Job Description:

- Data Analysis and Insight Discovery: Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.

- Data Visualization and Communication: Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.

- Data Modeling and Transformation: Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.

- Data Quality Assurance: Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.

- Identifying Data Requirements: Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.

- Continuous Enhancement: Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.

- Data Security & Compliance: Establish, uphold, and oversee data security and privacy measures on the data platform.

- Cross-Functional Collaboration: Work closely with other teams to ensure the successful execution of projects and initiatives.

- Operational Support: Maintain and provide day-to-day operational assistance on the data platform, including:

-> Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.

-> Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

- Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.

- Have a minimum of 5 years of practical experience in data platforms, data analytics, or related projects.

- Data Analysis Proficiency: Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.

- Data Visualization Skills: Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.

- Programming Aptitude: Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.

- Data Engineering Experience: Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.

- Technology Familiarity: Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.

- Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.

- Problem-Solving Acumen: Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.

- Attention to Detail: Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.

- Effective Communication: Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.

- Collaborative Team Player: Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.

- Certifications: Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.