data analyst

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data analytics analyst

HRS-PRO

<p><b>Job Title: HR Data Analytics Executive / Analyst / Specialist</b><br/><b>Department</b>: Human Resources.<br/><b>Reports To</b>: HR Manager<br/><b>Location</b>: PECHS Block 6, Karachi<br/><b>Employment Type</b>: Full-time</p><p><i><b>Key Responsibilities:</b></i></p><p>Data Collection &amp; Management<br/>HR Metrics &amp; Reporting<br/>Data Analysis<br/>Business Intelligence Support<br/>Compliance &amp; Audits<br/>Process Improvement<br/>Cross-Functional Collaboration</p><p><i><b>Required Skills &amp; Qualifications</b></i></p><ul><li>Bachelor's degree in HR, Business Analytics, Statistics, Computer Science, or a related field.</li><li>1&ndash;3 years of experience in HR analytics, data analysis, or business intelligence roles.</li><li>Strong proficiency in MS Excel / Google Sheets (VLOOKUP, Pivot Tables, Charts, etc.). Reporting tools (Power BI, Tableau, Looker Studio).</li><li>Basic knowledge of SQL or Python (optional but preferred).</li><li>Strong analytical and problem-solving skills.</li></ul><p><b>Contact Details:</b> 0315-2006548 <i><b>Subhan HR</b></i></p><p>Job Type: Full-time</p><p>Pay: Rs40,000.00 - Rs50,000.00 per month</p><p>Work Location: In person</p>

HR DATA ANALYTICS

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)

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>

<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

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)

Explore 683+ Data analytics analyst in Karachi this September. Find roles across top companies and apply now to boost your career.

683 data analytics analyst jobs IN Karachi

HR DATA ANALYTICS

Power BI & Data Analyst (FMCG / Retail Analytics)

Data Analyst

Data Analyst

Data Analyst

Associate - Performance Metrics Data Analyst

Data Analyst (Sage Experience)