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sustainability data analyst Jobs in Cairo Egypt

sustainability data analyst

senior data analyst

TAQA Water

<div>
 
 Job Purpose
 
 
 
 About the job Senior Data Analyst (Material Management)
 
 
 The Senior Data Analytics Specialist supports procurement and supply chain operations by analyzing large datasets, identifying insights, and driving data-based decision-making. This role ensures that purchasing strategies, supplier performance, inventory management, and cost optimization are guided by accurate, actionable data.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Analysis &amp; Reporting
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze procurement and supply chain data from ERP systems (e.g., SAP, Oracle, Power BI, etc.).
 </li>
 <li>
 Develop dashboards and reports to track KPIs such as supplier performance, cost savings, lead times, and stock turnover.
 </li>
 <li>
 Identify trends, patterns, and anomalies to support strategic sourcing and demand planning.
 </li>
 <li>
 Provide ad hoc and periodic analytical support to procurement and logistics teams.
 
 
 </li>
 </ul>
 
 Process Optimization
 
 
 
 <ul>
 <li>
 Evaluate procurement cycles, inventory levels, and supplier reliability to recommend process improvements.
 </li>
 <li>
 Use predictive analytics and forecasting models to optimize inventory and demand planning.
 </li>
 <li>
 Support initiatives for cost reduction and operational efficiency through data-driven insights.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Business Support
 
 
 
 <ul>
 <li>
 Partner with procurement, supply chain, and finance teams to define data requirements and business KPIs.
 </li>
 <li>
 Support supplier evaluation, category strategy, and risk management through analytical input.
 </li>
 <li>
 Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Data Management &amp; Systems
 
 
 
 <ul>
 <li>
 Ensure data accuracy, integrity, and consistency across all procurement and logistics systems.
 </li>
 <li>
 Work with IT and data engineering teams to automate data pipelines and reporting tools.
 </li>
 <li>
 Maintain and enhance business intelligence dashboards (e.g., Power BI, Tableau, Qlik).
 
 
 </li>
 </ul>
 
 Qualifications &amp; Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelors degree in Data Science, Statistics, Supply Chain Management, Engineering, or a related field. Masters degree is a plus.
 </li>
 <li>
 Experience: 5+ years of experience in data analytics within procurement or supply chain.
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Advanced Excel and SQL skills.
 </li>
 <li>
 Proficiency in BI tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Experience with ERP systems (SAP, Oracle, or similar).
 </li>
 <li>
 Strong understanding of statistical analysis, forecasting, and data visualization.
 </li>
 </ul>
</div>

Senior Data Analyst (Material Management)

HakTrak Networks

<div>
 
 
 Company Description
 
 
 
 HakTrak Networks is a pioneering company in the Middle East, specializing in the design, construction, and application of Artificial Intelligence (AI) and Machine Learning in cybersecurity. We offer innovative security solutions to businesses of all sizes through our cutting-edge technology and seasoned professionals. Our comprehensive services protect systems from evolving cyber threats, and we provide training to help enterprises manage cybersecurity risks. With extensive expertise, HakTrak Networks is well-equipped to handle complex security challenges and safeguard critical data and infrastructure.
 
 
 
 
 
 Role Description
 
 
 This is a full-time remote role for a MDR Analyst . The MDR Analyst you will monitor, investigate, and respond to advanced threats across client environments. You will use MDR/EDR/XDR platforms, threat intelligence, and log analysis to detect suspicious activity, investigate incidents, and recommend or execute containment measures. This role is ideal for security professionals seeking hands-on exposure to
 
 threat hunting, incident response, and continuous improvement of detection capabilities
 
 .
 
 
 
 
 
 Qualifications
 
 
 &bull; Monitor
 
 MDR/EDR/XDR platforms
 
 for security alerts across client environments.
 
 
 &bull; Investigate suspicious activities and analyze logs from endpoints, networks, and cloud services.
 
 
 &bull; Perform
 
 threat hunting
 
 using IOCs, TTPs, and MITRE ATT&amp;CK mapping.
 
 
 &bull; Correlate data from multiple sources (SIEM, EDR, Threat Intel feeds) to identify attacks.
 
 
 &bull; Provide
 
 containment &amp; remediation guidance
 
 (isolation, blocking, patching).
 
 
 &bull; Escalate confirmed incidents and collaborate with Incident Response teams.
 
 
 &bull; Develop, refine, and update
 
 detection rules &amp; playbooks
 
 to improve MDR effectiveness.
 
 
 &bull; Assist clients with
 
 root cause analysis
 
 and post-incident reporting.
 
 
 &bull; Participate in
 
 red/blue/purple team exercises
 
 to strengthen detection capabilities.
 
 
 &bull; Provide
 
 client-facing reports
 
 and recommendations in clear, business-oriented language.
 
 
 &bull; Strong Analytical Skills for assessing system performance and identifying potential issues
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or a related field
 
 
 &bull; Hands-on experience with
 
 EDR/XDR tools
 
 (CrowdStrike, SentinelOne, Carbon Black, Defender for Endpoint, etc.).
 
 
 &bull; Knowledge of
 
 cloud security monitoring
 
 (AWS GuardDuty, Azure Security Center, Google Chronicle).
 
 
 &bull; Proficiency with
 
 SIEM platforms
 
 (Splunk, QRadar, Microsoft Sentinel, ELK).
 
 
 &bull; Knowledge of
 
 incident response lifecycle
 
 and forensic investigation basics.
 
 
 &bull; Understanding of
 
 attack frameworks
 
 (MITRE ATT&amp;CK, Cyber Kill Chain, NIST CSF).
 
 
 &bull; Ability to create and tune detection rules (Sigma, YARA, Snort/Suricata).
 
 
 &bull; Scripting/automation skills (Python, PowerShell, Bash) to assist with hunting &amp; response.
 
 
 &bull; Experience working in a
 
 24/7 SOC/MDR environment
 
 is a plus.
 
 
 &bull; Ability to work independently in a remote setting
 
 
 &bull; Excellent problem-solving, analytical, and
 
 client communication skills
 
 .
 
 
 &bull; Willing to relocate to GCC Countries
 
 
 
 
 
 Certifications (preferred): CompTIA Security+, CySA+, CEH, CCNA CyberOps, Microsoft SC-200, Splunk Certified User/Analyst.
 
 
 
 
 
 Send your resume to hiring@haktraknetworks.com
 
</div>

Sr MDR Analyst

Protiviti Middle East Member Firm

<div>
 
 
 Job Description &ndash; Senior Data Scientist / AI Engineer (Consulting Role)
 
 
 
 
 
 
 We are looking for a highly experienced Senior Data Scientist / AI Engineer with a proven track record (5+ years) in designing, deploying, and optimizing AI-driven solutions on Microsoft Azure. The candidate must bring deep expertise in MLOps, Responsible AI, and Generative AI, with extensive hands-on experience in building scalable, production-grade AI systems that drive business impact. This is an exciting opportunity to work in a consulting environment, collaborating with industry leaders, supporting pre-sales efforts, and mentoring junior team members while delivering impactful AI solutions across diverse industries. This role is based in Egypt (Cairo), with the expectation of traveling across Middle Eastern client locations (KSA, UAE, Qatar) as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Support clients in ideating &amp; prioritizing various business problems that can be solved using AI solutions
 </li>
 <li>
 AI Solution Development &amp; Deployment - Lead hands-on end-to-end AI/ML projects implementation, ensuring scalability, performance, and business impact.
 </li>
 <li>
 Collaborate closely with cross-functional teams and clients to understand their business objectives, gather relevant data, and design solutions that drive actionable insights.
 </li>
 <li>
 Work closely with clients and stakeholders to understand business challenges and provide AI-driven recommendations.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 <li>
 Stay updated with the latest advancements in AI, Generative AI, and MLOps, incorporating best practices into client projects, and support publishing of thought leadership initiatives
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ol>
 <li>
 
 Education &amp; Experience
 
 </li>
 </ol>
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Must have worked on at least three of the following use cases types &ndash; Natural Language Processing (NLP) , Predictive Modeling &amp; Classification , Time-Series Forecasting , Simulation &amp; Optimization , Computer Vision , Graph Analytics, Recommender Systems, Anomaly Detection
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Proven experience of implementing at least one Generative AI use case
 </li>
 </ul>
 
 
 
 
 
 2.Technical Expertise
 
 
 
 
 
 <ul>
 <li>
 Strong programming skills in Python, R, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 <li>
 Hands-on experience in GenAI Implementation or Agentic AI implementation will be preferred
 </li>
 </ul>
 
 
 
 
 
 3.Preferred Industry Experience
 
 
 
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Oil &amp; Gas, Financial Services, Manufacturing, Healthcare, Real Estate , Tourism , Government/Citizen Services , Mobility , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 4.Consulting &amp; Leadership Skills
 
 
 
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist Senior Consultant

Money Fellows

<div>
 
 Are You Ready to Take the Lead in Data-Driven Insights?
 
 
 
 At Money Fellows, we're redefining the FinTech landscape, and we need a passionate and innovative
 
 Senior Business Intelligence Engineer
 
 to join our enthusiastic team!
 
 
 In this exciting role, you will:
 
 
 <ul>
 <li>
 Transform Data into Stories: Dive into data analysis to uncover trends and insights that will drive strategic decisions for the company
 </li>
 <li>
 Craft Stunning Dashboards: Design and maintain visually engaging dashboards that empower our stakeholders with the information they need at their fingertips
 </li>
 <li>
 Collaborate Across Departments: Engage with product, marketing, and operations teams to understand their data needs and tailor solutions that amplify their success
 </li>
 <li>
 Build Your Legacy: Play an essential role in shaping our BI practices, influencing key business directions through data storytelling
 
 
 </li>
 </ul>
 
 At Money Fellows, we celebrate creativity and initiative, and we can't wait to see what you will bring to the table!
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 3 to 5 years of experience in Business Intelligence or Data Analytics with a strong focus on BI tools
 </li>
 <li>
 Bachelor's degree in Computer Science, Mathematics, or a related field; Master's degree is a plus!
 </li>
 <li>
 Expertise in BI tools such as Power BI with DAX skills
 </li>
 <li>
 Strong SQL skills and proficiency in data modeling
 </li>
 <li>
 Experience in leading BI projects and working collaboratively with various stakeholders
 </li>
 <li>
 Excellent communication skills, with the ability to translate complex data into actionable insights
 </li>
 <li>
 Proficiency in programming languages like Python or R is a plus
 </li>
 <li>
 A growth mindset with a passion for continuous learning and improvement
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We care about your well-being from the start, whether you're a candidate or an employee as we embrace the concept of Psychological Safety.
 
 
 <ul>
 <li>
 Mental Well-being: We prioritize your mental health through open-door policies, skip-level meetings, and thoughtfully designed workspaces where you feel heard and valued
 </li>
 <li>
 Physical Health: Stay active and healthy with our gym allowance, healthy office snacks, and monthly nutritionist consultations.
 </li>
 <li>
 Social Wellness: Stay connected through fun team-building activities, engaging town halls, and collaborative workspaces that spark innovation.
 </li>
 <li>
 Financial Empowerment: Competitive salaries, pension plans, and exclusive employee discounts on our Circles help you achieve financial stability.
 </li>
 <li>
 Growth Opportunities: Take advantage of workshops, mobility programs, and internal transfers to advance your career and thrive with us.
 
 
 </li>
 </ul>
 Join us and grow in a community that supports every aspect of your wellness!
</div>

Senior Data Analytics Engineer

<div>
 
 We help the world run better
 
 
 
 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.
 
 
 
 Digital Solution Advisor
 
 
 
 SAP Business Technology Platform
 
 
 
 We help the world run better
 
 
 
 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.
 
 
 
 
 Do you want to be part of a team that creates exciting demos and convince C-Levels to adopt Game Changer Solutions?
 
 
 
 
 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.
 
 
 SAP Digital Hub seeks a
 
 Solution Advisor / Presales Specialist
 
 to demonstrate how SAP Data and Analytics portfolio meets customer needs. This position is based Cairo with Arabic &amp; English Language skills essential.
 
 
 
 Expectations And Tasks
 
 
 
 
 Deal Support
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 Demonstrate deep knowledge of SAP solutions and appropriate industries in order to maintain credibility with prospective customers. Provide proof points with relevant customer stories.
 
 
 Support RFx completion in support of customer proposals.
 
 
 Ability to effectively present to customers &ldquo;remotely&rdquo; using virtual technologies
 
 
 Provide limited post-sale support to key customers primarily to the project/implementation team to ensure a smooth transition
 
 
 
 Demand Generation
 
 
 
 Support one-to-many sales and marketing events both on-site and remotely.
 
 
 Support Design Thinking workshops to promote new and innovative solutions for customers and prospects.
 
 WORK EXPERIENCE:
 
 
 
 <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>
 
 Education And Qualification / Skills And Competencies
 
 
 
 Arabic: Native
 
 
 English: Fluent
 
 
 French is a plus
 
 
 
 Bachelor's Degree Or Equivalent Preferred But Not Essential
 
 
 
 Master's degree or equivalent: optiona
 
 
 
 Job Segment:
 
 SAP, Cloud, ERP, Event Marketing, Pre-Sales, Technology, Marketing, Sales
 
 
 
 Bring out your best
 
 
 
 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.
 
 
 
 We win with inclusion
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 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.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 436166 | Work Area: Presales | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

Senior Digital Solutions Advisor - Data and Analytics

elmenus

<div>
 
 Job Description
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and implement performance measurement frameworks and KPIs.
 </li>
 <li>
 Use SQL and Python for data extraction, manipulation, and automation of performance reporting.
 </li>
 <li>
 Build and maintain advanced Excel dashboards and reports to monitor performance and visualize key metrics.
 </li>
 <li>
 Conduct in-depth analyses to identify trends, inefficiencies, and improvement opportunities.
 </li>
 <li>
 Collaborate with cross-functional teams to understand performance gaps and propose data-driven solutions.
 </li>
 <li>
 Prepare and present dashboards, reports, and insights to management for decision-making.
 </li>
 <li>
 Support continuous improvement by benchmarking against best practices and industry standards.
 
 
 </li>
 </ul>
 Job requirements
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree.
 </li>
 <li>
 2-3 years of experience in performance analysis, data analytics, or process optimization.
 </li>
 <li>
 Strong proficiency in SQL, Python, and Excel (advanced formulas, pivot tables, and visualization).
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 High attention to detail and focus on data accuracy.
 
 
 </li>
 </ul>
 
 Additional Preferred Skills
 
 
 
 <ul>
 <li>
 Familiarity with performance management systems or BI tools (e.g., Metabase, Power BI, Tableau).
 </li>
 <li>
 Knowledge of operational and financial KPIs.
 </li>
 </ul>
</div>

Senior Performance Analyst

Tabby | تابي

<div>
 
 
 Department:
 
 Collection
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 
 Job Summary
 
 
 We are looking for a Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Analysis &amp; RCA
 
 <ul>
 <li>
 Perform deep analysis on business datasets to identify trends, patterns, and anomalies.
 </li>
 <li>
 Translate raw data into clear, actionable insights for stakeholders.
 </li>
 </ul>
 
 SQL &amp; Data Extraction
 
 <ul>
 <li>
 Write highly optimized SQL queries for data extraction and manipulation.
 </li>
 <li>
 Ensure query performance is efficient even with large datasets.
 </li>
 <li>
 Act as the go-to expert in SQL best practices within the team.
 </li>
 </ul>
 
 Reporting &amp; Visualization
 
 <ul>
 <li>
 Build and maintain automated dashboards and reports to track business KPIs.
 </li>
 <li>
 Use tools like Tableau, Power BI, or Looker for data visualization.
 </li>
 <li>
 Create ad-hoc reports to answer urgent business questions.
 </li>
 </ul>
 
 Data Quality &amp; Management
 
 <ul>
 <li>
 Ensure accuracy, consistency, and reliability of data used for analysis.
 </li>
 <li>
 Collaborate with data engineering teams to maintain robust data pipelines.
 </li>
 <li>
 Proactively identify and resolve data quality issues.
 </li>
 </ul>
 
 Stakeholder Communication
 
 <ul>
 <li>
 Present findings in a clear and concise manner to both technical and non-technical audiences.
 </li>
 <li>
 Support senior management with data-driven decision-making.
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
 </li>
 <li>
 2-4 years of experience in data analytics or business intelligence.
 </li>
 <li>
 Strong SQL skills for analysis and reporting.
 </li>
 <li>
 Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
 </li>
 <li>
 Familiarity with Python or R for data manipulation/analysis (preferred).
 </li>
 <li>
 Excellent problem-solving skills and a structured, analytical mindset.
 </li>
 <li>
 Strong communication skills for explaining technical results to non-technical stakeholders.
 
 
 </li>
 </ul>
</div>

Data Analyst

Explore 560+ Senior data analyst in Cairo Egypt this November. Find roles across top companies and apply now to boost your career.