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Data Analyst

Job in Oakland, Alameda County, California, 94616, USA
Listing for: Aptara
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Mining, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60 - 63 USD Hourly USD 60.00 63.00 HOUR
Job Description & How to Apply Below

Aptara

  • Oakland, CA 94612, United States
  • Full-time
  • Hybrid
  • USD $60 - $63 per hour

Posted 38 days ago

Apply for this job

Aptara is searching for a Data Analyst to join their dynamic team. This role is vital for supporting multiple teams through data analysis and predictive analytics, contributing to strategic decisions. The team aims to leverage data insights to enhance brand and marketing outcomes.

Responsibilities
  • Support teams with benchmarking, creating, capturing, monitoring, reporting, and optimizing OKRs and KPIs.
  • Analyze and interpret data from brand, marketing, and communication initiatives.
  • Develop dashboards and reports for informed decision‑making.
  • Create statistical models for forecasting and quantitative impact analysis.
  • Present findings to departmental team members and leadership.
Benefits
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Vision insurance
Qualifications
  • Residence in the Bay Area
  • 3-7 years of relevant experience
  • Data modeling expertise
  • Experience with big data sets
  • Dashboard and visualization skills (Power BI or Tableau)
  • API and data integration experience
  • Experience with data/metrics repositories
  • KPI management experience
Preferred Skills
  • AI expertise
  • Proficiency in Python, SQL, R, Tableau, Power BI
  • Advanced data analysis and machine learning
  • Predictive analytics for Lean reporting
  • Value and journey mapping experience
  • Experience with cross‑functional teams and stakeholders

The role requires relocation to or current residence in the Bay Area. The position is 40 hours per week, Monday to Friday, with an onsite requirement twice a week. Work location is a hybrid model based in Oakland, CA.

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