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Cabcall Outsource

Job Title: Data Analyst Location: Soan Gardens, Islamabad Working Hours: 12 PM to 8 PM Job type: Full time, On-siteJob Overview: We are looking for a detail-oriented Data Entry Operator to manage, organize, and maintain our company&rsquo;s digital information. This role covers data capture, digitization, infrastructure maintenance, migration, integration, and quality control, ensuring that all data is accurate, secure, and readily available for business use.Job Responsibilities: 1. Data Capture &amp; Digitization<ul><li>Primary Data Entry: Converting all incoming physical records, handwritten notes, and paper forms into structured digital formats using MS Excel, Google Sheets, and other data entry tools.</li><li>Archiving: Scanning and indexing physical documents into the digital database using Google Drive and document management tools to ensure a paperless workflow.</li><li>Transcription: Ensuring high-speed and high-accuracy entry of raw information into central tracking systems using Excel-based templates, Google Sheets, and internal data management systems.</li></ul>2. Data Infrastructure &amp; Maintenance<ul><li>System Administration: Managing the organization and health of all company data within the Google Workspace ecosystem (Google Sheets, Google Drive) and other structured databases.</li><li>Data Cleansing: Periodically auditing the database using MS Excel functions, Google Sheets formulas, and data validation tools to remove duplicates, fix formatting errors, and ensure data consistency.</li><li>Folder Hierarchy: Developing and maintaining a logical digital filing system within Google Drive and shared databases so that all company data remains searchable, organized, and secure.</li></ul>3. Data Migration &amp; Integration<ul><li>Cross-Platform Synchronization: Moving and reconciling data between different software platforms using Excel, Google Sheets, and data import/export tools.</li><li>Data Mapping: Structuring and mapping data fields during migration to ensure accurate placement and integrity across systems.</li></ul>4. Quality Control &amp; Reporting<ul><li>Validation: Cross-checking digital outputs against original source materials using Excel validation tools, Google Sheets checks, and audit logs to guarantee high data reliability.</li><li>Performance Metrics: Maintaining a log of data processed and generating basic insights and progress reports using MS Excel dashboards, Google Sheets reports, and Power BI visualizations.</li><li>Support: Acting as the point of contact for the team to help locate, extract, and analyze specific data points from the system using Excel, Google Sheets, and Power BI reporting tools.</li></ul>Requirements &amp; Qualifications:<ul><li>Experience: 1&ndash;2 years of experience in data entry, data management, or a similar role.</li><li>Education: Bachelor&rsquo;s degree in Business Administration, Statistics, Mathematics, Computer Science, or a related field.</li><li>Tools: Proficiency in MS Excel, Google Sheets, and Power BI.</li><li>Skills: Strong attention to detail with the ability to manage and maintain accurate data records.</li></ul>Job Types: Full-time, Contract Contract length: 11 monthsWork Location: In person

Data Analyst

Provox Global Solutions

We are seeking an experienced Data Analyst with strong expertise in DOMO to join our data analytics team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence dashboards and reports using the DOMO platform, while providing actionable insights to drive data-driven decision-making across the organization.Key Responsibilities<ul><li>Design, develop, and maintain interactive dashboards and visualizations in DOMO to support business objectives</li></ul><ul><li>Extract, transform, and load (ETL) data from multiple sources into DOMO using DataFlows, Connectors, and APIs</li></ul><ul><li>Collaborate with business stakeholders to understand reporting requirements and translate them into technical specifications</li></ul><ul><li>Optimize DOMO DataFlows and datasets for performance and efficiency</li></ul><ul><li>Perform data quality checks and validation to ensure accuracy and consistency of data</li></ul><ul><li>Create and maintain documentation for DOMO reports, dashboards, and data processes</li></ul><ul><li>Provide training and support to end-users on DOMO platform usage and best practices</li></ul><ul><li>Conduct ad-hoc analysis and generate insights to support strategic business decisions</li></ul><ul><li>Monitor dashboard performance and implement improvements based on user feedback</li></ul><ul><li>Stay current with DOMO platform updates, new features, and best practices</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field</li></ul><ul><li>2-4 years of experience as a Data Analyst or similar role</li></ul><ul><li>Proven experience with DOMO platform, including dashboard creation, Data Flows, and data connectors</li></ul><ul><li>Experience with ETL processes and data integration</li></ul><ul><li>Proficiency in data visualization best practices and storytelling with data</li></ul><ul><li>Strong analytical and problem-solving skills</li></ul><ul><li>Excellent communication skills with ability to present complex data to non-technical stakeholders</li></ul>Preferred Qualifications<ul><li>DOMO certification (e.g., DOMO Certified Analyzer, DOMO Certified Developer)</li></ul><ul><li>Experience with other BI tools (Tableau, Power BI, Looker)</li></ul>Technical Skills<ul><li>DOMO platform (Dashboards, Cards, DataFlows, Magic ETL, SQL DataFlows, Connectors)</li></ul><ul><li>Data visualization tools and techniques</li></ul><ul><li>Microsoft Excel (advanced functions, pivot tables, data analysis)</li></ul><ul><li>Database management systems (MySQL, PostgreSQL, SQL Server, etc.)</li></ul><ul><li>Data modeling and schema design</li></ul>Job Type: Contract Contract length: 3 monthsWork Location: In person

Data Analyst - DOMO

Magna Foodservice Limited

Overview:We are seeking a skilled and experienced Business Intelligence (BI) Analyst to join our team. As a BI Analyst with at least 4 years of experience, you will play a crucial role in analyzing complex data sets, generating actionable insights, and providing data-driven recommendations to drive business growth and efficiency. Your expertise in data analysis, reporting, and visualization will contribute to strategic decision-making and help stakeholders understand key business metrics.Responsibilities:<ul><li>Data Analysis: Collect, interpret, and analyze large volumes of data from various sources to identify trends, patterns, and correlations. Apply statistical techniques and advanced analytics to extract meaningful insights.</li><li>Reporting and Dashboards: Develop and maintain reports, dashboards, and data visualizations using BI tools such as Tableau, Power BI, or similar tools. Present information in a clear, concise, and visually appealing manner to stakeholders at different levels.</li><li>Data Modeling and ETL: Collaborate with data engineers to design and optimize data models that support reporting and analytics needs. Assist in the extraction, transformation, and loading (ETL) of data from various systems into the data warehouse.</li><li>Requirements Gathering: Work closely with business stakeholders to understand their reporting and analytics requirements. Translate business needs into technical specifications and recommend appropriate data solutions.</li><li>Performance Monitoring: Monitor key performance indicators (KPIs) and develop tracking mechanisms to evaluate business performance. Identify opportunities for improvement and provide recommendations to drive operational efficiency and effectiveness.</li><li>Data Quality and Governance: Ensure data accuracy, consistency, and integrity by implementing data quality controls and performing regular data audits. Contribute to data governance initiatives and adhere to data privacy and security policies.</li><li>Cross-functional Collaboration: Collaborate with teams across the organization, including finance, marketing, operations, and IT, to gather insights and support decision-making processes. Act as a subject matter expert on data analytics and provide training and guidance to stakeholders as needed.</li><li>Continuous Learning and Innovation: Stay updated with the latest trends and advancements in BI and data analytics. Explore new tools, techniques, and methodologies to improve data analysis capabilities and drive innovation within the organization.</li></ul>Qualifications:<ul><li>Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Business Analytics.</li><li>Minimum of 4 years of professional experience as a BI Analyst.</li><li>Strong proficiency in SQL for data extraction and manipulation.</li><li>Experience with at least one BI tool such as Tableau, Power BI, QlikView, or similar tools.</li><li>Advanced knowledge of data visualization principles and best practices.</li><li>Solid understanding of data modeling concepts and ETL processes.</li><li>Proficiency in statistical analysis and familiarity with statistical tools such as R or Python.</li><li>Strong problem-solving skills and the ability to translate complex data into actionable insights.</li><li>Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.</li><li>Strong attention to detail and a commitment to delivering high-quality work.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthApplication Question(s):<ul><li>Office is located in Pakland City Center, I-8 Markaz, Islamabad. We are operating in Evening time, 2pm to 11pm.</li></ul>Are you willing to work in these timings and location ?Experience:<ul><li>Business Analysis: 4 years (Required)</li></ul>Work Location: In person

Data Analyst (UK-Based Company)

Impact Business Technologies

Job SummaryWe are looking for a Data Scientist who can analyze large and diverse datasets to extract meaningful insights and build data-driven solutions. The role involves working on multiple business problems including, but not limited to, marketing data analysis, user behavior analysis, operational analytics, and predictive modeling.The ideal candidate is curious, analytical, and capable of translating data into actionable business insights.Key Responsibilities<ul><li>Analyze structured and unstructured data from multiple sources</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies</li><li>Build statistical and machine learning models for prediction, classification, and clustering</li><li>Clean, preprocess, and validate large datasets</li><li>Design and maintain dashboards and reports for business stakeholders</li><li>Work on marketing, product, operational, and business analytics use cases as required</li><li>Conduct A/B testing and experiment analysis</li><li>Collaborate with cross-functional teams to define data problems and deliver insights</li><li>Document models, assumptions, and findings clearly</li></ul>Required Skills &amp; QualificationsMust Have<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics or related field</li><li>Minimum 1 year of experience working as data scientist.</li><li>Strong proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn)</li><li>Good understanding of statistics and probability</li><li>Experience with SQL and relational databases</li><li>Familiarity with machine learning algorithms (regression, classification, clustering)</li><li>Ability to interpret data and communicate insights clearly</li><li>Experience with Power BI / Tableau / Looker</li><li>Exposure to NLP or time-series analysis</li><li>knowledge of cloud platforms (AWS / Azure / GCP)</li><li>Experience working with APIs and large-scale datasets</li><li>Familiarity with data pipelines and ETL concepts</li></ul>Tools &amp; Technologies<ul><li>Python, SQL</li><li>Jupyter Notebook</li><li>Power BI / Tableau</li><li>Excel / Google Sheets</li><li>Git (version control)</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving skills</li><li>Ability to explain complex concepts in simple terms</li><li>Ownership mindset and attention to detail</li><li>Willingness to learn and work across different problem domains</li></ul>Job Type: Full-timePay: Rs170,000.00 - Rs175,000.00 per monthWork Location: In person

AI Desk Data Analyst

Future Connect Training & Recruitment Ltd

<div>
 
 About Future Connect Training &amp; Recruitment Ltd
 
 
 
 
 
 Future Connect Training &amp; Recruitment Ltd is a leading provider of practical, hands-on training in IT and Data Science, working closely with professionals and businesses across the UK market. Our programs focus on making candidates job-ready from day one through real-world projects, flexible learning schedules, and personalized guidance.
 
 
 
 
 
 We equip learners with industry-relevant IT and data skills and connect them with an extensive network of organizations actively seeking skilled technology professionals.
 
 
 
 
 
 
 Responsibilities
 
 
 
 We are looking for a passionate and knowledgeable Data Science Trainer to join our team. The ideal candidate should have strong expertise in Data Science and Data Analysis and the ability to effectively train and mentor students or professionals in industry-relevant tools and technologies.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Deliver engaging training sessions in Data Science and Data Analysis
 
 
 &bull; Develop and implement effective lesson plans and training materials
 
 
 &bull; Guide learners in practical projects and real-world problem solving
 
 
 &bull; Mentor students and help them overcome learning challenges
 
 
 &bull; Adapt teaching methods to suit different learning styles and skill levels
 
 
 
 
 
 
 Qualifications
 
 
 
 Required Skills &amp; Expertise:&bull; Strong knowledge of Data Science and Data Analysis&bull; Experience with tools and technologies such as Python, SQL, Git, Machine Learning, Power BI, Tableau, and Advanced Excel.
 
 
 
 
 
 Excellent communication and presentation skills.
 
 
 Strong problem-solving and mentoring abilities.
 
 
 Experience in lesson planning and curriculum development.
 
 
 
 
 
 Educational Requirements: Degree in Data Science, Business Analytics, Computer Science, or a related field
 
 
 
 
 
 💰 Salary: PKR 50,000 &ndash; 70,000
 
 
 🕒 Working Hours: 2:00 PM &ndash; 11:00 PM (PKT)
 
 
 
 
 
 If you are passionate about teaching and want to help learners build strong careers in Data Science, we would love to hear from you.
 
 
 
 
</div>

Data Science/Data Analyst Trainer

Pro Global Pvt Ltd

Job Summary: The EDI Analyst &ndash; Billing is responsible for managing electronic data interchange (EDI) processes related to billing operations. This role ensures accurate transmission of billing data between internal billing systems and external clients or partners. The analyst will monitor EDI transactions, resolve errors, and ensure compliance with billing and data standards.Key Responsibilities:<ul><li>Manage and monitor EDI billing transactions to ensure accurate and timely data exchange.</li><li>Process and validate billing files through EDI systems and billing software.</li><li>Identify, troubleshoot, and resolve EDI transaction errors or rejections.</li><li>Work closely with the Billing, Finance, and IT teams to ensure smooth data flow between systems.</li><li>Maintain and update EDI mapping, configurations, and documentation.</li><li>Analyze billing reports and ensure data accuracy before submission to clients or partners.</li><li>Coordinate with clients or vendors to resolve EDI or billing discrepancies.</li><li>Ensure compliance with EDI standards, billing procedures, and company policies.</li><li>Monitor system performance and recommend improvements to enhance billing automation and efficiency</li></ul>Ability to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>EDI Analyst: 1 year (Required)</li></ul>Work Location: In person

EDI Analyst - Billing

Zong CMPak Ltd

<div>
 
 Job Purpose:
 
 <ul>
 <li>
 To join the Intelligent Cockpit and Analytics team as a Data Analyst, focusing on ad hoc data analysis and the design of reports and dashboards using MicroStrategy (MSTR)
 </li>
 </ul>
 
 Job Responsibilities:
 
 <ul>
 <li>
 Extract and analyze data from Teradata and Big Data platforms to support the Intelligent Cockpit with actionable insights and ad hoc analytical requirements
 </li>
 <li>
 Translate business requirements into well-defined KPIs, metrics, and analytical outputs by writing optimized queries and performing in-depth analysis
 </li>
 <li>
 Design, develop, and maintain interactive reports and dashboards using MicroStrategy (MSTR) in alignment with Intelligent Cockpit standards and governance
 </li>
 </ul>
 
 
 
 Eligibility Criteria (Education, Knowledge, Experience and Skills):
 
 
 
 
 Education:
 
 <ul>
 <li>
 Should have bachelor's degree or above in Computer Science / Engineering / Statistics / IT / BBA-MIS.
 </li>
 </ul>
 
 Work Experience:
 
 <ul>
 <li>
 Should have relevant experience preferably 3 to 4 years.
 </li>
 </ul>
 
 Skills &ndash; Generic:
 
 <ul>
 <li>
 Should be passionate about data, information management, and its role for organizational decision making and performance boost
 </li>
 <li>
 Ability to work in a challenging environment and sustain pressure
 </li>
 <li>
 Have a keen attention to accuracy, proficiency, and time management
 </li>
 <li>
 Good analytical skills and decision-making
 </li>
 <li>
 Potential to achieve results with personal efforts and team coordination
 </li>
 <li>
 Effective communication and negotiation skills for dealing with technical and business alike
 </li>
 </ul>
 
 Skills &ndash; Job Specific:
 
 <ul>
 <li>
 Strong expertise in SQL for data extraction, transformation, and analysis across Teradata and Big Data environments
 </li>
 <li>
 Hands-on experience in designing, developing, and maintaining interactive reports, dashboards, and scorecards using MicroStrategy (MSTR), including KPI visualization and performance monitoring
 </li>
 <li>
 Solid understanding of data management concepts, analytical data marts, and BI/DWH solution development methodologies within the SDLC framework
 </li>
 <li>
 Strong analytical skills with the ability to deliver quick, accurate, and actionable insights to meet critical business requirements Experience working with large analytical data marts and Big Data technologies such as Data Warehousing and Hadoop
 </li>
 <li>
 Basic understanding of Telecom and cellular business processes and performance metrics
 </li>
 </ul>
</div>

Sr. Executive DI - Adhoc

Explore 259+ Data analyst in Islamabad this March. Find roles across top companies and apply now to boost your career.