Quantitative Analyst Jobs in Pakistan.
All active Quantitative Analyst roles based in Pakistan.
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Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role:
The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.
Responsibilities:
- As a Sales Data Quality Analyst II, the person in this role is expected to:
- Lead high-impact data quality investigations and diagnostics
- Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.
- Establish and maintain rigorous data quality standards
- Help define what “good” looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.
- Engineer and oversee proactive data monitoring frameworks
- Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.
- Architect account hierarchy and structural integrity
- Support the design and maintenance of parent–child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.
- Standardize documentation and operationalize for scale
- Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.
Qualifications:
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.
- Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.
- Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.
- AI & Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.
- Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.
- Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.
- Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.
- Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.
- Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
Ready to apply?
Apply to Motive
Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.
About the team
The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. As one of the leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with and leading the top data science talent of the region, leveraging AI to solve the region’s day-to-day problems, through state-of-the-art machine learning, optimization, deep learning, and RL models, that are deployed on top of our own in-house AI platform, serving users in real-time.
What you'll do
- Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision making.
- Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
- Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
- Provide product leadership by sharing data-based recommendations to communicate state of business, root cause of change in metrics, and experimentation results influencing product and business decisions
- Implement scalable machine learning algorithms that will be used in production on big data.
- Embark on exploratory data analysis projects to achievea better understanding of phenomena as well as to discover untapped areas of growth and optimization.
- Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
- Help define and track the appropriate key metrics for specific projects.
- Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
- You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
What you'll need
- Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
- Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
- Strong problem solving and coding skills.
- Solid knowledge of and experience with marketplace problems in ride hailing and delivery services.
- Solid knowledge of AB testing, classic ML and DL
- Solid understanding of recommendations, learning to rank, uplift modeling and matching problems.
- Fluency in English along with excellent oral and written communication skills.
- Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
- Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
- Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
- Knowledge of Agile methodologies.
What we’ll provide you
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
- Work and learn from great minds by joining a community of inspiring colleagues.
- Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
- Explore new opportunities to learn and grow every day.
- Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
- Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
Ready to apply?
Apply to Careem
Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.
About the Role
We’re looking for a Product Operations Lead to join our team and play an instrumental role in ensuring customers find what they need in app while driving growth. Reporting to the Lead Product Manager, you will work at the intersection of product, engineering, marketing, commercial, and operations, helping shape the in-app experience through content configuration, segmentation, and optimization. This role is based in Karachi or Lahore under Tenants (Laundry, Home & Spa, Cleaning) squad.
Key Responsibilities
- Content Management & Strategy – Set up, manage, and optimize in-app content, ensuring relevance and consistency to improve conversion and engagement.
- Personalization & Segmentation – Ensure content is tailored to different customer cohorts, maximizing relevance and impact.
- Performance Monitoring & Optimization – Track content performance, analyse data, and iterate based on insights to improve customer experience and drive growth.
- Cross-functional Collaboration – Work closely with Product, Engineering, Marketing, Commercial, Analytics, and Operations teams to align on content strategy and execution.
- Process Improvement – Identify inefficiencies, recommend solutions, and implement scalable processes for content management.
- Project Management – Manage multiple initiatives across product, operations, and marketing, ensuring smooth execution and impact.
- Data-Driven Insights – Analyze customer behavior, content performance, and industry trends to refine content and enhance user experience.
What We’re Looking For
- Experience: A minimum of 0 to 2 years of experience in product operations and execution.
- Education: Bachelor’s degree in related quantitative field (MBA preferred).
- Problem Solver – Ability to proactively identify challenges and work collaboratively on solutions.
- Attention to Detail – Meticulous in managing content, tracking performance, and analyzing data.
- Strong Communicator – Effective in working across teams, gathering feedback, and driving alignment.
- Analytical Mindset – Comfortable interpreting data and turning insights into actionable improvements.
- Project Management Skills – Organized, able to prioritize multiple initiatives, and meet deadlines.
- Tech Enthusiast – Nice to have: App Engine (Internal Tool), SQL (Basic reading/writing), Data Segmentation tools experience
- Customer-Centric – Passionate about delivering a great experience and putting the customer first.
What we’ll provide you
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
- Work and learn from great minds by joining a community of inspiring colleagues.
- Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
- Explore new opportunities to learn and grow every day.
- Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
- Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
Ready to apply?
Apply to Careem
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
- Design and build complex data sets by extracting and cleansing data from various different systems. Work closely with our Marketing Analytics, Marketing Operations, Business Intelligence and Enterprise Systems teams to establish data pipelines for business critical KPIs
- Develop and maintain automated, self-service dashboards using Snowflake and Tableau
- Partner with marketing and sales stakeholders to identify opportunities for improvement and to develop analytical solutions to streamline / automate existing reporting.
- Develop and maintain operational KPIs, marketing performance metrics, and business review slides
- Support marketing teams with analysis and reporting to drive success
- Become an expert of the data landscape at Motive and look for opportunities to improve data quality and reliability
- BA/BS degree in a quantitative field such as Engineering or Mathematics is required
- 3-5+ years of experience working in a Sales or Marketing Business Intelligence or related role with experience in working with sales systems such as Salesforce is preferred
- Advanced knowledge of SQL with a minimum of 2 years experience is required
- Experience with Salesforce, Snowflake, Tableau and other business intelligence applications
- Proven ability to handle multiple tasks, work independently, and problem solve to identify solutions to data requests
- Strong verbal and written communication skills
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
Ready to apply?
Apply to Motive
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role:
As a Sales Data Engineering Manager you will be part of the core data team building out world class sales data products that will drive Motive Sales. You will be working on the intersection of all data streams in the company and support our reps globally. You will partner closely with both the Sales, Product, & Marketing teams. We are seeking strong team players who thrive on innovation and continuous improvement. We pride ourselves on our culture, and ability to work effectively across a highly diversified team.
Responsibilities:
Build data roadmap for the sales data engineering team building both internal and external data products.
Drive innovation in our sales data products with the application of AI in both the processes we work on to the products we deliver.
Build teams to scale out our maturing set of analytics products.
Be deeply technical and continue to code and drive technical standards within the team.
Architect and design data models in collaboration with data and product teams.
Communicate effectively and drive strategy across multiple teams and projects.
Qualifications:
- Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
- Knowledge of Sales Cycles and B2B Sales
- 10+ years experience in Data Engineering, and 3+ years managing a team
- Expertise with data engineering stack, dBt, Snowflake, airflow, data observability tools, AWS, pyspark.
- Expertise in SQL and Python
- Great planning and roadmapping skills
- Excellent communication, collaboration, and people skills
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
Ready to apply?
Apply to Motive