data analyst

bi analyst

data engineer

financial analyst

research analyst

data analytics

Instabug

<div><p>We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.<br>
<br>
<br>
</p><p><b>What You'll Do
</b></p><ul><li>Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
</li><li>Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
</li><li>Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
</li><li>Champion Data Integrity: Establish standardized definitions for key metrics (like &quot;active users&quot; and &quot;enterprise acquisition&quot;) to ensure clarity and consistency across all teams.
</li><li>Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
</li>Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.<br>
<li>
<br>
<br>
</li></ul><p><b>What We're Looking For
</b></p><ul><li>A bachelor&rsquo;s degree in Data Analytics, Statistics, Business, or a related quantitative field.
</li><li>3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
</li><li>You are a SQL expert: You can write complex, optimized queries in your sleep.
</li><li>You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
</li><li>You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
</li><li>You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
</li>You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.<br>
<li>
<br>
<br>
</li></ul><p><b>Bonus Points If You Have:
</b></p><ul><li>Experience in a B2B SaaS environment.
</li><li>A background in Marketing, Product, or Sales operations.
</li><li>Experience with Python or R for statistical analysis.</li></ul></div>

Data Analytics

Luciq

<div>
 We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
  </li>
  <li>
   Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
  </li>
  <li>
   Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
  </li>
  <li>
   Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
  </li>
  <li>
   Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
  </li>
  <li>
   Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 <ul>
  <li>
   A bachelor&rsquo;s degree in Data Analytics, Statistics, Business, or a related quantitative field.
  </li>
  <li>
   3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
  </li>
  <li>
   You are a SQL expert: You can write complex, optimized queries in your sleep.
  </li>
  <li>
   You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
  </li>
  <li>
   You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
  </li>
  <li>
   You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
  </li>
  <li>
   You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in a B2B SaaS environment.
  </li>
  <li>
   A background in Marketing, Product, or Sales operations.
  </li>
  <li>
   Experience with Python or R for statistical analysis.
  </li>
 </ul>
</div>


International Data Group, Inc.

<div>Overview:
<p>
IDC is seeking a Data Analyst (senior) to join the enterprise infrastructure group. In this role, you will have the opportunity to work on several of IDC's enterprise hardware technologies (including servers, storage, and networking) infrastructure programs. The ideal candidate will be responsible for conducting comprehensive market research, analyzing data, and providing actionable insights to support our business strategies. The candidate should be able to demonstrate ability to interpret complex data, identify patterns, and draw meaningful insights by evaluating data from various sources, making sense of quantitative and qualitative information, and providing actionable recommendations.</p><p><br>
</p><p>Why IDC?<br>
IDC is the most respected global technology market research firm. We are changing the way the world thinks about the impact of technology on business and society. Our people, data, and analytics create global technology insights that accelerate customer success. IDC was recognized by the Institute of Industry Analyst Relations (IIAR&gt;) as the 2024 Analyst Firm of the Year for delivering critical, timely insights in coordinated efforts around the world, during a time when our customers faced unprecedented challenges.</p><p></p><p><b><i><br>
Recruitment Fraud Notice:</i></b><i> IDC would like to inform you that we conduct our formal communications via corporate email, our Applicant Tracking System iCIMS, LinkedIn messaging, or directly by phone. We do not use any other platform (including Telegram, WhatsApp, Signal, text, instant message, etc.) to communicate with prospective candidates. If you receive any communication outside of our formal communications channels, please ignore it and block the sender or caller. In addition, we do not ask candidates to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to represent a job offer, please report it as potential job fraud to law enforcement.</i></p>
Responsibilities:
<ul><li>Conduct primary market research to gather and analyze data for sales, trends, and market conditions.
</li><li>Develop, expand and maintain a network of contacts of key channel partners and vendors.</li><li>
Monitor and evaluate competitor products, pricing strategies, and market positioning.</li><li>
Ensure the timely and accurate delivery of all program deliverables.</li><li>
Prepare detailed reports and presentations to communicate findings to stakeholders.</li><li>
Develop market forecasts and predictive models by utilizing statistical methods and tools to anticipate future trends and consumer behavior.</li><li>
Maintain and update databases with relevant market data and research findings.
</li><li>Collaborate with cross-functional teams to develop customized vendor and market models. Including the consulting team to support custom projects when required.</li></ul>
Qualifications:
<ul><li>2+ years of market research experience</li><li>
Bachelor's degree or equivalent experience in Finance, Economics, or Statistics with a strong understanding of economic principles and their application to market analysis.</li><li>
Capable of designing and conducting primary research, including creating surveys, conducting interviews, and managing focus groups.</li><li>
Skilled in analyzing complex datasets and developing predictive models, with familiarity in statistical tools and methodologies.</li><li>
High level of accuracy and attention to detail in data analysis and report preparation.</li><li>
Strong English written and verbal communication skills to effectively present.</li><li>
Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving.</li><li>
Advanced Microsoft Excel, PowerPoint and Power BI skills required.</li><li>
Familiarity with GenAI tools such as Microsoft Copilot, OpenAI, or Gemini.</li><li>
Ability to use Python for data analysis, including libraries such as Pandas, NumPy, SciPy and Plotly are advantageous.</li><li>
Good understanding of enterprise hardware technologies and Strong understanding of networking infrastructure (Ethernet Switch, Router and Wireless LAN) will be an added advantage.</li></ul><div></div><div><i><br>
IDC, Inc. is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.</i></div></div><div></div>

Senior Analyst - Data & Analytics

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p><p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Senior Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>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.
<br>
<br>
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.
<p></p><p><b>Role Overview:
</b></p><p>We are looking for a highly motivated and technically proficient Data and Analytics Senior Associate to support the design and development of innovative technical solutions in the people domain. The ideal candidate will possess strong analytical skills, a solid foundation in data technologies, and a passion for leveraging data to drive business insights and performance.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li>Design, develop, and implement data and analytics solutions to meet business needs.
</li><li>Create and maintain dashboards and reports using Power BI.
</li><li>Apply machine learning, AI, and generative models to solve complex business problems.
</li><li>Perform data interrogation and transformation using tools such as SQL and Python.
</li><li>Collaborate with cross-functional teams to gather requirements and deliver actionable insights.
</li><li>Ensure data quality, governance, and compliance with internal standards.
</li><li>Communicate findings and recommendations effectively to stakeholders.
</li></ul><p></p><p><b>Required Qualifications and Experience:
</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Business Analytics, Data Science, Computer Science, or a related field.
</li><li>Technical proficiency (at least 2 years of hands-on experience) with Alteryx and Power BI.
</li><li>Strong knowledge of and/or basic proficiency in other technologies, including but not limited to Python, SQL, Microsoft Azure, Microsoft Power Apps, other machine learning, AI, generative models, data pipelines and analytics platforms.
</li><li>Experience in designing and developing technical solutions in the data and analytics area.
</li><li>Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
</li><li>Flexibility to work across time zones and support global clients.
</li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li>MSc in a relevant field.
</li><li>Familiarity with cloud platforms such as Azure, AWS, or GCP.
</li><li>Experience working in a collaborative, fast-paced environment.
</li></ul><p></p><p><b>Soft Skills:
</b></p><ul><li>Strong communication and interpersonal skills.
</li><li>Ability to work independently and collaboratively as part of a team.
</li><li>Excellent time management and organizational skills.
</li><li>Problem-solving mindset with attention to detail.
</li><li>Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
</li><li>Adaptability and resilience in a fast-paced environment.
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>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 {+ 17 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data Analytics - Senior Associate

The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt &bull; Greece &bull; Bulgaria
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><p><b>DEPARTMENT: Data &amp; Automation</b></p><p><b>
REPORTS TO: Analytics &amp; Insights Platform Manager</b></p><p>
We are looking for a highly skilled <b>Data Engineer</b> with <b>significant technical skills in Azure and business acumen</b> to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Analytics &amp; Insights 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.</p><p><b>
YOUR NEW KEY RESPONSIBILITIES:</b></p><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><p><b>
ARE THESE YOUR SECRET INGREDIENTS?</b></p><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;</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><p></p><p><b>
ABOUT YOUR NEW TEAM</b><br>
<br>
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.<br>
<br>
<b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b><br>
<br>
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</p></div><br>
<div></div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Bonus incentives</div>
</div></div><div><div><div>Medical Insurance</div>
</div></div><div><div><div>Free product quota</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Work from home</div></div></div></div></div></div></div>

Senior Data Engineer - Analytics & Insights

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><p><br>
Digital Solution Advisor:</p><p>
SAP Business Technology Platform</p><p><b>
We help the world run better</b></p><p>
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.</p><p></p><p><b><i><br>
Do you want to be part of a team that creates exciting demos and convince C-Levels to adopt Game Changer Solutions?</i></b></p><p>
If you are result-driven and creative, if success as a team is a key driver, if you love the frenzy that comes with victories, if you are looking for a multicultural work environment that rewards excellence and over-achievement, then feel free to apply.</p><p><br>
SAP Digital Hub seeks a <b>Solution Advisor / Presales Specialist</b> to demonstrate how SAP Data and Analytics portfolio meets customer needs. This position is based Cairo with Arabic &amp; English Language skills essential.</p><p><b>
EXPECTATIONS AND TASKS:</b></p><p><b>
Deal Support</b></p><p>
Compose and deliver superior sales presentations covering SAP and partner software solutions to prospective customer audiences. The presentations must articulate the sales message, differentiate SAP, and leave a strong and positive impression to audiences which can include senior company executives.</p><p>
Prepare and deliver value-based software demonstrations/presentations in support of sales cycles. Preparation includes personalization of materials to ensure delivery of a simple, appealing and compelling customer presentation.</p><p>
In advance of a demonstration or key presentation, conduct discovery sessions with representatives from the prospective customer in order to build relationships with the customer and understand their unique needs.</p><p>
Demonstrate deep knowledge of SAP solutions and appropriate industries in order to maintain credibility with prospective customers. Provide proof points with relevant customer stories.</p><p>
Support RFx completion in support of customer proposals.</p><p>
Ability to effectively present to customers &ldquo;remotely&rdquo; using virtual technologies</p><p>
Provide limited post-sale support to key customers primarily to the project/implementation team to ensure a smooth transition</p><p><b><br>
Demand Generation</b></p><p>
Support one-to-many sales and marketing events both on-site and remotely.</p><p>
Support Design Thinking workshops to promote new and innovative solutions for customers and prospects.<b>WORK EXPERIENCE:</b></p><ul><li>2-5 years of solution specialist or equivalent customer-facing experience in relevant areas. Presales experience is a plus.</li><li>Minimum 2 years of consulting and/or presales experience with topics such as SAP Business Technology Platform, SAP integration suite, SAP Business Data cloud, SAP Datasphere, or SAP BW, or a minimum of 4 years professional experience in similar technology stacks.</li><li>In-depth knowledge of data warehousing and analytics</li><li>Extensive knowledge/expertise on end-to-end processes and solution matching</li><li>Experience in sales and sales processes</li><li>Proficiency in presentation and communication skills</li><li>Experience in digital engagement with customers</li></ul><p><b><br>
EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES:</b></p><p>
Arabic: Native</p><p>
English: Fluent</p><p>
French is a plus</p><p>
Bachelor's degree or equivalent preferred but not essential</p><p>
Master's degree or equivalent: optiona</p><div><b>
Job Segment: </b>SAP, Cloud, ERP, Event Marketing, Pre-Sales, Technology, Marketing, Sales</div><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 436166 | Work Area: Presales | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Senior Digital Solutions Advisor - Data and Analytics

Giza Systems EG

<div><h4 class="jobSectionHeader"><b>Job Description</b></h4>
<p></p><div><p><b>The main purpose of the solution architect position is designing software solutions and technical leadership of software delivery teams and accountable for the technical acceptance of the delivered solution by the customer.<br>
</b><br>
<br>
<br>
Participates in vendors assessment and selection.
<br>
Participates with presales team in the proposed solution design in the bidding phase.
<br>
Prepares the &ldquo;<b>team</b>&rdquo; Scope of Work (SoW) proposal write-up for bidding in software projects.
<br>
Prepares &ldquo;<b>team</b>&rdquo; professional services sizing, assumptions, and pre-requisites for bidding in software projects.
<br>
Participates in customer demonstrations and presentations to discuss and convince the customer by our software solutions.
<br>
Attend requirement gathering workshops and prepares business requirements documents.
<br>
Prepares strategy documents of the project (i.e., configuration management strategy, migration strategy document, go-live strategy &hellip; etc.)</p>
<p>
Participates and review testing strategy document.
<br>
Prepares high level design documents including end-to-end solution architecture and integration scenarios with the help of the technical architects.</p>
<p>
Review / audit development team and subcontractor technical documentation and make sure of alignment with project scope and architecture guidelines.</p>
<ul>
<li>Proven experience as architect and engineering lead in Data &amp; Analytics stream.</li>
<li>In-depth understanding of data structure principles and data platforms.</li>
<li>Problem-solving attitude, solution mindset with implementation expertise.</li>
<li>Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization.</li>
<li>Well-versed with the end2end data management philosophies and governance processes.</li>
<li>Has pre-sales experience and have involved in RFP/RFI/RFQ processes.</li>
<li>Creative problem-solver with strong communication skills.</li>
<li>Excellent understanding of traditional and distributed computing paradigm.</li>
<li>Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts.</li>
<li>Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries.</li></ul><br>
<p></p>
<p>
Technical Skills:</p><br>
<p></p>
<ul>
<li>Data integration &ndash; ETL tools like Talend and Informatica. Ingestion mechanism like Flume &amp; Kafka</li></ul><br>
<p></p>
<ul>
<li>Data modelling &ndash; Dimensional &amp; transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage</li></ul><br>
<p></p>
<ul>
<li>Data visualization &ndash; Tools like Tableau, Power BI and Kibana</li></ul><br>
<p></p>
<ul>
<li>Master data management (MDM) &ndash; Concepts and expertise in tools like Informatica &amp; Talend MDM</li></ul><br>
<p></p>
<ul>
<li>Big data &ndash; Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE</li></ul><br>
<p></p>
<ul>
<li>Data processing frameworks &ndash; Spark &amp; Spark streaming</li></ul><br>
<p></p>
<ul>
<li>Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required</li></ul><br>
<p></p>
<ul>
<li>Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.</li></ul><br>
<p></p>
<ul>
<li>Experience in cloud data eco-system - AWS, Azure or GCP</li></ul><br>
<p></p>
<ul>
<li>Demonstrate strong analytical and problem solving capability</li></ul><br>
<p></p>
<ul>
<li>Good understanding of the data eco-system, both current and future data trends</li></ul></div><br>
<p></p>
<h4 class="jobSectionHeader"><b>Personal Skills</b></h4>
<p></p><div><ul><li>Preferred to be TOGAF certified</li>
<li>Proven experience as an architect and engineering lead in Data &amp; Analytics stream.</li>
<li>In-depth understanding of data structure principles and data platforms.</li>
<li>Problem-solving attitude, solution mindset with implementation expertise.</li>
<li>Working experience on Modern data platforms, which involves big data technologies, data management solutions, and data virtualization.</li>
<li>Well-versed in the end-to-end data management philosophies and governance processes.</li>
<li>Has pre-sales experience and has been involved in RFP/RFI/RFQ processes.</li>
<li>Creative problem-solver with strong communication skills.</li>
<li>Excellent understanding of traditional and distributed computing paradigm.</li>
<li>Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts.</li>
<li>Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries.</li>
</ul></div><p></p>
<h4 class="jobSectionHeader"><b>Technical Skills</b></h4>
<p></p><div><ul><li>Proven experience as architect and engineering lead in Data &amp; Analytics stream.
</li><li>In-depth understanding of data structure principles and data platforms.
</li><li>Problem-solving attitude, solution mindset with implementation expertise.
</li><li>Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization.
</li><li>Well-versed with the end2end data management philosophies and governance processes
</li><li>Has pre-sales experience and have involved in RFP/RFI/RFQ processes
</li><li>Creative problem-solver with strong communication skills
</li><li>Excellent understanding of traditional and distributed computing paradigm
</li><li>Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
</li><li>Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queriesTechnical Skills: Data integration - ETL tools like Talend and Informatica. Ingestion mechanism like Flume &amp; Kafka.
</li><li>Data modelling - Dimensional &amp; transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage.
</li><li>Data visualization - Tools like Tableau, Power BI and Kibana.
</li><li>Master data management (MDM) - Concepts and expertise in tools like Informatica &amp; Talend MDM
</li><li>Big data - Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.
</li></ul>
&bull; Data processing frameworks - Spark &amp; Spark streaming&bull; Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required
<br>
<ul><li>Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.
</li><li>Experience in cloud data eco-system - AWS, Azure or GCP
</li></ul>
&bull; Demonstrate strong analytical and problem solving capability&bull; Good understanding of the data eco-system, both current and future data trends.</div><p></p>
<h4 class="jobSectionHeader"><b>Education</b></h4>
<div><p>Bachelor's degree in Computer Science, Software Engineering, or a related field.</p></div></div><p></p>
<br><div><h4 class="jobSectionHeader"><b>Job Details</b></h4>
<div><div>Job Location</div>
<div>Cairo, Egypt</div>
</div><div><div>Company Industry</div>
<div>Integration</div>
</div><div><div>Company Type</div>
<div>Employer (Private Sector)</div>
</div><div><div>Job Role</div>
<div>Information Technology</div>
</div><div><div>Employment Status</div>
<div>Full time</div>
</div><div><div>Employment Type</div>
<div>Employee</div>
</div><div><div>Job Division</div>
<div>COO Office<br>
SW Engineering</div></div></div>
<br><div><h4 class="jobSectionHeader"><b>Preferred Candidate</b></h4>
<div><div>Career Level</div>
<div>Mid Career</div>
</div><div><div>Years of Experience</div>
<div>Min: 10 Max: 20</div>
</div><div><div>Residence Location</div>
<div>Egypt</div>
</div><div><div>Nationality</div>
<div>Egypt</div>
</div><div><div>Degree</div>
<div>Bachelor's degree</div></div></div>

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