Data Analyst

Urgent opening for Data Analyst (3 positions open) ... must be able to work EMEA hours 4pm to 1am Malaysian time (hybrid) and you must be in Malaysia currently

1. Perm employment with top notch US Delivery Center in MY

As part of the Data Sciences & Analytics Team, you will work hands-on with innovative technologies

to build scalable data products and solutions for our US and global businesses. Your responsibilities

include collaborating with partners to identify insights from data, coming up with modeling

requirements, applying creativity to test hypotheses, prepare & automate data preparation

processes, build models, analyze & visualize results and integrate the solution into innovative data

products.

Responsibilities

• Research and develop an understanding of our products, tools, and processes

• Assist with the validation and delivery of products or improvements

• Prepare analysis datasets by appending data, deduping, loading data to analysis application,

and merging with other datasets

• Perform queries on the data to discern data anomalies and quality audits to ensure the

accuracy of the rules or statistical models prior to delivery to clients

• Monitor model performance and adjust models as directed by team leaders and senior data

scientists

• Perform analysis and maintenance on existing models & data products as well as the

recalibration or re-development of data products

• Assist with engineering, build teams, delivery and platform teams to ensure appropriate

data delivery and presentation

• Perform basic research/analysis which includes accurate reports, crosstabs, frequencies,

data hygiene, correlations, data summarizations, and profiles reports or profile data

• Collaborating with other data scientists and team leads to project requirements including

data sources, algorithms, and implementation

• Offer ideas for product and/or process improvements such as automation related to focus

area of work

• Utilize data and partner with data scientists to develop build audience propensity models or

data science algorithms used in creation of information products and analytical solutions

for client and partner data applications.

• Extract, load, and transform data as preparation for modeling. Build and maintain data mart

solutions to support scored model outpu

Requirements

• Working knowledge or experience with one or more of the following tools: SQL, R, Python,

Scala, Spark or similar programming language

• 3 years' experience with ETL, data transformation, data mart development, data source

ingestion, data pipelining, data warehousing solutions

• 3 years' experience with distributed computing -, Spark, Hive. Experience with Snowflake is

a plus.

• 2-3 years of experience in Linux, shell scripting and/or similar scripting languages for

automation

• Ability to demonstrate critical thinking and enthusiasm for translating data into actionable

insight to generate consistently accurate and useful analysis and models

• Ability to quality control model development and product ionization process

• Bachelor's Degree in a quantitative field (Applied Mathematics, Applied Statistics,

Economics, or Computer Science) or related degree programs and 2 years of relevant work

experience

• Ability to work independently when given detailed specifications and instruction

• At least 2 years' experience in building models and knowledge of ML Algorithms (GLM,

Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)

• At least 2 years of experience in statistical modeling techniques conducting forecasting and

other predictive modeling services using R, Python, Scala, Spark/pySpark

• Experience working with large datasets

• 
Experience with Tableau, Microsoft Excel, and Power Point

Preferred Qualifications:

• Snowflake data analyst certification and health data experience

• Knowledge of Deep Learning, Neural Network based on modeling frameworks a plus

• Familiarity with cloud environments (e.g. AWS, Google Cloud Platform, Azure etc.) a plus