Data Analyst

SUMMARY:
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POSITION INFO:

An integral member of the Consulting Business Unit focused on developing solutions that transform business processes using Data Management and Analytics capabilities as an enabler. A data analyst who can scrutinize core (industry-specific) and non-core business processes (P2P, O2C, H2R, R2R and SD) information, using data analytics tools. The meaningful results they pull from the raw data will help clients to identify and recommend improvements to processes based on various facts and trends. Support the Consulting Business Unit during interactions with Clients, expertly advising them on solutions in the market as well as the trends that influence their businesses in relation to Data Management and Analytics, with a focus on enhancing their operational performance.

QUALIFICATION & EXPERIENCE

• Minimum Qualifications Bachelor''s Degree in Computer Science, Computer Engineering, Information
• Technology, or relevant field.
• Desired Qualifications Masters in Computer Science with a Degree in Business Management
• Minimum Experience 7 – 10 years working experience in Core Competency areas below

Desired Experience

• Deep level understanding and experience of data management principles preferably having worked in Banking, Insurance or Telecommunications sectors for at least 5 years.

CORE COMPETENCIES, ATTRIBUTES & SKILLS

• Experience designing, executing and supporting Microsoft Azure Services, with understanding of Amazon
• Cloud Services and/or Google Cloud Platform cloud solutions a bonus.
• Solution design and implementation; conceptual designs and integration of systems,
• Business intelligence, data analysis and reporting solutions,
• Data engineering; data modelling, traditional ETL processes, big data, and other bespoke solutions,
• Knowledge of back-end programming languages, specifically Python, R and SQL. Familiarity with Java or
• C++ is a bonus,
• Use data-oriented approach to work with others in solving complex business problems around operational analysis and improvement.
• Advanced knowledge and skillsets with Data mining techniques and procedures.
• Understanding of Process Mining is a bonus,
• Project Management: ability to work across a range of cross-functional projects to manager and deliver
• Data Management and Analytics solutions to Clients,

Technical Competencies

• Knowledge of data management frameworks and ability to conduct pilots to realize quick wins.
• Practical knowledge of data quality principles, data profiling and data quality tools. Ability to assess, design data quality approaches and processes.
• Practical knowledge of master data and reference data
• Practical knowledge of data governance principles and the execution of data governance requirements.
• Practical knowledge of integration methods, processes and tools. Ability to assess and design and execute data integration processes.
• Practical knowledge of data privacy principles
• Strong knowledge of Analytical and Reporting Tools and their integration into the Data Management and Analytics landscape with a clear understanding of the best combination of tools based on company size, size of data sets and more.

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