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Jobs that require tableau skill

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
ENCORA TECHNOLOGIES PTE. LTD.
15Jan
Software Engineer
ENCORA TECHNOLOGIES PTE. LTD.   via JobsCentral



Roles & Responsibilities

3-6 months renewable contract through Encora

Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.

Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Kinesis, Redshift/Spectrum and Athena

Supporting existing ETL/ELT infrastructure    Read more

built on Pentaho, Python, EMR

Continual research of the latest big data, elasticsearch technologies to provide new capabilities and increase efficiency

Working closely with team members to drive real-time model implementations for monitoring and alerting of systems.

Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning

Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Requirements

+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets

Demonstrated strength in data modeling, ETL development, and data warehousing

Experience in programming in Python

Experience using big data technologies (think Hadoop, Hive, Hbase, Spark etc.)

Experience using business intelligence reporting tools (Tableau, Cognos etc.)

Knowledge of data management fundamentals and data storage principles

Knowledge of distributed systems as it pertains to data storage and computing

Skills
Marina Bay Sands Pte Ltd
15Jan
Manager, Hotel Analytics
Marina Bay Sands Pte Ltd   via JobsCentral


JOB SCOPE

Partner with other Hotel Analysts and the Operational Analysis team to provide information and insights to make timely decisions, benchmark, and improve service, efficiency effectiveness, and the work environment.

Work directly with senior operational leaders to develop relevant key metrics, scorecards and process and so as to drive initiatives that increase and optimize business performance across the various units in Hotel, Food and Beverage, and    Read more

related operations

Serve as mentor and coach to junior resources

Apply analytical skills to explore complex datasets to aid in knowledge discovery and predictive modeling activities

Required to work on projects dealing with financial and business assessments of potential strategic initiatives, process improvements, and other ad hoc projects.

Establish close partnership with all stakeholders, to intimately understand their operations and needs through close observation, and assess how to develop relevant reports/analysis.

Partner with stakeholders to increase their performance as it relates to strengthening brand, improving financial performance, driving staff engagement, and providing outstanding service.

Develop and maintain automated BI dashboards and demand forecasting models for different business units.

Maintain knowledge of emerging trends related to analytics, statistical computing/machine learning, business intelligence and data visualization.

JOB REQUIREMENTS

Bachelors or Master’s degree in Analytics or Engineering with depth of knowledge in data-intensive roles

Experience in senior analyst / manager position or the equivalent.

Proven experience in business planning, analytics, or supply chain management and across multiple lines of business and locations.

Preferably possess relevant certification or experience in process improvement, Lean or Six Sigma.

Preferably comfortable with Statistics and Probability models, working experience in big data analysis.

Strong written and verbal communication and interpersonal skills.

Strong working knowledge with MS Excel, Excel VBA and PowerPoint, experience in any programming language, simulation software, and data analytics software is highly desired.

Proficiency in R or Python, able to develop end-to-end dashboards from backend database setup using SQL to frontend UI rending using Spotfire/Tableau.

Experience with analytical frameworks and languages such as SPARK, Tensorflow and Keras.

Familiar with mainstream statistical modelling and machine learning concepts and techniques, experience in deploying forecasting models in production preferred.

Able to work in a fast-paced environment.

Must be able to manage multiple priorities in an efficient/timely manner.

Skills
Hearti
15Jan
Data Scientist
Hearti   via Tech In Asia

Hearti seeks a talented individual to join the team as a Senior Data Scientist as one of the pioneering members of our data science R&D, consulting, and product development team. Hearti provides benefits such as flexible working locations, ICO token bonuses, and the chance to serve clients in neighbouring countries such as Malaysia, Indonesia, Thailand.  At Hearti, we want to build our data science competencies and grow our IP    Read more

in AI techniques for the Insurance, Banking, and HR domains. We’re big on open-source and innovative solutions that challenge the traditional approaches; but we’re also focused on practical and robust data science work and products that meet the needs of our enterprise customers in the different domains.  The Data Scientist will work with clients to bring across the value of the data science features on the platform or for the engagement. The individual will create analytical models as required for our different lines of businesses, and then work with the data engineering team to convert the models into production. Working with external partners in specific niche areas of data science will also be necessary at times.  Job Description • R&D (10%) o To explore new technologies with an emphasis on AI techniques and develop proof-of-concepts to demonstrate viability within the Insurance, Banking, and HR domains • Consulting (45%) o To engage with clients and elucidate the value of data science to the business o To work with clients to understand their business, data, pain-points, and requirements o To perform machine learning and statistical analysis of client data and articulate actionable insights in an engaging and concise manner to non-technical audiences • Product Building (45%) o To work with data engineering to build, evaluate, deploy and monitor models within a production data pipeline o To work closely with data engineers, product managers, project managers, and platform developers in the implementation and deployment of products containing AI capabilities o To work with partners in academia and industry to understand and integrate additional AI capabilities onto the platform Requirements • Bachelors/Masters/PhD in Computer Science, Computer Engineering, Information Systems, or similar courses that are highly quantitative in nature • 4 years of experience in practical application of machine learning and participation in end-to-end data science projects with clients • Ability to work with data warehouses and build data pipelines in collaboration with data engineering • Expertise in fraud detection, natural language processing, image analytics, or customer analytics • Familiarity with end to end tools for analytics across data integration, modelling, and visualization • Strong problem-solving skills, curiosity, and passion for data science • Strong co-ordination and time management skills to handle complex projects • Willing and enthusiastic to learn on-the-job and perform continuous learning Good to Have Prior knowledge/experience in any of the software mentioned below for each category is preferred but not strictly essential. You must be able to pick up new concepts and software quickly. • OS: Linux (any flavour) • Source Code Management: Git, SVN • Databases: PostgreSQL, MySQL, MS-SQL • No-SQL Databases: Neo4J, OrientDB, MongoDB, Cassandra, CouchDB, HBase, Redis, Memcached, Riak, • Programming Languages: Java, Python, C#, Javascript, PHP, Perl • Hadoop Distributions: MapR, Cloudera, Hortonworks, Pivotal. Or any of the open-source tools within a typical Hadoop stack. • Statistical/Machine Learning: R, Python (scikit-learn, nltk, theano, tensorflow, keras, etc.), Spark, RapidMiner, KNIME, SPSS Modeler, Orange, MATLAB, Mahout, MADlib, MLLib • Visualization & Graph analysis: Tableau, D3 (or any other javascript visualization framework), Qliksense, Spotfire, Gephi, NodeXL • Geospatial Analysis: QGIS, PostGIS, GRASS, WhiteBox, Manifold • Simulation: IBM Websphere Advanced Business Modeler, JaamSim, Simio, Arena • Optimization: IBM ILOG CPLEX, AMPL, SciPy, MATLAB

Skills
RSM RISK ADVISORY PTE. LTD.
15Jan
Risk Advisory, Consultant
RSM RISK ADVISORY PTE. LTD.   via JobsCentral



Roles & Responsibilities

• Interested and passionate about being a business advisor to growing businesses.Passionate about transforming analytics into tools which help businesses perform better

Requirements

Basic qualification : Bachelor of Computer Science

• Candidate should have a keen interest in turning data and insights into tangible value

• Candidate should be willing to commit to transformational projects which drive digitalisation

• Candidate should be willing to support building methodology for    Read more

project automation and application of analytics capabilities

• Candidate should be comfortable with integrating large data volumes to predict, influence and respond to project demands and objectives

• Candidate should be familiar with the application of analytics tools (i.e. Python, Tableau)

• Candidate should be familiarwith an understanding of basic AI concepts

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
SEAMEO Regional Language Centre
15Jan
It Executive (Application Developer & Business Analyst)
SEAMEO Regional Language Centre   via JobsCentral



Roles & Responsibilities

Works closely with business users to elicit high-level requirements and capture business needs

Determines operational objectives by studying business functions, gathering information, evaluating output requirements and formats

Clearly articulates and documents business requirements

Designs new computer programs by analyzing requirements, constructing workflow charts and diagrams, studying system capabilities and writing specifications

Assesses the risk of various IT solutions and prioritizes competing business demands

Coordinates project delivery by participating in design reviews    Read more

and walk-throughs to communicate systems designs and validate proposed solutions

Engage system vendors to incorporate usability and user interface needs when designing systems

Attend to IT requests and provide professional support to meet end-user satisfaction

Recommends controls by identifying problems and devising appropriate solutions, documents and records improved procedures

Defines project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget

Monitors project progress by tracking activity, resolving problems, publishing progress reports and recommending action plans

Maintains user confidence and protects operations by keeping information confidential

Prepares technical reports by collecting, analyzing and summarizing information and trends

Manage contracts and relationships with and monitors vendor performance against SLAs

Constantly evaluates our BI and data efforts and drives improvement where needed

Manage the data model inside the BI platform

Training/coaching users on our BI platform

To support CIO in IT projects and development

Performs duties assigned by CIO

Requirements

Degree in Business, Computer Science, IT or its related discipline

At least 4-5 years working experience in application support and project management of IT business applications.

Good understanding of SDLC and processes

Software Design, Software Documentation, Software Development Process, Software Requirements, Analyzing Information, Teamwork, Software Maintenance, Written Communication, Promoting Process Improvement

Good knowledge of Excel OR one self-service BI tool (e.g. Looker, Tableau, QlikSense, PowerBI, etc.)

Some knowledge of SQL

Preferably have experience carrying out ICT contract, vendor and project management

Ability to multitask, work both independently and as a team

Skills
Government Technology Agency
15Jan
Data Scientist (Human Capital)
Government Technology Agency   via JobsCentral



Roles & ResponsibilitiesThe 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 technologiesHow 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
Ministry of Social and Family Development
14Jan
Senior Executive/Executive, Service Excellence (CIRD)
Ministry of Social and Family Development   via Careers@Gov


Description of Division/Branch:
The Customer and International Relations Division promotes positive engagement with our customers and strengthens ties with countries and international organisations of interests to Singapore.

Brief description of Job Scope:
You will be part of a team that works on Ministry-wide initiatives to enhance service delivery, raise productivity, as well as run programmes aimed at raising the ministry’s service standards.

Responsibilities:

Handle QSM and other feedback and walk-ins

Work with various divisions    Read more

and external agencies to resolve cases in a timely matter

Compile monthly management reports of feedback received

Manage the service awards, such as collating nominations, evaluation, and purchasing vouchers

Handle procurement related matters such as raising Purchase Orders, clearing tax e-invoices and assets management for the division

Support ministry-wide service improvement programmes such as the WISE and Speak WISELY and collate the relevant reports

Conduct talks/workshops for internal staff

Execute any ad-hoc duties needed

Competencies required:
Functional/Technical Competencies

At least 2 -3 years of experience in service delivery or QSM-related work

Strong written and verbal communication skills

Preferably strong in data visualization, Microsoft Excel and Tableau.

Generic Competencies

Able to engage internal and external stakeholders

Able to work in a team

Independent and self-motivated

Skills