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enterprise data operations asst analyst

data analytics specialist

Talent 360 ME

<div>
 About the Role:
 
 
 We&rsquo;re looking for a talented and analytical data analyst to join our growing team and help us level up our football-focused gaming app. You will play a key role in driving product improvements, optimizing user engagement, and supporting data-driven decision-making across the company.
 
 
 This is a unique opportunity to work at the intersection of gaming, sports analytics, and user behavior, with the freedom to explore insights that make a direct impact.
 
 
 Key Responsibilities:
 
 
 Analyze user behavior, in-game performance, retention, and monetization to support product development and growth strategies.
 
 
 Build and maintain dashboards, reports, and KPIs to monitor player engagement and app performance.
 
 
 Collaborate closely with product managers, developers, and marketing teams to test and evaluate new features or campaigns.
 
 
 Run A/B tests and provide actionable recommendations to optimize gameplay and user experience.
 
 
 Segment users based on playing styles, purchasing habits, or churn risk to improve personalization and targeting.
 
 
 Translate complex data into clear business insights and present findings to non-technical stakeholders.
 
 
 Required Qualifications:
 
 
 Minimum 3 years of experience as a data analyst, preferably in the gaming or mobile app industry.
 
 
 
 Proven Experience At a Reputable Application Or Tech Company.
 
 
 
 Strong proficiency in SQL and data visualization tools such as Tableau, Power BI, or Looker.
 
 
 Solid understanding of product analytics and experimentation (e.g., A/B testing, cohort analysis).
 
 
 Familiarity with tools like Google Analytics, Firebase, Mixpanel, or Amplitude.
 
 
 Excellent problem-solving skills and a passion for data-driven storytelling.
 
 
 Bonus: Strong interest in football (soccer) and/or experience with fantasy leagues, sports apps, or gaming platforms.
 
 
 Working conditions:
 
 
 <ul>
 <li>
 Hybrid
 </li>
 <li>
 From Sunday to Thursday.
 </li>
 <li>
 Friday and Saturday are off
 
 
 
 </li>
 </ul>
 Benefits:
 
 
 <ul>
 <li>
 Social insurance
 </li>
 <li>
 Medical insurance
 
 
 
 </li>
 </ul>
 Work location: Zamalek
</div>

Data Analyst / Data Scientist

Henkel

<div>
 
 About This Position
 
 
 
 This position is part of the Global Business Solutions (GBS+), IT Department, supporting Henkel&rsquo;s Adhesive Technologies innovations. The position combines IT expertise with a strong understanding of chemistry, enabling seamless collaboration between technology and product innovation.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Steers projects and activities independently for and with other remote Henkel adhesives innovation locations &amp; Global central IT team.
 </li>
 <li>
 Pilot advanced tools &amp; technologies (cloud services) to design, build and run data-driven solutions contributing to digitalization strategy.
 </li>
 <li>
 Work with stakeholders to identify bottlenecks in existing processes and opportunities to leverage advanced analytics.
 </li>
 <li>
 Responsible for extracting data by various means, data cleansing (manually, semi-automatically, automatically)
 </li>
 <li>
 Performs data pre-processing routines for data ingestion &amp; data reconciliation across systems.
 </li>
 <li>
 Generate Insights and building dashboards using different methods, tools, and platforms while integrating existing and new data sources into the purchasing universe.
 
 
 </li>
 </ul>
 
 YOUR SKILLS
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, Chemistry or any relevant study (background in Chemistry is considered a strong advantage)
 </li>
 <li>
 1-3 years of relevant work experience and good to have Chemistry background
 </li>
 <li>
 Proficient experience using statistical analysis (Python and SQL)
 </li>
 <li>
 Mandatory Experience in Data Visualization (Power BI)
 </li>
 <li>
 Preferrable experience in Microsoft Azure (DevOps, machine learning, data bricks, etc.) &amp; SAP Processes
 </li>
 <li>
 Fluent English speaker with excellent communication skills and teamwork abilities
 </li>
 <li>
 Proficient user of MS Office applications (Word, Excel, and PowerPoint)
 
 
 </li>
 </ul>
 Henkel is an equal opportunity employer. We look for a diverse team of individuals who possess different backgrounds, experiences, and mindsets.
</div>

Innovation Data Analyst

Allianz Partners

<div>
 
 Job Overview
 
 
 
 The Data Intelligence Reporting Specialist will be responsible for data mining, design of, creation and timely production of accurate International Health reports. Maintenance and support of these reports within the global reporting team for Health OEs: Allianz Care, Nextcare, Medi-24, Mawista and Australia Students as well as across all departments within Operations is also required
 
 
 
 What You Do
 
 
 
 Responsibilities will include, but are not limited to, the following:
 
 
 <ul>
 <li>
 Train and mentor team members on data analysis tools and techniques, such as SQL, Excel, PowerBI, Alteryx, and Celonis.
 </li>
 <li>
 Lead data-driven projects and initiatives to improve operational efficiency and effectiveness.
 </li>
 <li>
 Actively participate in strategic planning sessions to provide data-driven recommendations and insights.
 </li>
 <li>
 Monitor and track key performance indicators (KPIs) to assess business performance and identify areas for improvement.
 </li>
 <li>
 Supervise and coach the data team, providing guidance on technical skills and professional development.
 </li>
 <li>
 Ownership of Dashboard creation on top of reporting for all 5 Allianz Partners Entities.
 </li>
 <li>
 Creation and maintenance of reports and data in line with documented Key Performance Indicators (KPIs).
 </li>
 <li>
 Ability to design, create, maintain, enhance, and analyze dashboard reports and KPIs across a number of data intelligence tools.
 </li>
 <li>
 Understand the data relationships that exist between the business processes and systems. In turn apply this knowledge when interpreting the information requirements from the business.
 </li>
 <li>
 Ability to identify changing trends and anomalies in data and investigate/ explain same.
 </li>
 <li>
 Ability to translate data, analysis, and commentary into a clear and concise story to support management in strategic decisions.
 </li>
 <li>
 Creation, test, and delivery of existing and ad-hoc reporting from current systems
 </li>
 <li>
 Maintenance of reporting from legacy systems including highly complex reports e.g. Claims trend &amp; Leakage reports to agreed deadlines.
 </li>
 <li>
 Ability to gather, interpret, identify gaps, and translate business reporting requirements into global reporting solutions.
 </li>
 <li>
 Creation of ad hoc data extracts from an oracle database via SQL.
 </li>
 <li>
 Understanding database concepts and terminology, database design principles and elements to deliver reporting.
 </li>
 <li>
 Expert knowledge of the functionality available within PowerBI, Oracle Database, Alteryx, Celonis and Excel.
 </li>
 <li>
 Creation and maintenance of robust testing, analysis, and aggregation of formatted data to ensure data trustworthiness.
 </li>
 <li>
 Enhance Data Quality and Integrity within Allianz Partners systems.
 </li>
 <li>
 Proactively manage and own daily, weekly, and monthly workflow to ensure key performance indicators and service standards are met.
 </li>
 <li>
 Continue to develop technical and systems knowledge, business and insurance understanding and support other team members.
 </li>
 <li>
 Act as the Operations reference point for all Business Information Management related questions.
 </li>
 <li>
 Ensure all Operations data performance is aligned with key stakeholder data e.g. regional office alignment.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 To be successful in this position you will need to have the following skills/ experience:
 
 
 <ul>
 <li>
 Minimum of 5 years&rsquo; experience with extensive knowledge of Management Information Systems (preferably within the insurance/financial services industry).
 </li>
 <li>
 Exceptional analytical skills (capable of understanding complex data structures, organize and structure data extract and transformation processes).
 </li>
 <li>
 Excellent presentation skills, Customer focused, confident, personable character.
 </li>
 <li>
 Personal Effectiveness &ndash; highly motivated, proactive, self-starter, responsible and highly committed, high attention to detail and accuracy.
 </li>
 <li>
 Experience in working to and meeting deadlines.
 </li>
 <li>
 Role model who inspires and motivates others to perform, effective team player.
 </li>
 <li>
 Proven Management Information reporting experience and Business Analyst skills including:
 </li>
 <li>
 Requirement&rsquo;s analysis / ability to interpret users&rsquo; needs.
 </li>
 <li>
 Source data analysis and consolidation.
 </li>
 <li>
 Report building and writing.
 </li>
 <li>
 Financial &amp; KPI reporting
 </li>
 <li>
 Data modeling as an integrated model in a common landscape
 </li>
 <li>
 Data Quality and Integrity
 </li>
 <li>
 Problem solving &amp; effective solution delivery.
 </li>
 <li>
 Demonstrable expert knowledge of the following tools:
 </li>
 <li>
 PowerBI, SQL, PLSQL, MS Excel, MS Access
 </li>
 <li>
 Additional experience with the following advantageous:
 </li>
 <li>
 VBA, Oracle
 
 
 </li>
 </ul>
 80739 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
 
 
 Great to have you on board. Let's care for tomorrow.
</div>

Data Intelligence Reporting Specialist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 Our Purpose - Bridging the World Through Travel
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Get to Know Our TeamThe Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 The Opportunity
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 In This Role, You&rsquo;ll Get to
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 It&rsquo;s Great if You Have
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 Equal Opportunity Employer
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 Disclaimer
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

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

Hadaf Solutions

<div>
 
 
 Job Description:
 
 
 
 We are looking for a highly skilled Performance Marketing Specialist &ndash; B2B with a strong marketing mindset to join our team. The ideal candidate will be responsible for planning and managing paid marketing campaigns across platforms such as LinkedIn, Google Ads, Meta, and others, with a focus on lead generation and measurable business impact.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Plan and execute performance-driven B2B campaigns across LinkedIn and Google Ads.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Optimize campaigns to achieve KPIs such as CPL, MQLs, and ROAS.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Monitor campaign performance and analyze data to provide actionable insights.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with marketing, design, and analytics teams to ensure alignment with business goals.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement targeting strategies to effectively reach B2B audience segments.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utilize platforms such as Google Analytics, Looker, Zapier, and GTM to measure and report performance.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay up-to-date with trends in B2B digital advertising and performance marketing.
 
 
 
 
 
 
 Requirements:
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven experience in performance marketing with a focus on B2B.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands-on experience with LinkedIn, Google Ads, and Meta campaigns.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical skills and data interpretation capabilities.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid understanding of campaign KPIs and performance metrics.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience using tools like Google Analytics, Looker, Zapier, and GTM.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strategic thinking with the ability to manage execution efficiently.
 
 
 Excellent communication and teamwork skills.
 
 
 
 
 
 
 Apply now!
 
 
 https://b24-wseg9l.bitrix24.site/crm_form_f1cao/
 
 
 
</div>

Performance Marketing Specialist

Explore 732+ Data analytics specialist in Cairo this September. Find roles across top companies and apply now to boost your career.

732 data analytics specialist jobs IN Cairo

Data Analyst / Data Scientist

Innovation Data Analyst

Data Intelligence Reporting Specialist

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead DS (Data Scientist) Bangkok based, Relocation provided

SAP HCM Story Reports Analyst

Performance Marketing Specialist