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Game District

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to provide actionable insights that drive business and game development decisions. You will work closely with game designers, developers, marketing teams, and product managers to optimize gameplay, monetization strategies, and user retention.Key Responsibilities<ul><li>Collect, clean, and organize data from multiple sources, including in-game telemetry, player feedback, and marketing campaigns.</li><li>Analyze player behavior, engagement, and monetization patterns to identify opportunities for growth and improvement.</li><li>Collaborate with cross-functional teams to provide data-driven recommendations for product updates and feature launches.</li><li>Monitor game performance in real-time and provide alerts for anomalies or significant trends.</li><li>Maintain and improve data pipelines for efficiency and scalability.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Economics, or a related field.</li><li>Proven experience as a Data Analyst or in a similar analytical role.</li><li>Strong proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).</li><li>Hands-on experience with Excel, Python, or R for data manipulation.</li><li>Knowledge of statistical methods and data modeling techniques.</li><li>Excellent analytical thinking, problem-solving, and attention to detail.</li><li>Strong communication skills to explain complex findings to non-technical audiences.</li></ul>Job Type: Full-timeWork Location: In personApplication Deadline: 22/08/2025

Data Analyst

Zarea.pk

Data AnalystLocation: Lahore Cantt. (On-site)Company: Zarea LimitedAbout Zarea:Zarea Limited is Pakistan&rsquo;s largest and fastest-growing digital marketplace for physical commodities. We provide a seamless digital experience by offering integrated services in logistics, warehousing, trade financing, and data analytics. Our commitment to transparency and innovation makes us a leader in the industry.Job SummaryWe are hiring a skilled Data Analyst with 2 to 3 years of experience in data visualization, reporting, and analytical problem-solving. The role involves transforming complex datasets into actionable insights that support decision-making across business units. This is an excellent opportunity to work with diverse data sources and contribute to Zarea&rsquo;s mission of digitising commodity trade.Key Responsibilities:<ul><li>Collect, clean, and validate large datasets from multiple sources.</li><li>Develop dashboards and interactive reports using tools such as Power BI, Tableau, or similar.</li><li>Perform exploratory data analysis to identify trends, anomalies, and opportunities.</li><li>Work with SQL to extract, manipulate, and analyze relational data.</li><li>Provide actionable insights to support strategic and operational decisions.</li><li>Collaborate with cross-functional teams including product, finance, and operations.</li><li>Document data processes, queries, and reporting structures.</li><li>Ensure accuracy, consistency, and security of business-critical data.</li><li>Support predictive modeling and business forecasting activities.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>2&ndash;3 years of experience as a Data Analyst or in a similar role.</li><li>Proficiency in SQL and relational databases (MySQL/PostgreSQL).</li><li>Strong skills in data visualization tools (Power BI, Tableau, or similar).</li><li>Proficiency in Excel (pivot tables, advanced formulas, macros).</li><li>Ability to present complex data in clear and simple ways.</li><li>Strong analytical and problem-solving skills.</li></ul>Work Schedule:Monday to Friday: 9:00 AM &ndash; 6:00 PMSaturday: 10:00 AM &ndash; 4:00 PMSalary: Market CompetitiveTo Apply: Please share your CV at hr@zarea.pkJob Type: Full-timeWork Location: In person

Zameen.com

<div>
 
 
 Job Brief:
 
 
 
 
 
 
 We are looking for a skilled Data Analyst with expertise in data analysis, KPI tracking, and reporting. The ideal candidate should be proficient in MS Excel, Google Looker Studio and Google Sheets to analyze data, develop reports, and provide insights to support data-driven decision-making processes.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain dashboards and reports in Google Looker Studio and Excel to track KPIs related to recovery staff performance, resident invoices, and inventory tracking.
 </li>
 <li>
 Perform data cleaning, transformation, and validation to ensure accuracy and integrity.
 </li>
 <li>
 Automate data processing tasks in MS Excel and Google Sheets for efficiency.
 </li>
 <li>
 Review CRM reports, filter, and clean data for accurate analysis.
 </li>
 <li>
 Conduct ad-hoc analysis to support different departments with data-driven insights.
 </li>
 <li>
 Maintain high-quality data accuracy and integrity.
 </li>
 <li>
 Maintain and update data repositories in Google Sheets and Excel, ensuring data is organized, accessible, and up-to-date.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to convey complex information in a clear and understandable manner.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 <li>
 Proficiency in data analysis and visualization tools such as: MS Excel, Google Sheets, Google Docs, Looker Studio, MS Word, MS Power Point, MS Visio.
 </li>
 <li>
 Qualifications: Bachelor&rsquo;s Degree.
 </li>
 <li>
 Relevant Experience in Data Analyst or in a similar role.
 </li>
 <li>
 Location: Lahore (Gulberg)
 </li>
 <li>
 Experience: 2-3 years
 </li>
 </ul>
</div>

Lahore University of Management Sciences

<div>
 
 
 Job Purpose
 
 
 
 The Data Analyst will play a critical role in supporting the Office of Student Affairs (OSA) by collecting, managing, analyzing, visualizing and reporting data to inform strategic decision-making for various domains. This role is ideal for a proactive individual who excels in data-driven environments and is excited to spearhead the upgradation of a comprehensive recruiter/student database management system. The successful candidate will also lead efforts in survey creation and analysis, student data analysis, program enhancements, and perform advanced data visualizations and statistical analysis.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 1. Data Collection and Automation:
 
 
 
 <ul>
 <li>
 Develop and implement automated data pipelines and collection methods (forms, surveys, dashboards).
 </li>
 <li>
 Optimize workflows with automation tools (Airtable automations, Fillout, Notion, n8n, etc.) to reduce manual processes
 </li>
 <li>
 Establish documentation for processes and ensure reproducibility for future team members
 </li>
 </ul>
 
 
 
 2. Data Analysis and Insights:
 
 
 
 <ul>
 <li>
 Collect, process, and analyze data from various sources, including surveys, academic records, placement data, and institutional databases, to generate actionable insights.
 </li>
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 Monitor and analyze trends in student data over time, using time series analysis and other statistical methods to support strategic planning and decision-making.
 </li>
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 Conduct statistical analyses, including hypothesis testing, to validate findings and support program/project enhancements.
 </li>
 </ul>
 
 
 
 3. Data Visualization and Reporting:
 
 
 
 <ul>
 <li>
 Build dashboards (Excel, Power BI, Airtable, etc.) that present real-time insights for internal staff and leadership.
 </li>
 <li>
 Translate technical data into accessible visuals and narratives for non-technical stakeholders.
 </li>
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 Support presentations, official reports, and external partner communication with well-designed visuals and metrics.
 </li>
 </ul>
 
 
 
 4. Database Development and Management:
 
 
 
 <ul>
 <li>
 Design, maintain, and continuously enhance centralized databases for various domains (e.g. students, alumni, faculty, university events, etc.)
 </li>
 <li>
 Ensure data integrity, standardization, and governance and implement automated workflows.
 </li>
 </ul>
 
 
 
 5. Collaboration and Stakeholder Engagement:
 
 
 
 <ul>
 <li>
 Work closely with IT, database specialists, program managers, and other departments to ensure data systems and analyses meet organizational needs.
 </li>
 <li>
 Engage with stakeholders at all levels to understand data requirements, present findings, and support data-driven decision-making across the Office of Student Affairs.
 </li>
 </ul>
 
 
 
 6. Project Leadership:
 
 
 
 <ul>
 <li>
 Spearhead key data projects, such as the development of new data systems or large-scale analyses, ensuring timely and successful completion.
 </li>
 <li>
 Maintain comprehensive documentation of data processes, methodologies, and project outcomes to ensure transparency and facilitate knowledge sharing.
 </li>
 </ul>
 
 
 
 7. Continuous Processes Improvement:
 
 
 
 <ul>
 <li>
 Continuously seek opportunities to enhance technical skills, stay current with industry trends, and apply new knowledge to improve data analysis and management practices.
 </li>
 <li>
 Identify opportunities to streamline and/or automate data processes, enhance data quality, and improve the efficiency and effectiveness of data-related tasks.
 </li>
 </ul>
 
 
 
 8. Ethical Data Handling:
 
 
 
 <ul>
 <li>
 Ensure that all data handling practices comply with relevant data privacy laws and institutional policies, particularly in relation to sensitive student data.
 </li>
 <li>
 Promote the ethical use of data within the Office of Student Affairs, ensuring that data is used responsibly to support student success and institutional goals.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 Technical Expertise:
 
 
 
 <ul>
 <li>
 Advanced proficiency in Excel (pivot tables, advanced formulas), SQL, and data visualization tools (Power BI or Tableau).
 </li>
 <li>
 Working knowledge of Python or R for statistical analysis and automation.
 </li>
 <li>
 Strong experience in data cleaning, survey analysis, and database management (e.g., Airtable, Oracle, SAS, or SPSS).
 </li>
 <li>
 Working knowledge of automations, survey development, and possibly AI integrations to reduce manual data collection processes.
 </li>
 </ul>
 
 
 
 Analytical &amp; Strategic Mindset:
 
 
 
 <ul>
 <li>
 Ability to translate complex datasets into dashboards, visual stories, and actionable insights that inform student affairs strategies.
 </li>
 <li>
 Demonstrated ability to identify institutional trends and propose evidence-based interventions.
 </li>
 </ul>
 
 
 
 Communication &amp; Collaboration:
 
 
 
 <ul>
 <li>
 Skilled in presenting technical findings in clear, accessible ways to non-technical audiences.
 </li>
 <li>
 Experience engaging with cross-functional teams (IT, academic staff, program managers) to define data needs and deliver outcomes.
 </li>
 </ul>
 
 
 
 Ethics &amp; Data Governance:
 
 
 
 <ul>
 <li>
 Commitment to confidentiality and integrity in handling sensitive student and other stakeholders&rsquo; data.
 </li>
 <li>
 Familiarity with data privacy regulations and institutional policies.
 </li>
 </ul>
 
 
 
 Professional Drive:
 
 
 
 <ul>
 <li>
 Detail-oriented, self-motivated, and committed to producing accurate, high-quality work.
 </li>
 <li>
 Proactively learns and applies new tools and best practices.
 </li>
 <li>
 Adaptable, empathetic, and aligned with a student-focused mission.
 </li>
 </ul>
 
 
 
 
 
 Behaviour
 
 
 <ul>
 <li>
 Highly motivated and self-starter
 </li>
 <li>
 Emotionally composed and intelligent approach
 </li>
 <li>
 Strong inter &amp; intrapersonal skills to manage relationships with internal and external stakeholders
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 Creative &amp; innovative brain to bring value-adding ideas.
 </li>
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 Effective communication and presentation skills
 </li>
 <li>
 Ability to work in a fast-paced environment and meet deadlines
 </li>
 </ul>
 
 
 
 
 
 Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Business/Data Analytics, or a related field.
 </li>
 <li>
 
 Desirable: Master&rsquo;s degree preferred
 
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 At least 2 years of relevant experience
 </li>
 <li>
 
 Desirable: Previous analytical experience working in Higher Education
 
 </li>
 </ul>
 
 
 
 
 
 
 Tools:
 
 
 
 <ul>
 <li>
 Proficiency in SQL, Excel, Power BI, and Canva
 </li>
 <li>
 Familiarity with Airtable, Oracle Analytics, Tableau, R, SAS, Python, and SPSS is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 What We Offer:
 
 
 
 
 A Learning Ecosystem
 
 
 
 LUMS offers a dynamic work culture that encourages learning and innovation, skills development, and contribution to areas beyond your job role. You will have the opportunity to learn and interact with the best academic minds in Pakistan, as well as to work with highly experienced professionals.
 
 
 
 Intellectual Freedom
 
 
 
 We believe in the pursuit of knowledge, provide the freedom to explore across different disciplines and value the diverse expression of all community members for mutual learning and advancement.
 
 
 
 Benefits
 
 
 
 LUMS offers competitive benefits to its academic and professional colleagues including Provident Fund, Group Life Insurance, EOBI for Pension Scheme, Outpatient medical coverage for self and family, and In-patient Health Insurance for self, spouse, and dependent children.
 
 
 
 Campus Perks
 
 
 
 The LUMS campus offers all the facilities and amenities of a world-class university, including a Sports Complex offering international standard courts for badminton, squash, tennis, basketball and volleyball, a FINA certified 25M swimming pool, and separate gyms for women and men. In addition to the LUMS Dining Center, there is a variety of eateries across campus offering popular cuisines, a breath-taking mosque, a medical centre, the LUMS Library, car parking as well as transport facilities for females, and a professionally run Day Care Center for children of community members.
 
 
 
 Discounts
 
 
 
 LUMS also provides a wide range of corporate discounts and internal educational discounts to its community as a token of each member&rsquo;s value to our community. Our internal educational discounts include waiver of undergraduate tuition fees of employees&rsquo; children studying at LUMS, scholarships for master&rsquo;s programs in several schools, and executive development programs offered by the nationally recognized Rausing Executive Development Center (REDC).
 
 
 LUMS is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace for all our employees. We do not discriminate on the basis of gender, race, religion, caste, ethnicity, age, non-disqualifying physical or psychological disability or social status. Candidates belonging to minority groups are encouraged to apply.
 
</div>

ACE Union

We are seeking a highly analytical and business-oriented Data Analyst to join our analytics division. This role is focused on transforming raw data into actionable insights that drive strategic decisions across the organization. The ideal candidate will have strong expertise in Power BI, data modeling, and translating complex datasets into intuitive dashboards and reports. A deep understanding of data relationships, visual storytelling, and a passion for enabling decision-making through data is essential.Duties &amp; Job Responsibilities:<ul><li>Design and develop interactive dashboards and reports using Power BI to deliver actionable insights aligned with business objectives.</li><li>Build robust data models in Power BI using DAX and industry best practices to enable scalable and efficient reporting.</li><li>Analyze large and complex datasets to uncover trends, patterns, and performance indicators that inform strategic and operational decisions.</li><li>Work closely with cross-functional stakeholders to understand requirements and translate them into effective data solutions.</li><li>Maintain high standards of data quality and integrity by validating sources, ensuring accurate transformations, and monitoring refresh pipelines.</li><li>Support the development of analytics by creating reusable datasets, promoting data literacy, and enabling business users.</li><li>Leverage SQL and Python for data manipulation, transformation, and automation of recurring analytics tasks.</li><li>Experience with data science techniques such as regression, classification, clustering, or forecasting is a strong plus and can support advanced analytical use cases.</li></ul>Education: Bachelor&rsquo;s degree in computer science, Finance or any related fieldExperience: 2-3 Years of working experience in the relevant field. Behavioral Skills:<ul><li>Problem-Solving Skills: Ability to approach challenges logically and find effective solutions.</li><li>Adaptability: Willingness to embrace change and learn new tools or methods.</li><li>Collaboration: Strong team player with a focus on building positive working relationships.</li><li>Communication: Clear and concise communication, both written and verbal, to convey complex ideas effectively.</li></ul>Competencies:<ul><li>Power BI Expertise: Proficiency in building impactful dashboards, data models, and visualizations using DAX and Power BI best practices to drive business insights.</li><li>Data Analysis &amp; Insight Generation: Strong analytical skills to interpret large, complex datasets and transform them into actionable insights that support strategic decisions.</li><li>Data Modeling: Experience in designing efficient, scalable data models tailored for performance and usability in BI environments.</li><li>Programming Skills: Experience in Python, SQL, and scripting for data manipulation and analysis.</li><li>Cloud Computing: Knowledge of cloud platforms, particularly AWS, for data storage and processing.</li><li>Automation: Hands on experience with Power Automate to optimize workflows and automate tasks.</li><li>Data Science Foundations (Plus): Exposure to data science techniques such as regression, clustering, or forecasting is a valuable plus for enabling predictive insights.</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs160,000.00 per monthApplication Question(s):<ul><li>Do you speak Do you speak English Proficiently ?</li></ul><ul><li>What is your current compensation package?</li><li>What is your expected salary?</li><li>Is it possible for you to commute daily to Gulberg-3 Lahore, or to relocate to Lahore city for this job?</li><li>The shift timing connected with the role is 01 PM PST to 10 PM PST. Is it feasible for you to work in these timings?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Analytics : 3 years (Required)</li></ul>Work Location: In person

Data Analyst Executive

ANALTYTICA

Job Description:We are looking for a Data &amp; Dashboard Analyst to transform raw data from spreadsheets into professional, interactive dashboards and reports for our clients. The ideal candidate has experience in data visualization, ensuring that all key performance indicators (KPIs) are accurately tracked, and presenting data points in a clear, actionable format. Experience with tools like Power BI, Looker Studio, or similar platforms are preferred. You will collaborate with both internal teams and clients to design dashboards that drive better supply chain decision-making.Key Responsibilities:<ul><li>Convert spreadsheet data into interactive dashboards using BI tools.</li><li>Visualize data points effectively to communicate insights at a glance.</li><li>Ensure all critical KPIs are tracked and reported accurately.</li><li>Collaborate with stakeholders to gather reporting requirements.</li><li>Maintain data quality and consistency across all sources.</li><li>Continuously improve dashboard usability and performance.</li><li>Stay updated on data visualization best practices and BI tool capabilities.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Data Analytics, Information Systems, Business, or related field.</li><li>1&ndash;2 years of relevant experience in dashboard creation, data visualization, or analytics.</li><li>Strong attention to detail and problem-solving abilities.</li><li>Proficiency in tools such as Power BI, Looker Studio, or Tableau.</li><li>Strong skills in Excel/Google Sheets; basic SQL knowledge is a plus.</li><li>Ability to interpret complex datasets and present them in visually engaging formats.</li></ul>Benefits &amp; Perks:<ul><li>Competitive salary package</li><li>9-month performance based appraisal cycle</li><li>5-day work week</li><li>WFH Leaves</li><li>Subsidized, hygienic in-house dinner</li><li>Sponsored annual domestic tour</li><li>Regular team dinners</li><li>Flexible and supportive work environment</li><li>Health insurance after completing 9 months</li><li>Continuous learning and development opportunities</li><li>Employee wellness and well-being programs</li><li>Opportunity for sponsored international tour (for long-term employees)</li></ul>Job Type: Full-Time (Mon- Fri)Mode: On-siteExperience: 1 to 2 YearsWorking Hours: 2:00 PM &ndash; 11:30 PMLocation: Tariq Block, Garden Town, Lahore.Drop you resume at : careers.ecomspot@gmail.comNote : Thank you for your interest. Only shortlisted candidates will be contacted.Job Type: Full-timePay: Rs70,000.00 - Rs80,000.00 per monthWork Location: In person

Dashboard & Reporting Analyst (Supply Chain Analytics)

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

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Dashboard & Reporting Analyst (Supply Chain Analytics)

Data Scientist, Tech