Data Analytics Consultant

It's fun to work in a company where people truly BELIEVE in what they are doing! _We're committed to bringing passion and customer focus to the business._ 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. 2.    **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. 3\. .    **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. 5.    **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. 6.    **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. 2.    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. 3.    **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. 4.    **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! Not the right fit?  Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!