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This role has closed. Tireseasycom has taken the posting down.

hirly last saw it live on 6 September 2026. See similar open roles below, or browse the live board.

Tireseasycom

Operations Program and Analytics Manager

Remote, Argentina

hirly's read of this role

Seniority
Lead / management
Country
AR
Work mode
Remote-friendly
First seen by hirly
6 Sept 2026

Derived automatically from the posting.

the posting

A bit about us

We're on a mission to change the tire industry: how it's delivered and how it's experienced. A pioneer in the automotive e-commerce industry, we take pride in our extensive selection of top-name brands and budget-friendly options, ensuring our customers find the perfect tire to suit their needs. As a part of our growing and dynamic team, you'll contribute to our commitment to exceptional service, innovation, and customer satisfaction. Embrace the opportunity to be a driving force behind one of the fastest growing e-commerce companies in the US and apply now!

About the role

The Program & Analytics Manager is a strategic, individual-contributor role focused on driving high-impact initiatives that support business growth, reduce costs, increase efficiency, and reduce operational errors, grounded in rigorous data analysis.

This role focuses on identifying opportunities, building data-backed business cases, and owning cross-functional projects end-to-end; from problem definition through implementation and measurement.

You'll work closely with Operations leadership, Product, Technology, Finance, and external partners to turn data into strategy and strategy into measurable outcomes.

Key responsibilities

Identify and evaluate operational opportunities tied to cost reduction, efficiency gains, scalability, and error reduction

Query and analyze complex datasets (SQL, spreadsheets, BI tools) to quantify impact, prioritize initiatives, and support decision-making

Build clear business cases, success metrics, and ROI expectations for proposed initiatives

Actively investigate and resolve immediate, high-priority issues (such as inventory discrepancies, order cancellations, and fulfillment bottlenecks) to ensure seamless service delivery and minimal customer impact.

Own strategic, cross-functional initiatives from concept through execution

Define scope, timelines, risks, and dependencies

Drive alignment across stakeholders and ensure accountability, without formal management authority

Track progress and communicate outcomes and tradeoffs to leadership

Redesign processes to reduce manual work, defects, and rework

Leverage AI tools to automate repetitive manual tasks and free up capacity for higher-value work

Partner with Product and Technology on system improvements and automation

Update SOPs and operating models as new solutions are implemented

Build and maintain dashboards and recurring reports to track KPIs and program performance

Define KPIs and success metrics for initiatives

Monitor performance post-launch, dig into root causes of variance, and iterate as needed

Document learnings and share insights across teams

Eligibility requirements

Available to work full shifts until 4:30pm PST

Fluent in speaking, reading, and writing English

Reliable high-speed internet connection for home office

Skills & experience

Strong analytical and problem-solving skills, with a track record of using data to influence decisions and strategy

Proficiency in SQL for querying and analyzing data

Experience building dashboards/reports in BI tools (e.g., Tableau, Looker, Power BI)

Advanced Excel/Google Sheets skills (pivot tables, modeling, complex formulas)

Experience using AI tools to automate manual tasks and streamline workflows

Proven experience driving cross-functional projects or programs

Comfort working in ambiguity and defining problems from scratch

Excellent written and verbal communication skills

Self-motivated with a strong ownership mindset

Intellectual curiosity and a bias toward inventing new approaches rather than defaulting to how things have always been done

Bachelor's degree in a quantitative field (e.g., statistics, economics, mathematics, engineering, data science) required

Original posting on Tireseasycom's site ↗