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.

Requirements

• 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.