Data Analyst

Company:  GINO CORPORATION
Location: Los Angeles
Closing Date: 22/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Benefits:

  1. 401(k)
  2. Health insurance
  3. Paid time off
  4. Competitive salary and benefits package
  5. Opportunities for professional growth and development
  6. Collaborative and supportive work environment

Overview:

We are seeking a talented Data Analyst to join our marketing team and help us leverage data to drive informed decision-making.

Responsibilities:

  1. Data Collection and Cleaning: Gather, organize, and clean data from various sources, ensuring data accuracy and integrity.
  2. Data Analysis: Utilize statistical techniques and data analysis tools to identify trends, patterns, and insights within large datasets.
  3. Data Visualization: Create clear and compelling data visualizations (e.g., charts, graphs, dashboards) to effectively communicate findings to stakeholders.
  4. Reporting: Develop and deliver regular reports on data-driven insights, highlighting key metrics and performance indicators.
  5. Problem-Solving: Collaborate with cross-functional teams to identify and solve data-related challenges.
  6. Data Modeling: Build and maintain data models to support analytical needs and decision-making.
  7. Stay Up-to-Date: Keep abreast of the latest data analysis techniques and technologies.

Qualifications:

  1. Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related field.
  2. Strong proficiency in data analysis tools (e.g., SQL, Python, R, Excel).
  3. Experience with data visualization tools (e.g., Tableau, Power BI).
  4. Excellent problem-solving and analytical skills.
  5. Strong communication and interpersonal skills.
  6. Ability to work independently and as part of a team.

Preferred Qualifications:

  1. Experience working with large datasets.
  2. Knowledge of machine learning and artificial intelligence techniques.
  3. Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).

If you are a passionate data analyst with a strong desire to make a positive impact, we encourage you to apply. Please submit your resume.

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