Total 12,695 Others data entry job vacancies in Malaysia

About us

Mantel Group is an Australian-owned technology consulting business with capabilities across Cloud, Digital, Data & Security. Since our inception in November 2017, we have experienced remarkable growth across Australia & New Zealand and are honoured to be recognised as a Great Place to Work for 4 years in a row!

We hire smart and talented people and get out of their way. As a principle-based organisation we have a flat structure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust you to get the job done!

Mantel Group’s dedicated cloud capability means you are able to work with a team of passionate people and all the latest tech in your cloud of choice whether you want to help businesses reach their full potential with Microsoft products, be part of the full cloud transformation on AWS or an expert in Google cloud - there’s an opportunity here for you.

Click "apply" to share your details if you believe you are the right fit.



Responsibilities:

• Provide consulting services alongside more senior team members and leverage your hands-on technical experience using some of the latest cloud technologies and methods
• Design, develop, build and operate sophisticated and highly automated secure AWS and Hybrid infrastructure that adheres with Industry compliance standards
• Willingness to continually upskill; including learning new technologies and obtaining new certifications
• Use software development and Software Configuration Management (SCM), DevOps and Continuous Integration methods to build, configure and manage the infrastructure
• Perform troubleshooting, analysis and resolve issues as needed to achieve project outcomes
• Liaise with the project team, clients, vendors and stakeholders using multiple communication channels to manage the delivery of the project


Skills required:

• Good written and verbal communication skills
• Specialist knowledge of several industries or segments, coupled with strong analytical skills.
• Ability to identify trends within their practice relating to products and services and communicate them effectively to the wider practice.
• Bring a positive can-do attitude to the team
• Demonstrated ability to adhere to reporting deadlines

Job Title: Data Analyst

Job Description: As a Data Analyst, you will play a crucial role in leveraging data to drive business insights and decision-making. Your primary responsibilities will revolve around designing and analysing data models, collaborating with stakeholders, and developing scalable data solutions.

Key Responsibilities:

Design and Analysis:

- Collaborate with stakeholders to understand business requirements and translate them into data models and analytical solutions.

- Conduct exploratory data analysis to identify trends, patterns, and insights crucial for decision-making.

- Work closely with stakeholders to understand data needs and deliver actionable insights.

- Lead the design and architecture of the data warehouse solution, including data modeling, schema design, and indexing strategies.

Development:

- Define data requirements and design scalable data storage solutions in collaboration with cross-functional teams.

- Continuously evaluate and recommend improvements to the data warehouse infrastructure to enhance performance, scalability, and reliability.

- Develop and maintain dashboards and reports to visualize key metrics and performance indicators.

- Design and implement scalable data pipelines for ETL (Extract, Transform, Load) processes from various sources into the data warehouse.

- Optimize data pipeline performance and reliability to ensure timely and accurate data processing.

- Implement data quality checks and validation processes to uphold data integrity and consistency.

Qualifications:

- Proven experience in data analysis and data engineering roles, with a focus on designing and implementing data warehouse solutions.

- Strong proficiency in SQL for data manipulation and querying.

- Familiarity with data visualization tools such as Tableau or Power BI.

- Hands-on experience with ETL tools and frameworks.

- Proficiency in programming languages like Python, Java, or Scala.

- Solid understanding of data modeling concepts and techniques, including dimensional modeling and star schema.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

- Minimum of 3 years of experience in data analyst-related roles.

This role offers an exciting opportunity to work at the intersection of data and business, driving meaningful insights and impacting strategic decision-making processes. If you're passionate about leveraging data to solve complex problems and thrive in a collaborative environment, we'd love to hear from you.

Data Analyst







Organisation/Entity:  Transport For NSW







Job category:  Engineering







Job location:  Macquarie Park, NSW, AU, 2113







Job reference number:  93154







Employment type:  Fixed Term Full-Time







Salary range:  $113121.0-$126695.0











Youre open to a change of direction and a new challenge.   You have the opportunity to gain a wealth of expertise and a diverse range of skills, providing insight and knowledge without losing




... Click here to view more detail / apply for Data Analyst

To be a subject matter expert. Data Engineers will develop and deliver training for informaticians. This will include technical training on BI software and languages as well as requirements gathering, specification design and implementation. They may supervise other informatics colleagues, managing their workload and supporting their development. Undertake complex technical work liaising with system owners and specialists in designing the data warehouse to ensure that it meets the needs of all users. Ensure that thorough documentation and change control processes are in place and are accessible and maintained. Proactively manage the integrity and quality of data within the data warehouse: investigating, raising and resolving issues with the system owners where necessary To work with informatics colleagues to develop and implement new information reports, flows and systems that meet the operational and strategic needs of the Trust and their stakeholders. Undertake the specification, design and implementation of technical reports using systems such as, but not limited to, SQL Server, Azure Data Factory/Synapse Analytics/Data Bricks and PowerBI.

At AXA we're transforming the customer “insurance claim” journey by deploying machine learning models so that we get faster and improved decision making at key interaction points. This role is essential to the Advanced Claims Analytics programme that is driving this change. Specifically, this programme is designed to embed a data driven, intelligence led decision making into the culture and way of working in Claims. It will deliver significant indemnity savings, efficiency benefits and improved customer outcomes using machine learning.
As a Data Scientist within the Claims Analytics team, you'll be building end-to-end data science solutions that directly benefit the customers claims journey. This is an exciting time to join as you will leverage our cloud-based data lake, design our advanced machine learning and influence the business in respect to its understanding and use of data.
At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least 40% of your week away from home, either at one of our office locations, visiting clients or attending industry events.
What you'll be doing:

Scope out the business problem and proving value via Exploratory Data Analysis to demonstrate the value of an ML approach.
Create and productionise machine learning models using python, ML libraries, and Databricks.
Process large scale data from our data lakehouse.
Apply MLOps, AutoML, model explainability best practices.
Present the results to stakeholders in an intuitive way and assisting the long-term tracking of the model performance to demonstrate value of the product.

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.

Primary Tasks 

• Data collection as well as the merging of datasets from various excel files or Google Sheets
• Ensuring the integrity of the data/information in MS Excel files by making sure there are no errors or mistakes in them

Other tasks for applicants who like more complex work:

• Conducting business research on selected topics of interests which can be related to any other field like economics, finance, marketing, social media, human resource, psychology, law and etc. depending on your major or specialization
• Analysing the data for your research and determining how the findings can affect any aspects of our operations (Ex. Marketing, Sales, Human Resource Management, etc)
• Helping us come up with design concepts or prototype designs for our website and mobile App using Adobe XD OR marketing or social media posts and banners with tools like Canva if you like to be creative
• Working with employees from other departments such as Finance, Graphics design, IT, Psychology, etc to work on specific tasks if needed
• Clearly and openly, communicating problems and solutions via Skype with the Managing Director

Your new company
My client is a group business, currently recruiting a Data Analyst as a result of continued growth.
Your new role
This is an exciting, newly created role within the organisation. As a Data Analyst, you will play a crucial role in supporting the Finance Team by ensuring the accuracy of figures and assisting with reporting on a weekly and monthly basis.
Working hours: 9:30-17:00 Monday to Friday.

You will:

• Handle large volumes of data, format, process, and combine to create meaningful reports.
• Analyse and categorise data for weekly and monthly reporting.
• Ensure costs are assigned correctly to products and outputs.
• Maintain reports on supplier volumes and costs.
• Monitor machinery efficiency.
• Process and reconcile information as required
• Develop and enhance dashboards for management insights.
• Review reports from other departments and provide advice.
• Utilise PowerBI, Excel PowerPivot, and Access for reporting.

What you'll need to succeed

• Strong analytical and organisational skills.
• An excellent understanding of of Excel, and experience of working with PowerBI and Access.
• Keen attention to detail.

What you'll get in return

• Flexibility for the right candidate
• Salary depending on experience and skillset.
• Salary sacrifice pension scheme
• 28 days holiday, including bank holidays.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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What this job involves

JLL Data PMO team’s mission is to enable our team and clients to make data driven decisions based on the business insights from various sources of data. The Data Analyst is a key part of this mission and will play a crucial role in Regional Data Program initiatives. The role requires a competency in Smartsheet which is the foundational tool for data gathering and reports. In addition the role is expected to understand the overall business process and have analytical skills to visualize the insights required by stakeholders.

Responsibilities include:

• Working with business line owners to develop requirements, define success metrics, manage and execute analytical projects, and evaluate results.
• Acting as POC for Smartsheet and relevant reports and dashboards in google platform (Plx)
• Developing Smartsheet forms, reports and dashboard from information gathered from a variety of internal and external sources.
• Translating stakeholders requirements and questions and providing solutions through reports and dashboards.
• Driving Data Quality and Governance in multiple sources
• Understanding the overall business process and developing process maps for data programs
• Maintenance of key reports and dashboard as part of BaU.
• Continuous improvement on data gathering, analytics and the overall process.
• Produce dashboards which are fit for purpose and provide insight and narrative to the end-users based on data and to support reporting to management groups.
• Training end-users on new tools, reports and dashboards.
• Troubleshooting the reporting database environment and reports.

Are you ready to dive into the world of data-driven decision-making? Do you have a passion for turning numbers into actionable insights? Look no further – we have the perfect opportunity for you!

At DataPure Technologies, we're on a mission to revolutionize how businesses harness the power of data. As a Research Analyst, you'll play a crucial role in this journey by gathering, analyzing, and interpreting data to drive strategic decision-making processes.

Salary: £25,449 Per AnnumHours: 40 Hours Per WeekType of Employment: Full Time Contract Type: Permanent Location: Atlas Business Park, Atlas House, Simonsway, Wythenshawe, Manchester, M22 5PR

We are looking for a Data Analyst to join our Mitie team to review, quality check and load data into CAFM systems, assisting with data queries, as well as ensure all automatic and manual data is accurate and up to date in all systems.

You'' liase with operational/account teams, managing data review projects and ensuring all contract data is kept up to date. You'll also be responsible for ensuring all. You will be working closely with the asset care and application support team.

You should be able to demonstrate self-reliance and the ability to manage your own time and prioritise tasks. You'll be organised, with strong attention to detail. Experience in FM and knowledge of CAFM System is desirable. You'll need to have previous experience as a Data Analyst or as a Business Data Analyst and have a strong knowledge/ experience with Microsoft packages.

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Pls send in your updated resume stating past experiences, reasons for leaving, current and expected salaries to resume@goldtechrs.com

Join us as a Data Engineer

• You’ll be supporting colleagues to build effortless, digital first customer experiences, simplifying the bank by developing innovative data driven solutions through data pipelines, modelling and ETL design, keeping our customers, and the bank’s data safe and secure

• We’ll look to you to actively participate in the data engineering community to deliver opportunities to support the bank’s strategic direction

• Hone your data engineering skills and advance your career in this exciting, fast paced role

What you'll do:

As a Data Engineer, you’ll be supporting colleagues to drive customer value by understanding business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions and automating data engineering pipelines through the removal of manual stages.

This is a collaborative role where you’ll be carrying out data engineering tasks to build, maintain, test and optimise scalable data architecture along with data extractions. You'll transform and upload data into platforms to make it usable for data analysts and data scientists.

Additionally, you’ll be:

• Developing comprehensive knowledge of the bank’s data structures and metrics, advocating for changes

• Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues·

• Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions

• Building in a software engineering and data operations mindset ensuring greater product development maturity while building robust, sustainable and fault tolerant data products

• Sourcing new data using the most appropriate tooling for the situation and integrating it into the overall solution to deliver for our customers

• Embedding data quality into data solutions by testing against relevant measures for business requirements, user stories and data quality measures·

The skills you'll need:

To be successful in this role, you’ll need to be Quantexa Data Engineering certified and have a good understanding of data usage and dependencies with wider teams and the end customer. You’ll also need experience of extracting value and features from large scale data.

We’ll also expect you to have experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis and data warehousing and data modelling capabilities

In addition, you’ll demonstrate:

• Experience using languages alongside knowledge of data and software engineering fundamentals programming

• A foundational knowledge of pipeline design and builds

• Knowledge of modern code development practices

• Good communication skills with the ability to proactively engage with a wide range of stakeholders

Responsibilities

• Demonstrate understanding of the business to identify, analyse and interpret patterns or trends in data sets that help in improving business performance.
• Import data from various external and internal sources to bring meaningful insights into the business.
• Build and maintain tableau dashboard for departments and management to track key indicators.
• To write R/Python scrips to transform existing data to obtain approximation of required data.
• Identify data sources; collect data through manual or automated means; source missing data; clean, transform and organize data into usable format/structure.
• Support in data flow and process flow documentation and identify gaps.

Requirements

• A bachelor's degree in a related field such as mathematics, statistics, computer science, economics, or information management is required.
• Minimum 2 years of relevant work experience
• Strong analytical skills are essential for interpreting complex data sets and identifying trends, patterns, and insights.
• Proficiency in programming languages commonly used in data analysis such as Python, R, SQL, or others.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Understanding of mathematical concepts such as probability, calculus, algebra, and statistics is crucial for analysing data effectively.
• Understanding of business processes and objectives to provide data-driven recommendations and insights that align with organizational goals.
• Familiarity with database systems and data querying languages (MS SQL).

Interested candidates who wish to apply for the advertised position, please click APPLY to submit your resume.

EA License: 13C6305

Reg. No.: R22108000

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use, or disclose your personal information for purpose in connection with the services provided by us.

Who we are:
We are a leading operator in Australia and New Zealands fast-growing Out Of Home advertising industry and our purpose is to make public spaces better! As an ASX listed company with 800 team members, we create deep engagement between people and brands through Unmissable location-based media solutions that inform, entertain, and inspire. Our network is unparalleled, with a diverse portfolio of 37,000 classic and digital signs across roadside, retail, airport and place-based media offering in CBD office towers and universities.
Our culture:
  Discover an organisation united by passion, respect, and imagination where you'll find rewarding opportunities, diverse experiences and an amazing culture. With 900 professionals dispersed across Australia and New Zealand, were proud collaborators. You'll have the opportunity to work with talented and dedicated colleagues, while developing and expanding your career. In a community as diverse as ours, everyone here has ... Click here to view more detail / apply for Data Analyst

Job Description
1. Creating complex, enterprise-transforming applications on diverse, high-energy teams

2. Working with the latest tools and techniques

3. Hands-on coding, usually in a pair programming environment

4. Working in highly collaborative teams and building quality code

5. The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.

6. The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models

Essential Skills

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's/master’s degree with 6 years of experience

· . Hand-on Development experience with Spark, Scala Spark and Distributed computing.

· . Development and implementation experience of applications for 4-6 years.

· . 4 to 6 years' experience designing and developing in Python.

· . 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· . 3 to 5 years' experience with Unix shell scripting

· . 3 to 5 years' experience with SQL

· . 2 to 3 years' experience with Spark programming.

· . Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage