Job Description

• Industry/ Organization Type: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check products.
• Enter relevant information into the SAP system accurately.
• Communicate with suppliers to resolve any unclear information or discrepancies.
• Maintain organized records and ensure data integrity.
• Assist in generating reports and extracting data as needed for different business needs.
• Perform other ad hoc duties as assigned to support the team and business operations.

APPLY NOW!!!

• Experience using the SAP system is preferred.
• Strong attention to detail.
• Good computer literacy and communication skills.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #67597 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Hey Hey! Are you seeking an opportunity that helps you improve and grow your personality?

Our company is expanding!!

We are looking for an enthusiastic Junior Marketing to join our growing team. We provide development on personal growth, communication skills and we never fail to see teammates walking in and out of the office smiling. :)

Responsibilities:

-Achieve sales target and improve the sales of clients' company

-Creating awareness about the product or services that our clients is providing

-Lead a sales and marketing team and facilitating team’s growth

-Get involved in client’s marketing through business development

-Develop analytical and problem-solving skills

What do we want from you?

-No experience? Fear not, 1-1 mentorship and guidance are provided!

-Keen learning attitude and enjoy interacting with new people

-Hunger for personal development and progress

-Team player

Benefits:

-Attractive Performance Incentives

-Overseas Travelling Opportunities

-Fun Environment

-Team bonding activities

Summary of role requirements:

• No experience required for this role
• Working rights required for this role
• No experience required for this role
• Expected salary: $3000-$5000 per month

We regret to inform you that only shortlisted candidate will be notified.

Join us today!

Responsibilities

Sitting on the left-hand seat, you will take command of the flight and ensure the highest personal and professional standards are upheld at all times. Your focus is on ensuring that flights are safe, comfortable and on-time, every time. As a leader and a team player, you set the example and help develop members of the Scoot team to deliver the Scootitude experience to all passengers.

Successful candidates will be placed either on A320 / Embraer 190-E2 fleet.

Pilots with Jet experience:

• Total flight time of more than 3,500 hours on aeroplanes with MTMA of 5700kg or more
• At least 1,000 hours as Pilot-in-Command (PIC/P1) on multi-engine jet or turbine commercial airline transport aircraft certificated for multi-crew operation.

Pilots without Jet experience:

• Total Flight Hours of more than 4,000 hours on aeroplanes with MTMA of 5,700kg or more
• Minimum of 2,000 Pilot-in-Command (PIC) hours (exclude P1 U/S hours) on multi-engine turboprop, commercial airline transport aircraft certificated for multi-crew operation.

Licensing Requirements

• A Civil Aviation Authority of Singapore issued ICAO ATPL (foreign ATPL will be required to undergo licence conversion which requires an instrument rating and a proficiency check that has a minimum of 6 months' validity.)
• Demonstrate the ability to speak and understand English with a minimum of ICAO level 4.
• Satisfy all vaccination requirements as required by CAAS.

Desirable Traits

• A leader with a strong passion to nurture and guide fellow teammates
• A team player who demonstrates composure, confidence and maturity
• A sense of humour to brighten up the day of everyone around you
• Definitely the 'Scootitude' DNA in you!

Training Co-Payment & Training Bond

• Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating for the assigned fleet.
• Successful candidates who are provided with type rating training will be subjected to a co-payment of the training cost and will be required to enter a training bond.

• Well Established Company
• Basic $2500 - $2800 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Tuas
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Data entry
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Employ statistical modeling and machine learning to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
• Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
• Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
• Develop sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
• Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
• Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
• Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
• Undertake other assigned tasks as needed.

Requirements:

• Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
• Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
• Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
• Skilled in developing and implementing algorithms to optimize processes and solve problems.
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
• Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
• Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
• Meticulous, organized, resourceful, highly motivated, and capable of independent work.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24993

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Want to make a difference of yourself with personal and future growth?

Start your journey with us to make a difference!

We're currently seeking talents to groom the next stage of the business, sales and marketing.

In the company, we build important of commuication skills and teamwork. We are also seeking dynamic individuals who are eager to learn and grow with our innovation team.

Responsibility:

- Conduct sales and marketing activities through different channels arranged by the company to connect clients with the right customer base
- Build strength, increase public awareness of our clients’ presence and services

Benefits:
- 1-1 Coaching & Guidance
- Advancement Opportunity
- Travel Exposure
- Team Building
- Vibrant Environment


Requirement:

- Strong Interpersonal and Communication skills
- Team-Oriented Player
- Reliable personality when engaging with team and clients
- Student Learning Mentailty

No experience required. Entry level candidates are welcome to apply!
Apply now!

KEY ACCOUNTABILITIES

• Maintain and adopt Agile best practices and lifecycles for process workflows (e.g., Kanban, CI/CD)
• Collaborate with business users and business analysts to refine and understand both functional and non-functional requirement during SIT & UAT stages.
• Develop automated test scripts to validate functional and technical requirements in data processing pipeline and to perform data quality checks
• Collaborate with data analysts in profiling data and monitoring data trends
• Collaborate with Developers/DevOps Engineers on code management, peer review, continuous integrated testing in CI/CD pipelines
• Assure quality at different phases of SDLC by adhering to process and strategies defined by Eastspring IT
• Execute manual / automated / exploratory tests and provide QA sign-off to business users for releases
• Maintain test process, design and execution artifacts in test management system complying the audit regulations
• Prepare testing traceability reports and other testing metrics

QUALIFICATIONS / EXPERIENCE

• Recognized degree or higher in Computer Science or related Engineering fields.
• At least 8 years of working experience in Test Automation, using test frameworks for Database (ETL Testing) and Data analytical testing.
• Working knowledge in testing Data management platform tools same-as/similar-to ‘Golden Source’
• Sound knowledge in Java programming, SQL queries and Cucumber (Java) testing framework.
• Good knowledge in testing scheduling/orchestration tools (like Control-M, Azure Data Factory)
• Working knowledge of relational databases and comfortable with testing SQL jobs and stored procedures with awareness of data security.
• Basic understanding of data quality, profiling, and analytics concepts.
• Working experience with test management tools such as Jira with Xray / Zephyr
• Working knowledge of tools such as bitbucket, Jenkins, confluence and familiar with Git branching model
• Working experience in Agile projects, Behavior Driven Development (BDD) approach to software development and testing.
• Good to have basic programming knowledge in Python
• Good to have knowledge of Azure cloud platform.
• Good to have working experience in investment Bank or Asset Management industry.

OTHER TRAITS

• Positive attitude and collaborative mindset.
• Willing to work across projects and perform manual / automation / exploratory testing
• Highly motivated to keep abreast with the latest development in technology and to acquire deep technical knowledge and skills.
• Excellent communication, presentation, and interpersonal skills.

• Employ statistical modeling and machine learning to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
• Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
• Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
• Develop sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
• Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
• Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
• Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
• Undertake other assigned tasks as needed.

Requirements:

• Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
• Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
• Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
• Skilled in developing and implementing algorithms to optimize processes and solve problems.
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
• Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
• Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
• Meticulous, organized, resourceful, highly motivated, and capable of independent work.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24993

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Job Description:

• Prepare Bill of Material and ensure sufficient materials to produce the ordered products.
• Prepare daily WIP reports.
• Assist in the analysis of work order releases with respect to capacity planning and material requirements.
• Identify material shortages and expiry to avoid excessive volume and accumulation at plant.
• Coordinate with warehouse team to control the inventory movement and ensure no stock keep in warehouse more than 3weeks without consumption.
• Perform other duties as assigned by manager.

Job Requirement:

• Good interpersonal and communication skill
• Have administrative or planning experience in production department preferred
• Good with Microsoft applications, such as Excel, Word and PowerPoint
• Strong analytical and problem-solving skills

AngelineMah
Reg No: R2096146
One Vogue Pte Ltd
EA License: 19C9629

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.

Working Location: Labrador Park

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Collect, clean, and analyze data to support business decision-making
• Create and maintain reports, dashboards, and presentations to visualize insights
• Conduct research to identify trends, opportunities, and risks within the industry
• Analyze workflows and recommend improvements for efficiency
• Work with teams to support key initiatives and achieve business goals
• Track market and industry developments to provide actionable insights
• Use software tools like Excel, SQL, or data visualization platforms to manage data
• Handle special projects or tasks as assigned by the team lead

JOB REQUIREMENTS

• Minimum Diploma and above
• Proficiency in Excel and basic understanding of data analysis tools
• Strong analytical skills with the ability to interpret data and identify trends
• Clear and effective communication for presenting findings and collaborating with teams

EA Reg. Number: R21100629

EA License Number: 22C1278