Data Analyst

[CANDIDATES WHO REQUIRE WORK PASSES NEED NOT APPLY]

To us, good performance is about much more than turning a profit. It is about showing how you embody our valued

behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.

We are committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where

everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to

provide better support to our broad client base.

Responsibilities:

The Venture is a fintech based in Singapore.

The successful candidate will be the part of a start-up team leading developers to build an innovative platform and

app leveraging on data, analytics to drive the business. This is a rare opportunity for a self-driven, strong

entrepreneurial spirit, start-up minded, solid and passionate individual to participate and contribute to a venture.

Perform full lifecycle of data analyst / data science activities, including conceptualizing to operationalization.

Provide critical thinking to look at numbers, trends, and data and come to correct conclusions based on the

findings.

Interpret and analyze data problems, turning business problems into data insights

Work with various people from the tech and marketing teams in meeting milestones, timelines, and

deliverables for projects.

Collate and present key findings to stakeholders with actionable recommendations

Define data sources and specifications, design and implement processes and models for complex, large-

scale datasets used for predictive modelling, data mining, and research purposes.

Lead ideation, experimentation, hypotheses formulation and testing

Use Data Science or Data Analytics tools to design analytics dashboards. Develop dashboard visualization,

metrics, insights; establishing baselines, targets, averages and benchmarks

Ensure data quality and integrity

Requirements:

Background in Statistics, Information Technology, Business Analytics, Data Science, Computing or related

quantitative discipline.

Good knowledge and experience with visualisation tools such as AWS QuickSight, Qlikview, Power BI,

Tableau; and data science tools such as R, Python, Jupyter, AWS Sagemaker

Experience with SQL and NoSQL databases

Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark etc is a plus

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation,

scenario analysis, modelling, clustering, decision trees, neural networks, etc.

Deep expertise in common data science tools/package (sklearn, mllib, tensorflow, torch, etc.) is a plus.

Good knowledge of data warehousing, data lake, data mining, advanced data analytics & modelling

At least 5 years of relevant working experience, having implemented at least 2 major data warehouses /

datamarts, data analytics, business intelligence or data science projects

Methodical, process oriented, organised and proactive self-starter

Able to work well within a team with diverse personalities

Able to multi-task, quick to adapt and able to work in fast paced environment. Having worked in an agile

environment is a plus.

Good written and spoken communication, presentation and negotiation skills