Infocomm TechnologyData and AI

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, analysing and visualising large sets of data He works in a team setting and is proficient in the analytics tools and techniques required by the organisation. 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.

What Does a Data Analyst/Associate Data Engineer Do?

Key Responsibilities & 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  • Clean and update databases to remove duplicated, outdated or irrelevant information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

Do You Have the Skills for This Role?

A Data Analyst/Associate Data Engineer needs 3 core competencies. Here's what's required and at what level.

Supporting Skills

Developing People

Intermediate

Interacting with Others

Communication

Intermediate

Interacting with Others

Creative Thinking

Intermediate

Thinking Critically

SkillsFuture Skill Levels

3 levels
1

Basic

Recognise and understand fundamental concepts. Apply skills in routine situations with guidance.

2

Intermediate

Apply skills in varied situations independently. Analyse problems and adapt approaches as needed.

3

Advanced

Lead and innovate in complex situations. Evaluate strategies, guide teams, and drive improvements.

Technical Skills & Competencies (TSC) Levels

6 levels
1

Follow

Carry out routine tasks under close supervision. Follow established procedures and guidelines.

2

Assist

Perform tasks with some independence. Assist in non-routine situations and apply established techniques.

3

Apply

Apply skills and knowledge independently in varied situations. Analyse problems and adapt approaches.

4

Analyse

Analyse complex situations and develop solutions. Guide and mentor junior colleagues.

5

Strategise

Set strategic direction and drive innovation. Evaluate trade-offs and make high-impact decisions.

6

Transform

Lead industry transformation. Establish standards, shape policy, and provide expert advisory.

Technical Skills & Competencies

A Data Analyst/Associate Data Engineer requires 13 technical skills at specific proficiency levels.

Business Innovation

Level 4

Business and Project Management

Explore opportunities for business innovation and reform, and lead the implementation of innovative business initiatives

Budgeting

Level 3

Business Finance

Prepare business unit’s operational budgets

Business Performance Management

Level 3

General Management

Monitor performance of the department

Data Analytics

Level 3

Business Development

Develop, apply and evaluate algorithms, predictive data modelling and data visualisation to identify underlying trends and patterns in data.

Data Ethics

Level 3

Governance and Compliance

Apply and uphold principles of professional, legal and ethical conduct, policies and procedures in the handling of data

Data Visualisation

Level 3

Development and Implementation

Select appropriate visualisation techniques and develop dashboards to reflect data trends and findings

Design Thinking Practice

Level 3

Design and Architecture

Apply design thinking methodologies and execute design thinking processes to challenge norms and conventions in the organisation

Networking

Level 3

Business Development

Identify and analyse business opportunities

Project Management

Level 3

Business and Project Management

Oversee small projects or programmes, managing timelines, resources, risks and stakeholdersOversee small projects or programmes, managing timelines, resources, risks and stakeholders

Business Needs Analysis

Level 2

Business and Project Management

Document business requirements and identify basic needs as well as potential solutions

Data Engineering

Level 2

Development and Implementation

Utilise appropriate tools, systems and techniques to collect, store, extract, transform and load data according to set guidelines

Database Administration

Level 2

Operations and User Support

Conduct basic installation, configuration and upgrade of databases and servers, and perform routine data backup and recovery activities

Stakeholder Management

Level 2

Stakeholder and Contract Management

Identify key stakeholder relationships, needs and interests, and coordinate with stakeholders on a day-to-day basis

European Skills Framework

ESCO

Skills and knowledge areas required for this occupation based on European classification.

Career Paths from Data Analyst/Associate Data Engineer

Explore related roles in Infocomm Technology that share similar skill requirements.

Will AI Threaten Your Job?

81
Low riskVery High RiskHigh risk

Most at risk

store digital data and systemsprocess datacreate data sets

Most resilient

cloud technologiesperform dimensionality reductiondevelop data processing applications
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Quick Facts

TrackData and AI
Core Skills3
Technical Skills13
Key Tasks14

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