Location: Jakarta, IndonesiaIn fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Thales has been established in Indonesia for close to 40 years. Today Thales Indonesia employs 25 people and has successfully provided numerous solutions to Indonesia in both civil and defense sectors. The Group's main business in Indonesia has historically been the defense domain, where Thales is a long-term provider of defense systems for the Indonesian Army and Navy. In these areas Thales has demonstrated a strong commitment to working collaboratively with the Indonesian government and partners with local stakeholders. In recent years there has been an increased interest in the Thales civil solutions especially in the field of transportation and air traffic control. With the growing attention to infrastructure development by the Indonesian government, Thales will have opportunities in the transportation and security domain.As part of the Information Systems/Information Technology (IS/IT) team, the Data Analyst will partner with cross-functional stakeholders to identify requirements; design and develop metrics, create insightful automated KPI dashboards and data visualization solutions to stakeholders and management, facilitating data-driven decision-making processes.**Responsibilities**:- Develop and maintain regular reports and dashboards to present findings and key performance indicators (KPIs) to stakeholders and management, facilitating data-driven decision-making processes.- Gather data from various sources (both internal and external) and ensure data completeness and accuracy. Clean, pre-process and transform raw data into a usable format for analysis.- Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights.- Utilize data visualization tools to create interactive and visually appealing dashboards to facilitate understanding and accessibility of data for various stakeholders.- Perform quality checks to ensure data accuracy and integrity by conducting thorough data cleaning, validation, and data quality checks.- Monitor and track the performance of IT and processes and initiatives using relevant metrics and key performance indicators (KPIs).- Analyze data outputs and provide actionable insights and recommendations based on the results. Prepare regular reports and ad-hoc analysis to communicate findings to stakeholders, ensuring that the information is presented in a clear and concise manner.- Ensure compatibility and interoperability of existing Thales in-house IT systems- Document data analysis processes, methodologies, and assumptions for reference and future use.- Stay updated with industry trends, emerging technologies, and best practices in data analysis to enhance the efficiency and effectiveness of data-driven decision-making.**Requirement**:- Bachelor Degree in Computer Science, Statistics, Mathematics, or related fields.- At least 2 to 3 years of experience as a Data Engineer, Business Data Analyst or similar roles.- Proven experience in data analysis, data visualization, and reporting using tools such as PowerBI or similar, is mandatory.- Experience SQL, Excel, Python, R, etc is good to have.- Strong analytical skills with the ability to interpret complex data and draw meaningful insights.- Understanding of big data architecture, data taxonomy, and both structured and unstructured data.- Solid understanding of statistical concepts and data mining techniques- Good visualization and reporting skills.- Strong written and verbal communication skills are essential. Proficiency in English is mandatory.- Excellent communication skills to present findings to both technical and non-technical stakeholders and/or to small/medium groups.- Ability/comfortable to work with stakeholders across multiple geographical sites.- Detail-oriented and methodical in data analysis and problem solving.- A proactive and self-motivated individual who can work independently and collaboratively in a team environment.- Self-starter that can thrive in a fast-moving environment.
