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Jobs that require sas skill

SINGAPORE CLINICAL RESEARCH INSTITUTE PTE. LTD.
15Jan
Biostatistician
SINGAPORE CLINICAL RESEARCH INSTITUTE PTE. LTD.   via JobsCentral



Roles & Responsibilities

We are in the process of expanding our Biostatistics team, and looking for a Biostatistician preferably with a PhD degree and previous experience in clinical research. Candidates with substantial experience will be considered for a Senior Biostatistician position. Candidate with strong methodological background and expertise in clinical study designs, grant proposal writing, advanced applied statistical analysis & modelling and manuscript writing is preferred.

Provide statistical support for    Read more

clinical studies, including study design, sample size estimation, patient randomization, statistical analyses (using SAS), and interpretation of data and reporting of results.

Provide statistical inputs for grant proposal, manuscript and clinical study report writing

Provide research consultation and mentoring to clinical researchers

Provide training and preparing educational material on topics related to clinical research

Requirements

Master or PhD degree in (bio)statistics

Competency in applying statistical thinking to solve problems in clinical research

Competency in communicating statistics in English to non-statisticians and appreciating the perspectives of non-statisticians

Ability to work effectively in a multi-disciplinary team environment

Strong methodological background in applied statistics and modeling with publication track record (preferred)

Skills
DBS Bank Ltd.
15Jan
Snr Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)
DBS Bank Ltd.   via JobsCentral



Roles & Responsibilities

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage.    Read more

Our financial solutions are not only the best in the business – they were made just right for you.

About this role

The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.

Responsibilities

Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc.

Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region

Help the team with methodology and guidance in the areas of experiment design and data analysis.

Requirements

Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.

6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results

At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.

Good understanding of technology tools especially those related to analytics, data & statistical modelling.

Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.

Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..

Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful.

Ability to communicate complex analysis/models across a diverse team.

Good written and oral communication skills

Skills
ScienTec Personnel
15Jan
Business Analyst - Market Research (Up To 3.8K/Trends/Insight)
ScienTec Personnel   via JobsCentral



Business Analyst - Market Research (Up to 3.8K/Trends/Insight)

Working Location: Boon Lay

Working Hour: Monday to Friday 9am to 5.30pm

Responsibilities:

Responsible for the reviewing, analyzing and consolidating of information from secondary sources, past plans from sales and interviews with our internal stakeholders

Prepare and analyze business performance data such as market and category / sub-segment growth rates

Prepare and analyze the market shares of Takasago and competitors of    Read more

targeted categories

Prepare and analyze our R&D activities data

Identify trends, provide observations, insights and recommendations to business questions and help business decisions

Deliver relevant information on market potential which can be broken down in terms of sub-segment and correspond to their market growth

Create reports and data visualization

Ensure accuracy and on-time delivery of reports

New account setting and new item setting in system

Job Requirements

Min Diploma in Mathematics, Statistics, Economics, Data Analytics or Big Data Analytics

Min 1 years experience in data analysis and good in numbers

Competent in using Microsoft Excel and charting

Knowledge of using any statistical software like R software or Power BI or Tableau Software.

Knowledge of in any software like SAS or H2O or Knime.

Good communication and presentation skill

If you are excited by the above opportunity and challenges and enjoy making things happen, do apply now!

OR

Email your resume to:

[Click Here to Email Your Resume]

Wyman Low

Recruitment Consultant

Low Yong Wei (Wyman) - R1550983

ScienTec Consulting Pte Ltd - 11C5781

Skills
TECH MAHINDRA (SINGAPORE) PTE. LIMITED
15Jan
Software Consultant
TECH MAHINDRA (SINGAPORE) PTE. LIMITED   via JobsCentral



Roles & Responsibilities

Responsibilities:

End-to-end Incident resolution and request management.

Manage vendor support team to deliver the services per customer SLA s.

Responsible to support process improvements, identifying process/system bottlenecks and opportunities for improvements

Responsible to improve the stability and performance of the BI systems/platforms.

Define/own process to transition new applications into support from development

Prioritize workload, provide timely and accurate resolutions.

Perform root cause analysis of issues

Help establish meetings with the appropriate subject matter experts    Read more

to review and understand specifics on requirements.

Help manage work allocation of various project teams within Enterprise Data Services

Regular project tracking and status reporting to management

Manage vendor activates, invoices and contracts

Requirements

QUALIFICATIONS:

Required:

8+ years experience in information technology/computer science background

2+ years experience in a technical operations role (ITIL)

Working knowledge of Informatica 8.5, 9.6,10.2, Oracle Exadata, Cognos, Tableau and SAS.

Working knowledge on Bigdata environment is added advantage

Good Knowledge of Data Warehouse architecture, migration projects and Data Integration concepts.

Proficient in Microsoft Office products, MS Project, and Visio

Managing, organizing, and prioritizing multiple tasks and responsibilities.

Excellent communication skills, both verbal and written

Comfortable working with all project stakeholders (business users, architects, project managers, business analysts, developers, test analysts, production support team)

Telecom industry with CRM, Billing experience is strongly desired.

Amdocs/Kennan product knowledge is added advantage

Skills
DBS Bank Ltd.
15Jan
Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)
DBS Bank Ltd.   via JobsCentral



Roles & Responsibilities

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage.    Read more

Our financial solutions are not only the best in the business – they were made just right for you.

About this role

The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.

Responsibilities

Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc.

Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region

Help the team with methodology and guidance in the areas of experiment design and data analysis.

Requirements

Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.

6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results

At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.

Good understanding of technology tools especially those related to analytics, data & statistical modelling.

Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.

Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..

Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful.

Ability to communicate complex analysis/models across a diverse team.

Good written and oral communication skills

Skills
DBS Bank Ltd.
15Jan
Avp, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)
DBS Bank Ltd.   via JobsCentral



Roles & Responsibilities

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage.    Read more

Our financial solutions are not only the best in the business – they were made just right for you.

About this role

The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.

Responsibilities

Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc.

Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region

Help the team with methodology and guidance in the areas of experiment design and data analysis.

Requirements

Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.

6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results

At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.

Good understanding of technology tools especially those related to analytics, data & statistical modelling.

Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.

Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..

Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful.

Ability to communicate complex analysis/models across a diverse team.

Good written and oral communication skills

Skills
United Overseas Bank Ltd (UOB)
15Jan
Vice President, Business Management, Group Transaction Banking (Business Planning & Analytics)
United Overseas Bank Ltd (UOB)   via JobsCentral



About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over    Read more

this time, we have been guided by our values — Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

About the Department

The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients.

Job Responsibilities

As a member in the Business Management team within Group Transaction Banking, your main responsibilities are as follows:

Develop reports/ management dashboards

Translate data into insights to be able to answer business questions

Analyze trends and provide actionable insights to internal stakeholders in optimizing business results

Data transformation and integration from diverse data sources

Build and maintain customer databases to be used for analytics, campaign tracking, financial modelling, and management reports

Coordinate with various internal and external business stakeholders across multiple key business sectors to ensure smooth data-to-insights communication

Assist with development and implementation of data related initiatives

Job Requirements

Bachelor Degree or above in Statistics, Computer Science, Quantitative Marketing, Economics, or Similar

At least 5 years’ prior MI experience, proficient in developing and maintaining dashboard & MI reports

Experience in data analytics/science experience, proficient in statistical tools such as SAS/Python/R/Excel/Hadoop and other relevant tools to manipulate and analyze data would be advantageous

Proficient in QlikSense or Power BI

Meticulous, inquisitive and proactive

Independent worker with good communication and interpersonal skills to effectively interact with colleagues and external parties of all levels

Be a part of UOB Family

Apply now and make a difference.

Skills
United Overseas Bank Ltd (UOB)
15Jan
Avp / Vp, Business Analytics (12-Month Contract), Sector Solution Group, Group Wholesale Bankin
United Overseas Bank Ltd (UOB)   via JobsCentral



About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.

Our history spans more than 80 years. Over    Read more

this time, we have been guided by our values — Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

About the Department

The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients.

Job Responsibilities

Data transformation and integration from diverse data sources

Translate data into insights to be able to answer business questions

Build predictive models to extrapolate missing information of data and exploit various data mining opportunity

Coordinate with various internal and external business stakeholders across multiple key business sectors to ensure smooth data-to-insights communication

Job Requirements

At least 3-7 years’ prior data analytics/science experience, proficient in statistical tools such as SAS/Python/R/Excel. Financial industry knowledge is a plus

Desktop/on-line research capacity and experience

Strong sense of responsibility and teamwork

Meticulous, inquisitive, proactive and able to initiate and bring along extra values beyond BAU

Independent worker with good communication and interpersonal skills to effectively interact with colleagues and external parties of all levels

Be a part of UOB Family

Apply now and make a difference.

Skills
DOVRE GROUP (SINGAPORE) PTE. LTD.
15Jan
Commissioning Engineer Instrument Sas
DOVRE GROUP (SINGAPORE) PTE. LTD.   via JobsCentral



Roles & Responsibilities

The position is reporting to Commissioning Lead Instrument, Hull and LQ. The work will be undertaken by daily follow up of commissioning activities and responsible for commissioning activities within the organization.

Responsibilities:

Be Company’s commissioning engineer within Instrument discipline with responsibility:

High focus on HSE, ethics and values

Ensure Quality Assurance within area of responsibility

Contribute to a constructive and professional working relationship between Contractor's and Company's Team members, through close    Read more

dialogue

Development and implementation of Commissioning procedures

Follow up Contractor in their planning and execution of commissioning scope

Participate in planning of commissioning activities, follow up on required prerequisites and temporaries

Participate in Hazop/Hazid, SJA for commissioning activities

Participate in FAT, inspection of equipment

Execute, coordinate and follow up Commissioning responsibility of SAS within the Commissioning Instrument discipline

Handling of queries in all phases of the project

Participate in handover activities from construction to commissioning

Participate in handover activities from commissioning to Operation/Technical Integrity

Responsible for documentation of all activity in ProCoSys, updating on a continuously basis

Document all activity and correspondence in Company's formal project management systems.

Requirements

Qualifications:

Engineering degree within Instrument SAS.

Knowledge of relevant Norsok and IEC standards.

Some knowledge of the DNVGL rules and regulations for floating production facilities is preferable.

Fluent skills in writing and speaking the English language is required.

Experience:

Minimum 10 years working experience from detail engineering in offshore development projects.

Knowledge of general engineering tools.

Previous work experience on FPSO project at Yard is preferable.

Miscellaneous qualities:

Good cultural understanding and adaption.

Ability to work in team.

Good written and verbal communication.

Structured work method art task management, reporting and documentation.

Good knowledge in IT system ProCoSys

Skills
Government Technology Agency
15Jan
Data Scientist (Human Capital)
Government Technology Agency   via Careers@Gov


The People Organization Group (POG) is the GovTech division that oversees and promotes our human resources. It is in charge of fostering the holistic development and enrichment of our employees, both individually and as a team.

We are seeking an analytics professional to join us as a Data Scientist to develop our advanced HR analytics strategies. You will be given opportunities to apply people analytics using advanced    Read more

analytics technologies, subsequently making critical decisions to directly impact initiatives and solutions and meet business needs. Success in the role will be demonstrated by your ability to thrive in a fast-paced and dynamic environment.

What to Expect:

Consult with HR and organizational partners to identify business problems

Extract and interpret large data sets from HR Centers of Excellence using complex data analysis

Design holistic analytical reports, articulating and transforming them into actionable people insights for key HR stakeholders

Level-up analytical capabilities for POG by enhancing intellectual programming analytics through integrating current and new HR systems and technologies

Participate in data science studies and projects to discover new analytics technologies

How to Succeed:

At least 2 years of professional experience in data science, business analytics or a related field

In-depth knowledge of basic data science concepts (e.g. machine-learning algorithms, natural language processing, business application of statistics)

Technical expertise in data analysis technologies (e.g. Tableau, Python, R, SAS) and database development tools (e.g. SQL, Hadoop)

Excellent communication (written and verbal) and stakeholder-management skills

Self-starter and passionate in data analysis

Skills