data analyst

business analyst

data architect

data engineer

financial analyst

data scientist

10Pearls

<div><p><b>Company Overview</b></p><p>
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.</p><p><b>
Role</b></p><p>
As a Principal/Staff Data Scientist you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.</p><p><b>
Responsibilities</b></p><ul><li>
Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale.</li><li>
Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making.</li><li>
Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team.</li><li>
Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends.</li><li>
Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams.</li><li>
Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs.</li><li>
Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives.</li><li>
Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance.</li><li>
Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions.</li><li>
Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions.</li><li>
Understand client needs and provide tailored, strategic solutions that align with business objectives.</li><li>
Build strong relationships by clearly communicating technical concepts and managing expectations.</li><li>
Actively participate in recruiting top technical talent for the team.</li><li>
Collaborate with the sales team in presales activities, identifying client needs, providing technical expertise, and crafting data-driven solutions to meet business requirements.</li><li>
Define and implement data strategies to support exploration, drilling, and production business goals.</li><li>
Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems).</li><li>
Ensure data accuracy, consistency, and security while adhering to industry compliance standards.</li><li>
Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization).</li><li>
Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting.</li><li>
Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs.</li><li>
Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities.</li><li>
Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data.</li><li>
Implement real-time data analytics for drilling, well monitoring, and production enhancement.</li><li>
Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation.</li><li>
Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.</li><li>
Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.</li><li>
Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions.</li><li>
Communicate technical findings to non-technical stakeholders through visualizations and reports.</li><li>
Develop optimization models for energy efficiency, cost reduction, and supply chain logistics.</li><li>
Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance.</li><li>
Implement risk assessment models to improve safety and compliance standards.</li><li>
Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis.</li><li>
Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).</li><li>
Hands-on experience with visualization tools like Power BI, Tableau, or D3.js.</li><li>
Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton&rsquo;s Decision Space.</li></ul><p><b>
Requirements</b></p><ul><li>
Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.</li><li>
7+ years of experience in data science.</li><li>
Demonstrated success in leading data-driven projects.</li><li>
Deep knowledge of machine learning and statistical modelling</li><li>
Strong programming and data engineering skills.</li><li>
Excellent problem-solving and communication abilities.</li><li>
Proven track record of innovation in multiple industries</li></ul><p>
</p><p>rtbrr9EuNl</p></div>

Principal/Staff Data Scientist

US Mobile

<div><div><div>About US Mobile</div><div></div><div><br>
US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That&rsquo;s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity for customers in the US.<br>
</div><div></div><br>
<div>At the core of it all, our people are the driving force behind our success. We&rsquo;re one collaborative, driven, and empowered team on a mission to build a product that makes the lives of our customers easier.</div><div></div><div><br>
About the Role</div><div></div><div><br>
We are seeking an experienced Data Analyst who thrives in a fast-paced environment and is</div><div>
passionate about turning complex data into actionable insights. The ideal candidate should have</div><div>
a strong background in SQL, Python, Sage and hands-on experience working with data platforms like</div><div>
Amazon Athena and Looker.</div><div></div><div><br>
Key Responsibilities</div><div>
</div><div><b>
Data Analysis &amp; Reporting:</b></div><div></div><ul><li><br>
Analyze large datasets from multiple sources to identify trends, patterns, and insights</li></ul><div>
that inform business decisions.</div><ul><li>Work directly with US-based stakeholders to gather requirements and deliver timely</li></ul><div>
analytical solutions.</div><div></div><div><b><br>
SQL / Athena / Sage Expertise:</b></div><div></div><ul><li><br>
Write complex SQL queries using Amazon Athena and other cloud-based solutions to</li></ul><div>
extract, transform, and analyze data.</div><ul><li>Experience with <b>Sage<br>
</b></li></ul><div></div><br>
<div><b>Python Automation &amp; Modeling:</b></div><div></div><ul><li><br>
Build data pipelines and perform advanced analytics using Python. Python is a must for</li></ul><div>
this role.</div><ul><li>Automate data preparation tasks and create reusable scripts for reporting workflows.</li></ul><div>
Looker Dashboarding &amp; Visualization:</div><ul><li>Design and maintain dashboards using Looker to support real-time KPI tracking and</li></ul><div>
performance monitoring.</div><div></div><div><b><br>
Cross-functional Collaboration:</b></div><div></div><ul><li><br>
Partner with teams across product, marketing, customer service, and finance to support</li></ul><div>
data needs.</div><ul><li>Present insights and recommendations to stakeholders in a clear and concise manner.</li></ul><div>
Quality &amp; Governance:</div><ul><li>Ensure data accuracy, consistency, and integrity across reports and dashboards.</li></ul><div></div><div><br>
Qualification Criteria<br>
</div><div></div><br>
<ul><li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related</li></ul><div>
field</div><ul><li>1+ year of experience in a data analyst or similar role</li><li>Proficient in SQL (Athena preferred), Python (mandatory), and data wrangling tools</li><li>Experience with Looker required (Power BI not applicable)</li><li>Strong analytical mindset with excellent problem-solving skills</li><li>Ability to work in EST time zone and collaborate effectively with US-based teams</li><li>Excellent communication skills (verbal and written)</li></ul><div></div><div><br>
What US Mobile Offers</div><div></div><ul><li><br>
Competitive salary and benefits</li><li>Opportunity to work with a U.S. based team on cutting-edge projects</li><li>Fast-paced and collaborative team culture</li><li>Long-term growth opportunity in a growing tech company</li></ul></div><br>
<div></div>
<div><div>
Join USM to help shape an organization that values people at its core.
</div><div>If you&rsquo;re passionate about Data Analysis and excited about making a meaningful impact, we&rsquo;d love to hear from you!</div><div></div><div><br>
Apply Now and be part of a team that&rsquo;s redefining the customer experience and workplace culture at US Mobile.</div></div></div>

Data Analyst (Sage Experience)

KPMG Saudi Arabia

<div>
 <p>
  <strong>
   Overview &ndash; KPMG Saudi Levant Cluster:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  KPMG has grown to become one of the largest professional service providers in the Saudi Levant Cluster having three lines of services: audit, tax, and advisory. Currently, KPMG&rsquo;s Saudi Levant Cluster workforce is over 2,000. With ambitious growth objectives, we are continuously looking for talent various functions and levels.
 </p>
 <p>
  <br/>
 </p>
 <p>
  KPMG operates through an experienced leadership with dedicated regional teams, which enables our network of professional talent, our technologies and our products and solutions to quickly come together to meet clients&rsquo; needs. Our company&rsquo;s vision is to be recognized as a truly transformed firm, trusted by our people, our clients, and our society.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We value the fresh perspective that experienced professionals can bring. Whether you are currently working in industry, the public sector, a smaller firm, or another 'Big Four' organization, you can expect to make a difference from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a fresh graduate in IT Computer Science, Data Science, Data Analytics, or a related field to join our ARCH Pakistan office and work closely with the Data Analytics &amp; AI team in KPMG Middle East.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will collaborate with our onshore Audit Data &amp; Analytics (D&amp;A) CoE Specialist team to deliver high-quality Data Analytics &amp; AI solutions that enhance our audit quality, risk assessment, exceptions-based testing and provide actionable insights to our clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   ERP knowledge, SQL, ETL and big data preparation / wrangling of client datasets (GL journal entries, trial balances, Sub-GL, Data Migrations) for audit analytics.
  </li>
  <li>
   Design and implement completeness &amp; accuracy testing for financial data.
  </li>
  <li>
   Build interactive dashboards in Power BI to visualize client data and highlight insights.
  </li>
  <li>
   Collaborate with engagement teams to address business needs through analytical solutions.
  </li>
  <li>
   Automate repetitive tasks using VBA, MS Power Automate, Agentic AI, Machine Learning etc.
  </li>
  <li>
   Develop standardized processes and templates for recurring analytics requests.
  </li>
  <li>
   Document workflows, data models, and best practices for knowledge sharing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Candidate Profile Education &amp; Certification:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science Engineering, Data Analytics, AI or related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Attributes:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong skills in Microsft application viz. SQL, PowerQuery, PowerApps, Power BI (DAX, data modeling, dashboard design).
  </li>
  <li>
   Experience with ETL tools (PowerQuery, Alteryx, Tableu, SQL).
  </li>
  <li>
   Expert knowledge of Excel (advanced formulas, analytics, data preparation, pivot tables, Power Pivot).
  </li>
  <li>
   Familiarity with audit procedures and financial data structures (GL, TB, sub-ledgers). [optional]
  </li>
  <li>
   Strong problem-solving, attention to detail, and communication skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we Offer:
  </strong>
 </p>
 <p>
  KPMG supports equal opportunities for all prospected candidates. We commit to provide personal and professional development for all our employees. We operate in a friendly supportive environment. We respect each other and draw strength from our differences. We prioritize the employee well-being by adapting Pioneer ways for work live balance.
 </p>
</div>


Data Analytics & AI Engineer

Esire

<div><p><b>Job Summary:</b><br>
We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate should have 1 to 2 years of professional experience in data analysis, with strong command over Power BI, Excel, and SQL. This role will be pivotal in managing, analyzing, and visualizing all data to support informed decision-making and process optimization.<br>
<br>
<b>Key Responsibilities:</b></p><br>
<ul><li>
Collect, clean, and analyze all data from various sources (logistics, inventory, vendor performance, etc.).<br>
</li><li>
Develop and maintain interactive dashboards and reports using <b>Power BI</b>.<br>
</li><li>
Write complex <b>SQL queries</b> to extract and manipulate large datasets from multiple systems.<br>
</li><li>
Perform data reconciliation, validation, and ensure data accuracy across sources.<br>
</li><li>
Generate actionable insights and trends to improve forecasting, inventory management, and operational efficiency.<br>
</li><li>
Work closely with all cross-functional teams to identify business needs and support data-driven strategies.<br>
</li><li>
Automate recurring reports and streamline data workflows using <b>Excel</b> and Power Query.</li></ul><p><b><br>
Requirements:</b></p><br>
<ul><li>
Bachelors degree<br>
</li><li>
1 to 2 years of hands-on experience in a Data Analyst role.<br>
</li><li>
Proficiency in <b>Power BI</b> (DAX, dashboard creation, data modeling).<br>
</li><li>
Strong skills in <b>Microsoft Excel</b> (pivot tables, advanced formulas, Power Query).<br>
</li><li>
Proficient in <b>SQL</b> (writing, debugging, and optimizing queries).</li></ul></div>

Data Analyst

<div>
 <strong>
  Job Summary:
  <br/>
  <br/>
 </strong>
 We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate should have 1 to 2 years of professional experience in data analysis, with strong command over Power BI, Excel, and SQL. This role will be pivotal in managing, analyzing, and visualizing all data to support informed decision-making and process optimization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and analyze all data from various sources (logistics, inventory, vendor performance, etc.).
  </li>
  <li>
   Develop and maintain interactive dashboards and reports using Power BI.
  </li>
  <li>
   Write complex SQL queries to extract and manipulate large datasets from multiple systems.
  </li>
  <li>
   Perform data reconciliation, validation, and ensure data accuracy across sources.
  </li>
  <li>
   Generate actionable insights and trends to improve forecasting, inventory management, and operational efficiency.
  </li>
  <li>
   Work closely with all cross-functional teams to identify business needs and support data-driven strategies.
  </li>
  <li>
   Automate recurring reports and streamline data workflows using Excel and Power Query.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors degree
  </li>
  <li>
   1 to 2 years of hands-on experience in a Data Analyst role.
  </li>
  <li>
   Proficiency in Power BI (DAX, dashboard creation, data modeling).
  </li>
  <li>
   Strong skills in Microsoft Excel (pivot tables, advanced formulas, Power Query).
  </li>
  <li>
   Proficient in SQL (writing, debugging, and optimizing queries).
   <br/>
  </li>
 </ul>
</div>


Esire Inc

<p><b>Job Summary:</b><br/>We are seeking a skilled and detail-oriented <b>Data Analyst</b> to join our team. The ideal candidate should have 1 to 2 years of professional experience in data analysis, with strong command over <b>Power BI</b>, <b>Excel</b>, and <b>SQL</b>. This role will be pivotal in managing, analyzing, and visualizing all data to support informed decision-making and process optimization.</p><p><b>Key Responsibilities:</b></p><ul><li>Collect, clean, and analyze all data from various sources (logistics, inventory, vendor performance, etc.).</li><li>Develop and maintain interactive dashboards and reports using <b>Power BI</b>.</li><li>Write complex <b>SQL queries</b> to extract and manipulate large datasets from multiple systems.</li><li>Perform data reconciliation, validation, and ensure data accuracy across sources.</li><li>Generate actionable insights and trends to improve forecasting, inventory management, and operational efficiency.</li><li>Work closely with all cross-functional teams to identify business needs and support data-driven strategies.</li><li>Automate recurring reports and streamline data workflows using <b>Excel</b> and Power Query.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree</li><li>1 to 2 years of hands-on experience in a Data Analyst role.</li><li>Proficiency in <b>Power BI</b> (DAX, dashboard creation, data modeling).</li><li>Strong skills in <b>Microsoft Excel</b> (pivot tables, advanced formulas, Power Query).</li><li>Proficient in <b>SQL</b> (writing, debugging, and optimizing queries).</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Skylink Distributions (Pvt.) Ltd

<p>Location: Clifton (Behind street of De soul cafe and restaurant), Karachi.</p><p>We prefer candidates from nearby areas.</p><p>Job Responsibilities:</p><ul><li>Collect and organize data from various sources.</li><li>Clean, preprocess, and validate data for accuracy and consistency.</li><li>Conduct exploratory data analysis (EDA) to identify patterns and trends.</li><li>Create and maintain dashboards, charts, and reports for data visualization.</li><li>Support senior analysts in larger data projects and initiatives.</li><li>Collaborate with teams to understand data requirements and deliver insights.</li><li>Document workflows, methodologies, and findings for future reference.</li><li>Monitor and ensure the quality and integrity of datasets.</li><li>Continuously learn and update technical and analytical skills.</li></ul><p>Other requirements:</p><ul><li>Proficiency in Excel (Pivot Table) for data manipulation and analysis.</li><li>Basic knowledge of SQL, Python for data processing.</li><li>Knowledge in Python libraries such as Pandas &amp; Numpy</li><li>Knowledge in Python Automation such as selenium library is a plus point</li><li>Familiarity with data visualization tool like Power BI.</li><li>SQL Basic knowledge</li><li>Strong analytical and problem-solving abilities.</li><li>Good communication and teamwork skills.</li></ul><p>Education: BS (Data Science/Computer Science)</p><p>Experience: 3 year in same role is an edge.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Explore 572+ Data scientist in Karachi this September. Find roles across top companies and apply now to boost your career.

572 data scientist jobs IN Karachi

Principal/Staff Data Scientist

Data Analyst (Sage Experience)

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