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data analytics and insights analyst Jobs in Cairo

data analytics and insights analyst

data scientist / senior machine learning engineer Jobs in Cairo

data scientist / senior machine learning engineer

senior data analyst

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Internal Firm Services
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 IFS - Finance
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, we measure success by our ability to create the value that our
 
 
 clients and our people are looking for. Our reputation lies in building
 
 
 lasting relationships with our clients and a focus on delivering value in all
 
 
 we do. We&rsquo;re a network of firms in 152 countries with more than 328,000
 
 
 
 People Who Are Committed To Delivering World-class Capabilities And
 
 
 
 quality in assurance, tax and advisory services
 
 
 The Procurement analyst is responsible for the research, provision and
 
 
 analysis of spend, supplier and market data for supporting procurement
 
 
 operations and reporting.
 
 
 You will be working in the PwC Delivery Centre as part of a PwC team
 
 
 providing procurement services for PwC clients.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Data Review and Validation
 </li>
 <li>
 Review and validate customer data and results as part of the
 </li>
 <li>
 supply chain risk analysis and regular upload/update of
 </li>
 <li>
 customer data in the system
 </li>
 <li>
 Checking the data in external databases, e.g. searching for
 </li>
 <li>
 certificates in the relevant certificate databases
 
 
 </li>
 </ul>
 
 Risk Analysis and Development
 
 
 
 <ul>
 <li>
 Participation in the creation of the risk analysis and subsequent
 </li>
 <li>
 preparation of the results in the Excel template
 </li>
 <li>
 Further development of the risk analysis into more detailed
 </li>
 <li>
 analysis steps and reporting visualizations
 
 
 </li>
 </ul>
 
 Reporting and Visualization
 
 
 
 <ul>
 <li>
 Creation of reporting dashboards
 
 
 </li>
 </ul>
 
 Collaboration and Implementation
 
 
 
 <ul>
 <li>
 Collaboration in implementation in consulting projects
 
 
 </li>
 </ul>
 
 Expected Skills
 
 
 
 <ul>
 <li>
 Very good knowledge of Excel
 </li>
 <li>
 Knowledge of Alteryx and/or Python is an advantage
 </li>
 <li>
 Expected Competencies:
 
 
 </li>
 </ul>
 
 Organizational And Planning Skills
 
 
 
 <ul>
 <li>
 Financial orientation
 </li>
 <li>
 Detail orientation
 </li>
 <li>
 Analytical skills
 </li>
 <li>
 Stakeholder management
 
 
 </li>
 </ul>
 
 Required Language Skills
 
 
 
 <ul>
 <li>
 Proficient in written and spoken Arabic and German
 
 
 </li>
 </ul>
 
 Minimum Education And Specific Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Business, Supply Chain Management, Procurement, or Data Science preferred
 </li>
 <li>
 Certifications in relevant fields would be advantageous
 
 
 </li>
 </ul>
 
 Years Of Experience
 
 
 
 <ul>
 <li>
 3-5 years of experience within procurement organization, ideally having
 </li>
 <li>
 worked with a diverse portfolio of people, process and technology with a
 </li>
 <li>
 leading firm, preferably in the Middle East region
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 
 Degrees/Field Of Study Required
 
 
 
 Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 No
 
 
 
 Government Clearance Required?
 
 
 
 No
 
 
 
 Job Posting End Date
 
</div>

ETIC, Procurement Data Analyst (German Speaker) - Senior Associate

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale. This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems. You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.
 
 
 
 To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 
 
 Your responsibilities will include but may not be limited to:
 
 
 
 <ul>
 <li>
 
 Building and maintaining in-depth understanding of machine learning concepts across all areas, in particular; supervised, unsupervised, reinforcement learning and large language models.
 
 
 </li>
 <li>
 
 Writing Python / R code to create, tune and validate models.
 
 
 </li>
 <li>
 
 Optimising code and infrastructure for machine learning performance.
 
 
 </li>
 <li>
 
 Consulting with clients on business issues, often explaining complex technical concepts to non-technical people.
 
 
 </li>
 <li>
 
 Creation of novel visualisations and explanations to demonstrate our work.
 
 
 </li>
 <li>
 
 Researching new products, tools and techniques to assist with advancing our machine learning and data science capability.
 
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 Data transformation and modelling (e.g. pandas and scikit-learn in Python);
 
 
 </li>
 <li>
 
 Data storage and querying (e.g. SQL);
 
 
 </li>
 <li>
 
 Understanding of common data quality issues and they effect they have on machine learning models;
 
 
 </li>
 <li>
 
 Data cleansing and manipulation for machine learning (e.g. feature engineering);
 
 
 </li>
 <li>
 
 Dimensionality reduction techniques (e.g. principal component analysis);
 
 
 </li>
 <li>
 
 Hyperparameter optimization approaches for a range of models;
 
 
 </li>
 <li>
 
 Use of Large language models for natural language processing;
 
 
 </li>
 <li>
 
 Experience with financial / general ledger data;
 
 
 </li>
 <li>
 
 Knowledge of the current data science software platforms;
 
 
 </li>
 <li>
 
 Knowledge of Generative AI and concepts such as retrieval augmented generation.
 
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 <ul>
 <li>
 
 The ability to come up with creative solutions to complex problems;
 
 
 </li>
 <li>
 
 Exceptional analytical and technical aptitude;
 
 
 </li>
 <li>
 
 Exceptional attention to detail;
 
 
 </li>
 <li>
 
 The ability to manage time, prioritise tasks and work under tight deadlines;
 
 
 </li>
 <li>
 
 The ability to work independently with little supervision, but integrate well into teams;
 
 
 </li>
 <li>
 
 Concise and clear communication when presenting and explaining results and findings.
 
 
 </li>
 <li>
 
 Naturally inquisitive
 
 
 </li>
 <li>
 
 Analytical mindset
 
 
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 17 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 Yes
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data science - Senior Associate

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Mid Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 2 to 4 years of experience is required.
 </li>
 <li>
 Proven experience in
 
 end-to-end ML project delivery
 
 (data prep &rarr; modeling &rarr; deployment).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Advanced
 
 Python
 
 (modular code, OOP, APIs).
 </li>
 <li>
 Strong
 
 SQL
 
 (window functions, query optimization).
 </li>
 <li>
 Expert in
 
 supervised/unsupervised learning
 
 ,
 
 feature engineering
 
 , and
 
 model tuning
 
 .
 </li>
 <li>
 Solid understanding of
 
 time-series modeling
 
 and
 
 model interpretability (SHAP, LIME)
 
 .
 </li>
 <li>
 Experience with
 
 NLP pipelines
 
 (text cleaning, vectorization, embeddings).
 </li>
 <li>
 Knowledge of
 
 transformer models
 
 (BERT, GPT) and their fine-tuning using Hugging Face or OpenAI API.
 </li>
 <li>
 Able to build
 
 classification, summarization, or entity extraction
 
 solutions.
 </li>
 <li>
 Understanding of
 
 prompt engineering basics
 
 and
 
 embedding-based search
 
 .
 </li>
 <li>
 Familiarity with
 
 Airflow, Docker, FastAPI/Flask
 
 , or
 
 CI/CD pipelines
 
 for model deployment.
 </li>
 <li>
 Works with cloud ML environments (
 
 Azure ML, AWS Sagemaker, or Dataiku
 
 ).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Mentors junior data scientists.
 </li>
 <li>
 Communicates complex results in clear business language.
 </li>
 <li>
 Works independently and aligns projects to measurable business outcomes.
 </li>
 </ul>
</div>

Mid Senior Data Scientist

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Scientist

Advansys

<div>
 The Analyst primary responsibility is to support procurement teams in gathering cost information and identifying savings opportunities by conducting analysis on spend, design, and sourcing data.
 
 
 The candidate will work within the Procurement Resale Category management group and work closely with the Category Leads as well as cross functional partners in Engineering, Quality, and Solution Development. In this role, the Analyst will assist Category leads from multiple Dematic sites across North America, and Europe.
 
 
 RESPONSIBILIETIES:
 
 
 <ul>
 <li>
 Support annual savings targets for assigned category through the use of sophisticated analysis tools including cost benchmarking, best-of-best analysis, regression analysis, Linear Price Progression (LPP), and price analysis over time by supplier and sub-category
 </li>
 <li>
 Collaborate with Category leads, Buyers and Procurement project leads to implement cost optimization projects
 </li>
 <li>
 Develop cost driver and raw material impact analysis for assigned categories and identify cost take out opportunities; recommend pricing strategies
 </li>
 <li>
 Prepare fact-based data packs for Category leads to use in negotiations
 </li>
 <li>
 Assist in submitting Request for Quote (RFQ) events, bid analytics including total landed cost calculations and support in developing sourcing scenarios
 </li>
 <li>
 Update savings analytics dashboards, support spend optimization projects including standardization of global MSC codes, analysis of part similarities, top spend parts, and similar activities
 </li>
 <li>
 Track execution of savings opportunities through category Key Performance Indicators (KPIs)
 </li>
 <li>
 Proficient usage of SAP with a demonstrated ability to navigate and utilize SAP functionalities, ensuring seamless system operation, user support, and efficient data management for optimal business processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Engineering, Computer Science, Supply Chain, Accounting, Finance or Statistics
 </li>
 <li>
 2-3+ years' experience in Procurement, Supply Chain, Finance or Business
 </li>
 <li>
 Familiarity with purchasing and supply chain management
 </li>
 <li>
 Proficient SAP User
 </li>
 <li>
 Advanced analytical skills with expertise in Microsoft Excel (MS Excel), and Business Intelligence (BI) tools like Power BI and Tableau
 </li>
 <li>
 Manipulate large data sets through standard analytics software packages and applications
 </li>
 <li>
 Project Management skills
 </li>
 <li>
 Interpret drawings and technical specifications as well as relevant cost knowledge for different types of categories
 </li>
 <li>
 Self-driven individual, able to work with minimal direction to consistently look for opportunities
 </li>
 <li>
 Data consolidation &amp; presentation skills. Ability to analyze, synthesize information from diverse sources, present findings clearly / concisely, and communicate that analysis effectively to business partners
 </li>
 <li>
 Strong communicator and ability to manage/prioritize multiple key activities simultaneously
 </li>
 <li>
 Work cross-functionally in a culturally diverse environment and quickly build strong rapport and relationships with Procurement partners, including interaction with Senior Leaders and working across multiple regions/time
 </li>
 </ul>
</div>

Procurement Category Data Analyst

Flash

<div>
 
 About Flash
 
 
 
 Flash is an early-stage Cairo-based fintech aiming to support our society&rsquo;s financial well-being, one person at a time.
 
 
 Flash has raised a $6M seed round from leading international investors and is approved by the Central Bank of Egypt in partnership with Banque Misr.
 
 
 Our founding team has deep local and international experience working at top consumer-facing technology companies.
 
 
 Role Overview
 
 
 The Finance Lead will oversee both the accounting and financial operations (FinOps) functions, ensuring accuracy, efficiency, and compliance across all financial activities. The role combines operational finance supervision with strategic support &mdash; managing reconciliations, settlements, and reporting while generating insights, budgets, and forecasts that support decision-making.
 
 
 This person will act as the first line of leadership within the finance team, guiding the Senior Accountant and FinOps Analyst to ensure data integrity, timely reporting, and smooth execution of financial processes.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Financial Control &amp; Supervision
 </li>
 <li>
 Oversee the daily operations of the Accounting and FinOps functions
 </li>
 <li>
 Review reconciliations of banks, wallets, and service providers to ensure zero discrepancies
 </li>
 <li>
 Supervise settlements, collections, payables, and receivables across multiple partners
 </li>
 <li>
 Ensure timely month-end and year-end closings, with complete and accurate ledgers
 </li>
 <li>
 Review and approve journal entries, invoices, and reconciliation reports
 </li>
 <li>
 Liaise with tax authorities, external auditors, and other regulatory bodies to ensure compliance and successful audits
 </li>
 <li>
 Financial Reporting &amp; Insights
 </li>
 <li>
 Prepare and review management reports, including P&amp;L, balance sheet, and cash flow statements
 </li>
 <li>
 Conduct variance analysis versus budget and highlight operational insights for management
 </li>
 <li>
 Monitor key financial metrics (revenues, costs, margins, liquidity) and flag risks or inefficiencies
 </li>
 <li>
 Build financial dashboards to track performance trends and support data-driven decision-making
 </li>
 <li>
 Budgeting &amp; Planning
 </li>
 <li>
 Lead the annual budgeting and periodic re-forecasting cycles
 </li>
 <li>
 Maintain and update company model
 </li>
 <li>
 Collaborate with business teams to align budgets with operational plans
 </li>
 <li>
 Support strategic decision-making through scenario analysis and sensitivity testing
 </li>
 <li>
 Identify opportunities to improve profitability and operational efficiency
 </li>
 <li>
 Process Optimization &amp; Team Leadership
 </li>
 <li>
 Develop, document, and implement standard operating procedures for finance processes
 </li>
 <li>
 Strengthen internal controls and ensure adherence to company policies
 </li>
 <li>
 Mentor and develop the FinOps Analyst and Senior Accountant to improve accuracy, efficiency, and ownership
 </li>
 <li>
 Work cross-functionally with operations, commercial, and product teams to align financial workflows
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Accounting, Finance, or related field
 </li>
 <li>
 7+ years of experience in accounting, finance operations, or FP&amp;A, including at least 2 years in a supervisory or lead role
 </li>
 <li>
 Strong understanding of accounting standards, reconciliations, and financial reporting
 </li>
 <li>
 Advanced Excel and solid ERP/system proficiency
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail
 </li>
 <li>
 Experience in fintech, payments, or high-growth startups is a big plus
 </li>
 <li>
 Professional certification (CPA, CMA, or FMVA) preferred
 
 
 </li>
 </ul>
 What We Offer
 
 
 A collaborative and dynamic work environment in a fun office.
 
 
 <ul>
 <li>
 The chance to work on exciting and innovative projects in the fintech industry
 </li>
 <li>
 Opportunities for professional development and career growth
 </li>
 <li>
 Social and medical insurance coverage
 </li>
 <li>
 Monthly credit to use at your disposal on our app
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 d5SniNKALD
</div>

Finance Lead

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