Total 15,236 data entry job vacancies in Malaysia

Major Duties and Responsibilities (MDRs):

Create and communicate partner engagement data for planning and decision making. Use data analytics and visualization to inform how NCTC are using resources to invest in partnerships and outreach activities across the Intelligence Community and other governmental and non-governmental partners.

Create qualitative and quantitative metrics to visualize the range of and measure the impact of partnership and outreach activities.

Build and manage dashboards and analytics: Manage databases and systems, and build new data repositories as necessary.

Create and Present Briefings: Oversee the development of analytic briefings internally and externally; manage the process of collecting, analyzing, and disseminating information.

Conceive, prepare and communication an extensive range of strategic, high complex graphics, computational models/tools, or written/oral assessments on significant issues for the most senior internal and external customers (e.g. policymakers, IC components, Agency executives);

Other duties as assigned.

Role Title: Data Engineer
Duration: 3 months
Location: Telford, hybrid
Rate: up to £510.30 p/d Umbrella inside IR35
Clearance required: SC is preferred but not essential

Role purpose / summary

Our client is seeking an experienced data engineer to join the data team, contributing to the development of data pipelines for a bespoke custom trade communication system for public organisations. Leveraging Azure products (Azure Data Factory and Azure Databricks), you'll play a vital role in shaping the data stream infrastructure & pipelines.

Key Skills/ requirements

• Experience in Azure data engineering or data science pipelines, demonstrating proficiency in building and maintaining data pipelines within the Azure ecosystem.
• Proficiency in SQL and Python coding, with the ability to efficiently manipulate and analyse large datasets.
• Comfortable working with ambiguous requirements and prototyping solutions, demonstrating adaptability and problem-solving skills.
• Familiarity with Agile/Scrum methodologies, with the ability to work collaboratively in a fast-paced, iterative environment.
• Excellent communication skills to effectively collaborate with clients' data teams, gather requirements, and provide updates on project progress.

Nice to have:

• Microsoft Azure Data Engineer or Azure Data Scientist certification.
• Experience of Jira and Confluence

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

DICARI ADMIN UNTUK MELAKUKAN KEBUTUHAN SURAT-SURAT PRODUKSI DAN REKAPAN DATA PERUSAHAAN

UNTUK INFORMASI MENGENAI LOWONGAN PEKERJAAN SILAHKAN HUBUNGI :

SULIS : 0816 1611 631 (WHATSAPP)

Job Summary:

We are seeking a skilled data scientist specializing in Marketing Analytics to join our Global Business Intelligence team. This role will leverage data-driven insights to optimize marketing strategies, enhance customer engagement, and drive business growth. This role will involve drawing insights from various data sources, implementing projects based on these insights, and collaborating with multiple stakeholders to craft effective go-to-market strategies.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies.
• Utilize strong analytical skills to interpret complex data sets and generate actionable insights.
• Monitor and evaluate the effectiveness of marketing campaigns, providing actionable recommendations for improvement.
• Partner closely with the marketing team to design statistically sound A/B and multivariate tests, including rigorous hypotheses, sampling, and metrics
• Implement/Incorporate AI/ML models to improve marketing performance and efficiency.
• Draw insights from dashboards and metrics to inform business decisions.
• Translate data findings into strategic recommendations for marketing initiatives.
• Ensure alignment and effective communication among all stakeholders.
• Proactively identify gaps in business metrics and user behavior trends.
• Set up necessary infrastructure to alert business leaders about emerging trends and patterns.

Qualifications:

• Bachelor’s degree in Marketing, Business, Data Science, or a related field;
• At least 3 years experience in marketing analyst or data scientist role, ideally within digital marketing, fintech, or crypto industries.
• Strong proficiency in SQL, Python, and BI tools, such as PowerBI, Tableau and etc.
• Familiarity with tools such as Google Analytics, SimilarWeb, AppsFlyer, App Annie, Data.ai and social listening tools.
• Excellent communication, bilingual in English and Mandarin to work effectively with cross-functional teams;
• Strong problem-solving skills and attention to detail.

The Data Scientist:

• Assists in developing graphics and presentations on statistical analysis and data analytics tailored to
  specific audiences.
• Gather data as required to populate and analyze business metrics.
• Provides expert advice about problems of data quality and completeness and works to develop statistically sound solutions to statistical problems (e.g., non-random missing data).
• Provides expert statistical support for both policy development and program management initiatives and advises other principal offices within ED on the collection and use of data.
• Uses a broad range of operations research analyses and data science tools to support professional and scientific analyst work requiring the design, development, and adaptation of mathematical, statistical, econometric, and other scientific methods and techniques to provide advice and insight about the probable effects of alternative courses of action.

The ideal candidate will have professional experience and graduate level academic credentials in supply chain management. Professional experience should include work related to supply planning, procurement, inventory management, shipping and continuous improvement. The ideal candidate should also have proficiency with modern data science and data visualization tools, namely SQL, Python, R, Power BI and Tableau. Proficiency in other geospatial technologies and general project management would also be very valuable.

Updraft is an award winning, FCA-authorized, high-growth fintech based in London. Our vision is to help people get rid of their cumulative debts and the life stress that is associated with that. We believe that the financial world is far too complex, and for customers with large amounts of overdraft and credit card debt overwhelming and stressful. At Updraft we understand the stress, and also the complexity of the financial system, and are building solutions to help solve real problems for real people. We won't rest until everyone in the world has the opportunity to be debt free.

Our product is a mobile application that helps relieve the stress of debt using

• 360-degree spending view across all your financial accounts(using Open banking)
• A free credit report with tips and guidance to help improve your credit score
• Personalized financial planning using a proprietary mix of automated algorithms and manual advice
• Intelligent lending products to help reduce cost of credit.
• Saving products that help users automate their savings.

• Build new data processing workflows to extract data from core systems for analytic products
• Maintain and improve existing data processing workflows.
• Contribute to optimizing and maintaining the production data pipelines, including system and process improvements
• Contribute to the development of analytical products with integration of internal and third-party data sources/ APIs.
• Contribute to proper cataloguing and documentation of data.
• Collaborate with Data Science team in the delivery and iteration of new models

Required Skills:

• Bachelor’s degree in computer science or related field.
• 1-2 years’ experience working in data engineering and related fields with at least 2 years in designing highly scalable Data warehouses.
• Mandatory required high proficiency in ETL, SQL and database management.
• Experience with Athena, Redshift, EMR or Snowflake preferred.
• Experience with AWS services like Glue, Lambda, Step function, SQS, S3.
• Hands-on understanding of AWS services like IAM policies, EC2, RDS, DMS.
• Python programming experience using data libraries like pandas, numpy, scipy etc.
• Experience creating and using Jupyter notebooks
• Interest in machine learning, logistic regression and emerging solutions for data analytics

Good to have but not mandatory required:

• Experience in Fintech, online Lending industry with European operation.
• Experience with open-source tools like Apache Airflow, Metabase, Apache Superset.
• Certification in AWS foundation
• Awareness or Hands-on experience with ML-AI implementation or ML-Ops.

• Paid Time Off
• Work From Home
• Training & Development

Databricks Engineer (Databricks, Python or PySpark)

12 Months Renewable Contract

The Databricks Engineer is responsible for migrating from as-is on-perm data warehouse to Databricks and should have sound knowledge of Databricks. Requires good understanding of data architecture, cloud solutions, building and maintaining a robust, integrated, and governed data infrastructure. The role involves extracting valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Lead end to end data migration project from on-premises environments to Databricks with minimal downtime.
• Work with architects and lead solution design to meet functional and non-functional requirements.
• Hands on experience in Databricks to design and implement the solution on AWS.
• Hands on experience in configuring Databricks clusters, writing Pyspark codes, build CI/CD pipelines for the deployments.
• Highly experienced in optimization techniques (Zordering, Auto Compaction, vacuuming)
• Process near real time data through Auto Loader, DLT pipelines
• Must have strong background in Python and able to identify, communicate and mitigate risks and issues.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity.
• Optimize AWS, Databricks resource usage to control costs while meeting performance and scalability requirements.
• Stay up to date with AWS, Databricks services, and data engineering best practices to recommend and implement new technologies and techniques.
• Proactively implement engineering methodologies, standards, and leading practices.

Requirements / Qualifications:

• Bachelor’s or Master’s degree in computer science, data engineering, or a related field.
• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modelling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.
• Experience in AWS Services focusing on data and architecting.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

We are currently looking for a skilled Data Analyst to become an integral part of our team, focusing on the development of data-driven solutions aimed at enriching our customer relationship management (CRM) strategy to drive performance.

• Analyze and interpret large and complex datasets to develop data-driven insights.
• Collaborate with cross-functional teams to identify opportunities for data science solutions to improve our CRM systems and processes.
• Identify opportunities for process optimization, automation, and data-driven decision-making.
• Communicate complex analytical insights and solutions to stakeholders clearly and concisely.
• Build partnership with strategy team to showcase to refine campaign strategy and  efficiencies
• Be the key PIC for insights generation for the assigned market cluster
• Timely delivery of analysis as per aligned timelines