Growth Analyst - Insights & Analytics

Careem is revolutionizing the digital landscape in the Middle East with the Everything App, designed to simplify transportation, food and grocery delivery, payment management, and much more. Our mission is clear: to enhance the lives of our users while fostering an inspiring and innovative organization.Since our inception in 2012, we have empowered over 2.5 …

Careem is on a mission to create the Everything App for the greater Middle East, making it effortless for you to move around, order food and groceries, manage payments, and much more. Our vision is straightforward: to enhance and simplify lives while cultivating an exemplary organization that inspires.Since our inception in 2012, we have empowered over 2.5 million Captains, enriched the lives of more than 70 million customers, and established a platform where the most talented individuals and entrepreneurs in the region can flourish. Our operations span across 70+ cities in 10 countries, from Morocco to Pakistan.We are embarking on our next chapter, one that is driven by AI. We are in search of AI enthusiasts: inquisitive problem-solvers who can leverage AI to develop tools, automate processes, and create tangible impacts. Whether it’s optimizing operations, enhancing customer experiences, or rethinking internal systems, we seek individuals who can help Careem operate more intelligently and swiftly.About the Team:At Careem, the NextGen Programme aims to foster the growth of our engineers by teaching them how to write Clean Code, apply SOLID principles, and design dependable systems. Our goal is to equip new engineers with robust foundations and high standards. This Programme encompasses various engineering disciplines including Backend, Frontend, Web, Mobile, Data Analysis, MLOps, Infrastructure, Cyber Security, and QA.As part of the Careem NextGen Team, the objective of this program is to mentor new Analysts in establishing a foundation of Analytical excellence. You will be exposed to exciting projects and cutting-edge technology for accelerated learning, employing modern analytical and visualization tools to address everyday challenges in the region.The Careem Analytics team is dedicated to constructing and monitoring a comprehensive view of Careem's businesses and experiences, maintaining high standards of experience, providing actionable insights, defining problems, and contributing to their resolution.Responsibilities:Serve as the primary contact for all business data inquiriesCreate effective reporting solutions using engineering best practices and various reporting toolsEngage in the continuous enhancement of these reporting solutions

Join Our Team at CodeNinjaCodeNinja is at the forefront of AI-driven solutions, dedicated to empowering enterprises, government entities, and software buyers in crafting and managing intelligence-led systems tailored for mission-critical applications. Our expertise lies in seamlessly integrating AI into operational frameworks—leveraging robust engineering principles alongside AI-native methodologies to deliver tangible value, resilience, and sustainable ownership for our clients. With a global presence and diverse delivery strategies supported by AI Labs, AI Pods, and Global Capability Centers, we enable our teams to co-create scalable platforms across various regions and time zones.Role OverviewAs a pivotal player in our ERP program, you will spearhead the data strategy, ensuring comprehensive data readiness, effective conceptual data modeling, meticulous reporting data sourcing, and structured migration planning. Your efforts will cultivate a dependable, unified data foundation across all operational modules.Key ResponsibilitiesConduct thorough evaluations of legacy data sources:Inventory, Maintenance (MRO), Procurement, HR, Technical DocumentationIdentify critical data quality issues:Duplicates, missing entries, inconsistenciesData ownership and governance deficienciesRedundant or siloed datasetsEstablish a robust data cleansing and standardization framework.Create a comprehensive Data Readiness Assessment Report.Formulate an end-to-end Data Migration Strategy, encompassing:Migration methodologies (phased, module-wise, or big-bang)Data prioritization (master, transactional, historical)Develop Data Mapping Specifications:Mapping from legacy systems to ERP field-levelTransformation rules and standardization logicStrategies for handling missing or invalid dataDefine a Data Cleansing & Preparation Plan:Deduplication protocolsData enrichment processes as neededValidation checkpoints pre-migrationCraft a Migration Execution Plan:Migration cycles (mock runs, dry runs, final cutover)Rollback strategies in case of failureDowntime and cutover planningEstablish a Data Validation & Reconciliation Framework:Pre-migration vs post-migration validation rulesReconciliation reports (counts, totals, relationships)Sign-off criteria for each moduleGenerate key deliverables:Data Migration PlanData Mapping DocumentsData Validation & Reconciliation ReportsIdentify and enable innovative AI/ML use cases, such as:Predictive maintenance modelingInventory demand forecastingSupplier performance analyticsUtilize AI tools for:Data profiling and anomaly detectionAssessing data quality and recommending cleansing actionsAdvanced analytics and insights generation

Devsinc is on the lookout for a talented Product Analyst to enhance the design, execution, and ongoing refinement of our hospitality data and integration solutions. This mid-level position is perfect for individuals with practical experience in implementing Property Management Systems (PMS) and integrating them with financial services, payment gateways, and booking systems within the hotel industry. The Product Analyst will closely collaborate with product managers, engineers, and implementation teams to identify, gather, and validate the data essential for delivering analytics, reconciliation, and correction functionalities through robust data platforms.Key ResponsibilitiesWork alongside product and engineering teams to establish and document requirements for seamless data integration across PMS, finance, payment, and booking systems.Identify and extract necessary data through APIs, standard or custom reports, or UI scraping techniques.Ensure data fields are accurately mapped and validated to maintain data flow consistency across various backend systems and applications.Assist in product development by guaranteeing precise data acquisition and integrity for analytics and reporting solutions.Evaluate customer workflows and system configurations to pinpoint integration or data quality challenges.Coordinate with implementation and QA teams to test and verify successful data integration in client environments.Create clear specifications, diagrams, and documentation to facilitate cross-functional technical understanding.Provide insights for product enhancements by offering feedback on data quality, usability, and performance.

Join Metromakro as a Territory Sales Manager specializing in the HoReCa (Hotels, Restaurants, and Cafés) and O&I (Office & Institutional) sectors. In this role, you will be responsible for driving sales growth and fostering strong relationships with clients in your territory. You will leverage your expertise to identify new business opportunities and enhance customer satisfaction through tailored solutions.

About Us:Motive is revolutionizing the way physical operations are managed by providing tools that enhance safety, productivity, and profitability. For the first time, safety, operations, and finance teams can oversee drivers, vehicles, equipment, and fleet-related expenses through a single system. By leveraging industry-leading AI, the Motive platform offers unparalleled visibility and control while significantly reducing manual workloads through automation and simplification of tasks.We proudly serve nearly 100,000 customers ranging from Fortune 500 companies to small businesses across diverse sectors, including transportation and logistics, construction, energy, field services, manufacturing, agriculture, food and beverage, retail, and the public sector.To learn more, visit gomotive.com.Position Overview:As a Business Strategy & Operations Analyst II at Motive, you will be instrumental in fostering innovation and enhancing efficiency within our Sales Operations team. This engaging role transcends traditional support functions, positioning you as a strategic ally to Sales and Sales Operations leaders. You will be crucial in scaling our successful operational model, allowing teams to concentrate on high-impact initiatives that drive our company's growth and success.Key Responsibilities:Data Analysis & Reporting: Produce and analyze data to generate insights that guide strategic decisions and improve operational efficiency.Dashboard Development: Create and maintain dashboards and reports that deliver essential business insights.Project Management: Support the management of various projects to ensure timely delivery and alignment with business goals.Stakeholder Engagement: Work closely with sales leaders and key stakeholders to maintain effective communication and alignment.Quality Assurance: Guarantee data integrity and accuracy through comprehensive quality assurance processes.Qualifications:We are seeking individuals with a strong analytical mindset, excellent communication skills, and a proven track record in data analysis and project management. A background in sales operations or strategy is highly desirable.

Key ResponsibilitiesWe are seeking a dedicated Business Analyst (BA) to act as a crucial link between our clients and project teams. The primary responsibilities of the BA include, but are not limited to:1. Actively engage with clients to gather and analyze business requirements.2. Convert business needs into data-driven and AI-enhanced use cases.3. Collaborate with technical leads and subject matter experts to design data architectures.4. Partner with data engineers to align data architectures with business objectives.5. Collaborate with data modelers to create conceptual, logical, and physical data models.6. Work alongside data scientists to implement AI-driven use cases.7. Support quality assurance engineers to ensure effective testing of data architectures.8. Facilitate scrum ceremonies such as sprint planning, daily stand-ups, reviews, and retrospectives.9. Assist in monitoring project progress and taking necessary corrective actions as needed.10. Provide regular status updates to clients and business stakeholders.11. Aid in user acceptance testing to secure formal approval of project deliverables.12. Document user manuals, training materials, and other project artifacts as required.

Join the Devsinc Team! We are seeking a passionate and skilled Lead Data Engineer to become a vital part of our innovative data team. In this crucial position, you will spearhead the design and optimization of data pipelines, turning raw data into insightful analytics that drive informed decision-making. Your collaborative spirit and deep expertise in data engineering will significantly influence our data architecture, ensuring data integrity and accessibility for our organization.Key Responsibilities:Architect, develop, and refine scalable data pipelines and models to enhance the extraction, transformation, and loading (ETL) processes.Engage with data scientists, analysts, and business stakeholders to identify data needs and deliver effective data solutions that align with strategic objectives.Maintain high standards of data quality, consistency, and accuracy by implementing robust validation and testing processes.Leverage cloud services and data warehousing technologies to manage substantial datasets efficiently.Oversee and resolve issues in production data pipelines, ensuring data availability and reliability.Participate in data governance efforts by promoting best practices in data security, privacy, and compliance.Stay abreast of industry trends and advancements in data engineering technologies.

About AdalFi:AdalFi is a pioneering fintech enterprise that's reshaping the landscape of digital lending in Pakistan. We specialize in creating sophisticated credit infrastructures for banks, allowing them to execute real-time, automated lending decisions through the application of cutting-edge data science, machine learning, and AI technologies.Role Overview:As a Senior Business Analyst, you will play a crucial role in scrutinizing product data, market trends, and user feedback to facilitate the enhancement and development of our technology products. You will collaborate with product managers, engineers, and business units to ensure our products not only meet customer expectations but also align with our business goals.Key Responsibilities:Product Analysis: Partner with the Product team to evaluate product performance, market dynamics, and customer insights to refine our product strategy and development processes.Collaboration: Engage closely with product managers, engineers, and design teams to articulate features, prioritize tasks, and ensure the successful delivery of products.Documentation of User Stories: Capture detailed user stories to guarantee that all requirements and acceptance criteria are clearly defined for the development team.User Research: Conduct comprehensive research (including surveys and usability testing) to gather insights into user needs and enhance product usability.Product Lifecycle Support: Assist in overseeing the product from ideation through to launch and subsequent enhancements.Technical Insights: Remain informed on technological advancements and provide technical insights to aid in product decision-making.Skills:Proficient analytical capabilities with the ability to decipher complex data sets.Strong problem-solving skills and meticulous attention to detail.Exceptional communication skills, capable of presenting findings and insights to both technical and non-technical audiences.Technical proficiency in tools such as SQL, Excel, and data visualization platforms is advantageous.Familiarity with product design and user experience best practices is preferred.

Job Title: Portfolio AnalystJob Type: Full-timeWorking Hours: 5:00 PM - 2:00 AM PKT (aligned with US hours)Location: Lahore / IslamabadOverviewJoin our dynamic team at prime-system as a Portfolio Analyst, where your expertise in financial analysis will be key in shaping and enhancing our solar energy assets portfolio. You will develop robust portfolio-level financial models, ensure compliance with investor reporting requirements, and oversee the operational performance of our photovoltaic and battery storage assets.In this collaborative role, you will partner with various teams including capital markets, project accounting, FP&A, and operations to drive insights and foster effective decision-making. This is an exceptional opportunity for professional growth within a motivated and high-achieving environment.Key ResponsibilitiesConstruct and refine portfolio-level financial models to aid in budgeting, forecasting, and strategic decision-making.Perform budget-to-actual variance analysis at the project level, providing insights to operational teams.Identify, analyze, and propose solutions for underperformance and optimization opportunities.Compile comprehensive reporting packages for investors and lenders, ensuring clarity and accuracy.Work alongside operations to mitigate risks and deliver timely alerts regarding portfolio performance.Establish and maintain a robust data infrastructure to analyze essential metrics such as energy rates and production data.RequirementsQualifications & Skills4-6 years of hands-on experience in financial analysis, portfolio management, or a related domain.Bachelor's degree in Finance, Accounting, Economics, or a relevant field.Experience in renewable energy, energy, or infrastructure sectors is a plus but not mandatory.Technical ExpertiseExceptional proficiency in the MS Office Suite, particularly Excel.Advanced Excel skills, including financial modeling, dashboards, and sensitivity analysis (essential).Ability to manage large datasets and conduct database queries.Strong data visualization capabilities (essential).Familiarity with SQL, Power Query, Python, or SigmaXL is advantageous.Experience with ERP systems (e.g., NetSuite) is preferred.Exceptional analytical mindset with acute attention to detail.Demonstrated ability to handle multiple projects in a fast-paced environment.Strong written and verbal communication skills for effective insights presentation.Highly organized with excellent time management abilities.Proactive approach with a track record of process improvement and innovative problem-solving.A keen interest in understanding the business operations and driving results.

Devsinc is on the lookout for a skilled Data Engineer with at least 2 years of professional experience to become a vital part of our expanding data team. In this exciting role, you will architect and create scalable data pipelines, engage with advanced cloud platforms, and establish the groundwork for analytics that inform key business decisions. From your first day, you’ll receive mentorship from senior engineers, work with a cutting-edge cloud stack, and witness the significant impact of your contributions.Key Responsibilities:Design, develop, and sustain automated ETL/ELT data pipelines for both structured and unstructured datasets.Create and refine scalable, secure, and cost-effective cloud data solutions using AWS, Azure, or GCP.Model, clean, and transform data to facilitate analytics, dashboards, and reporting use cases.Implement automated testing, monitoring, and alerting to guarantee high data quality and reliability.Develop high-performance Python-based services and utilities for data ingestion and processing.Engage with APIs, event-driven systems, and streaming platforms to support real-time data workflows.Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver custom data solutions.Adhere to strong software engineering best practices — including clean code, modularity, version control, and CI/CD.Document architecture, data flows, schemas, and development standards.Keep abreast of the latest data engineering tools, frameworks, and cloud-native technologies.

Join Octopus Digital, a subsidiary of Avanceon Limited, as a Data Engineer and play a pivotal role in designing and implementing sophisticated data warehouse solutions across our organization. We are seeking skilled professionals who are adept at managing vast volumes of structured and unstructured data using cutting-edge technologies.Job Responsibilities:Apply hands-on expertise in Azure or AWS platforms.Utilize Spark and Python for data processing tasks.Design and create efficient codes, scripts, and data pipelines to handle both structured and unstructured datasets.Oversee the management of data ingestion pipelines and stream processing.Develop and optimize complex SQL queries and shell scripts.Conduct Big Data querying to derive insights.Work with NoSQL databases to support data needs.Experience with Hadoop distributions, particularly Azure DataLake HDFS.Certification or training in Data Lake HDFS is an added advantage.Demonstrate the ability to meet deadlines, troubleshoot issues, and provide resolutions with minimal supervision.

Grade Level: L3Location: LahoreLast date to apply: 2nd March 2026Overview of the Role:We are in search of a results-oriented Manager of Data Sourcing & Integration within the Customer Experience (CX) domain. This pivotal role demands leadership in customer data acquisition, integration, and governance, ensuring seamless and accurate data flows essential for CX analytics, service performance assessment, journey optimization, and strategic decision-making.The ideal candidate will possess profound expertise in enterprise data integration, customer data management, operational controls, and frameworks for data quality, particularly in high-transaction environments.Key Responsibilities:Develop and lead a data sourcing strategy tailored to enhance customer experience, utilizing data from CRM systems, contact center platforms, digital channels, complaint management systems, and service applications.Oversee ETL/ELT pipelines that facilitate existing Business Intelligence (BI) and analytical needs of CX teams.Establish and enforce data validation, reconciliation, and governance protocols for all customer-related datasets.Champion data quality initiatives to guarantee precise reporting of CX Key Performance Indicators (KPIs) and Service Level Agreements (SLAs).Manage both batch processing and real-time ingestion of customer interaction data.Ensure the secure handling of customer data in full compliance with privacy regulations.Collaborate with CX, Analytics, Digital, and Commercial teams to translate business requirements into scalable data solutions.Monitor operational KPIs pertaining to data accuracy, availability, and integration performance.Drive continuous improvement efforts aimed at enhancing automation, reliability, and reporting efficiency.Oversee server disk space utilization, storage planning, and capacity forecasting.Design, maintain, and periodically validate Disaster Recovery (DR) plans for CX data systems.

Role Overview:Join Adal Fintech as a Senior Data Engineer and play a pivotal role in building and optimizing our data infrastructure. You will leverage your expertise in SQL, PL/SQL, Stored Procedures, Database Query Optimization, SSIS, Apache Spark, and Python to design and enhance data pipelines and ETL workflows that are both efficient and scalable, supporting our business intelligence and analytics goals.About AdalFi:AdalFi is at the forefront of revolutionizing digital lending in Pakistan. We are developing the country’s fastest-growing AI-driven digital lending platform, empowering banks to launch innovative credit solutions swiftly. By harnessing cutting-edge AI and data analytics, we enable financial institutions to make informed and rapid lending decisions, significantly enhancing access to credit for millions.Responsibilities:• Develop and maintain robust ETL processes and data pipelines utilizing SQL, PL/SQL, SSIS, Apache Spark, and Python.• Create and fine-tune complex queries and stored procedures to ensure optimal performance.• Manage large-scale structured and unstructured datasets, ensuring their quality, security, and compliance.• Collaborate with Business Intelligence teams and stakeholders to deliver reliable, scalable data solutions.• Document technical designs and workflows to facilitate knowledge sharing.Ideal Candidate:• Minimum 4 years of experience in the Data Engineering domain.• Proficient in SQL, PL/SQL, Stored Procedures, query optimization, and performance tuning.• Proven experience with ETL tools (SSIS), big data technologies (Apache Spark), and Python programming.• Strong grasp of data modeling, warehousing, and relational database management.• Familiarity with version control systems like Git, CI/CD practices, and collaborative problem-solving skills.Qualifications:• Bachelor’s degree in Computer Science, Information Technology, or a related field.• Experience with cloud computing platforms such as AWS, Azure, or GCP.• Understanding of data governance principles, security protocols, and compliance regulations.• Exposure to NoSQL databases and real-time data processing methodologies.

Job Overview:Join Creative Chaos, a leader in innovation, as a Senior Data Scientist. We seek an accomplished professional with a deep background in data analysis, machine learning, and statistical modeling. Your expertise will be pivotal in analyzing large datasets, deriving actionable insights, building predictive models, and facilitating data-driven decisions across diverse projects.Key Responsibilities: Lead and oversee data science initiatives, from problem identification and data collection to analysis, modeling, and deployment of machine learning solutions. Collaborate with cross-functional teams to define business challenges and transform them into impactful data science projects. Design, implement, and refine machine learning algorithms and statistical models to solve intricate business problems. Perform exploratory data analysis to uncover patterns and trends in extensive datasets. Partner with data engineers to create efficient data pipelines for streamlined data processing. Assess model performance using statistical metrics and validation methods. Communicate insights and findings effectively to stakeholders through comprehensive reports and presentations. Stay updated with the latest trends and advancements in data science, machine learning, and related domains. Mentor junior data scientists, fostering their professional growth. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related discipline. A minimum of 5 years of experience in data science. In-depth knowledge of machine learning algorithms, statistical modeling, and data mining techniques. Proficiency in programming languages such as Python or R for data analysis. Experience with big data frameworks and technologies, including Hadoop, Spark, and SQL. Familiarity with deep learning frameworks like TensorFlow or PyTorch is advantageous. Strong analytical and problem-solving capabilities. Exceptional verbal and written communication skills. Ability to work effectively in collaborative, cross-functional teams. Detail-oriented with the capacity to manage multiple tasks and projects concurrently. Benefits: Paid Time Off Work From Home Health Insurance Outpatient Department (OPD) Training and Development Opportunities

Join our dynamic team as a Senior Data Migration Engineer, where you will play a crucial role in designing and implementing extensive database migration pipelines from MS SQL and PostgreSQL environments to a cohesive PostgreSQL architecture. This position demands a high level of proficiency in ensuring data consistency, optimizing performance, and executing production-grade migrations. This role is based in Saudi Arabia, and we encourage talented developers from Pakistan who are ready to relocate to apply. Candidates with prior experience in the Saudi Arabian IT landscape will be prioritized, as local knowledge can significantly enhance adaptation to our work culture and project demands.

Position Title: Senior Financial Analyst Job Type: Onsite (Lahore/Islamabad)Timing: US Time Zone (EST)Role OverviewWe are on the lookout for a proactive and detail-oriented Senior Financial Analyst to join our team at prime-system. This role will play a crucial part in supporting our Financial Planning & Analysis (FP&A) and reporting functions. The primary focus will be on producing monthly actuals reports, monitoring weekly sales metrics, conducting Annual Recurring Revenue (ARR) performance analyses, tracking sales commissions, as well as forecasting and budgeting activities.The ideal candidate will possess a strong sense of ownership over their work, be capable of independently resolving challenges, and embody a startup mentality by being adaptable and innovative in building new processes and implementing effective tools.Key Responsibilities:Monthly Actuals & ReportingLead the monthly close actuals reporting, including management Profit & Loss (P&L), balance sheets, cash flow statements, revenue details, and variance analysis against budget and forecast.Generate consistent and reliable monthly reporting outputs for leadership review.Weekly Sales & Revenue MetricsCompile weekly reports on sales, bookings, and ARR fluctuations using Salesforce data.Analyze performance against targets, identifying and flagging significant trends or anomalies.Ensure the accuracy and consistency of sales and revenue metrics.SaaS & Professional Services AnalysisEvaluate core SaaS metrics, including ARR, churn, retention, expansion, and bookings.Assist in financial reporting for the professional services segment, which includes:Tracking services backlogAssessing business unit profitability and marginCommissions, SPIFFs & Process DevelopmentOversee sales commission tracking, payout calculations, and reporting processes.Take charge of new or evolving commission initiatives, leveraging new Salesforce tools and models.Enhance documentation, controls, and the repeatability of commission processes.Forecasting, Budgeting & PlanningAssist in preparing monthly and quarterly forecasts and annual budgets, focusing on revenue, headcount, and operating expense planning.Maintain and refine forecast models, assumptions, and driver-based planning logic.Evaluate forecast outcomes versus actuals and integrate insights into future planning cycles.Qualifications:8–12+ years of progressive experience in finance, with a strong emphasis on FP&A.Demonstrated senior-level expertise in forecasting, budgeting, and strategic financial planning.Hands-on experience with NetSuite Planning & Budgeting, Salesforce, and commission management or SPIFF tools.Advanced financial modeling and Excel skills are essential.

Join the innovative team at Devsinc as a Software Engineer II – AI & Data Engineering. We are seeking a talented individual with over 2.5 years of professional experience in developing and deploying robust AI/ML systems, applications powered by LLMs, and scalable data engineering solutions.This position demands a strong foundation in AI/ML Engineering, MLOps, Backend Engineering, and Data Engineering. You will take ownership of the project lifecycle, from the design of LLM applications, RAG pipelines, embeddings, and inference systems to the construction of ETL/ELT pipelines, cloud-native infrastructures, and architectures for real-time data processing.Key Responsibilities:Craft, develop, enhance, and deploy AI/ML models, including LLM-powered applications, RAG pipelines, embeddings, vector search architectures, and inference systems tailored for real-world applications.Develop and refine high-performance Python APIs, microservices, and backend services for AI workloads, collaborating with Engineering teams, Project Managers, and business stakeholders to deliver scalable, production-ready AI solutions.Establish and manage MLOps workflows and cloud-native infrastructures across AWS, Azure, and GCP, covering experiment tracking, model versioning, deployment automation, monitoring, and model optimization techniques like hyperparameter tuning and quantization.Design, develop, and sustain scalable ETL/ELT pipelines for both structured and unstructured datasets.Create and enhance data transformation, cleansing, validation, and quality frameworks, utilizing distributed and streaming technologies such as Kafka, Spark, Kinesis, and Pub/Sub for real-time data processing.Guarantee reliability, scalability, security, and cost-efficiency across AI and data infrastructures, while documenting architectural decisions, technical workflows, and engineering standards.

Join Careem as a Senior Software Engineer I and become a part of our innovative technology team. In this role, you will collaborate with talented engineers and contribute to the development of cutting-edge solutions that drive our business forward. Your expertise will help shape the future of our platform, ensuring we remain at the forefront of the tech landscape.