Data Specialist at WMPennsylvania, United States — full-time

Description

Join WM as a Data Specialist and turn complex data into clear, actionable insight that keeps our operations running strong. In this role, you’ll be the go‑to expert for validating daily route, timekeeping, and disposal data—digging into thousands of data points to spot errors, uncover root causes, and support smart business decisions.

We’re looking for a detail-obsessed problem solver with intermediate–advanced Excel skills, experience in data analysis, and the curiosity of a detective—someone who can tell whether an issue is behavioral or technical and help drive continuous improvement. Familiarity with tools like KRONOS, OPUS, and NDO is a plus, along with comfort working independently in a remote environment. This position will require quarterly market meetings and site visits.

This position supports our Greater Mid-Atlantic market, so candidates must live within a two-hour drive of the epicenter Newtown, PA. At WM, you’ll enjoy a strong total rewards package, growth opportunities, and the chance to make an impact every single day.

I. Job Summary

Under minimal supervision, the Data Specialist is responsible for gathering and inputting all daily data. This role is also responsible for ensuring all operational data is entered and/or keyed correctly and ready for review by the Ops Analyst by the end of each working day.

II. Essential Duties and Responsibilities

Communicate daily with driver(s) on designated communication platforms regarding missing time clock entries.

Validate all driver and helper information (including check-in/check-out), OPUS confirmations, and KRONOS information

Validation of Next Day Optimization (NDO) data

Manage cases and confirm/close-out customer tickets daily

Assist with data collection and reporting required for incentive pay programs

Landfill reconciliation, Area disposal reporting, update accounts in MAS with the appropriate information as needed

Shared responsibility with Business Manager to maintain data and site records

III. Qualifications

A. Required Qualifications

High School Diploma (accredited)

2 years in a data analyst role

B. Preferred Qualifications

IV. Physical Requirements

Listed below are key points regarding physical demands, physical and occupational risks, and the work environment of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.

Repetitive Motions

Eye/Hand/Foot Coordination

Sitting

Talking

Hearing