Data Analytics Consultant

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Job Description

Key Responsibilities:

1. 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.

1. 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.

1. . 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.

1. 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.

1. 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:

1. Technical Skills:

a. Data Analysis: Proficiency in data analysis using Python (Pandas, NumPy) and data extraction and manipulation.

b. Reporting Tools: Experience with reporting and business intelligence tools like Power BI, Qlik, or similar.

c. ETL: Familiarity with ETL processes to automate data integration tasks.

d. Data Visualization: Strong skills in creating visual representations of data for stakeholders.

e. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data handling.

f. AI & Machine Learning: Experience with AI and machine learning concepts, including implementing predictive analytics or leveraging AI-powered tools for enhanced data insights.

1. 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.

1. 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.

1. 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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