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
Requiredtech skills:
3 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 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
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