Data Analyst

TATA CONSULTANCY SERVICES ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading consultancy firm in Singapore is seeking a skilled Data Analyst who excels at analyzing and visualizing data. The ideal candidate should be proficient in SQL and Python, experienced in data wrangling, and adept with visualization tools like PowerBI. This role involves collaborating with various stakeholders to convert raw data into meaningful insights, while also focusing on performance and user experience. Opportunities for technical growth and leadership are also available.

Qualifications

• Fluent in SQL with hands-on experience with databases.
• Experience in data wrangling using analytical tools like Python.
• Familiar with data modeling for reporting systems.
• Ability to implement data transformations from source to model.
• Good experience with visualization tools such as PowerBI.
• Dynamic learner able to adopt new technologies quickly.
• Strong interest in delivering insights through data visualization.

Responsibilities

• Communicate with stakeholders to assist in data understanding.
• Oversee data mapping and transformations for data flows.
• Model and wrangle data for effective visualization.
• Design and deliver visualizations presenting key insights.
• Ensure performance and maintainability of data projects.
• Support and enhance existing data projects.

Skills

SQL

Python

Data Visualization

Data Wrangling

PowerBI

Microsoft Excel

User Experience

Statistics

Data Analysis

Actuarial

Tableau

Pipelines

Aesthetics

Team Player

Mapping

Data Analytics

Job description

Data Analyst

We are seeking a data analyst who is a team player and extremely keen in pushing themselves to learn new skills on the job or off the job. The right individual for this role will need to have a meticulous eye for data and appreciates the process of understanding, wrangling and visualizing data. This person will work with a team of experienced actuarial analysts, data scientists, developers and business resources to analyse data from its raw form, make sense of what should be its final form and from that, deliver insightful analytics to the users. With the focus on data visualization, this individual would be directed towards being an expert in the delivery of insights from the data analysis. In addition to playing the main data analyst role and being the glue between the data and the business, this individual will harness their technical expertise to wrangle and digest the data, as well as crafting a story from the data in meaningful visualizations to the business.

In this role, you will have an opportunity to work with newer modern technologies as well as tried and tested traditional technologies in the data ingestion/wrangling/storage toolchain as well as mainstream BI visualization tools. In addition to the hands‑on opportunities, this is a role that will be part of the talent growth strategy of the org. Being successful in this role would lead to technical and people leadership opportunities in the future.

Responsibilities

• Communicate with the business as well as technical stakeholders to make sense of the data and to provide own perspective to assist the business.
• Understand the data mapping and transformations that would be involved for end‑to‑end data flows from raw data to final consumable layer in the database.
• Data modelling and data wrangling - to be able to organize data at both macro and micro level and provide logical data models for the consuming visualisations.
• Data visualisation – Responsible for designing and delivering visualisations that present key insights derived from the data analysis.
• Understand importance of speed performance of visualisations and how data modelling and visualisation design impact it.
• Have an eye for aesthetics and good user experience design.
• In addition to delivery of new projects, assist in support and enhancements of existing data projects and visualisations.

Requirements

• Fluent in SQL and have in‑depth hands‑on knowledge with SQL with a relational database system or data warehouse.
• Deep working experience in handling and wrangling of data using analytical tools (eg. Python).
• Data modelling experience for analytical/reporting systems.
• Able to conceptualise the processes and steps of what is required from the business all the way to implementing the data mapping/transformation processes from source to a target data model.
• Good experience with visualisation tools such as PowerBI.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data and visualisations projects.
• This person is required to be dynamic and be a quick eager learner as knowledge about new technologies will need to be acquired on the spot.
• Have a strong interest in data visualisation and the art of delivery of insights to the end user.

Nice to haves

• Data engineering experience in creating ETL/ELT data pipelines.

Tell employers what skills you have

• Tableau
• Aesthetics
• Data Wrangling
• Microsoft Excel
• Actuarial
• Data Analysis
• Pipelines
• User Experience
• SQL
• Python
• Statistics
• Visualization
• Team Player
• Data Analytics
• Mapping
• Data Visualization