Data Analytics Consultant

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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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Work arrangement
No