
Data Analyst
1 day ago
As a leader in telecom tech, we build secure, high-performance Unified Communication Systems used by Tier-1 providers, enterprises, and governments. Our in-house AI platform is built for scale, security, and real-world impact.
Join a vibrant, diverse team working on cutting-edge projects in telecom, AI, IoT, and digital transformation—within a fast-paced, learning-focused environment.
: Kochi, Kerala
Experience : 3+ Years
Salary : As per Industry Standards
Job Code : /01
Employment Type : Full-time
Job Description
We are seeking a highly skilled Data Analyst (3+ years) with proven expertise in data visualization, statistical analysis, and cloud-based analytics to design, develop, and maintain enterprise reporting solutions. This role combines advanced analytical capabilities with business intelligence expertise to optimize decision-making, enhance system interoperability, and drive high-impact digital transformation initiatives across the telecom, IT, networking, and AI domains.
Responsibilities Analyze large datasets (customer, sales, network, and product data) to identify patterns, trends, and actionable insights.
Develop, maintain, and optimize dashboards and reports using tools like Power BI, Tableau, or Looker .
Collaborate with engineering, product, and business teams to align data with organizational goals.
Build predictive models and apply statistical techniques to forecast business outcomes and detect anomalies.
Ensure data accuracy, quality, and consistency through validation and cleaning processes.
Contribute to data pipeline optimization, ETL workflows, and cloud-based analytics platforms (AWS, Azure, or GCP).
Translate analytical findings into recommendations to improve customer experience, marketing strategies, and operational efficiency.
Eligibility Criteria
Bachelor’s/Master’s degree in Computer Science, Engineering, Statistics, Data Science, or a related field.
3+ years’ experience as a Data Analyst (preferably in telecom, IT, or related industries).
Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation and analysis.
Strong skills in data visualization tools (Power BI, Tableau, Looker).
Experience working with databases (SQL & NoSQL) and large-scale datasets.
Clear understanding of data warehousing, ETL processes, and cloud analytics .
Ability to communicate insights effectively to both technical and non-technical stakeholders.
Nice to Have
Exposure to machine learning techniques (clustering, regression, classification, anomaly detection).
Familiarity with network/telecom datasets, IoT, or time-series data .
Hands-on experience with big data frameworks (Hadoop, Spark, Databricks).
Knowledge of geospatial data and related tools (QGIS, ArcGIS).
Certification in Data Analytics or BI platforms (Google, Microsoft, AWS, etc.).
What We Look For A passion for data analysis with a keen eye for uncovering insights and patterns.
Strong ownership mindset with the ability to manage projects independently.
Enthusiasm for continuous learning and staying updated with the latest tools, technologies, and industry trends.
Commitment to delivering accurate, impactful insights with a focus on business outcomes and decision support.
Willingness to collaborate across teams, share knowledge, and contribute to collective growth.
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