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Location: CO
Job Type: Contract to Hire
Job Code: JPC - 453

Job Description

Title: Data Analytics Engineer

CTH – convert within 90 days

Visa—any as long as they can convert at 90 days

Conversion Salary: Junior- Max 105k, Senior: Max 140k

On-Site– Meridian

Immediate need

 

Data Analytics Engineer Junior OR Senior


The Data Analytics Engineer is responsible for building the Wireless Commercial data integrations and implementing the fully-automated analytics modules catering to the business team needs and the analytics product offerings in the marketplace for Commercial customers. The engineer will focus on building the data pipelines, insights, KPIs and metrics using the Wireless data from BSS, OSS, NSS or external sources to business/partners/customers. This individual will play an active role in delivery and ensure alignment to the end-state architecture.

Responsibilities will vary, but ultimately include:
  • Provide technical expertise in Wireless Analytics
  • Understand business needs and analytics product offerings to design and build data and analytics solutions
  • Analyze business and technical requirements
  • Quickly build prototypes to test out proof-of-concepts
  • Address technical concerns, ideas and suggestions
  • Assist in solving technical problems when they arise
  • Monitor systems to ensure they meet the partner, user and business goals
  • Deliver solutions, features using agile delivery methodologies

 

Skills, Experience and Requirements

  • 2+ years as a Data Analytics engineer in the wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management etc.
  • 3+ years of hands-on experience with development and delivery of secure, reliable and scalable big data solutions using agile methodologies
  • Experience in building highly performant SQL and Python based solutions delivered using file feeds, Data-as-a-Service APIs, streaming data analytics or BI tools like Tableau
  • Experience in data management and engineering capabilities
  • Experience in cloud technologies (like AWS) and data analytics platforms
  • Experience in delivering of self-service analytics, insights, KPIs and metrics
  • Experience working with cross-functional teams in a dynamic environment across different geographies and vendors
  • Experience building and maintaining data catalog with dictionary
  • Experience with scheduling tools like Control-M or Airflow
  • Experience with high performance/scalable computing using Spark or Kubernetes
  • Experience with modular/object oriented programming
  • Ensure compliance on all deliverables by performing data audits and analysis
  • Excellent written/verbal communication skills
  • Strong analytical and problem-solving skills
  • Ability to adapt and deep dive into new technologies
  • Strong desire to learn new things and continually improve

 

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