Job Description
Process Identification & Automation:
Quickly identify repetitive, manual tasks and processes for short-term automation, primarily using tools like Robotic Process Automation (RPA) or scripting.
Solution Development & Deployment:
Design, develop, and implement streamlined, high-impact automation solutions to deliver immediate efficiency gains
Stakeholder Alignment:
Collaborate closely with business users to gather requirements and ensure automated solutions address immediate operational pain points.
Data Engineering & Transformation:
Develop and implement techniques and analytics applications to transform raw business data into meaningful, structured information using data-oriented programming languages (e.g., Python, R).
Visualization & Reporting:
Utilize visualization software (e.g., Tableau, Power BI) to visualize, interpret, and report key data findings.
Dynamic Dashboard Creation:
Create dynamic and interactive data reports and dashboards for stakeholders, enabling them to monitor operational performance and the immediate impact of implemented automation.
Requirements
Academic Qualification:
Master's degree in a relevant field (e.g., Data Science, Computer Science, Engineering, Technology) from an established university.
Automation Proficiency:
Hands-on experience with Robotic Process Automation (RPA) tools (e.g., UiPath, Power Automate) or other workflow automation platforms.
Programming Skills:
Expertise in data-oriented programming languages, specifically Python (for scripting and data manipulation) and SQL (for data extraction and querying).
Data Visualization:
Demonstrated ability to design and build dynamic dashboards and reports using tools like Tableau or Power BI.
Process Analysis:
Proven ability to quickly analyze business processes, identify automation opportunities, and gather precise user requirements.
Data Transformation:
Experience with data cleaning, transformation, and structuring techniques to convert raw data into a format suitable for reporting and analysis.
Communication:
Strong skills in clearly translating technical requirements, data findings, and automation impacts to non-technical business stakeholders.
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