Data Analyst

Qualifications
*Having expertise in data governance, telecom domain is mandatory*
Needs to understand mobile Network architecture.
Should be familiar with the Network terminologies as we will be working on these Telecom network inventory data.
Experience implementing Data Quality Rules
8 or more years of IT development/programming/coding professional work experience with a minimum of 6 years of hands-on experience with any data quality tool
Proficiency in development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling
Experience assessing the data flows
Excellent data analysis and data profiling skills using any tool or excel based.
Strong knowledge & 5+ years of experience on SQL & PL/SQL
Experience creating business requirement & technical design documents
Experience and understanding with unit testing, release procedures, coding design and documentation protocol
Good to have experience with at least one end to end Data Governance implementation
Must possess good oral and written communication and presentations skills with the ability to lead meetings effectively. Ability to communicate technical information clearly and articulately
Experience using Agile methodology.
Job Description
Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
Detect, examine, and decode trends or patterns within intricate datasets.
Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
Coordinate with stakeholders to align business and informational priorities.
Identify opportunities for process enhancements.
Employ statistical techniques to scrutinize data and produce actionable business insights.
Collaborate with the stakeholder team to determine and prioritize the needs of different business units.
Develop data dashboards, charts, and visual aids to support decision-making across departments.
Convey insights through both reports and visual presentations.
Partner with engineering and product development teams to understand business requirements.
Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.