Brillio
AI & Data Engineering : Insights & Analytics
SeniorLeadDataAnalyst
“Senior Lead Data Analyst at Brillio. Skills: Spark, Pyspark, SQL, Python, Hive, Data Modelling Fundamentals, Tableau, Looker. Lead Data Analyst needed in New York, NY and various unanticipated locations throughout the U. S.. Utilize the power of solutions that can be driven through Visualization and ETL tools.”
What You'll Achieve.
revenue growth; cost optimization; operational efficiency; real-time performance view of SLA; service quality; timely execution of the project; company’s business objectives
Industry & Context.
data analysis; cost optimization; operational efficiency
Travel and relocation may be required.
What They're Looking For.
Must Have
Master's degree (or foreign equivalent) in Computer Science, Engineering (any) or related field plus two (2) years of IT experience, Two (2) years of IT experience must include experience in SQL Server or Azure, Bachelor's degree (or foreign equiv. ) in Computer Science, Engineering (any) or related field, plus five (5) years of progressive experience, Two (2) years of the five (5) years of progressive experience must include experience with SQL Server or Azure, SQL, Data Modelling Fundamentals
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Lead Data Analyst needed in New York
NY and various unanticipated locations throughout the U. S.
Utilize the power of solutions that can be driven through Visualization and ETL tools.
Establish connection with different teams to evaluate the automation and service management offerings Python can bring in.
Drive discussions with various teams to foresee opportunities to unify the operations console across businesses.
Implementation of Customer Dashboard and Reports for real-time performance view of SLA.
Work on SQL Server (or client specific RDBMS) developing customized codes and testing.
Responsible for creating operational insights for telecom network related data from Fuze and integrate with other data sources to identify revenue growth/cost optimization/operational efficiency opportunities.
Interpret data and define new KPIs for data analysis from multiple sources.
Use data visualization and other data-gathering methods to either provide internal strategic direction or guide decisions for other teams for new tower builds
compliance and usage adoption.
Work on acquiring data from primary or secondary data sources and preserve the data integrity of these sources using SQL
Python and other analytical tools.
Create powerful data visualizations using tools like Tableau and Looker.
Focus on the overall service quality and timely execution of the project.
Active participation and contribution to all service improvement initiatives to ensure they are aligned to our customers’ expectations.
Successfully implement multiple Analytics/IT projects by providing the technology knowledge and vision to support the company’s business objectives and evaluate and recommend all software for business processes.
Be accountable for all aspects of service delivery in conceptualization
transition and delivery.
Understand clearly operational definitions for all understand how to measure all critical data points in the processes
improve any irregularities reported because of the Metrics Dashboards.
Proactively initiate Process Improvements keeping in mind inputs from Audit Process.
Manage Process & Framework.
How You'll Work.
Team & Collaboration
Establish connection with different teams to evaluate the automation and service management offerings Python can bring in.; Drive discussions with various teams to foresee opportunities to unify the operations console across businesses.; guide decisions for other teams for new tower builds, OFS analysis, Fallout analysis, compliance and usage adoption.
Communication Scope
communication
Process & Methodology
conceptualization, planning, design, automation, transition, delivery
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