Jr. Data Analyst

Job Title: Junior Data Analyst

Job Location:

Onsite, Remote, Hybrid - Remote

Position Summary:

As a Junior Data Analyst, you will play a crucial role in supporting the analysis, interpretation, and visualization of data to extract actionable insights. You will work closely with senior analysts and stakeholders to gather requirements, perform data cleansing and transformation, and generate reports and dashboards that inform business decisions. This role offers an exciting opportunity to develop your skills in data analysis, gain exposure to diverse datasets and tools, and contribute to meaningful projects that drive business growth.

Responsibilities:

• Data Requirements and Collaboration:
  • Collaborate with stakeholders to gather and understand data requirements, objectives, and success criteria.
• Data Preparation:
  • Perform data cleansing, validation, and transformation to ensure accuracy and consistency of datasets.
• Data Analysis:
  • Conduct exploratory data analysis to identify trends, patterns, and outliers using statistical and visualization techniques.
• Reporting and Visualization:
  • Assist in the development of reports, dashboards, and data visualizations to communicate findings and insights effectively.
• Ad-hoc Analysis:
  • Support ad-hoc data analysis requests, providing timely and accurate responses to meet business needs.
• Documentation:
  • Document data analysis processes, methodologies, and findings to support knowledge sharing and future reference.
• Industry Awareness:
  • Stay current with industry trends, tools, and best practices in data analysis and visualization.

Mandatory Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• Proficiency in data analysis tools and languages such as Excel, SQL, Python, R, or similar.

Preferred Requirements:

• Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.

Qualities:

• Strong analytical skills and attention to detail, with the ability to interpret and manipulate complex datasets.
• Excellent communication and collaboration abilities, with the ability to work effectively in a team environment.
• Ability to prioritize tasks, manage workload, and meet deadlines in a fast-paced environment.
• Eagerness to learn and develop new skills in data analysis and visualization.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• Exposure to diverse datasets and tools in a collaborative work environment.
• Flexible work hours and remote work options.
• Dynamic and inclusive company culture with regular team-building activities.
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