business analyst

software engineer

automation developer

backend engineer

estimation engineer

analytics engineer

Cilantro

<div>
 Design, build, and maintain trusted, scalable, and well-documented data models and pipelines using modern analytics engineering tools. This role ensures that analysts and business leaders can extract insights efficiently and reliably from clean data layers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Transformation
 </li>
 <li>
 Develop and maintain dbt models with standardized naming, structure, and robust documentation.
 </li>
 <li>
 Create analytics-ready data marts by transforming raw data into clean, structured datasets.
 </li>
 <li>
 Write modular, well-tested, and efficient SQL code to power modeling layers.
 </li>
 <li>
 Data Pipeline Development
 </li>
 <li>
 Build reliable and scalable data pipelines for ingestion, transformation, and validation.
 </li>
 <li>
 Monitor and troubleshoot data pipeline performance, latency, and failures.
 </li>
 <li>
 Cross-functional Collaboration
 </li>
 <li>
 Work closely with analysts and business stakeholders to translate data requirements into technical solutions.
 </li>
 <li>
 Ensure data logic aligns with business definitions and operational context.
 </li>
 <li>
 Data Quality &amp; Documentation
 </li>
 <li>
 Implement data validation checks and tests to ensure accuracy and trustworthiness.
 </li>
 <li>
 Maintain clear documentation of data models, transformation logic, and data lineage.
 </li>
 <li>
 Use Git for version control and collaboration best practices.
 </li>
 <li>
 Infrastructure Support
 </li>
 <li>
 Support data infrastructure maintenance in cloud environments (BigQuery, Redshift, Snowflake).
 </li>
 <li>
 Adapt to evolving infrastructure, tools, and processes in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, or a related technical field.
 </li>
 <li>
 1&ndash;2 years of experience in analytics engineering, data engineering, or equivalent data-focused roles.
 </li>
 <li>
 Proficient in writing complex SQL queries.
 </li>
 <li>
 Experience with dbt or similar data modeling tools.
 </li>
 <li>
 Familiarity with Git (branching, commits, pull requests).
 </li>
 <li>
 Exposure to cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
 </li>
 <li>
 Understanding of data validation, quality testing, and documentation practices.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., GCP, AWS) is a plus.
 </li>
 </ul>
</div>

Analytics Engineer

SSC HR Solutions

<div>
 We are seeking a Data Project Manager to ensure the quality and timely delivery of our data-driven projects. This role will bridge the gap between technical teams and clients, enforcing delivery discipline, quality standards, and effective communication.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Plan, monitor, and deliver data analytics/ML projects on time and within scope.
 </li>
 <li>
 Manage sprints, tasks, and deadlines across multiple technical teams.
 </li>
 <li>
 Establish and enforce QA processes (code reviews, data validation, testing).
 </li>
 <li>
 Coordinate with clients to align requirements, progress, and deliverables.
 </li>
 <li>
 Anticipate risks and resolve delivery bottlenecks early.
 </li>
 <li>
 Support the growth of younger data scientists and engineers.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Requirements
 
 
 <ul>
 <li>
 2-3 years experience managing projects in data analytics, ML, or software delivery.
 </li>
 <li>
 Solid understanding of the data lifecycle (ETL, modeling, pipelines, dashboards).
 </li>
 <li>
 Familiarity with ML/DL workflows and advanced analytics.
 </li>
 <li>
 Strong organizational skills with Agile/Scrum experience.
 </li>
 <li>
 Excellent communication and stakeholder management.
 </li>
 <li>
 Ability to mentor and motivate younger technical teams
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience as a data analyst, data engineer, or ML engineer.
 </li>
 <li>
 Familiarity with Jira, ClickUp, or similar PM tools.
 </li>
 <li>
 Exposure to client-facing consulting or delivery-focused roles.
 </li>
 </ul>
</div>

Data Project Manager

PwC Middle East

<div>
 
 Description
 
 
 
 At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We&rsquo;re a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.
 
 
 Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.
 
 
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

DXC Technology

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

Data Scientist

Coca-Cola HBC

<div>
 
 We are looking for a highly skilled Data Engineer with significant technical skills in Azure and business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Analytics Products Engineering team. You will have the opportunity to contribute to the strategy, design and development of our Analytics use cases, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, and an opportunity to integrate &amp; transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 <ul>
 <li>
 Collaborate with CCH architects across different IT (DTPS) teams and with cross-functional teams to gather requirements, define technical specifications, and provide architectural guidance for Azure projects. Contribute and align on the strategy, design and implementation of the end2end data journey to expose analytics insights for consumption by different reporting layers;
 </li>
 <li>
 Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL;
 </li>
 <li>
 Develop and implement data governance and data quality frameworks to ensure the integrity and accuracy of data;
 </li>
 <li>
 Design, develop, implement and optimize data pipelines for scalability, performance, security and cost efficiency. Optimize data storage, retrieval, and processing techniques to achieve high performance and cost efficiency;
 </li>
 <li>
 Implement security and access control measures to protect sensitive data within Azure environments;
 </li>
 <li>
 Perform data profiling, analysis, and validation to identify and address data quality issues.
 </li>
 <li>
 Develop and maintain documentation for data solutions, including data models, data flows, and technical specifications;
 </li>
 <li>
 Stay up to date with the latest Azure data services, tools, and best practices, and provide recommendations for their adoption;
 </li>
 <li>
 Lead and guide Azure developers and data engineers from vendors, providing guidance and support in Azure data engineering techniques and methodologies and ensuring development as per CCH standards and guidelines;
 </li>
 <li>
 Ability to understand business requirements and convert into clearly documented technical requirements (dimensions, KBIs, data structure, data granularity, target users), following the agreed guidelines, standards and rules;
 </li>
 <li>
 Collaborate with DevOps teams to implement continuous integration and delivery pipelines for Azure-based applications;
 </li>
 <li>
 Collaborate with and support PowerBI developers to test different approaches for data connections and data transfers to Power BI, to identify the optimal approach per use case considering data volume, Power BI performance, as well as data quality and security considerations.
 </li>
 </ul>
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 <ul>
 <li>
 Deep hands-on experience with MS Azure Data Factory, MS Azure Data Lake Storage, SQL Database (T-SQL), Azure Databricks, Proficiency in SQL and data manipulation languages for data extraction, transformation, and loading.
 </li>
 <li>
 Deep hands-on experience in Python; pyspark
 </li>
 <li>
 Experience with data visualization tools and techniques for creating meaningful data insights (e.g., Power BI, PowerApps) is appreciated;
 </li>
 <li>
 Experience with Data Science techniques, such as feature engineering and modeling is appreciated;
 </li>
 <li>
 Experience in performance optimization techniques in Azure technologies for PowerBI reporting consumption is a plus;
 </li>
 <li>
 Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs). Familiarity with big data technologies such as Hadoop, Spark, and Hive;
 </li>
 <li>
 Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps, in particular Azure DevOps toolkit and automated testing capabilities;
 </li>
 <li>
 Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools;
 </li>
 <li>
 Design and implement data pipelines and ETL processes, ensuring data quality and availability for machine learning models, while possessing a foundational understanding of machine learning concepts and techniques.
 </li>
 <li>
 Develop and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration and deployment of models in production environments (MLOps).
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience);
 </li>
 <li>
 3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms;
 </li>
 <li>
 Knowledge of SAP BW (extractors, transformations, queries, data export) would be appreciated.
 </li>
 <li>
 Understanding of Agile methodology and SAFe Agile is appreciated;
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, stakeholders and vendors;
 </li>
 <li>
 Azure certification, such as Azure Data Engineer Associate, is a plus.
 </li>
 </ul>
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 
 
 
 We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC - one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 
 
 
 Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 
</div>

Data Engineer

Microsoft

<div>
 Microsoft Clarity is a cutting-edge behavioral analytics tool that helps web developers and product teams understand user interactions through heatmaps, session recordings, and insights. As part of the Clarity team, you&rsquo;ll contribute to a product that empowers millions of users to optimize their digital experiences.
 
 
 We are seeking a passionate and skilled
 
 Software Engineer
 
 to join the Microsoft Clarity team. You will be responsible for designing, developing, and maintaining scalable web analytics features that deliver real-time insights to users. This role offers the opportunity to work on high-impact projects in a fast-paced, data-driven environment.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Works with appropriate stakeholders to determine user requirements for a feature.
 </li>
 <li>
 Supports identification of dependencies, and the development of design documents for a product feature with oversight.
 </li>
 <li>
 With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
 </li>
 <li>
 Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
 </li>
 <li>
 Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 You must be legally authorized to work in Egypt to be eligible for this role
 </li>
 <li>
 Fluency in English
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience in back-end engineering
 
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer

Accenture

<div>
 Accenture is seeking a hands-on
 
 SAP HCM Story Reports Analyst
 
 to support a major SAP transformation program by designing, developing, and delivering Human Capital Management (HCM) analytics and reporting solutions. This role will focus on creating interactive SAP Analytics Cloud (SAC) stories, dashboards, and reports to provide actionable insights into workforce management, payroll, time tracking, and HR operations.
 
 
 The SAP HCM Story Reports Specialist will work closely with HR, Finance, and technical teams to ensure reports are accurate, insightful, and aligned with business objectives. This role requires a detail-oriented individual with strong analytical and technical skills to transform data into meaningful insights that drive decision-making.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design, develop, and deliver SAP Analytics Cloud (SAC) stories, dashboards, and reports for HCM processes, including workforce management, payroll, time tracking, and HR operations.
 
 </li>
 <li>
 Collaborate with HR, Finance, and technical teams to gather reporting requirements and ensure alignment with business objectives.
 
 </li>
 <li>
 Ensure the accuracy, reliability, and timeliness of HCM analytics and reporting solutions.
 
 </li>
 <li>
 Translate complex data into actionable insights through interactive visualizations and dashboards.
 
 </li>
 <li>
 Support data integration and validation processes to ensure seamless reporting across SAP modules.
 
 </li>
 <li>
 Troubleshoot and resolve issues related to HCM reporting and analytics.
 
 </li>
 <li>
 Provide training and support to end-users on SAC reporting tools and functionalities.
 
 </li>
 <li>
 Stay updated on SAP Analytics Cloud capabilities and best practices to continuously improve reporting solutions.
 
 </li>
 <li>
 Experience: 1&ndash;3 years of experience in SAP Analytics Cloud (SAC) reporting and analytics, with a focus on HCM processes.
 
 </li>
 <li>
 Education: Bachelor&rsquo;s degree in information technology, Data Analytics, Human Resources, Business Administration, or a related field.
 
 </li>
 <li>
 Technical Skills:
 
 </li>
 <li>
 Proficiency in SAP Analytics Cloud (SAC) for story creation, dashboards, and reporting.
 
 </li>
 <li>
 Familiarity with HCM processes such as workforce management, payroll, time tracking, and HR operations.
 
 </li>
 <li>
 Basic understanding of SAP HCM modules and data structures.
 
 </li>
 <li>
 Knowledge of data visualization best practices and tools.
 
 </li>
 <li>
 Analytical Skills: Strong analytical and problem-solving skills to transform data into actionable insights.
 
 </li>
 <li>
 Communication Skills: Excellent verbal and written communication skills to collaborate effectively with stakeholders and teams.
 
 </li>
 <li>
 Attention to Detail: High level of accuracy and attention to detail in reporting and analytics.
 
 </li>
 <li>
 Team Collaboration: Ability to work collaboratively with cross-functional teams, including HR, Finance, and technical teams.
 
 
 </li>
 
 Preferred Qualifications:
 
 
 
 
 <li>
 Experience with SAP SuccessFactors reporting.
 
 </li>
 <li>
 Knowledge of HR analytics and workforce management metrics.
 
 </li>
 <li>
 Familiarity with data integration and validation processes in SAP systems.
 
 </li>
 <li>
 Certification in SAP Analytics Cloud or related tools.
 
 
 
 </li>
</div>

SAP HCM Story Reports Analyst

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