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Generalist data role, metro location, and broad skill needs create moderate applicant competition.
Core analytics skills are transferable but POS retail data domain knowledge adds moderate industry specificity.
Preferred 1–2 years, degree requirement, and mandatory Excel/Access make screening moderately strict.
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Manage and ensure quality, timeliness, and integrity of POS retail data for assigned categories/retailers within the Global Data Classification Team.
Liaise with and support outsourcing teams for coding tasks, report incidents immediately, and escalate potential issues proactively.
Collaborate closely with teams and stakeholders to achieve operational excellence, deliver collective and individual data management targets.
Bachelor’s Degree in Marketing, Business, Data Analytics, or related field (preferred).
1-2 years preferred analytical experience, including familiarity with SQL, R, or Python (preferred).
Proficient in MS Office Suite including Excel and MS Access (required).
Work Experience Required: 1-2 years preferred analytical experience; Notice Period: Not explicitly mentioned in the JD.
Detail-oriented data analyst with experience handling POS retail data and managing multiple categories/retailer assignments.
Effective communicator able to liaise with outsourcing teams and internal stakeholders, ensuring incident reporting and issue resolution.
Proactive problem-solver who questions existing data processes to improve efficiency and data quality.