Job Description:
- Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
- 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.
- Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
- Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
- Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
- 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.
- Establish, uphold, and oversee data security and privacy measures on the data platform.
- Work closely with other teams to ensure the successful execution of projects and initiatives.
- 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.
- Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
- Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
- Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
- Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
- Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
- 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.
- Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
- Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
- Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
- Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
- Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.
Applicants with relevant experience may be considered for senior roles
Pls send in your updated resume stating past experiences, reasons for leaving, current and expected salaries to [email protected]
