C2FO Hiring | Data Specialist

Job Description

C2FO is hiring Data Specialists for its Data & Decision Science team. This is an excellent opportunity for freshers and early-career professionals who are passionate about Data Analytics, Data Quality, SQL, and Business Intelligence to work with one of the world's largest on-demand working capital platforms.

Company: C2FO
Position: Data Specialist
Location: Remote (India)
Job Type: Full-Time
Experience: Freshers / 1–2 Years

Roles & Responsibilities

• Monitor, maintain, analyze, and resolve data quality requests
• Gather, consolidate, aggregate, and validate large datasets
• Work with data engineering and cross-functional teams to support business needs
• Analyze large volumes of data to generate business insights
• Profile and optimize company data for improved accuracy and efficiency
• Assist in developing scalable data processes and workflows
• Support data validation, governance, and standardization initiatives
• Contribute to projects that improve overall data quality and operational efficiency

Qualifications & Eligibility

• Bachelor’s Degree in Business, Computer Science, IT, Data Analytics, or a related field
• Freshers and candidates with up to 2 years of experience can apply
• Strong analytical mindset and willingness to learn
• Ability to work independently and in a team environment

Skills Required

• Data Analysis
• Microsoft Excel
• SQL Fundamentals
• Data Quality Management
• Problem Solving & Research Skills
• Data Validation & Governance
• Attention to Detail
• Communication & Collaboration

Preferred Skills

• Salesforce
• Tableau
• Power BI
• ChatGPT, Gemini, Claude, or other AI Tools
• Business Intelligence Concepts

Why Join C2FO?

• Work with a global fintech leader operating across multiple countries
• Be part of the Data & Decision Science team working on real business challenges
• Gain exposure to Data Engineering, Analytics, Business Intelligence, and AI-driven solutions
• Flexible remote work environment
• Opportunity to work with large-scale datasets and modern data technologies
• Strong learning, growth, and career development opportunities

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