expert data scientist (vois) Jobs in Giza

expert data scientist (vois)

data scientist

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 We are seeking a highly skilled Data Scientist to join our Analytics &amp; Machine Learning Centre of Excellence. This role is pivotal in designing and developing analytical models and insight packs that transform raw data into actionable intelligence. The individual will work across local and partner markets, as well as corporate accounts, applying predictive and descriptive statistical techniques to support strategic decision-making. The role involves close collaboration with commercial teams and technical stakeholders to ensure robust, scalable, and secure data solutions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build, test, and deliver analytical models using diverse datasets to support business use cases
 </li>
 <li>
 Prepare and cleanse data using SQL and NoSQL techniques, optimising for statistical modelling
 </li>
 <li>
 Develop descriptive and predictive models tailored to specific market segments, products, and services
 </li>
 <li>
 Present actionable insights to commercial teams based on model outcomes
 </li>
 <li>
 Collaborate with TechOps and Architecture teams to select and implement suitable data platform technologies
 </li>
 <li>
 Ensure solutions are supportable, secure, and aligned with disaster recovery and encryption best practices
 </li>
 <li>
 Establish and enforce design and coding standards, mentor team members, and lead internal technical training
 </li>
 <li>
 Participate in business analysis and documentation of information requests
 </li>
 <li>
 Create and maintain Standard Operating Procedures (SOPs)
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, with 5+ years of relevant experience
 </li>
 <li>
 Proven experience in SQL and databases such as Teradata, Oracle, or MySQL
 </li>
 <li>
 Skilled in statistical tools including Python, R, SAS EM, MATLAB, SPSS, and Teradata Warehouse Miner
 </li>
 <li>
 Strong understanding of machine learning techniques and their real-world applications
 </li>
 <li>
 Experience working with high-volume, high-dimensional data, preferably in Hadoop/Spark environments
 </li>
 <li>
 Effective communicator across technical and organisational boundaries
 </li>
 <li>
 Demonstrated ability to influence stakeholders and drive process innovation
 </li>
 <li>
 Capable of mentoring peers and delivering internal technical training
 </li>
 <li>
 Strong critical thinking and problem-solving skills with a proactive mindset
 
 
 
 </li>
 </ul>
 
 Not a perfect fit?
 
 
 
 Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
 
 
 
 What's In It For You
 
 
 
 <ul>
 <li>
 Opportunity to work on strategic data science initiatives with high organisational impact
 </li>
 <li>
 Exposure to international, distributed teams and cross-functional collaboration
 </li>
 <li>
 A chance to influence decision-making processes across markets and business units
 </li>
 <li>
 Access to cutting-edge technologies and platforms in data science and analytics
 </li>
 <li>
 A supportive environment for mentoring and professional development
 
 
 
 </li>
 </ul>
 
 What Skills You Will Learn
 
 
 
 <ul>
 <li>
 Advanced analytical modelling and statistical techniques
 </li>
 <li>
 Data platform architecture and optimisation
 </li>
 <li>
 Cross-functional stakeholder engagement and influence
 </li>
 <li>
 Technical leadership and mentoring capabilities
 </li>
 <li>
 SOP creation and operational excellence in data science delivery
 
 
 
 </li>
 </ul>
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn
 </li>
 <li>
 Facebook
 </li>
 <li>
 Instagram
 </li>
 <li>
 Chat with our employees
 </li>
 </ul>
</div>

Expert Data Scientist (VOIS)

Appgain

APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.Responsibilities:<ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul>Job Type: full time on siteJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

AI Engineer

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 
 
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 
 
 
 The Opportunity:
 
 
 
 As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 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>

Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Concentrix

<div><div><div>Operations
</div><div><div><div>Location</div><div>
Giza, Egypt</div></div></div><div></div><div> 
Job Title:
Analyst, Business Operations
Job Description
analysis and insights
Job Summary: We are seeking a highly analytical and detail-oriented Business &amp; Data Analyst to support strategic decision-making through data insights and business process optimization. This hybrid role combines the responsibilities of a Business Analyst and a Data Analyst, requiring strong business acumen, data analysis skills, and the ability to communicate findings effectively to stakeholders.
Key Responsibilities:<ul><li>
Collaborate with stakeholders to gather and document business requirements.</li><li>
Analyze business processes and identify opportunities for improvement.</li><li>
Translate business needs into technical specifications and data models.</li><li>
Collect, clean, and analyze large datasets to uncover trends and insights.</li><li>
Develop and maintain dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau).</li><li>
Conduct root cause analysis and provide actionable recommendations.</li><li>
Support strategic planning, forecasting, and performance tracking.</li><li>
Ensure data integrity and compliance with data governance standards.</li><li>
Present findings and insights to both technical and non-technical audiences.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Business Administration, Data Science, Information Systems, or a related field.</li><li>
3+ years of experience in business analysis, data analysis, or a similar hybrid role.</li><li>
Strong proficiency in SQL, Excel, and data visualization tools.</li><li>
Experience with statistical tools and programming languages (e.g., Python, R) is a plus.</li><li>
Excellent problem-solving, critical thinking, and communication skills.</li><li>
Ability to manage multiple projects and work cross-functionally.</li><li><div>
equirements: 
&#9989; Minimum of 3 years of experience in Data Analysis / Business data Analysis within a BPO (Call Center) environment 
&#9989; Must have:</div></li><li>
Excel: Master level</li><li>
Power BI: Master level</li><li>
SQL: Advanced level (PostgreSQL preferred)</li><li>
Python: Entry level</li><li><div>
Additional Details: 
 Work Location: On-site at 6th of October and/or 5th Settlement 
 Working Hours: 2:00 PM &ndash; 11:00 PM (Cairo Time)</div></li></ul>
Preferred Skills:<ul><li>
Experience with process mapping and business process reengineering.</li><li>
Familiarity with project management methodologies (Agile, Scrum).</li><li>
Knowledge of data warehousing and ETL processes.</li></ul>
Location:
Egypt, Cairo RHQ
Language Requirements:
Time Type:
Full time2025-11-30
If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents</div></div></div><div></div>

Analyst, Business Operations

Orange

<div><div>Purpose of the job
Responsible for evaluating, monitoring and troubleshooting all the performance aspects of the services carried over the Data Network, End to End, across/from the Data Network perspective.
Duties and responsibilities
<ul><li>Maintain Data Network E2E Quality of Service Health Check Reporting.</li><li>
Build the database for all network elements across the network.</li><li>
Handle Quality Incidents and Complaints related to data network.</li><li>
Create &amp; develop E2E Service Reports/Dashboards, along with analyzing and troubleshooting across the data network.</li><li>
Support during TX/Service outages.</li></ul>
<ul><li>Achieve and maintain a high QoS level of the data network and ensure high quality performance while Identifying areas of enhancement proactively.</li><li>
Monitor, audit and report the data network links/nodes performance and availability through daily/weekly/ monthly assessment reports.</li><li>
Monitor network performance, troubleshoot and isolate failures related to data network nodes, provide proactive recommendation to enhance performance.</li><li>
Analyze Service Delay and Packet loss &amp; troubleshoot mile by mile across the data network.</li><li>
Audit the performance and availability parameters, ensuring optimum values.</li><li>
Establish a direct relationship between the customer experience &amp; the data network performance issues to interpret/correlate the impact of such issues on customer experience.</li><li>
Interact with all departments and vendors to ensure all issues to be addressed from data network.</li><li>
Identify and perform diagnosis &amp; investigations of data network problems that directly impact customers.</li><li>
Fill the gaps between the different technology teams and act as a liaison between them to reach the best E2E customer journey.</li></ul>
Job Specifications:
Education:
Bachelors degree in Telecommunications Engineering.
CCNP Certificate, CCIE or Service Provider is a plus.
Experience:<ul><li>
3-5 Years in Core Networks and telecom field.</li><li>
Good knowledge in GSM/3G/LTE Architecture.</li><li>
Good knowledge in VAS, SDM/HLR, IN Architecture.</li><li>
Good knowledge in Packet Core (MME/PCRF/SGSGN/GGSN/.. )</li><li>
Solid knowledge of data network concepts and devices; IP networks, MPLS, Traffic Engineering</li><li>
Good knowledge of IP QoS, congestion management, traffic policing &amp; shaping and QoS best practices.
</li></ul><ul><li>Hands on experience in Cisco and Juniper Nodes</li><li>
Good knowledge in scripting.</li><li>
Good Experience in Routing &amp; Switching (OSPF, BGP).</li><li>
Good knowledge of network elements administration and management concepts including SNMP, Network Telemtery, KPIs, and translating MIB files</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

Supervisor, Data Network QoS

Systems Limited - Egypt

<div>
 
 
 Job Title: Project Manager &ndash; Data Projects
 
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Project Manager with proven experience leading
 
 data warehouse, business intelligence, or similar data-focused projects
 
 . The ideal candidate will have strong technical understanding, excellent communication and leadership skills, and a solid track record of delivering projects on time, within scope, and with exceptional quality.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end planning, execution, and delivery of
 
 data warehouse, data analytics, or data platform projects
 
 .
 </li>
 <li>
 Define project scope, timelines, budget, and deliverables in alignment with business goals.
 </li>
 <li>
 Coordinate and collaborate closely with business stakeholders, data engineering teams, and development teams.
 </li>
 <li>
 Monitor project progress, manage risks, resolve issues, and ensure high-quality deliverables.
 </li>
 <li>
 Facilitate effective communication across technical and non-technical teams.
 </li>
 <li>
 Conduct project status meetings, provide detailed progress reports, and ensure alignment with SLAs.
 </li>
 <li>
 Ensure proper documentation, governance, and compliance throughout project lifecycle.
 </li>
 <li>
 Build, mentor, and inspire cross-functional teams to achieve high performance.
 </li>
 <li>
 Oversee scrum and agile ceremonies when applicable (daily standups, sprint planning, retrospectives).
 </li>
 <li>
 Work collaboratively to maintain balance between business priorities and technical feasibility.
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Proven experience managing
 
 data warehouses, BI, or similar data-heavy projects
 
 .
 </li>
 <li>
 Strong knowledge of
 
 project management methodologies
 
 and tools.
 </li>
 <li>
 Skilled in the use of
 
 project management software
 
 (e.g., MS Project, Jira, ClickUp).
 </li>
 <li>
 Experience working under pressure, meeting tight deadlines, and managing multiple initiatives.
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 ; ability to present to both technical and business stakeholders.
 </li>
 <li>
 Strong ability to
 
 organize, plan, and manage
 
 tasks methodically.
 </li>
 <li>
 Solid interpersonal skills and the ability to foster team collaboration.
 </li>
 <li>
 Strong understanding of
 
 SCRUM and Agile methodologies
 
 .
 </li>
 <li>
 Hands-on experience with
 
 scrum boards / tools such as Jira
 
 .
 </li>
 <li>
 Experience with
 
 DWH &amp; BI tools
 
 (e.g., SQL Server, Power BI, Snowflake, Informatica) is highly desirable.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Certification in PMP, Scrum Master, or Agile methodologies.
 </li>
 <li>
 Experience in enterprise-level tech environments or complex data transformation programs.
 </li>
 <li>
 Background working with cloud data platforms (AWS, Azure, GCP) is a plus.
 </li>
 </ul>
 
 
</div>

Project Manager

EVA Pharma

<div>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.
Job Summary
We are seeking a passionate and talented Senior Sales Analyst to join our dynamic team.
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.
Key Responsibilities:
Sales Reporting &amp; Analysis:<ul>
<li>
Prepare, monitor, and analyze sales performance against targets across the entire Field Force (FF) to identify key trends, variances, and growth opportunities.</li>
<li>Develop and implement standardized sales reports and metrics.</li>
</ul>
Data Visualization &amp; Business Intelligence:<ul>
<li>
Lead the development of dynamic and interactive sales performance dashboards using various Business Intelligence (BI) tools, such as Power BI.</li>
<li>Translate complex data sets into clear, compelling, and actionable visual narratives for stakeholders.</li>
</ul>
Strategic Collaboration:<ul>
<li>
Act as a key partner to the Sales and Marketing teams, providing data-driven recommendations to optimize strategies and enhance overall sales force effectiveness.</li>
<li>Facilitate regular performance review meetings with data support.</li>
</ul>
Data Management &amp; Insight Generation:<ul>
<li>
Maintain the integrity and accuracy of sales databases and reporting systems.</li>
<li>Generate proactive, actionable insights from sales data to inform strategic decision-making and improve sales performance.</li>
</ul>
Requirements<ul>
<li>
Education: Bachelor&rsquo;s degree in business administration, Finance, or a closely related quantitative field.</li>
<li>Experience: Minimum of 2 years of progressive experience in sales analysis, commercial effectiveness, or a highly analytical business intelligence role.</li>
<li>Analytical Acumen: Exceptional analytical and critical thinking skills are crucial for translating complex sales data into practical insights.</li>
<li>Problem-Solving: Demonstrated ability to apply strong problem-solving skills to diagnose performance issues and recommend effective solutions.</li>
<li>Technical Proficiency: Advanced expertise in data analysis tools, including:</li>
<li><ul><li>Microsoft Excel (advanced functions, pivot tables, data modeling).</li>
<li>Proficiency in data visualization and BI platforms (e.g., Power BI).</li>
<li>Familiarity with Enterprise Resource Planning (ERP) systems is highly desirable.</li>
</ul></li><li>Attention to Detail: Meticulous attention to detail and data accuracy is essential for maintaining the integrity of reports and databases.</li></ul></div>

Senior Sales Analyst

Explore 128+ Data scientist in Giza this December. Find roles across top companies and apply now to boost your career.