Description
💼 Industry: Telecommunications
🕒 Experience Level: Mid-Level (3+ Years)
Work Mode: Hybrid
Job Summary: We are seeking a skilled Business Intelligence (BI) Specialist to join our team and help transform complex data into actionable insights. The ideal candidate will play a key role in designing and implementing scalable data solutions, building ETL processes, and supporting business decision-making through analytics and reporting.
📩 Interested and qualified candidates should apply via LinkedIn or send applications to: ibohjp@ebsafr.com cc: jibs.ray@gmail.com
Requirements
Requirements
Bachelor’s Degree in Computer Science, Engineering, or a related field (required).
Additional qualifications in Statistics or Mathematics are an advantage.
Minimum 3 years of hands-on experience with ETL processes.
Telecommunications (Telco) experience is highly preferred.
Strong experience in Python programming.
Proficiency with Apache Spark and Spark Streaming architecture.
Experience working with Big Data technologies such as Hadoop, Kafka, Hive, HBase, and Spark.
Familiarity with structured and unstructured data processing.
Understanding of distributed computing and scalable application development.
Experience integrating AI algorithms into enterprise solutions is an added advantage.
Tools & Technologies
SQL / NoSQL Query Builders
Power BI
Postman & SoapUI
MS Office Suite
MS Visio
Soft Skills
✔ Strong analytical and problem-solving abilities
✔ Effective communication and presentation skills
✔ Strong documentation and reporting skills
✔ Ability to work collaboratively in cross-functional teams
Bonuses
Benefits
Responsibilities
Key Responsibilities
Translate business requirements into data pipeline specifications and data templates.
Design, develop, and maintain ETL processes and scalable data solutions on the organization’s Big Data platform.
Analyze complex datasets using statistical techniques to identify trends and insights.
Develop business intelligence reports and dashboards to support data-driven decision-making.
Build and maintain data ingestion, data processing, APIs, and computation services.
Implement data schemas, metadata frameworks, and data quality controls.
Perform ETL integrations with multiple data sources and transform unstructured data for analysis.
Collaborate with cross-functional IT teams to troubleshoot data issues and improve data processes.
Prepare technical documentation, solution specifications, and system designs.