Description
Responsibilities
To empower and support customers (specifically, mobile network operators) to define, test, prioritize, execute and report on multi-channel, rule or event-based campaigns via our in-house campaign management system.
Perform subscriber profiling based on certain attributes ,consumer behavior and business rules as defined by customer
Read, extract, transform, stage and load data using selected tools and frameworks as required and requested.
Perform end to end maintenance of all components and services of the campaign management system
Perform tasks such as writing scripts, calling APIs, creating and modifying data flows, write SQL queries, etc.
Work closely with the other team members for 3rd party integration of data sources
Monitoring and reporting on campaign performance and tracking leads for call to action.
Provide input into documentation and updating of Standard operating procedures and process documents.
Provide input into definition data retention policies.
Qualification, Skills and Experience
Bachelor's Degree or more in Computer Science or a related field.
5 - 7 years of recent experience in the support of campaign management systems.
Very proficient in the use of SQL/PL-SQL.
5 – 7 years of recent experience in Business intelligence, data analytics and familiarity with the Hadoop platform including the HDFS file system is added advantage.
Programming experience, ideally in Python, Spark, Kafka or Java, and a willingness to learn new programming languages to meet goals and objectives.
Experience in C, Perl, JavaScript or other programming languages is added advabtage.
Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
Familiarity with Hive, Spark and MapReduce is added advantage.
Experience processing large amounts of data, including integrating data from multiple sources.
A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.
Experience in production support and troubleshooting.
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Responsibilities
Monitor and analyse daily call data records to ensure they are in trend, investigate, escalate and/or fix issues where they exist.
Work closely with Revenue Assurance and Fraud Management department to reconcile call data records and report exceptions or possible fraud for further investigation
Coordinate and conduct sample/test bill run and work with the IT Testing and Revenue Assurance & Fraud Management teams to ensure validation is complete for approvals before the actual bill run is initiated
Ensure that all participating call data events are well and completely processed at the end of each month
Complete error CDR resolution and bucket management
Plan, coordinate and conduct actual bill run on the 1st day of the new month, give regular updates on progress to all stakeholders till completion.
Ensure summarized bills are sent via SMS and email upon successful validation and approvals by Revenue Assurance and Fraud department
Conduct post bill run analysis, generate reports required by all stakeholders and send within agreed timelines
Monitor the generation of Age debt reports and ensure it is sent on or before the 7th day of the new month
Manage and engage internal customers (Enterprise, Finance, Customer Care and Revenue Assurance)
Resolution of all escalated Billing and Charging Systems issues (ticket and emails) with agreed service levels and give quality feedback
Manage all charging system nodes handling rating, billing, accounts receivables, dunning control and other related activities and ensure a pro-active working condition for both hardware and software
Ensure proactive monitoring of the systems through available tools & key performance reports and make sure all alarms are treated on priority
Ensure all business and system reports are accurately and duly generated for business decisions.
Ensure new software releases pass the quality test, are fit for purpose and deployed successfully.
Analyse new business requests and proffer best practice solutions with appropriate cost and no impact to legacy systems.
Ensure transfer of knowledge to other team members and good handshake with interfacing departments
Qualification, Skills and Experience
Minimum of Bachelor's degree in Engineering, Information or any related field with evidence of proven experience.
Minimum of Five (5) years’ work experience with at least Three (3) years in a Telecom Billing and Charging systems role.
Prior experience in Telecommunication in an Operations / Services / Technology environment.
Strong problem-solving skills
Good knowledge and use of SQL
Strong knowledge of Unix Operating System
Good analytical skills & strong attention to details.
Excellent ability to express ideas verbally, including strong presentation skills.
Good engagement & communication skills.
Ability to plan, organize and manage pressure
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Responsibilities
Understanding of customer's business needs with relation to Solution Architecture and design.
Complete understanding of the data information on the basis of business understanding to raw data collection , processing ,cleansing and modeling.
Using data mining tools and algorithms for data modeling.
Adjustment and optimizing the modeling for performance .
Complete model deployment and outputting of results.
Qualification, skills and experience.
Minimum of Bachelor’s degree in Engineering, Information or any related field with evidence of proven experience.
Familiar with the database, data mining algorithms and principles.
Basic knowledge of mobile network architecture and operation process (eg: 2/3/4G network
Data mining tools: basic functions of SPSS tools, R language or Python Language, including software basic situation and the basic operation.
Understands ORACLE / SYBASE basic knowledge , basic commands and simple SQL queries.
Basic knowledge of telecommunications industry is preferred.
work experience in mobile operator, CRM, Billing, BI knowledge; CS / PS core network knowledge with vendor’s CEM platform experience
Good communication and presentation skills
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