or apply directly on YipitData (Alternative)'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days YipitData (Alternative)'s roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 11% of YipitData (Alternative)'s roles list one
- Ghost-job risk at YipitData (Alternative)
- high 52 stale, 5 reposted of 53 open
- Hiring momentum
- 72 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from YipitData (Alternative)'s own greenhouse board since 2026-08-03. Full hiring picture for YipitData (Alternative).
About this role
As a Data Specialist at YipitData, you will develop custom product attribution tailored to the unique needs of corporate retail and brand customers. Your role involves mapping products to customer category structures using manual tagging and machine learning tools, while ensuring high accuracy and alignment with business goals. You will collaborate with cross-functional teams, monitor processes, and leverage technical skills to enhance data operations.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of YipitData (Alternative) as an employer.
What you need
- 1-4 years of experience in a technical role
- Applied Python, Pyspark, and/or SQL skills
- Proficiency in data analysis, tagging systems, and machine learning tools
- Knowledge of consumer product data and experience working with retail or brand data
- Exceptional attention to detail
- Excellent problem-solving and critical-thinking skills
Nice to have
- RegEx experience
- Experience with data management platforms, product attribution systems, or machine learning tools
- Familiarity with data mapping, tagging, and categorization practices
What you get
- Flexible work hours
- Flexible vacation
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
Worth weighing
- No specific salary mentioned
- Requires several hours of overlap with US time zones during onboarding and training
- Role involves both manual and technical tasks, which may vary in complexity
Summarised from YipitData (Alternative)'s posting. Read the full original.
Listed by YipitData (Alternative) on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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