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Job Description
Key Responsibilities:
- Data Analysis and Reporting:
- Gather, clean, and analyze data to support business operations and decision-making.
- Design, develop, and maintain custom reports and dashboards using tools like Power BI, Qlik, or similar.
- Ensure data integrity and accuracy in all reports by validating data sources and performing thorough checks.
- Data Extraction and Transformation:
- Perform data transformation and cleaning using Python for deeper analysis and reporting.
- Automate the extraction, transformation, and loading (ETL) of data using Python scripts or any advanced automation tools to streamline processes.
- . Artificial Intelligence (AI) Application:
- Apply AI techniques to various business use cases to drive greater efficiency and innovation.
- Develop, implement, and maintain AI models and solutions tailored to business needs, such as process optimization, predictive analytics, or automation.
- Collaborate with cross-functional teams to identify opportunities where AI can add value and streamline operations.
4. Business Intelligence & Insights:
- Work with business stakeholders to define key performance indicators (KPIs) and metrics for reporting.
- Develop and provide ad-hoc reports to various departments based on business needs.
- Create and deliver insights through data visualization to help teams understand trends and patterns.
- Collaboration and Communication:
- Partner with internal teams to understand their reporting and data analysis requirements.
- Translate complex data sets into clear, understandable reports for non-technical stakeholders.
- Communicate insights and findings effectively, providing recommendations to enhance business outcomes.
- Process Improvement:
- Identify opportunities to optimize reporting processes through automation and improved data management practices.
- Collaborate with IT and data engineering teams to enhance data architecture for better reporting and analytics.
Qualifications:
- Technical Skills:
- Data Analysis: Proficiency in data analysis using Python (Pandas, NumPy) and data extraction and manipulation.
- Reporting Tools: Experience with reporting and business intelligence tools like Power BI, Qlik, or similar.
- ETL: Familiarity with ETL processes to automate data integration tasks.
- Data Visualization: Strong skills in creating visual representations of data for stakeholders.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data handling.
- AI & Machine Learning: Experience with AI and machine learning concepts, including implementing predictive analytics or leveraging AI-powered tools for enhanced data insights.
- Experience:
- 8+ years of experience in data analysis and reporting roles.
- Proven ability to automate reporting processes using Python and SQL.
- Experience working with large data sets and providing meaningful insights from complex data.
- Demonstrated success in delivering accurate, actionable reports to business stakeholders.
- AI: Demonstrated ability to apply AI techniques for data analysis, such as developing predictive models, automating data classification, or enhancing reporting with AI-driven insights.
- Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent proficiency in using Microsoft Office Applications (i.e. Excel, Words, PowerPoint, Outlook etc.).
- Excellent communication skills, with the ability to explain complex data in simple terms.
- Attention to detail and a commitment to delivering high-quality work.
- Ability to work collaboratively across teams and manage multiple projects.
- Preferred Skills:
- Experience with version control systems (e.g., Git).
- Knowledge of statistical analysis and machine learning models.
- Knowledge on Vehicle System
- Familiarity with data governance and best practices for data security.
Qualifications
Graduate/ Post Graduate in Computer Science/ Information Science / Electronics or equivalent
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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