data engineer

senior data scientist

data scientist

big data engineer

business analyst

data analyst

Riseup Group

Job Title for the new hire: Data AnalystJob Description:In this role, you will turn sustainability and construction data into clear insights that help us reduce carbon emissions and improve environmental performance across our new build portfolio. You will collect, validate, and manage site-level data, including embodied carbon, energy use, waste, and water metrics build and maintain dashboards and reports to support monthly, quarterly, and annual sustainability tracking, and support financial and carbon savings analyses for initiatives such as solar, low-carbon materials, and carbon reporting. You will also automate recurring reporting tasks to improve team efficiency and work closely with Design &amp; Construction and the data teams to ensure data accuracy. The ideal candidate has experience in data analysis and reporting, proficiency in data and dashboard tools, AI tools, data automation and code writing strong attention to detail, and the ability to present findings clearly to non-technical stakeholders with an interest in sustainability or construction being a plus.Technical Assessment needed: YesExpected deliverables:- Data Management1. Maintain and update site-level sustainability data (embodied carbon, energy, waste, water) across Smartsheet, Asana and QuickSight.2. Ensure data accuracy, completeness, and consistency across all active new build projects.- Data Automation1. Automate recurring data workflows within existing reporting tools.2. Reduce manual data entry and improve timeliness of reporting outputs.- Data Analysis, Input &amp; Reporting1. Produce monthly, quarterly, and annual sustainability reports (MBR, QBR, carbon footprint, flash reports)2. Maintain portfolio-level dashboards and scorecards for cross-functional visibility.Required qualifications/certifications:- Bachelor's degree in Engineering (Civil, Mechanical, Environmental, or related discipline) with hands-on experience in data analysis- 2&ndash;4 years of experience in data management, analysis, reporting, or a related engineering fields.- Proficiency in data and BI tools with experience building and maintaining dashboards, data sheets.- Strong coding and scripting skills ability to write and maintain scripts for data processing, automation, and reporting (Python, SQL, or equivalent)Software / programs / tools: Power BI, SQL, python, smartsheet, Tableau, Microsoft Office Suite, QuickSight Required Years of Experience: 2-4Start date: Apr 1, 2026Job Type: Full-timeApplication Question(s):<ul><li>Rate your English from 1 to 5.</li><li>How many years of experience do you have as a Data Analyst?</li><li>What is your REQUESTED NET salary? The company only offers social and medical insurance.</li><li>How long is your notice period?</li><li>Do you have solid experience in Power BI, SQL, python, smartsheet, Tableau, Microsoft Office Suite, QuickSight? Rate your strength in each.</li></ul>Work Location: Hybrid remote in Maadi

Data Analyst

YO IT CONSULTING

<div>Join our Business Intelligence Analyst Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests.
Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.
<div><div>What we're looking for:
<ul><li>Professional experience in SQL &amp; data querying, data visualization (Tableau/Power BI), data modeling &amp; warehousing
</li><li>Strong communication skills
</li><li>Ability to work independently in a remote environment
</li></ul>How it works:
This is not a specific job posting. By applying, you're joining our Business Intelligence Analyst talent network.
<ul><li>Apply once: Complete your profile by uploading your resume and confirming your work location.
</li><li>Get verified: We review your credentials and approve qualified experts.
</li><li>Stay connected: When projects need Business Intelligence Analyst expertise, we match you to opportunities based on your expertise and project needs.
</li><li>Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.
</li></ul>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
</div></div><div><div><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Nano Health Suite

Key Responsibilities<ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.</li><li>Analyze large datasets to identify trends, patterns, and actionable insights.</li><li>Develop dashboards and reports using BI tools (e.g., Power BI, Tableau, etc.).</li><li>Communicate findings to stakeholders through clear data visualizations and presentations.</li><li>Collaborate with business units to understand data needs and provide tailored solutions.</li><li>Monitor and track KPIs to support decision-making and performance improvement.</li><li>Document processes, methodologies, and findings for transparency and repeatability.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.</li><li>Proven experience (1&ndash;3+ years) as a Data Analyst, Business Analyst, or similar role.</li><li>Strong proficiency in SQL and relational databases.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI or equivalent).</li><li>Solid understanding of statistical methods and data modeling.</li><li>Proficiency in Excel (pivot tables, advanced formulas, macros).</li><li>Familiarity with Python, R, or other data analysis programming languages is a plus.</li><li>Experience working in Agile/Scrum environments and collaborating with cross-functional teams.</li><li>Hands-on experience with Azure DevOps for project tracking and work management.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication skills with the ability to explain technical results to non-technical stakeholders.</li></ul>Preferred Skills<ul><li>Knowledge of data warehousing concepts.</li><li>Experience with ETL processes and data pipelines..</li><li>Understanding of business operations in healthcare.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Work From Home</li></ul>Experience:<ul><li>IT and Health Care : 2 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>Willingness to travel:<ul><li>100% (Required)</li></ul>Work Location: In person

<div>
 
 
 Job Summary
 
 
 
 
 
 
 We are seeking a Data Analyst to drive operational efficiency through advanced Excel modeling and automated reporting. You will be responsible for building the tools that predict workload, manage resources, and track performance in real-time.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 1. Operational Modeling &amp; Forecasting
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain complex
 
 forecasting models
 
 in Excel to predict volume, headcount requirements, and resource allocation.
 </li>
 <li>
 Utilize
 
 Erlang-C
 
 and
 
 Inverse Erlang
 
 logic within Excel to determine optimal staffing levels and service level targets.
 </li>
 <li>
 Create "What-If" scenario builders to help leadership understand the impact of changing variables
 </li>
 </ul>
 
 
 
 
 
 2. Data Engineering &amp; Transformation (Power Query)
 
 
 
 
 
 <ul>
 <li>
 Build robust
 
 ETL (Extract, Transform, Load)
 
 processes using
 
 Power Query
 
 to pull data from disparate sources (CSV, SQL, Web) into a clean, unified Excel Data Model.
 </li>
 <li>
 Automate the "data cleaning" cycle to ensure that 90% of your time is spent on analysis rather than manual data entry.
 </li>
 <li>
 Manage many-to-many relationships and complex measures using
 
 Power Pivot
 
 and
 
 DAX
 
 (Data Analysis Expressions).
 </li>
 </ul>
 
 
 
 
 
 3. Advanced Automation (VBA &amp; Office Scripts)
 
 
 
 
 
 <ul>
 <li>
 Develop
 
 VBA Macros
 
 or
 
 Office Scripts
 
 to automate repetitive tasks, such as generating personalized agent scorecards or distributing daily PDF reports via Outlook.
 </li>
 <li>
 Build "Toolkits" for other departments&mdash;creating user-friendly Excel interfaces with buttons, forms, and automated validation.
 </li>
 </ul>
 
 
 
 
 
 4. Performance Diagnostics &amp; Visualization
 
 
 
 
 
 <ul>
 <li>
 Design high-impact,
 
 interactive Excel Dashboards
 
 using Slicers, Form Controls, and Dynamic Arrays.
 </li>
 <li>
 Identify root causes of performance dips through deep-dive analysis (e.g., Variance Analysis, Correlation, and Trend Mapping).
 </li>
 <li>
 Translate technical data into actionable executive summaries for weekly and monthly business reviews.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 Technical Mastery
 
 
 
 
 
 <ul>
 <li>
 
 Expert Excel:
 
 Mastery of
 
 Power Query
 
 (M Language) and
 
 Power Pivot
 
 (DAX) is non-negotiable.
 </li>
 <li>
 
 Logic &amp; Formulas:
 
 Expert in
 
 Dynamic Arrays
 
 (FILTER, UNIQUE, LAMBDA) and advanced lookups (XLOOKUP, INDEX/MATCH).
 </li>
 <li>
 
 Automation:
 
 Proficiency in writing/debugging
 
 VBA code
 
 or
 
 Office Scripts
 
 to streamline workflows.
 </li>
 <li>
 
 Data Integration:
 
 Experience connecting Excel directly to external databases or APIs.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 0 to 2 years of experience in Data Analytics, Workforce Management, or Production Planning.
 </li>
 <li>
 Prior experience in a high-volume environment (Contact Centers, Logistics, or Supply Chain) where real-time data is critical.
 </li>
 </ul>
 
 
</div>

Coptic Orphans

<div>Senior Data Analyst 
Purpose of the Job
The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives. 
Essential Functions and Responsibilities<ul><li>
Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.</li><li>
Lead the design, implementation, and deployment of predictive and prescriptive models.</li><li>
Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.</li><li>
Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.</li><li>
Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.</li><li>
Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.</li><li>
Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.</li><li>
Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.</li><li>
Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.</li><li>
Provide guidance to junior analysts and contribute to building data literacy across teams.</li><li>
Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.</li></ul> 
Required Education, Experience, Knowledge, and Skills<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.</li><li>
3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.</li><li>
Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.</li><li>
Demonstrated knowledge of ETL frameworks and data warehousing principles.</li><li>
Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.</li><li>
Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.</li><li>
Proven ability to design, implement, and deploy predictive and prescriptive models.</li><li>
Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.</li><li>
Strong experience with data visualization tools (Power BI, Tableau, or similar).</li><li>
Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.</li><li>
Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.</li><li>
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.</li><li>
Excellent written and verbal communication skills, with confidence in presenting to directors &amp; managers.</li><li>
Ability to translate complex data into clear, actionable insights for diverse audiences.</li><li>
Collaborative mindset and willingness to share knowledge with team members.</li><li>
Proficient in both written and spoken English.</li><li>
Exceptional analytical, problem-solving, and critical-thinking skills.</li><li>
Ability to manage multiple priorities and deliver high-quality work independently.</li></ul> 
Travel and Working Requirements
<ul><li>Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</li><li>Occasional national or international travel may be required.</li><li>
Working out of the official hours and on weekends may be required.</li></ul></div>

Senior Data Analyst

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "Senior Data Analyst".
 
 
 
 
 
 
 Job purpose:
 
 
 
 To structure and automate organizational data to ensure accuracy, consistency, and alignment across systems, while transforming data into actionable insights that drive key business metrics, optimize costs, and increase overall company value. The role also supports the identification and enablement of data monetization opportunities, contributing to the development of new data-driven revenue streams.
 
 
 
 
 
 
 Key accountabilities:
 
 
 <ul>
 <li>
 Creating reports and developing tools and processes to automate reports.
 </li>
 <li>
 Developing ML algorithms to analyze huge volumes of historical data to make predictions.
 </li>
 <li>
 Analyzing large amounts of data relating to sales, customers or financial performance.
 </li>
 <li>
 Using Structured Query Language (SQL), Tableau Prep and Python to extract data.
 </li>
 <li>
 Aligning reports to business objectives and key performance indicators.
 </li>
 <li>
 Collaborating with other business areas and leaders to identify reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 5-7+ Years of experience
 </li>
 <li>
 Minimum bachelor&rsquo;s degree in data or a numerate subject
 </li>
 <li>
 Functional Knowledge (Data Analytical &amp; Strong troubleshooting and report writing abilities)
 </li>
 <li>
 Business Expertise (Business, Market &amp; Industry Knowledge)
 </li>
 <li>
 Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

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