WHAT YOU'LL DO:

— Data Collection & Preparation: Retrieve data from spreadsheets, transfer data into analytical tools while ensuring correct formatting and structure, assist in organizing raw data into structured formats for analysis.

— Data Cleaning & Validation: Perform basic cleaning tasks, such as removing duplicates and correcting errors, standardize data formats, and ensure data integrity and accuracy before analysis.

— Data Visualization: Create simple charts and graphs using standard templates in tools like ClicData, present data insights in a clear and structured manner, follow predefined visualization guidelines and best practices.

— Statistical Analysis: Apply basic statistical techniques to analyze data trends, compute descriptive statistics (e.g., mean, median, standard deviation), and generate visual summaries to support business decisions.

— Collaboration & Reporting: Work closely with business teams to understand data requirements, support in generating reports and dashboards for stakeholders, and document processes and findings to maintain transparency and knowledge sharing.

WHAT YOU BRING:

— Proficiency in Excel/Google Sheets, including formulas, pivot tables, and data manipulation.

— Familiarity with PowerPoint for creating reports and presentations.

— Exposure to Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker) is a plus.

— Basic understanding of data validation techniques and ability to detect errors in datasets.

— Fundamental knowledge of statistical concepts, with the ability to identify, summarize, and interpret data trends.

— Awareness of data visualization best practices and ability to present insights effectively.

— Proficiency in English, both written and verbal, for effective documentation and collaboration.

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WHAT WE OFFER:

— USD-based salary that values your expertise.

— Work from anywhere – fully remote and flexible hours to suit your lifestyle.

— 31 days of paid time off – 21 days of annual leave + 10 days sick leave, because balance matters.

— Growth-focused environment – access to learning resources and clear pathways for advancement.

— Fun team events: Join our online cooking classes, yoga sessions, and more – all from home!

— A Culture of Trust – Say goodbye to bureaucracy and micromanagement; we focus on results, not processes.

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STEPS OF THE SELECTION PROCESS:

— Screening – Initial conversation with a recruiter.

— Test Assignment – Complete a task to demonstrate your skills.

— Team Interview – Engage in an in-depth discussion with the Senior Business Analyst and Data Operations Lead, including a presentation of your test assignment and a review of your approach.

— Offer – If successful, you’ll receive an offer to join our team.