Data Analyst

Job Summary:

The Data Analyst will play a key role in gathering, processing, and analysing data related to commodity trading. The role involves using data-driven insights to support finance teams, optimize operations, and support decision-making. The Data Analyst will work closely with trading teams, finance, operations and other departments to provide accurate, actionable information and forecasts.

Location: Kolkata / Gurgaon / Mumbai

Key Responsibilities:

• 1. Data Collection & Management:
• o Collect and clean data from multiple sources, including internal trading systems, financial reports, and external databases as needed.
• o Maintain and update data sets related to agricultural commodities (e.g., price trends, inventory, credit exposure, risk reports, trade volumes).
• o Develop and manage databases, ensuring data accuracy, consistency, and integrity.
• 2. Data Analysis & Reporting:
• o Perform statistical analysis to identify trends, patterns, and insights relevant to financial and risk databases.
• o Develop and deliver business intelligence reports on financial performance, risk management, and trading performance.
• o Create dashboards and visualizations to help internal teams quickly understand data insights and make informed decisions.
• 3. Data Visualization & Communication:
• o Develop user-friendly reports and dashboards tailored to different stakeholders, including traders, finance team, and senior management.
• o Communicate complex data findings in a clear and actionable way to both technical and non-technical teams.
• o Present findings in meetings and provide recommendations for decision-making.
• 4. Automation & Process Improvement:
• o Identify opportunities for automating data collection, reporting processes, and analyses to enhance efficiency.
• o Implement best practices for data handling, storage, and analysis, ensuring the smooth integration of new data sources and technologies.
• 5. Collaboration & Continuous Learning:
• o Collaborate with cross-functional teams (e.g., finance, supply chain, trading) to understand data needs and provide tailored solutions.
• o Stay up to date with developments in data analytics technologies, and industry trends to continuously enhance analytical capabilities.

Qualifications

Education: Bachelors degree in data science, Statistics, Mathematics, Economics, Computer Science, or a related field. Masters degree a plus.

Experience: At least 2-4 years of experience as a Data Analyst, preferably in agriculture, commodity trading, or a related industry.

Industry Knowledge: Familiarity with agricultural markets and commodity trading is a plus, with an understanding of factors influencing price volatility (e.g., weather, trade policies, geopolitical events).

Technical Skills:

• o Proficiency in data analysis tools such as SQL, Excel, R, or Python.
• o Experience with data visualization tools (e.g., Tableau, Power BI).
• o Knowledge of statistical techniques, predictive modelling, and machine learning is a plus.
• o Familiarity with database management systems (e.g., SQL, NoSQL).

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, with the ability to explain complex data insights clearly.
• Ability to work under pressure and manage multiple tasks in a fast-paced environment.
• Strong organizational skills and the ability to prioritize tasks effectively.

Key Competencies:

• Data-driven mindset with a passion for leveraging data to drive business outcomes.
• Critical thinking skills and ability to work independently or as part of a team.
• Ability to translate complex data insights into actionable business strategies.