Senior Data Analytics Engineer

Key Skills

Analytical and Problem solving, Apache Airflow, AWS, Data Analytics, Data Engineering, Effective communication skills, KPIs, Python Programming, SQL

Job Description

The Data Analytics Engineer is responsible for building the DISH Wireless Commercial data integrations and implementing the fully automated analytics modules catering to DISH 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 DISH 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 with the end-state architecture.

Key Responsibilities:

• Provide technical expertise in Wireless Analytics
• Understand business needs and analytics product offerings to design and build data and analytics solutions on the Elastic stack
• 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

Education and Experience:

• 4+ years as a Data Analytics engineer in the wireless and/or telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management, etc.
• 5+ years of hands-on experience with the development and delivery of secure, reliable, and scalable big data solutions using agile methodologies

Skills and Qualifications:

• Experience in building highly performant SQL and Python-based solutions delivered using file feeds, Data-as-a-Service APIs, streaming data analytics like Elasticsearch, and BI tools like Kibana & 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 a data catalog with a dictionary
• Experience with scheduling tools like Control-M or Airflow
• Experience with high-performance/scalable computing using Spark or Kubernetes
• Experience with Modern Data Warehouses like Snowflake
• 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

Salary Ranges

Compensation: $96,250.00/Year - $125,000.00/Year

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.