financial analyst

research analyst

analyst

business analyst

business analytics analyst

data scientist

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;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&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo or Riyadh office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Business Intelligence, Data Warehouse, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

SDG Group Middle East

<div>
 
 💥
 
 Transform the Future with SDG: Global Leaders in Data &amp; AI
 
 💥
 
 
 
 
 
 SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry &amp; Business Domain experts, Business Scientist, AI architects &amp; AI Engineers, AI R&amp;D and AI Compliance &amp; Governance Experts.
 
 
 With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.
 
 
 Join SDG and be part of something extraordinary! Experience what it truly means to be an expert in Artificial Intelligence. If you're seeking to join a team fully specialized in Data, Analytics, and AI, we can't wait to meet you.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 ✍
 
 
 
 Build and Maintain Relationships
 
 : Establish trust with clients, gaining their confidence in our solutions. Work closely with them to understand their business needs and translate those into customized AI architecture solutions.
 
 
 
 Develop AI Advocates
 
 : Cultivate deep relationships with senior technical stakeholders, empowering them to become strong advocates for AI.
 
 
 
 Advise on AI Architectures
 
 : Leverage your expertise to guide clients on the most effective AI solutions tailored to their specific challenges.
 
 
 
 Collaborate with Sales
 
 : Provide technical expertise throughout the pre-sales process, helping to secure new business opportunities.
 
 
 
 Stay Ahead of Trends
 
 : Keep up with industry trends and emerging AI technologies to strategically position our offerings in the market.
 
 
 
 Be an AI Evangelist:
 
 Promote AI adoption by guiding clients and partners, contributing to publications, and building strong technical relationships.
 
 
 
 AI Innovative Roadmap Assessment:
 
 Design an innovation strategy aligned with business goals, incorporating partnership exploration, prototyping, governance, and immediate implementation of advanced AI solutions.
 
 
 
 AI Innovative Partnership Adoption:
 
 Leverage SDG's strategic partnerships to integrate advanced technologies such as platforms, models, and infrastructures, ensuring seamless adoption for business impact.
 
 
 
 Drive AI Portfolio Development
 
 : Communicate the value and capabilities of our AI solutions through presentations and hands-on demonstrations.
 
 
 
 
 
 
 What We Look For
 
 👇
 
 
 
 Education
 
 : Degree in mathematics, statistics, computer science, or a similar technical field, ideally with a focus on software engineering.
 
 
 
 Professional Experience
 
 : Proven experience as a Machine Learning Engineer or Architect.
 
 
 
 Technical Knowledge
 
 : Strong understanding of modern technologies foundational to machine learning and AI solutions in the cloud.
 
 
 
 Data Science Expertise
 
 : Theoretical and practical knowledge in data science fundamentals, solution lifecycles, and IAOps methodology.
 
 
 
 Tools Familiarity
 
 : Experience with IA tools such as IAFlow, KubeFlow, AWS SageMaker, and Azure IA Studio.
 
 
 
 Presentation Skills
 
 : Ability to confidently present to a range of stakeholders, including external clients, executives, IT leaders, and developers.
 
 
 
 
 
 
 Recommended Requirements
 
 👇
 
 
 
 Consulting Experience
 
 : Previous consulting work in Data &amp; Analytics or AI projects is highly valued.
 
 
 
 Data Architecture Proficiency
 
 : Strong grasp of data architecture and information modeling strategies.
 
 
 
 Generative AI Knowledge
 
 : Experience with generative AI models, including Large Language Models (LLMs), neural networks, and recommendation systems.
 
 
 
 Technical Expertise
 
 : Familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI&rsquo;s generative AI tools.
 
 
 
 Certifications
 
 : Credentials in cloud platforms or AI architecture are a plus.
 
 
 
 
 
 
 About SDG Group and the Role
 
 🚀
 
 
 SDG Group is a global consulting firm, fully dedicated to Data, Analytics, and AI solutions. We offer end-to-end support across the entire data value chain, providing tailored career paths for those who wish to excel in the world of data. You&rsquo;ll have the chance to work on impactful projects with industry leaders, helping to drive real change.
 
</div>

AI Tech Presales

Microsoft

<div>
 Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.
 
 
 We are seeking a
 
 Senior Applied Scientist
 
 who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage state-of-art machine learning techniques to provide best personalized experience to end users.
 </li>
 <li>
 Originate, implement, and iterate on machine learning features &amp; models to keep improving our product quality.
 </li>
 <li>
 Closely collaborate with different teams within Microsoft to expose best personalized contents to end users, enable agile development &amp; experiments, deliver cross-team impact.
 </li>
 <li>
 Team lead and mentor resources across projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 3+ years of industry experiences in machine learning or Natural Language Processing.
 </li>
 <li>
 Experience with LLMs (prompting, fine tuning, deployment).
 </li>
 <li>
 Experience with coding including programming language, including, but not limited to, Python, C, C++, C#, Java, JavaScript.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated ability to be productive and effective in a highly collaborative environment.
 </li>
 <li>
 Experience in Big Data machine learning with Cosmos/Scope/Spark/.
 </li>
 <li>
 Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.
 
 
 </li>
 </ul>
 #MicrosoftAI #LLM #Shopping #Personalization #FineTuning #Prompting
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied Scientist

Axis

<div>
 
 
 About Axis
 
 
 
 We believe financial services should be more accessible, that&rsquo;s why we started Axis. A fully interoperable mobile wallet which enables users to send and receive money from any mobile wallet in Egypt, pay their bills, buy anything online with a virtual Visa card, or scan any QR code to pay for anything in-person.Axis empowers small businesses with simplified digital payments to compete &amp; grow. Our digital banking platform enables small businesses to seamlessly manage payments to employees and suppliers. Small businesses can now send salaries, reimbursements and instantly pay their suppliers on any mobile wallet in Egypt.
 
 
 
 
 
 
 Overview of the Role
 
 
 
 We are looking for a
 
 Mid-Level Data Analyst
 
 to transform complex datasets into actionable insights that drive smarter business decisions. In this role, you will work closely with cross-functional teams&mdash;Product, Marketing, Finance, and Operations&mdash;to analyze performance metrics, design dashboards, and recommend data-driven improvements that fuel growth.
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 <ul>
 <li>
 Collect, clean, and validate large datasets from multiple sources (SQL databases, APIs, spreadsheets).
 </li>
 <li>
 Develop and maintain dashboards and reports (Tableau, Power BI, Looker, or Google Data Studio) for key stakeholders.
 </li>
 <li>
 Perform exploratory data analysis (EDA) and statistical modeling to identify trends, correlations, and anomalies.
 </li>
 <li>
 Define KPIs and measurement frameworks in partnership with business teams.
 </li>
 <li>
 Support A/B testing initiatives with pre-test planning and post-test evaluation.
 </li>
 <li>
 Automate recurring reporting and analysis pipelines using SQL, Python, or R.
 </li>
 <li>
 Communicate insights through clear visualizations and presentations tailored to non-technical audiences.
 </li>
 <li>
 Ensure data quality, integrity, and compliance with internal standards and privacy regulations.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience as a Data Analyst or in a similar analytics role.
 </li>
 <li>
 Proficiency in SQL and at least one scripting language (Python or R).
 </li>
 <li>
 Hands-on experience with BI tools (e.g., Tableau, Power BI, Looker).
 </li>
 <li>
 Strong knowledge of data visualization best practices.
 </li>
 <li>
 Familiarity with statistical methods, hypothesis testing, and A/B testing.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, GCP, or Azure).
 </li>
 <li>
 Familiarity with ETL tools or workflow orchestration (e.g., Airflow).
 </li>
 <li>
 Understanding of version control systems (e.g., Git).
 </li>
 <li>
 Exposure to predictive analytics or machine learning fundamentals.
 </li>
 </ul>
 
 
 
 
 
 Perks of working @ Axis
 
 
 <ul>
 <li>
 Comprehensive medical insurance for you and your family.
 </li>
 <li>
 Life insurance coverage.
 </li>
 <li>
 Gym Subscription.
 </li>
 <li>
 Flexible paid time off (PTO) to support work-life balance.
 </li>
 <li>
 Inclusive parental leave policy (extended maternity &amp; paternity leave).
 </li>
 </ul>
</div>

Data Analyst

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