RA Analyst & Developer - Contractual

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