JobsData AnalystChicagoData Analyst
Goliath Luxury Homes
Posted on 17 May
Data Analyst
Goliath Luxury Homes · Chicago, Illinois, United States
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In short
The role involves collecting, cleaning, and interpreting data to support business decision-making and strategic planning. You will also develop dashboards, maintain reports, and collaborate with departments to provide analytical insights.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Candidates must hold a bachelor's degree in Data Science, Statistics, or a related field. Proven experience in a data analysis role and proficiency in tools such as Excel, SQL, and Python or R are required.
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Questions about this role
- Is this Goliath Luxury Homes 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 professional to analyse and interpret data that drives business solutions at Goliath Luxury Homes. The successful candidate will play a pivotal role in supporting decision-making processes and strategic planning through data insights. Collect, clean, and interpret data from various sources. Develop and maintain dashboards and reports for performance tracking.
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Overview
We are seeking a skilled professional to analyse and interpret data that drives business solutions at Goliath Luxury Homes. The successful candidate will play a pivotal role in supporting decision-making processes and strategic planning through data insights.
Key Responsibilities
- Collect, clean, and interpret data from various sources.
- Develop and maintain dashboards and reports for performance tracking.
- Collaborate with various departments to identify data needs and provide analytical support.
- Utilise statistical methods to analyse data and generate useful business insights.
- Present findings and recommendations to stakeholders in a clear and concise manner.
Requirements
- Bachelor's degree in Data Science, Statistics, or a related field.
- Proven experience in a data analysis role.
- Proficiency in data analysis tools such as Excel, SQL, and Python or R.
- Strong analytical and problem-solving skills.
- Excellent communication skills, both written and verbal.
Salary: 80000 - 110000 USD Per annum
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