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Magic Leap // augmented reality tech
 
Engineering, Full Time    Plantation, FL    Posted: Monday, May 16, 2022
 
   
 
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JOB DETAILS
 

Magic Leaps mission is to harmonize people & technology to create a better, more unified world. Magic Leap is a team of creatives & technologists building a personal, spatial computing platform that seamlessly blends the digital & physical worlds. Magic Leaps Business Technology organization (BT) is seeking a data analyst/Tableau developer who can make data tell a story. You will prep large sets of data, identify trends, generate statistical reports, write SQL queries, & determine viable solutions to enhance business processes.

Do you get excited about delighting your customers? Do you love building & shipping beautiful experiences? Do you enjoy leading your team through service, helping them grow & succeed?

Great. Were going to change the world. Join us at Magic Leap, & lets do it together!

JOB DESCRIPTION

A critical role of Magic Leap's Business Technology (BT) solutions teams,  Data Engineer will support data warehouse, data analysis initiatives & ensure optimal data & information delivery architecture to support ongoing projects. The incumbent must be self-directed & comfortable supporting the data engineering & Business intelligence needs of multiple teams, systems & products.

RESPONSIBILITIES

  • Data visualization, presentation, & modeling 
  • Analyze & synthesize data to drive decision making
  • Work closely with databases, reports, & dashboards to pull, refine, & interpret large sets of information
  • Make sense of raw data & make it digestible with data visualization tools like Tableau
  • Use reporting software to create models that depict trends in the customer base, assess company risk profiles, monitor ongoing campaigns, compile predictive reporting, & identify new untapped markets
  • Work closely with senior data engineers to generate reports to identify KPIs & metrics
  • Identify & recommend innovative ways to save money by streamlining business processes
  • Create & maintain optimal data pipeline architecture
  • Integrate large, complex data sets that meet business requirements
  • Identify, design, & implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
  • Evaluate/Review/Implement/Build the infrastructure required for optimal extraction, transformation, & loading of data from various data sources
  • Work with stakeholders at multiple levels to assist with data-related technical issues & support their data infrastructure needs
  • Facilitate meetings to gather business & data requirements & translate them into report & analysis for sales & finance teams
  • Support data analysis tools used by multiple business intelligence resources throughout the organization
  • Work with data & analytics experts to strive for greater functionality in the data ecosystem
 

REPORTING RELATIONSHIPS

 

As a Data Analyst  you will report to our Sr. Manager, Business Technology, Core Data.

 

QUALIFICATIONS

  • 3-5 years of experience in a data engineer/Tableau developer role
  • Understanding of SQL & relational databases
  • Proficient in the use of data visualization tools such as Tableau Desktop/Server
  • Proficient in the use of Data Prep tools like Data Robot/Paxata 
  • Experience using statistical packages for analyzing datasets
  • Awareness of micro & macro trends in business intelligence, big data, & modern data visualization techniques
  • Experience building & optimizing big data pipelines, architectures, & data sets
  • Experience performing root cause analysis on internal & external data & processes & identify opportunities for improvement
  • Strong analytic skills related to working with both structured & unstructured datasets
  • Experience supporting & working with cross-functional teams in a dynamic environment
  • Experience with relational SQL & NoSQL databases: BigQuery,Redshift, Snowflake, PostgreSQL, SQL Server is preferred
  • Experience with data pipeline & CI/CD management tools
  • Working knowledge of SAP, experience with extracting & modeling SAP data is a plus
  • Experience with scripting languages: Python & Java is preferred
  • Capable of managing multiple priorities & meeting closely-spaced, ambitious timelines;
  • Outstanding written & verbal communication skills
 

EDUCATION

Education and/or Experience: Bachelor's degree (B.A.) from four-year college or university in Engineering, Information Systems, Statistics, Informatics, Computer Science or another quantitative field with 3-5 years of experience in a Data Analyst role

 

ADDITIONAL INFORMATION

All your information will be kept confidential according to Equal Employment Opportunities guidelines.

 
 
 
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