How Remoteville checks and expires listings

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