JobsData AnalystCharlotteData Analyst
BOMgoods
Posted on 14 May · Jobs at BOMgoods
Data Analyst
BOMgoods · Charlotte, North Carolina, United States
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In short
Collect, process, and analyze large datasets to identify trends and patterns while preparing reports for stakeholders. Collaborate with cross-functional teams to understand data needs and ensure data quality and integrity.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Requires proven experience as a data analyst with strong knowledge of statistical analysis and data visualization. Proficiency in SQL and experience with analytical tools like Python, R, or Excel are essential.
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Questions about this role
- Is this BOMgoods role remote?
- Tagged on site.
- What does it pay?
- The posting lists $80,000–$110,000 a year.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 2-5 years.
The posting, in full
We are seeking a skilled analyst to join our dynamic team at BOMgoods. This position involves interpreting data to provide actionable insights that will drive decision-making and improve our business strategies. Collect, process, and analyse large datasets to identify trends and patterns. Prepare and present reports that communicate findings to stakeholders.
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Overview
We are seeking a skilled analyst to join our dynamic team at BOMgoods. This position involves interpreting data to provide actionable insights that will drive decision-making and improve our business strategies.
Key Responsibilities
- Collect, process, and analyse large datasets to identify trends and patterns.
- Prepare and present reports that communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand their data needs and deliver solutions.
- Utilise statistical tools and software to enhance data accuracy and efficiency.
- Monitor data quality and integrity, ensuring compliance with industry standards.
Requirements
- Proven experience as a data analyst or in a similar role.
- Strong knowledge of statistical analysis and data visualisation techniques.
- Proficiency in SQL and experience with analytical tools such as Python, R, or Excel.
- Excellent communication skills, both verbal and written.
- Attention to detail and strong problem-solving abilities.
Nice to have
- Experience with data warehousing and ETL processes.
- Familiarity with machine learning concepts.
- Knowledge of data governance and security practices.
Salary: 80000 - 110000 USD Per annum
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