Senior Data Engineer, Analytics Enablement & Processing

Manulife

Makati City, PH

4d ago

The Opportunity

The customer is the focus of everything we do, and millions of end users rely on our products daily. We believe in the value of empowering Date Engineers with the resources to solve critical problems for the future of our business, which is why we need you.

Manulife IT Delivery Center is seeking a self-motivated Data Engineer, who is obsessed with delivering value, is forward-thinking, and excited to develop and implement analytics-enabled solutions to improve business process, to generate insights, support business goals and strategy development

What motivates you?

You obsess about customers, listen, engage and act for their benefit

You think big, with curiosity to discover ways to use your agile mindset and enable business outcomes

You thrive in teams, and enjoy getting things done together

You take ownership and build solutions, focusing on what matters

You do what is right, work with integrity and speak up

You share your humanity, helping us build a diverse and inclusive work environment for everyone

We are looking for someone with :

Proficiency in the following languages : Hive, SQL, Python, R and Spark

Experience with at least two of the following analytics tools : Zeppelin, Jupyter Hub, R Studio, R Shiny, Neo4J, DataRobot or other analytics tools

Experience with HDP, CDH or other Hadoop platform

Knowledge of quantitative analysis and the ability to work with large datasets and databases

Knowledge of descriptive statistics, and use of appropriate charts and visuals for effective reporting

Knowledge of machine learning / predictive analytics such as time-series forecasting, regression (linear, GLM, etc.), decision trees, random forests, basket analysis, etc.

Knowledge of evaluating success of predictive models, both for classification (e.g. Percent Correct Classification, confusion matrix, lift, gain, Receiver Operating Characteristic and Area Under the Curve) and continuous (R-squared, average error, mean squared error, median error, average absolute error, median absolute error) models

Advanced knowledge of Microsoft Excel features such as pivot tables, pivot charts, filters, and functions

Ability to interpret and translate terminology between technical, business, and analytics users

Excellent communication and interpersonal skills

Excellent analytical, problem solving and solutioning skills

A capacity for constant learning from both success and failure

Open to change and continuous improvement

Nice to Haves :

Proficiency in SAS, Stata, Matlab or SPSS

On the job you will :

Develop Analytics best practices within Asia, including :

oRight tool for the right outcome

oOptimize analytics queries, machine learning and AI for analytics partners

oSimple and easy to follow standards

Bridge communications between Asia Data Office and various analytics teams across the region

Enhance analytics & AI deployment solution and frameworks

Enhance analytics data lab technologies and processes for better performance, efficiency and effectiveness in support of analytics & AI development activities

Proactively troubleshoot issues and work with relevant teams on resolution

Educate & train various teams on how to leverage best practices of existing and emerging technology capabilities in the data, analytics & AI space

Support Asia Data Office in development of internal analytical requirements

Support Analytics team as they optimize multivariate analysis, predictive modelling, cluster, market basket analysis using sophisticated statistical techniques

Present / visualize the data with the relevant use of graphs and charts in business intelligence clients, e.g. Power BI

Apply advanced analytics techniques to reveal actionable data insights and drive operations efficiency and business values

Our commitment to you

Our mission; to be a part of making Decisions Easier and Lives Better

A leadership team dedicated to your growth and success

A bold ambition and set of goals to be a leader in driving transformation in our industry

Our best. Every day.

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