Data Insights Analyst

Job Description

Data Insights Analyst | FAIRIS C.A

The Tone:
This is a part-time, remote role at FAIRIS C.A. The company is focused on transforming raw data into clear, actionable insights for its internal operations. This role is crucial for making data understandable and usable, directly supporting informed decision-making and operational effectiveness across the organization.

The TL;DR
• Role: Early Career
• Type: Part-time
• Location: Remote

• Team: Part of a collaborative team, reporting to senior analysts and cross-functional leads.
• Mission: Transform raw data into clear, actionable insights for internal stakeholders.
• Tech Stack: Excel/Google Sheets, SQL, Python/R, Power BI, Tableau, Looker Studio, spreadsheets, databases, basic BI tools.

What You’ll Actually Do
• Data Management: Collect and clean datasets from various sources, ensuring data quality and readiness for analysis.
• Data Exploration: Perform basic exploratory data analysis to identify initial trends, patterns, and anomalies within datasets.
• Reporting & Dashboards: Assist in building simple reports and dashboards that effectively visualize data findings for internal stakeholders.
• Insight Communication: Support the preparation of visualizations and presentations that communicate data findings in an accessible manner.
• Collaboration & Documentation: Contribute to the documentation of analytical methods and results, while adhering to data quality and security standards.

The Must-Haves
• Background: Early career professionals with foundational experience or coursework in data analytics and data modeling.
• Experience: Practical experience working with spreadsheets, databases, or basic Business Intelligence (BI) tools.
• Skills: Strong analytical abilities to interpret data and draw logical conclusions; basic knowledge of statistics (or eagerness to learn quickly); effective communication skills to explain technical findings to non-technical audiences; high attention to detail and reliable handling of confidential information; effective time management in a remote, part-time setting.
• Bonus: Relevant academic background such as Statistics, Data Science, Mathematics, Economics, Computer Science, or a related field, or equivalent practical experience.