RA Analyst & Developer - Contractual

Titan Company; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Titan Company is seeking a Data Engineering Expert & Specialist to design and implement advanced data pipelines and analytics capabilities. You will extract insights, identify revenue patterns, and enable data-driven decisions across finance, operations, and sales.

Responsibilities include building scalable pipelines with PySpark, Python, SQL, and Airflow, with a focus on data quality, governance, and revenue assurance across the business value chain.

Qualifications

• BTech graduate in Data Science & ML.
• 3–5 years of relevant experience.
• Proficiency in Python, SQL, PySpark and data manipulation libraries.

Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark, Python, SQL, Spark and cloud platforms.
• Identify, quantify, and remediate revenue leakages and process inefficiencies.
• Perform end-to-end data analysis across commercial, operational, billing, finance, supply chain, and customer processes.
• Build data-driven frameworks to detect anomalies, reconciliation breaks, and revenue assurance risks.
• Collaborate with business, finance, technology, product, and compliance teams to optimize processes.
• Develop automated monitoring and reconciliation solutions using Python, SQL, PySpark, Airflow and data quality frameworks.
• Schedule, orchestrate, and monitor batch and near real-time workflows with Apache Airflow.
• Implement data quality, lineage, reconciliation, and observability frameworks.

Skills

Data analysis

Revenue leakage detection

Problem solving

Leadership

Strategic thinking

Analytical mindset

Education

BTech in Data Science & ML

Tools

PySpark

Python

SQL

Airflow

Tableau

Power BI

Pandas

NumPy

scikit-learn

TensorFlow/PyTorch

Job description

As a Data Engineering Expert & Specialist at Titan Business, you will be responsible for designing and

implementing advanced Data Engineering techniques , designing Data Pipelines on vast datasets. Your primary

objective will be to extract meaningful insights, identify patterns, and deliver business rules, KPIs , Revenue

leakage from the transactions to drive informed business decisions and optimize operational efficiency.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using PySpark, Python, SQL, Apache Spark, and cloud-based data platforms to analyze large-scale datasets across the business value chain.
• Identify, quantify, and remediate revenue leakages, process inefficiencies, control gaps, and systemic issues impacting business performance, profitability, and customer experience.
• Perform end-to-end data analysis across commercial, operational, billing, finance, supply chain, and customer processes to uncover hidden revenue opportunities and operational risks.
• Build data-driven frameworks and controls to proactively detect anomalies, reconciliation breaks, process exceptions, and revenue assurance risks.
• Collaborate with business, operations, finance, technology, product, and compliance teams to understand business processes, map value streams, and identify opportunities for process optimization and control enhancement.
• Develop automated monitoring and reconciliation solutions using Python, SQL, PySpark, Airflow, and data quality frameworks to strengthen process governance and reduce revenue leakage.
• Design and implement robust ETL/ELT pipelines leveraging technologies such as: Utilize statistical analysis, data mining, anomaly detection, and AI/ML techniques to identify patterns, trends, fraud indicators, control weaknesses, and revenue-impacting exceptions.
• Schedule, orchestrate, and monitor batch and near real-time workflows using Apache Airflow, ensuring reliability, scalability, and operational excellence of critical business processes.
• Implement data quality, lineage, reconciliation, and observability frameworks to ensure accuracy, completeness, and consistency of enterprise-wide data assets.
• Partner with Data Engineering, Enterprise Architecture, and IT teams to integrate analytics and revenue assurance controls seamlessly into existing business and technology ecosystems.
• Create executive dashboards, KPI frameworks, and actionable insights using visualization tools such as Power BI, Tableau.

External Interfaces Internal Interfaces

• Consulting Organisations
• Retail stores and our associate partners
• Working with our internal Finance team Commercial teams in the divisions Working with our Regional Commercial teams

Job Requirements

Education BTech Graduate in Data Science & Machine Learning

Relevant Experience 3 to 5 years

Behavioural Skills Leadership abilities Influencing skills Self-starter Inquisitiveness

Knowledge Analytical capability in bringing insights from data. Business acumen and strategic capability

SQL & Complex SQL, Microsoft applications Proficiency in programming languages such as Python, or Java, and familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn). PySpark.

Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their practical applications. Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform) capabilities of integrating AI Model over cloud.

Excellent problem-solving skills and the ability to translate business requirements into technical solutions.

Visualisation skills like Tableau / Power BI