Data Analytics Manager

Role & responsibilities

• Provide subject matter expertise on Wireless Analytics and technical leadership
• Manage Data & Analytics team and execute the projects end to end
• Understand business needs and analytics product offerings to define Commercial data and analytics architecture
• Evaluate and recommend appropriate software to deliver analytics solutions
• Hire and develop an exceptional Data Analytics team
• Work with business teams, define ROI & business value for data analytics products
• Build technical, product vision and long term plan for the data analytics team
• Brainstorm ideas and execute proof-of-concepts and prototypes
• Ensure implementation of agreed upon architecture and infrastructure
• Address technical concerns, ideas and suggestions
• Assist in solving technical problems when they arise
• Identify, evaluate and assess risks to mitigate them and eliminate issues that may hinder successful delivery of solutions
• Monitor systems to ensure they meet the partner, user and business goals
• Execute and deliver solutions, features using agile delivery methodologies

Preferred candidate profile

• 8+ years as a Data Analytics Manager in the wireless/telecom space esp., in Sales, Marketing, Retention, Product, Revenue and Partner Management etc
• 14+ years of hands-on experience with development and delivery of secure, reliable and scalable big data solutions using agile methodologies
• 5+ years of hands-on experience in modern analytics platforms like Snowflake, Kafka, Elastic, Dataiku and related AWS services
• Expert in building high performance and scalable solutions delivered using Streaming Data Analytics, Data-as-a-Service APIs, and BI tools
• Understanding of strategic IT vision and designing analytics solutions
• Expert in data management and engineering capabilities
• Experience with design & deliver of fully self-service analytics solutions
• Experience designing fully automated, configuration driven, extensible solutions
• Experience supporting and working with cross-functional teams in a dynamic environment across different geographies and vendors
• Experience engaging in programs with multiple stakeholder organizations
• Experience building and maintaining data catalog with dictionary
• Experience in converting business scope to insights, KPIs and metrics
• Experience with establishing Data Governance rules aligning with stakeholders
• Experience with scheduling tools like Control-M or Airflow
• Experience identifying, defining and applying data quality improvements
• Ensure compliance on all deliverables by performing data audits and analysis

Perks and benefits

• Employee Stock Purchase
• Term Insurance
• Accident Insurance
• Health Insurance
• Training Reimbursement
• Gratuity
• Mobile and Internet Reimbursement
• Team Outings