Data Analyst

We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You’ll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand. This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact. Responsibilities :

Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability. Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality. Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets. Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making. Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations. Monitor data quality, validate results, and support initiatives for data integrity and normalization. Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team. Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities. Support testing, troubleshooting, and improvements of reporting systems and pipelines. Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness. Work with senior team members and management to define metrics, track performance, and prioritize business and information needs. Identify and recommend process improvements and opportunities for better data-driven decision-making. Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline). 0–2 years of experience in data analysis or a related field (internships or academic projects count). Strong proficiency in SQL for querying and analyzing data. Familiarity with at least one BI / visualization tool (e.g., Tableau, Looker, Metabase). Good understanding of data cleaning techniques and basic statistical concepts. Strong analytical skills with high attention to detail and accuracy. Ability to communicate findings clearly through reports, dashboards, and presentations. Eagerness to learn and willingness to dive deep into data validation.

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