nice To Haves

Bachelor’s degree in related field preferred

Responsibilities

Build dollar-denominated value models that translate operational advantages — predictability, risk reduction, efficiency, service quality — into defensible financial terms.
Establish a repeatable process and cadence for maintaining and refreshing value and opportunity models over time.
Partner with market intelligence to translate growth and expansion recommendations into feasible, executable plans.
Evaluate go-to-market recommendations against real operational constraints — staffing, equipment, logistics, partnerships — before they become commitments.
Own ambiguous, cross-functional research questions that don't fit an existing analytical framework.
Generate, test, and defend multiple approaches to reach an evidence-based recommendation.
Comfortably challenge existing processes and assumptions when the data supports a different path.
Contribute to executive-level reporting with findings that are clear and defensible line by line.
Identify where margin exists across the business and what would move it.
Provide informal mentorship across the broader Data Analytics team, helping elevate research rigor and analytical discipline.
Help establish and socialize best practices for structured problem-solving, evidence-based recommendations, and decision-support methodology.
Focus effort on a ranked set of strategic initiatives set with leadership, rather than ad hoc requests.