7 Sap Data jobs in the United Arab Emirates

Job Description

We are seeking an experienced Project Manager to lead and drive the implementation of SAP EC Payroll for our organization. This contract-based role will require a strong blend of technical expertise in SAP EC Payroll, functional knowledge of payroll processes, and project management skills to ensure a seamless implementation.

• Lead and manage the end-to-end SAP EC Payroll implementation, ensuring alignment with business goals and timelines.
• Collaborate with key stakeholders to gather and define payroll requirements, ensuring the solution meets the needs of the organization.
• Oversee all project phases, from scoping and design to testing, deployment, and post-implementation support.
• Coordinate and manage cross-functional teams, including HR, IT, and external vendors, to ensure successful project execution.
• Identify and mitigate project risks, proactively addressing potential roadblocks to ensure timely and efficient delivery.
• Provide guidance and expertise on best practices related to SAP EC Payroll configurations, payroll processing, and compliance requirements.
• Develop and maintain project documentation, including project plans, timelines, and status reports.
• Ensure that the SAP EC Payroll system is fully integrated with other HC systems and meets regulatory compliance requirements.
• Conduct training sessions for end-users to ensure proper system usage and adoption.

• Proven experience in managing SAP EC Payroll implementation projects.
• Strong technical knowledge of SAP EC Payroll configuration and integration.
• Familiarity with payroll systems, including taxation, benefits, and regulatory compliance.
• Expertise in SAP EC Payroll modules, particularly in configuring and maintaining payroll cycles, employee master data, and tax calculations.
• Hands-on experience with SAP SuccessFactors Employee Central (EC) and integration with SAP Payroll or third-party systems.
• Knowledge of data migration processes and testing within SAP EC Payroll.

• Strong understanding of payroll business processes, both functional and technical.
• Ability to align payroll system functionalities with business requirements, ensuring an efficient payroll process.
• Excellent stakeholder management skills, with the ability to communicate effectively across all levels of the organization and with the implementation partner.
• Ability to balance project scope, timelines, and resources while managing risks and delivering high-quality results.

• SAP EC Payroll certification is required (SAP Certified Application Associate – SAP SuccessFactors Employee Central Payroll).
• At least 8 years of experience in SAP EC Payroll implementation, preferably in a project management capacity with multinational organizations preferably operating in the middle east region.
• Proven track record of leading successful SAP EC Payroll projects from start to finish.
• Strong project management skills, with experience in Agile or Waterfall methodologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to interact with both technical and non-technical stakeholders inside and outside the organization.

• SAP EC employee central certification is required (SAP Certified Application Associate – SAP SuccessFactors Employee Central).
• Experience with international payroll implementations is a plus.
• PMP or equivalent project management certification is preferred.

Apt Resources is seeking a detail-oriented Data Entry Operator to work with our SAP ERP system. In this role, you will be tasked with entering and updating data within the SAP platform to ensure optimal operational efficiency. Your attention to detail is crucial as you will be handling important business information and processes that drive our organization.

• Input and maintain accurate data in the SAP ERP system
• Conduct regular data audits and resolve discrepancies as necessary
• Collaborate with various departments to gather necessary data and report inconsistencies
• Assist in generating reports and analyzing data to support decision-making
• Ensure compliance with data entry standards and company policies
• Provide support for SAP system users with data-related queries

• Proficiency in using SAP ERP system though not essential would be an advantage
• Previous experience in data entry or a similar role preferred
• Strong attention to detail and accuracy
• Proficient in Microsoft Office, especially Excel
• Ability to manage time effectively and meet deadlines
• Good analytical and problem-solving skills
• Strong communication skills, both verbal and written

Competitive salary as per market rates

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Join us at Enquo, where we're dedicated to harnessing the transformative power of data and technology. As leaders in technology and data solutions, we prioritize humanity in everything we do. Our mission is clear: to empower organizations to unlock the full potential of their data through cutting-edge technology and exceptional services.

We envision a brighter future, where technology ignites extraordinary achievements and drives profound transformation. Here at Enquo, challenges are opportunities, and our passionate team thrives on making meaningful impacts on society. With humility and a collaborative spirit, we leverage teamwork and creative thinking to deliver optimal and trustworthy solutions.

Asa purpose-driven company, were passionate about using data and technology as catalysts for positive change. Our vision extends to a world where everyone can harness the power of data to reach their fullest potential. At Enquo, honesty, trust, and empathy form the foundation of our simple business language. Were agile, adaptable, and committed to bridging any business need with innovative data solutions.

Join our journey, where curiosity and entrepreneurship drive us to explore uncharted territories and create solutions that truly matter. We foster a collaborative and inclusive environment, valuing every team member's contributions. If you're a talented, curious, and creative individual who thrives in a fast-paced, dynamic setting, we invite you to be part of our mission. Together, let's create new opportunities through data and technology, shaping a more humane future for all.

Enquo: fueling a better future through innovation, data, and technology.

The Master Data Management Lead will be responsible for defining, designing, and building dimensional databases to meet business needs. Assisting in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets.

• Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion
• Experience in ETL processes and advanced SQL skills.
• Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills.
• Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts
• Practical experience working in an Agile Methodology

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
• Proven experience in data quality management, with at least 8 years of experience in a leadership role.
• Strong understanding of data quality frameworks, tools, and methodologies.
• Proficiency in SQL and experience working with data profiling tools.
• Excellent analytical and problem-solving skills.
• Leadership and team management abilities.
• Effective communication and collaboration skills.
• Familiarity with data governance principles is a plus.

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.