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Sr. Systems Engineer (Development)



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8-10 Years
4 days ago
15 Viewed
0 Applied

Job Description

About this role:
  • Utilize Python, Jupyter Notebook, and Power BI to analyze data, identify trends, and develop predictive models.
  • Create visually appealing and informative reports and dashboards that communicate insights effectively to business users.
  • Collaborate with business stakeholders to understand their data needs and translate them into actionable insights.
  • Stay up-to-date with the latest data science trends and technologies.
  • Design and develop user-friendly and visually appealing dashboards in Power BI:
    • Utilize best practices for dashboard design, including clear hierarchy, consistent formatting, and intuitive navigation.
    • Select appropriate and impactful visualizations based on data types and user needs.
    • Incorporate interactivity features like slicers, filters, and drill-throughs for user exploration.
    • Ensure dashboards are optimized for various devices (desktop, mobile).
  • Partner with business stakeholders to understand their dashboard requirements:
    • Conduct requirements gathering sessions and actively listen to user feedback.
    • Translate complex data into clear and actionable insights aligned with business objectives.
    • Prototype and iterate on dashboards to deliver user-centric solutions.

What you need to bring:
  • Minimum bachelor's degree in computer science, Software Engineering, or a related field (or equivalent experience).
  • Certification in data science, Statistics, Computer Science, or related field (or equivalent experience) is preferred.
  • Minimum 8 years of experience as a Data Scientist or similar role.
  • Proven experience in data modelling, ETL processes, and data warehouse development.
  • Proven experience in building user-friendly and impactful dashboards in Power BI.
  • Strong understanding of data visualization principles and best practices.
  • Ability to effectively translate data into visually compelling and easily digestible formats.
  • Excellent communication and presentation skills, with the ability to translate technical concepts into plain language.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Proficiency in SQL, Python, and other programming languages for data cleaning/wrangling, scripting, and automation.
  • Strong expertise in Power BI for data visualization, Data cleaning (Power Query) report development, and dashboard design.
  • Solid understanding of data modelling concepts (dimensional modelling, star schema, snowflake schema) and database technologies (SQL Server, Oracle, MySQL, etc.).
Last Updated: 12-06-2024 06:49:26 PM
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