Data Analyst/Associate Data Engineer

The Data Analyst/Associate Data Engineer blends historical data from available industry reports, public information, field reports or purchased sources, basic data cleaning and transformation, and performs analysis to support business and product decisions. He/She uses development tools to generate reports, dashboards, clean and prepare the data and analytical solutions according to business rules and specifications. He is a part of important projects and coordinates with internal teams to develop projections on outcomes of implementing business strategies that result in actionable insights. He also assists in the data collection, processing and warehousing tasks, which may also include collection, parsing, analyzing and visualizing large sets of data. He works in a team setting and is proficient in the analytics tools and techniques required by the organization. He is also familiar with the relevant software platforms on which the solution is deployed on. The Data Analyst/Associate Data Engineer is meticulous and detailed-oriented. He enjoys working with data and displays willingness to learn. He adopts an analytical approach to solving problems and displays confidence when communicating ideas.

Skills and Competencies

Technical Skills & Competencies

Budgeting
Proficiency Level
"Prepare business unit’s operational budgets "
3
Business Innovation
Proficiency Level
"Explore opportunities for business innovation and reform, and lead the implementation of innovative business initiatives"
4
Business Needs Analysis
Proficiency Level
"Document business requirements and identify basic needs as well as potential solutions"
2
Business Performance Management
Proficiency Level
"Monitor performance of the department "
3
Data Analytics
Proficiency Level
"Identify underlying trends and patterns in business data using statistical and computational techniques and tools "
2
"Develop, apply and evaluate algorithms, predictive data modeling and data visualization to identify underlying trends and patterns in data "
3

Generic Skills & Competencies

Leadership
Proficiency Level
Lead by example at team level. Encourage and guide others to adopt a point of view, make changes or take action. Provide a team environment that facilitates relationships building, teamwork and the development of others.
Intermediate
Developing People
Proficiency Level
Provide coaching to others to develop their skills and knowledge on their jobs to enhance performance.
Intermediate
Computational Thinking
Proficiency Level
Modify existing computational models, tools and techniques to develop different solutions.
Intermediate
Communication
Proficiency Level
"Articulate and discuss ideas and persuade others to achieve common outcomes "
Intermediate
Creative Thinking
Proficiency Level
Connect or combine ideas or information from unrelated fields or applications to generate multiple ideas to bring about a specific outcome.
Intermediate

Critical Work Functions and Key Tasks

Identify business needs

• Identify information needs of stakeholders required for decision-making 
• Assist in the translation of business needs into analytics and reporting requirements 
• Recommend types of data and data sources needed to obtain the required 
information and insights 
• Assist in identifying potential business intelligence service offerings required by the business

Prepare and analyse data

• Gather data from internal systems and external sources 
• Perform data entry tasks in data collection systems 
• Clean and update databases to remove duplicated, outdated or irrelevant information 
• Perform data validation and quality control checks 
• Perform basic extract, transform and load related activities to prepare data for analysis or transfer 
• Analyse data to identify trends, patterns and correlations to support decision-making 
• Propose solutions and recommendations to address information need 

Present Insights

• Develop automated and logical data models and data output methods 
• Translate analyses into common business language to influence business decisions or actions 
• Design data reports and visualisation tools to facilitate data understanding through storytelling 

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