ACL Digital-posted 9 months ago
Mid Level
Hybrid • San Diego, CA
1,001-5,000 employees
Professional, Scientific, and Technical Services

The position involves designing, developing, modifying, debugging, and evaluating programs for various functional areas, including finance, human resources, manufacturing, and marketing. The role requires analyzing existing programs or formulating logic for new systems, preparing flowcharting, performing coding, and testing/debugging programs. The candidate will also develop conversion and system implementation plans, prepare and obtain approval of system and programming documentation, and recommend changes in development, maintenance, and system standards. The responsibilities include working under some supervision, making moderate-impact decisions, and requiring verbal and written communication skills to convey complex information. The role also involves problem-solving, creativity in drafting documents, and active participation in future data initiatives.

  • Design, develop, operationalize, and maintain end-to-end analytical solutions
  • Architect and implement visual analytics using tools like Tableau, Power BI, ThoughtSpot, Plotly, etc.
  • Data modeling for large-scale, high-performance data visualizations
  • Architect and implement data pipelines for effective data storage and processing using Python
  • Designing and defining dashboards with appropriate visualization that provide insights
  • Perform ad-hoc and exploratory data analysis on large volumes of data and present insights to leadership team
  • Collaborate with global team and manage priorities, timelines, and deliverables
  • Expertise in Tableau
  • Experience handling large scale data visualization projects
  • Experience with data structures and data model design for data visualizations
  • Strong knowledge with SQL
  • Analytical Skills - The ability to collect information and identify fundamental patterns/trends in data
  • Experience with GCP (Google Cloud Platform) or AWS (Amazon Web Service)
  • Hands-on experience doing exploratory data analysis with Python
  • Experience developing custom data visualizations
  • Experience building data pipelines using Python & Informatica
  • Experience with statistics & predictive analytics
  • Hybrid working environment
  • Local candidates preferred
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