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We are looking for a detail-oriented Data Analyst to help transform business data into clear and useful insights. The successful candidate will work with different datasets, identify trends, prepare reports, and support data-driven decision-making.

Key Responsibilities

Collect, organize, and review data from multiple sources.
Clean and validate datasets to maintain data accuracy.
Analyze data to identify trends, patterns, and opportunities.
Prepare reports, dashboards, and visual summaries.
Work with internal teams to understand data requirements.
Track key performance indicators and business metrics.
Present findings in a clear and understandable format.
Identify inconsistencies and investigate data quality issues.
Maintain organized records of analysis and reporting.
Support ongoing projects with data-related tasks.

Requirements

Previous experience in data analysis or a related field.
Strong knowledge of Microsoft Excel or Google Sheets.
Familiarity with SQL and data visualization tools.
Good analytical and problem-solving skills.
Strong attention to detail and accuracy.
Ability to work with large datasets.
Good communication and organizational skills.
Ability to manage multiple tasks and meet deadlines.

Preferred Qualifications

Experience with Power BI, Tableau, Looker Studio, or similar tools.
Knowledge of Python or R is an advantage.
Experience preparing business reports and dashboards.
Portfolio or examples of previous analytical work are welcome.

Intro Video Requirement

Please create a short introduction video as part of your application. Introduce yourself and briefly explain your data analysis experience, the types of datasets or projects you have worked with, the tools you use, and how you approach solving data-related problems.

What We Offer

Competitive compensation.
Structured onboarding and training.
Professional development opportunities.
Collaborative working environment.
Opportunities for career growth.

Job Type: Full-time

Application Question(s):

Please record a 1 Min introduction video introducing yourself and sharing the experience and skills most relevant to this position.
Upload your video to Loom, YouTube, Canva, Google Drive, Vimeo, or Dropbox, ensure viewing access is enabled, copy the shareable link, and submit it with your application.

Work Location: Remote

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