Lead Data Analyst - R01565187
About The Position
Brillio is seeking a Lead Data Analyst to join their team. This role involves utilizing visualization and ETL tools to drive solutions, collaborating with different teams to evaluate automation and service management offerings through Python, and driving discussions to unify operations consoles across businesses. The position includes implementing Customer Dashboards and Reports for real-time performance views of SLAs. The analyst will work with SQL Server (or client-specific RDBMS) to develop and test customized codes, create operational insights from telecom network data, and integrate with other data sources to identify opportunities for revenue growth, cost optimization, and operational efficiency. Responsibilities also include interpreting data, defining new KPIs, using data visualization to provide strategic direction or guide decisions for new tower builds, OFS analysis, Fallout analysis, compliance, and usage adoption. The role requires acquiring data from primary or secondary sources while preserving data integrity using SQL, Python, and other analytical tools, and creating data visualizations using tools like Tableau and Looker. The analyst will focus on overall service quality, timely project execution, and actively participate in service improvement initiatives. They will be responsible for successfully implementing Analytics/IT projects by providing technology knowledge and vision, evaluating and recommending software for business processes, and overseeing all aspects of service delivery from conceptualization to transition and delivery. The role also involves understanding operational definitions, measuring critical data points, improving irregularities reported by Metrics Dashboards, proactively initiating process improvements based on audit inputs, and managing processes and frameworks.
Requirements
- 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.
- In the alternative, a 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.
- Any suitable combination of education, training, or experience.
- Spark - Pyspark
- SQL (Basic + Advanced)
- Python
- Hive
- Data Modelling Fundamentals
Nice To Haves
- Experience with Tableau and Looker for data visualization.
Responsibilities
- 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, OFS analysis, Fallout analysis, 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, planning, design, automation, transition and delivery.
- Understand clearly operational definitions for all processes; 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.
Benefits
- Standard Corporate Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
