Posted:2 months ago| Platform:
Work from Office
Full Time
Key Responsibilities Lead the collection, cleaning, and analysis of large datasets from multiple sources. Develop and maintain advanced dashboards and reports to visualize complex data insights. Perform in-depth data validation and ensure the highest level of data integrity. Collaborate with senior management and cross-functional teams to understand business needs and provide strategic data-driven insights. Identify and interpret trends and patterns in data to inform business strategies and decision-making. Drive the development and implementation of data collection systems and other strategies that optimize statistical efficiency and data quality. Conduct advanced ad-hoc analysis and present findings to key stakeholders. Mentor and guide junior data analysts, fostering a culture of continuous learning and improvement when needed. Must be able to work and deliver commitments independently. about you Knowledge and Skills Required Expertise in data analysis tools such as SQL, Excel, and advanced data visualization tools ( preferable Power BI , Qlik would be added advantage). Proficiency in statistical software (e.g., R, Python, Data IKU) and experience with machine learning techniques. Proficiency in working with ELK stack for data management Experience in developing and managing cubes for multidimensional data analysis Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders. Must have experience working with Agile development methodologies. Lead projects and working independently . Attention to detail and a commitment to data accuracy and quality. Requirements Bachelor's or master s degree in data science, Statistics, Mathematics, Computer Science, or a related field. 5+ years of experience in data analysis or a related role. Knowledge of cloud platforms, such as Azure, Knowledge of big data tools and technologies (e.g., Hadoop, Spark) is advantageous. Knowledge of On Prem Power BI is advantageous. Demonstrated ability to lead data projects and work collaboratively with cross-functional teams.
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