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aKUBE

Data Analyst Job at aKUBE in Kissimmee

aKUBE, Kissimmee, FL, United States, 34747

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Location: Kissimmee, FL

Rate Range: Up to $64/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

  • 3–5+ years of Data Analysis experience
  • Strong proficiency in SQL and Excel (pivot tables, v-lookups, data modeling)
  • Hands-on experience with at least one data visualization tool (Tableau, Power BI, or similar)
  • Data aggregation and visualization project experience
  • Prior experience as a Data Analyst for a retailer
  • Understanding of product data

Responsibilities:

  • Conduct detailed data analysis and ensure reporting accuracy across multiple jurisdictions.
  • Develop and maintain dashboards, reports, and visualizations using BI tools (Tableau, Power BI, etc.).
  • Acquire, filter, and clean large datasets from multiple sources to ensure data quality.
  • Identify trends, patterns, and inconsistencies in datasets to drive insights.
  • Partner with business stakeholders to gather requirements and deliver relevant reporting solutions.
  • Support business intelligence capability development to improve reporting and decision-making.
  • Communicate with international suppliers and internal teams to facilitate data collection and ensure compliance.
  • Maintain thorough documentation of data projects, processes, and methodologies.

Qualifications:

  • Bachelor’s degree in Data Analytics, Accounting, Finance, or related field.
  • 3–5+ years of proven experience in data analysis, ideally in retail.
  • Proficiency with SQL and Excel, including advanced functions and data modeling.
  • Experience building visualizations and dashboards with BI tools such as Tableau or Power BI.
  • Strong analytical mindset with attention to detail and accuracy.
  • Ability to manage and interpret large datasets effectively.
  • Strong communication, organizational, and problem-solving skills.
  • Self-motivated, organized, and solution-oriented.

Preferred:

  • Familiarity with Python or other data processing tools.
  • Experience with packaging materials and retail product categorization.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology, Engineering, and Other

Industries: Information Technology & Services, Broadcast Media Production and Distribution, and Technology, Information and Media

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We’re not including unrelated job listings or notifications in this refined description. The information above reflects the current Data Analyst role details.

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