What you'll do:

• Devises and implements master data management processes for specific subsets of data.
  
• Assesses the integrity of data from multiple sources.
• Provides advice on the transformation of data from one format/medium to another. Maintains and implements information handling procedures.
• Enables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measures.
• Investigates enterprise data requirements where there is some complexity and ambiguity.
• Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives.
• Provides advice and guidance to others using the data structures and associated components.
• Implements physical database designs to support transactional data requirements for performance and availability.
• Develops and maintains specialist knowledge of database and data warehouse concepts, design principles, architectures, software and facilities.
• Assesses proposed changes to object/data structures and evaluates alternative options.
• Implements data warehouse designs that support demands for business intelligence and data analytics.
• Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.
• Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.
• Carries out complex data quality checking and remediation.
• Applies existing data science techniques to new problems and datasets using specialised programming techniques.
• Selects from existing data sources and prepares data to be used by data science models.
• Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.
• Publishes and reports on model outputs to meet customer needs and conforming to agreed standards.
• Applies given machine learning techniques to data, under the guidance of technical leadership.
• Analyses and reports findings and remediates simple issues using algorithms implemented in standard software frameworks and tools.
• Sources and prepares data for analysis and performs standard business intelligence analysis activities.
• Creates and delivers standard reports in accordance with stakeholder needs and conforming to agreed standards.
• Investigates the need for new or revised business intelligence analysis.
• Contributes to the recommendation of improvements. Engages with stakeholders under direction.
• Applies a variety of visualisation techniques and designs the content and appearance of data visuals.
• Operationalises and automates activities for efficient and timely production of data visuals.
• Selects appropriate visualisation approaches from a range of applicable options.
• Contributes to exploration and experimentation in data visualisation.
• Applies and maintains specific security controls as required by organisational policy and local risk assessments.
• Communicates security risks and issues to business managers and others. Performs basic risk assessments for small information systems.
• Contributes to the identification of risks that arise from potential technical solution architectures. Suggests alternate solutions or counter measures to mitigate risks. Defines secure systems configurations in compliance with intended architectures.
• Supports investigation of suspected attacks and security breaches.

What makes you a great fit:

• 5-8 years experience in data analytics, ideally within a commodity trading or Financial Services industry/sector.
  
• T-SQL programming and Microsoft SQL server.
• Microsoft SQL server database services (SSRS, SSAS, SSMS).
• Remote connection methods for cloud hosted database services access.
• Data security techniques for data at rest and data in transit such as transparent data encryption (TDE).
• Microsoft Azure cloud services (DaaS, Analysis Service, Storage Containers and so on).
• No-SQL (unstructured datastore) such as MongoDB (Azure Cosmos).
• Microsoft Visual Studio (for Symantec modelling) and Python (for ETL).
• Be self motivated, proactive with thoroughness and attention to detail in communication, documentation etc. without assumption.
  
• Strategic and analytical thinking with ability to grasp customer requirements.
• Ability to conceptualize solutions and present ideas to management and stakeholders.
• Great communication and negotiation skills with the ability to be proactive in adapting to technology needs and requirements.
• Well organised with strong time management capability.

About us:

ITC Infotech is a global technology solution and services leader providing business-friendly solutions, that enable future-readiness for clients. We seamlessly bring together digital expertise, strong industry-specific alliances, and deep domain expertise from ITC Group businesses. Our solutions and services are focused on Banking and financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality.

ITC Infotech is a wholly-owned subsidiary of ITC Ltd, one of India’s most admired companies.