Data Analyst – fully remote freelance role (multi-year engagement)

We are hiring multiple Data Analysts to join international data, analytics, and decision intelligence teams . These fully remote, long-term freelance roles are ideal for analysts who can work with large datasets, generate actionable insights, build dashboards, and support data-driven decision-making across business and product teams. You will work with global enterprises, SaaS companies, and data-driven organizations , collaborating closely with engineering, product, and leadership stakeholders.

Open Roles (Multiple Positions) We are recruiting across core and specialized data analytics roles : Core Data Analytics Data Analyst Senior Data Analyst Business Data Analyst Product Data Analyst Specialized Roles BI Analyst (Power BI / Tableau / Looker) SQL / Reporting Analyst Growth / Marketing Data Analyst Operations / Financial Data Analyst If you have strong experience turning data into insights and supporting business decisions, we encourage you to apply. Engagement Details Type: Independent Freelance Consultant Location: 100% Remote Duration: Initial 12 month contract (extendable to multi-year) Start Date: Immediate or within the next few weeks Clients: Global enterprises, SaaS companies, and analytics-led teams Key Responsibilities Analyze structured and semi-structured data to generate meaningful business insights. Write complex SQL queries to extract, transform, and analyze data from multiple sources.

Build and maintain dashboards, reports, and self-serve analytics using BI tools. Partner with product, business, marketing, finance, and operations teams to define metrics and KPIs. Translate ambiguous business questions into clear analytical approaches and outputs.

Identify trends, anomalies, and opportunities using descriptive and diagnostic analysis. Ensure data accuracy, consistency, and reliability in reports and dashboards. Document assumptions, methodologies, and definitions to support data governance.

Support ad-hoc analysis, executive reporting, and stakeholder presentations. Collaborate with data engineering teams on data quality, modeling, and pipeline improvements. Minimum Qualifications Minimum 2 years of hands-on experience as a Data Analyst or similar role.

Strong proficiency in SQL (mandatory). Experience working with BI / visualization tools (Power BI, Tableau, Looker, or similar). Solid understanding of data modeling, metrics, and KPI design .

Ability to communicate insights clearly to non-technical stakeholders. Experience working independently in a remote, distributed environment . Strong analytical thinking and problem-solving skills.

Preferred Skills Experience with Python or R for data analysis. Exposure to cloud data warehouses (BigQuery, Redshift, Snowflake, Synapse). Familiarity with product analytics, funnel analysis, or cohort analysis.

Experience working with large datasets and performance-optimized queries. Understanding of A/B testing concepts and experimentation frameworks. Exposure to data quality checks, validation, and governance practices.

Experience working alongside data engineers and ML teams. Prior experience in SaaS, enterprise, or high-growth environments. Why Join This Opportunity Work on real-world, data-driven decision-making problems .

Fully remote roles with flexible working hours . Long-term freelance opportunities with consistent project work. Exposure to global stakeholders and enterprise-scale data.

Opportunity to work with modern analytics stacks and cloud data platforms. Multiple openings with fast-track onboarding . How to Apply Apply online on LinkedIn or Send your CV to [email protected]