data analyst

business analyst

data engineer

financial analyst

hr analyst

senior data analyst

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)

<div>
 <p>
  <strong>
   Line of Service
   <br/>
  </strong>
  Internal Firm Services
  <br/>
  <br/>
  <p>
   <strong>
    Industry/Sector
    <br/>
   </strong>
   Not Applicable
   <br/>
   <br/>
   <p>
    <strong>
     Specialism
     <br/>
    </strong>
    IFS - Human Capital (HC)
    <br/>
    <br/>
    <p>
     <strong>
      Management Level
      <br/>
     </strong>
     Associate
     <br/>
     <br/>
     <p>
      <strong>
       Job Description &amp; Summary
       <br/>
      </strong>
      At PwC, our people in people operations primarily focus on managing the people lifecycle and the day-to-day operational tasks related to managing employees. This includes activities such as employee onboarding, offboarding, payroll and benefits administration, absence management, employee record-keeping, compliance with labour laws and regulations, and managing employee inquiries and issues. These individuals enable HC processes and systems to run smoothly in order to efficiently support our workforce.
      <br/>
      <br/>
      Those in HR information systems (HRIS), data and analytics at PwC will focus on enabling process optimization, automation, efficient data management, reporting and leveraging data to drive insights and make informed business decisions in the HRIS data and analytics space. Your work will involve implementing technology solutions and utilising advanced analytics techniques to streamline HC processes, enhance employee experience and support business and human resource clients to optimise operations and achieve strategic goals.
      <br/>
      <br/>
      <br/>
      <span>
       <span>
        The Performance Metrics Data Analyst will support the H
       </span>
       <span>
        C
       </span>
       <span>
        department by examining data patterns, creating reports, and
       </span>
       <span>
        leveraging
       </span>
       <span>
        analytics to enhance workforce efficiency and productivity. This position will focus on collecting, interpreting, and
       </span>
       <span>
        disseminating
       </span>
       <span>
        performance data and
       </span>
       <span>
        ultimately handling
       </span>
       <span>
        Performance technologies and end to end
       </span>
       <span>
        performance related
       </span>
       <span>
        ope
       </span>
       <span>
        rations
       </span>
       <span>
        .&nbsp;
       </span>
      </span>
      <span>
       &nbsp;
       <br/>
       <br/>
       <br/>
      </span>
      <strong>
       <span>
        Key Responsibilities:
       </span>
      </strong>
      <span>
       &nbsp;
       <br/>
      </span>
      <ul>
       <li>
        <span>
         <span>
          Understand and adopt
         </span>
         <span>
          performance data for strategic H
         </span>
         <span>
          C
         </span>
         <span>
          decisions.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Develop detailed reports and dashboards using data analytics tools.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Conduct analysis to
         </span>
         <span>
          identify
         </span>
         <span>
          trends and performance improvement opportunities.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Collaborate with H
         </span>
         <span>
          C
         </span>
         <span>
          partners for cross-functional insights.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Transition into H
         </span>
         <span>
          C
         </span>
         <span>
          operations for broader engagement after training.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
         <br/>
         <br/>
         <br/>
         <br/>
        </span>
       </li>
      </ul>
      <strong>
       <span>
        Qualifications:&nbsp;
        <br/>
       </span>
      </strong>
      <ul>
       <li>
        <span>
         <span>
          Bachelor's degree in data science
         </span>
         <span>
          ,
         </span>
         <span>
          S
         </span>
         <span>
          tatistics, Human Resources, or related field.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Experience in H
         </span>
         <span>
          C
         </span>
         <span>
          data analysis or a similar analytical role.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Proficiency
         </span>
         <span>
          in data visualization and analytics platforms.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
         <br/>
         <br/>
        </span>
       </li>
      </ul>
      <strong>
       <em>
        <span>
         Skills:
        </span>
       </em>
       <span>
        &nbsp;
        <br/>
       </span>
      </strong>
      <ul>
       <li>
        <span>
         <span>
          Strong analytical and numerical skills.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Experience with data visualization software, e.g., Power BI, Tableau.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Understanding of HR functions and workforce data management.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <ul>
       <li>
        <span>
         <span>
          Effective communication of analytical findings with non-technical stakeholders.
         </span>
        </span>
        <span>
         &nbsp;
         <br/>
        </span>
       </li>
      </ul>
      <p>
       <strong>
        Required Skills
        <br/>
        <br/>
       </strong>
       <p>
        <strong>
         Optional Skills
         <br/>
        </strong>
        Accepting Feedback, Accepting Feedback, Active Listening, Alteryx (Automation Platform), Communication, Data Analytics, Data Cleaning, Data-Driven Decision Making (DIDM), Data Entry, Data Integration, Data Migration, Data Quality, Data Visualization, Emotional Regulation, Empathy, Human Resources (HR) Consulting, Human Resources (HR) Metrics, Human Resources (HR) Project Management, Human Resources (HR) Report, Human Resources (HR) Technology Solution Architecture, Human Resources Information System (HRIS), Human Resources Management (HRM), Inclusion, Information Rights Management (IRM), Intellectual Curiosity {+ 13 more}
        <br/>
        <br/>
        <p>
         <strong>
          <span>
           Desired Languages
          </span>
         </strong>
         <em>
          <span>
           (If blank, desired languages not specified)
           <br/>
           <br/>
          </span>
         </em>
         <p>
          <strong>
           Travel Requirements
           <br/>
           <br/>
          </strong>
          <p>
           <strong>
            Available for Work Visa Sponsorship?
            <br/>
            <br/>
           </strong>
           <p>
            <strong>
             Government Clearance Required?
             <br/>
             <br/>
            </strong>
            <p>
             <strong>
              Job Posting End Date
              <br/>
              <br/>
              <br/>
              <br/>
             </strong>
            </p>
           </p>
          </p>
         </p>
        </p>
       </p>
      </p>
     </p>
    </p>
   </p>
  </p>
 </p>
</div>


Associate - Performance Metrics Data Analyst

<div><p><b>Line of Service
</b></p>Internal Firm Services
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>IFS - Human Capital (HC)
<p></p><p><b>Management Level
</b></p>Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in people operations primarily focus on managing the people lifecycle and the day-to-day operational tasks related to managing employees. This includes activities such as employee onboarding, offboarding, payroll and benefits administration, absence management, employee record-keeping, compliance with labour laws and regulations, and managing employee inquiries and issues. These individuals enable HC processes and systems to run smoothly in order to efficiently support our workforce.
<br>
<br>
Those in HR information systems (HRIS), data and analytics at PwC will focus on enabling process optimization, automation, efficient data management, reporting and leveraging data to drive insights and make informed business decisions in the HRIS data and analytics space. Your work will involve implementing technology solutions and utilising advanced analytics techniques to streamline HC processes, enhance employee experience and support business and human resource clients to optimise operations and achieve strategic goals.
<p></p><div><p>The Performance Metrics Data Analyst will support the H C department by examining data patterns, creating reports, and leveraging analytics to enhance workforce efficiency and productivity. This position will focus on collecting, interpreting, and disseminating performance data and ultimately handling Performance technologies and end to end performance related ope rations .
</p></div><p></p><div><p><b>Key Responsibilities:
</b></p></div><div><ul><li><p>Understand and adopt performance data for strategic H C decisions.
</p></li></ul></div><div><ul><li><p>Develop detailed reports and dashboards using data analytics tools.
</p></li></ul></div><div><ul><li><p>Conduct analysis to identify trends and performance improvement opportunities.
</p></li></ul></div><div><ul><li><p>Collaborate with H C partners for cross-functional insights.
</p></li></ul></div><div><ul><li><p>Transition into H C operations for broader engagement after training.
</p></li></ul></div><p></p><div><div><p><b>Qualifications:
</b></p></div><div><ul><li><p>Bachelor's degree in data science , S tatistics, Human Resources, or related field.
</p></li></ul></div><div><ul><li><p>Experience in H C data analysis or a similar analytical role.
</p></li></ul></div><div><ul><li><p>Proficiency in data visualization and analytics platforms.
</p></li></ul></div><p></p><div><p><b><i>Skills:
</i></b></p></div><div><ul><li><p>Strong analytical and numerical skills.
</p></li></ul></div><div><ul><li><p>Experience with data visualization software, e.g., Power BI, Tableau.
</p></li></ul></div><div><ul><li><p>Understanding of HR functions and workforce data management.
</p></li></ul></div></div><div><div><ul><li><p>Effective communication of analytical findings with non-technical stakeholders.
</p></li></ul></div></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Alteryx (Automation Platform), Communication, Data Analytics, Data Cleaning, Data-Driven Decision Making (DIDM), Data Entry, Data Integration, Data Migration, Data Quality, Data Visualization, Emotional Regulation, Empathy, Human Resources (HR) Consulting, Human Resources (HR) Metrics, Human Resources (HR) Project Management, Human Resources (HR) Report, Human Resources (HR) Technology Solution Architecture, Human Resources Information System (HRIS), Human Resources Management (HRM), Inclusion, Information Rights Management (IRM), Intellectual Curiosity {+ 13 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

Systems Limited

<div><p>We are seeking an experienced Data Engineer with hands-on expertise in building and optimizing data pipelines and workflows. The ideal candidate will have strong experience with Azure Data Factory, Microsoft Fabric, and PySpark.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>Design, develop, and maintain scalable data pipelines using Azure Data Factory.</p>
</li>
<li><p>Work with Microsoft Fabric to enhance data warehousing and analytics capabilities.</p>
</li>
<li><p>Develop and optimize ETL processes using PySpark.</p>
</li>
<li><p>Ensure data integrity, quality, and availability across systems.</p>
</li>
<li><p>Collaborate with cross-functional teams including data scientists, analysts, and product managers.</p>
</li>
<li><p>Monitor and troubleshoot data workflows to ensure optimal performance and reliability.</p>
</li>
<li><p>Maintain documentation and follow best practices in data engineering.</p></li></ul><br>
<p>
</p><h3 class="jobSectionHeader"><b>Requirements:</b></h3>
<ul>
<li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</p>
</li>
<li><p>5+ years of experience in data engineering or similar roles.</p>
</li>
<li><p>Proven expertise in Azure Data Factory</p>
</li>
<li><p>Hands-on experience with Microsoft Fabric.</p>
</li>
<li><p>Proficiency in PySpark and distributed data processing.</p>
</li>
<li><p>Strong understanding of data warehousing concepts and cloud architecture.</p>
</li>
<li><p>Excellent problem-solving and communication skills.</p>
</li>
<li><p>Ability to work independently and within a team environment.</p></li></ul></div>

Senior Consultant Data Analytics

Recruiters

<p><b>Job Position &ndash; QA / QC Lab Analyst - (Paint &amp; Coating Industry Preferred)</b></p><p><b>Location: SITE Industrial Area</b></p><p>We are looking for a <b>QA / QC Lab Analyst</b> to join our team in the <b>Building Construction Manufacturing Industry</b>. The ideal candidate should have hands-on experience in laboratory testing, product evaluation, and quality control related to paints, coatings, and related chemical products.</p><p><b>Key Responsibilities:</b></p><ul><li>Assist in formulation, development, and testing of products.</li><li>Conduct laboratory tests for viscosity, density, gloss, adhesion, hardness, and other standard parameters.</li><li>Support quality control (QC) activities by performing routine checks on raw materials and finished products.</li><li>Maintain laboratory equipment, records, and samples in compliance with safety standards.</li><li>Assist senior chemists in research, trials, and product improvement projects.</li><li>Prepare technical reports and maintain test data for analysis.</li></ul><p><b>Requirements:</b></p><ul><li>Diploma / B.Sc. in Chemistry, Chemical Technology, or a related field.</li><li>2&ndash;3 years&rsquo; experience as Lab Assistant in the <b>Paint &amp; Coating Industry</b> (mandatory).</li><li>Familiarity with laboratory testing procedures, handling of raw materials, and quality control practices.</li><li>Strong attention to detail, record-keeping, and lab safety practices.</li><li>Team player with the ability to work under supervision.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs50,000.00 - Rs55,000.00 per month</p><p>Work Location: In person</p>

Male QA / QC Lab Analyst - (Paint & Coating Industry Preferred)

VERSUS™

<p><b>Job Title: Senior QA/QC Analyst </b><br/><b>Location:</b> Gulshan-e Maymar Site-II<br/><b>Department:</b> Quality Control<br/><b>Employment Type:</b> Full Time</p><p><b>Job Summary:</b></p><p>We are seeking a detail-oriented and motivated experienced QC Analyst with a strong background in chemistry and hands-on experience in analytical techniques. The ideal candidate will assist in laboratory operations, perform routine testing, and ensure compliance with standard procedures.</p><p><b>Key Responsibilities:</b></p><ul><li>Perform analytical testing using UV- Spectroscopy, TLC (Thin Layer Chromatography), and extraction processes.</li><li>Operate and maintain analytical instruments (HPLC, pH meters, etc.) as required.</li><li>Prepare samples and standards for analysis.</li><li>Accurately document test results and maintain laboratory records.</li><li>Report deviations, non-conformities, and out-of-specification (OOS) results to supervisors.</li><li>Follow Good Laboratory Practices (GLP) and safety protocols.</li><li>Assist in method validation and calibration of equipment.</li><li>Support lab cleanliness and inventory management.</li></ul><p><b>Qualifications &amp; Skills:</b></p><ul><li>Bachelor&rsquo;s degree in chemistry, Food Science, Industrial Chemistry, or related field.</li><li>2-3 years of relevant experience.</li><li>Hands-on experience with UV Spectroscopy, TLC, extractions, and other lab instruments.</li><li>Familiarity with GMP/GLP guidelines is a plus.</li><li>Strong attention to detail and ability to follow SOPs.</li><li>Good communication skills for reporting discrepancies.</li><li>Basic computer skills (MS Office, or data analysis software).</li></ul><p><b>Benefits:</b></p><ul><li>Competitive salary.</li><li>Conveyance allowance.</li><li>Training &amp; development opportunities.</li></ul><p><b>How to Apply:</b></p><p>Interested candidates should send their CV by applying directly on Indeed.</p><p>Female candidates are preferred.</p><p>Email to: careers@algronic.com by mentioning position in subject.</p><p>Job Type: Full-time</p><p>Pay: Rs60,000.00 - Rs75,000.00 per month</p><p>Application Question(s):</p><ul><li>In which area of Karachi you live?</li></ul><p>Experience:</p><ul><li>QA: 2 years (Required)</li></ul><p>Location:</p><ul><li>Karachi (Required)</li></ul><p>Work Location: In person</p>

Senior QA/QC Analyst (Pharmaceutical Industry)

Right Angle Consultant

<p><b>Role Overview:</b><br/>We&rsquo;re hiring a <b>Power BI &amp; Data Analyst</b> with strong skills in <b>data integration, modeling, DAX, and dashboard optimization</b>&mdash;preferably with FMCG or retail analytics experience.</p><p><b>Key Responsibilities:</b></p><ul><li>Connect and integrate data from Excel, SPSS, SQL Server, Google Sheets, etc.</li><li>Build efficient data models (star/snowflake schema, bridge tables).</li><li>Develop advanced DAX measures (YoY growth, weighted averages, fiscal calendars).</li><li>Clean and transform data using Power Query.</li><li>Create interactive dashboards with hierarchies, drillthroughs, and filters.</li><li>Optimize report performance and implement Row-Level Security (RLS).</li><li>Handle FMCG KPIs like market share, sales trends, and price elasticity.</li></ul><p><b>Requirements:</b></p><ul><li>2+ years&rsquo; experience with Power BI Desktop &amp; Service.</li><li>Strong knowledge of DAX, Power Query, and data modeling.</li><li>Experience with multi-source data and different refresh schedules.</li><li>Understanding of FMCG datasets (retail audits, surveys, POS).</li><li>Strong data cleaning and analysis skills.</li></ul><p><b>Preferred:</b> SQL, SPSS, FMCG/Retail experience.</p><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Power BI &amp; Data Analyst (FMCG / Retail Analytics): 3 years (Required)</li></ul><p>Work Location: In person</p>

Power BI & Data Analyst (FMCG / Retail Analytics)

Explore 760+ Senior data analyst in Karachi this September. Find roles across top companies and apply now to boost your career.

760 senior data analyst jobs IN Karachi

Data Analyst (Sage Experience)

Associate - Performance Metrics Data Analyst

Associate - Performance Metrics Data Analyst

Senior Consultant Data Analytics

Male QA / QC Lab Analyst - (Paint & Coating Industry Preferred)

Senior QA/QC Analyst (Pharmaceutical Industry)

Power BI & Data Analyst (FMCG / Retail Analytics)