Senior Engineer Data Visualization

Skills
Analytical SolutionsAsset And Liability ManagementDAXKey Performance IndicatorsPresentationsSnowflakeSnowflake Cloud
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Experience designing and developing data modeling, visualization, reporting, and analytical solutions
  • Strong knowledge of relational, dimensional, and semantic data modeling
  • Proficiency in methodologies such as star schema, snowflake schema, and semantic models
  • Expertise in data visualization, dashboard design, and reporting
  • Exceptional problem-solving, analytical, and team collaboration skills
  • Ability to manage multiple priorities and meet deadlines
  • Strong team player, change agent, and advocate
  • Working knowledge of agile frameworks
  • High energy self-starter
  • Bachelor’s in a STEM degree
  • 5+ years with reporting and visualization tools such as Power BI and Tableau working with cross-functional teams and enterprise-wide data management programs
  • 3+ years working with Alteryx or similar data wrangling tool for data modeling, data mining, forecasting, simulation
  • 3+ years developing and maintaining reporting ecosystem ensuring service level agreements and data quality
  • 3+ years building analytical models
  • 3+ years working with business owners to optimize key performance indicators within data and analytical solutions
  • 3+ years with DAX, Tabular Editor, ALM Toolkit, and Power BI Deployment Pipelines
  • Knowledge and experience with relational/non-relational databases such as Teradata, Snowflake, Databricks, Azure Data solutions, or Hadoop
  • Experience in a high performing agile delivery model aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions

Day to day

  • Develop and deliver high-quality data visualization, reporting, and analytical solutions adhering to best practice, privacy, and governance principles
  • Work on existing solutions to enhance their performance, quality, and functionality while resolving incidents escalated by support teams or business users
  • Collaborate with IT and business partners to define, manage, and deliver innovative data visualization solutions to drive growth and adoption of capabilities at Hershey
  • Evangelize future data visualization solutions identified by Enterprise Data leadership, including innovations such as cloud-based intelligent systems to collect, distribute, model, analyze, and visualize diverse data assets of all sizes