Job description

Job Summary

We are looking for a meticulous and analytically skilled Data Analyst to join our fully remote team. The chosen candidate will gather, cleanse, and analyse various data sources to provide insightful, data-driven guidance that enhances business decisions, optimizes operations, and fosters growth. Collaboration with multiple departments is essential to deliver precise reporting and tailored data recommendations.

Key Responsibilities

Collect, cleanse, validate, and examine data from diverse sources to ensure accuracy.
Create and maintain dashboards, reports, and visualizations using tools like Power BI, Tableau, Looker, or equivalents.
Develop and refine SQL queries for data extraction, transformation, and generating reports.
Detect trends, patterns, and opportunities via statistical methods.
Track and analyze key performance indicators (KPIs) regularly.
Work closely with business, product, finance, marketing, and operations teams to comprehend reporting needs.
Conduct ad hoc data analyses and communicate results effectively to stakeholders.
Automate reporting workflows to boost efficiency and precision.
Maintain data quality, integrity, and ensure compliance with company policies.
Document data handling procedures, methodologies, and standards for reporting.

Required Skills & Qualifications

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
Between 2 to 5 years of relevant experience in data analysis, business intelligence, or equivalent roles.
Advanced skills in SQL, Microsoft Excel, and data visualization platforms.
Proficiency in Python or R for conducting data analysis and automating tasks.
Solid understanding of statistical techniques, data modeling, and cleansing processes.
Strong analytical thinking, critical evaluation, and problem-solving capabilities.
Excellent communication and presentation skills, able to convey complex data insights clearly.
Comfortable working independently within a remote work setup.

Preferred Qualifications

Experience with ETL systems, data warehousing solutions, and various business intelligence tools.
Knowledge of cloud services such as AWS, Microsoft Azure, or Google Cloud Platform.
Basic familiarity with machine learning concepts and predictive analytics.
Background in industries like SaaS, fintech, healthcare, e-commerce, or retail.
Experience collaborating with remote or international teams.