Data Analyst

Turnkey Inside; Kota Malang ꦠꦸꦛꦩꦭꦁ; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

Turnkey Inside is seeking a highly analytical Data Analyst to join their team in Batu, Malang. The ideal candidate will have expertise in Python and statistical analysis, focusing on trading-related data to provide actionable insights. This role requires strong problem-solving skills and familiarity with machine learning techniques, with a preference for candidates having a Bachelor's degree in a relevant field.

Qualifications

• Proficiency in Python for data analysis and visualization.
• 1-3 years of experience in data analysis, preferably in financial markets.
• Strong problem-solving skills with a systematic approach.

Responsibilities

• Analyze trading-related data to identify trends and patterns.
• Develop statistical models for risk assessment and performance evaluation.
• Create reports and visualizations to effectively communicate findings.

Skills

Data Analysis

Python

Statistical Modeling

Machine Learning

Data Visualization

Education

Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, Finance

Tools

Pandas

NumPy

SciPy

Job description

About The Role

We are seeking a highly analytical and systematic Data Analyst to join our team in Batu, Malang. This role focuses on analyzing trading-related and financial market data to generate actionable insights for strategic decision-making. The ideal candidate will possess strong expertise in data processing and statistical analysis, as well as proficiency in tools such as Python. Experience with time series analysis and machine learning/artificial intelligence (ML/AI) techniques is a significant advantage. The Data Analyst will also play a key role in exploring data to support the development of new strategies and collaborating with cross-functional teams to drive innovation in financial and trading systems.

Key Responsibilities

• Analyze trading-related and financial market data to identify trends, patterns, and anomalies that inform strategic decisions.
• Process and interpret complex datasets to provide clear, actionable insights for stakeholders, supporting informed risk management, effective trading strategies, and optimized portfolio management.
• Clean, transform, and organize large datasets from various sources, including market feeds, on-chain data, or proprietary systems.
• Develop and apply statistical models to assess risks, evaluate performance, and validate hypotheses.
• Leverage machine learning and AI techniques to enhance models, pattern recognition, anomaly detection, or strategy optimization where applicable.
• Build and maintain analytical tools or scripts using Python to streamline data processing and visualization.
• Create clear reports, dashboards, and visualizations to communicate findings effectively to non-technical stakeholders.
• Work closely with quantitative developers, crypto analysts, and other teams to integrate data insights into trading systems and strategies.
  
  

Qualifications

• Proficiency in Python for data analysis, statistical modeling, and visualization. Python is mandatory, with other programming languages as substantial advantages.
• Strong problem-solving skills with a systematic approach to analyzing complex datasets and deriving meaningful insights.
• Expertise in statistical methods, including hypothesis testing, regression analysis, and probability theory.
• Familiarity with machine learning techniques (e.g., supervised and unsupervised learning, time series forecasting) and AI tools is a plus.
• Experience with various data types, including time series analysis, is highly valued.
• Experience with data analytics tools, including Pandas, NumPy, and SciPy, for data processing and visualization.
• 1-3 years of experience in data analysis, preferably in financial markets or trading. Fresh graduates with strong analytical skills and relevant project experience are welcome to apply.
• Preferably a Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Finance, or a related field with a minimum GPA of 3.2. Candidates with demonstrated expertise in data analysis are welcome to apply regardless of formal education.
• Ability to present complex data insights clearly to technical and non-technical stakeholders.
• Willingness to work on-site in Batu, Malang.