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amazon data analyst Jobs in Product Design Jobs In Product Design Jobs In Product Design Jobs In Karachi Pakistan

amazon data analyst

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data scientist Jobs in Product Design Jobs In Product Design Jobs In Product Design Jobs In Karachi Pakistan

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Tens Sourcing

Job Title: Data Analyst &ndash; Full Time PositionLocation: DHA Phase 8, KarachiCompany: Tens SourcingWe are seeking a talented and detail-oriented Data Analyst to join our team and help us make data-driven decisions to achieve our business goals.Position Overview: As a Data Analyst at Tens Sourcing, you will play a crucial role in collecting, analysing, and interpreting data to drive actionable insights that inform our strategic decisions. You will collaborate with cross-functional teams to develop reports, dashboards, and visualizations that facilitate data-driven decision-making and support our growth initiatives.Key Responsibilities:<ul><li>Collect, clean, and preprocess data from various sources, ensuring data accuracy and integrity.</li><li>Analyse and interpret complex datasets to identify trends, patterns, and insights.</li><li>Develop and maintain data models and statistical analyses to extract meaningful information.</li><li>Create and present reports, dashboards, and data visualizations to communicate findings to stakeholders.</li><li>Define data requirements and provide data-driven solutions.</li><li>Assist in designing and implementing data collection tools and strategies.</li><li>Conduct ad-hoc analysis to address specific business questions and challenges.</li><li>Stay updated on industry best practices and emerging trends in data analysis</li></ul>Qualifications:<ul><li>Bachelor's degree</li><li>Proven experience as a Data Analyst or related role</li><li>Proficiency in Microsoft Office &amp; Power BI</li><li>Strong data visualization skills</li><li>Experience with statistical analysis</li><li>Knowledge of data warehousing and database management systems</li><li>Excellent problem-solving and critical-thinking abilities</li><li>Strong communication and presentation skills to convey complex data findings to non-technical stakeholders</li><li>Attention to detail and a commitment to data accuracy</li><li>Ability to work both independently and collaboratively in a team environment</li></ul>Job Type: Full-timeWork Location: In person

Data Analyst

Mac Care

Job Description:Job SummaryWe&rsquo;re hiring a Data Analyst - VBC with strong expertise in data analytics to support our Value-Based Care (VBC) and MSSP initiatives. The role focuses on transforming healthcare data into actionable insights that improve performance, compliance, and patient outcomes.Key Responsibilities:&gt;Analyze and manage CCLF, HCC, and quality data for MSSP and VBC programs. &gt;Develop interactive dashboards using Power BI to visualize performance trends. &gt;Perform data transformation and cleaning using Power Query (2&ndash;3 years of hands-on experience). &gt;Collaborate with clinical and operations teams to identify high-risk populations and monitor quality measures. &gt;Support CMS reporting, risk adjustment analysis, and data-driven decision-making.Requirements: &gt;Bachelor&rsquo;s degree in Computer Science, Data Analytics, Public Health, or a related field. &gt;2&ndash;3 years of experience in healthcare data analytics or value-based care programs. &gt;Proven skills in: &gt; Power Query (2&ndash;3 years). &gt;Power BI (2 years). &gt;Data Transformation &amp; Interactive Dashboards. &gt;Understanding of CMS programs, HCC risk adjustment, and quality reporting. &gt;Strong analytical and problem-solving abilities with attention to detail. &gt;Experience with EMR/EHR systems, SQL, and population health tools.&gt;Location: DHA Phase 6 (On-site) &gt;Work Schedule: Monday to Friday, 06 PM &ndash; 03 AM (Night Shift) &gt;Job Type: Full-time, In-personCompany Benefits: &gt; Door-to-door transportation available free of cost. &gt; Medical &amp; Utility benefit &gt; Provident Fund facility &gt; Performance-based monthly bonusesJob Type: Full-timeWork Location: In person

Horizon Tech

About the RoleHorizon Tech is hiring a Data Analyst to strengthen our Data Analytics function within the Technology team. Reporting to the Head of Product Data, you will play a crucial role in transforming business needs into actionable data insights, reports, and automation solutions.You will work closely with cross-functional teams - including operations, product, and leadership &ndash; to develop dashboards, build data models, and automate key reporting pipelines. Your expertise in Python, SQL, Power BI, Looker Studio, and Google Cloud Platform (GCP) will help drive efficiency, accuracy, and visibility across our clinics and corporate operations.Based in Pakistan, you&rsquo;ll collaborate with distributed teams across time zones, ensuring that data is accurate, accessible, and meaningful for business decisions.Key ResponsibilitiesData Analysis &amp; Business Insight&middot; Partner with stakeholders to understand business requirements and define measurable KPIs.&middot; Perform data exploration, cleaning, and transformation to extract actionable insights.&middot; Present analyses and recommendations clearly to both technical and non-technical audiences.Dashboarding &amp; Reporting&middot; Design and maintain dynamic dashboards and reports in Power BI and Looker Studio.&middot; Build interactive visualizations to monitor performance, trends, and operational efficiency.&middot; Ensure data accuracy and consistency across reporting layers.SQL &amp; Database Management&middot; Write and optimize complex SQL queries for data extraction, aggregation, and validation.&middot; Collaborate with engineers to maintain and improve data pipelines and warehouse performance.&middot; Create views, stored procedures, and joins to support analytics workflows.Automation &amp; Scripting&middot; Use Python for automating recurring reporting tasks, data validation, and ETL processes.&middot; Develop scripts to streamline workflows, reduce manual dependencies, and improve reliability.&middot; Integrate APIs and third-party tools to enhance data accessibility and automation.Cloud &amp; Data Infrastructure&middot; Work within Google Cloud Platform (GCP) - primarily BigQuery, Cloud Storage, and Data Studio.&middot; Manage data ingestion and transformation pipelines within GCP. Documentation Governance&middot; Maintain documentation for datasets, metrics definitions, and automation processes.&middot; Ensure clarity and traceability of data sources and business rules.&middot; Support data governance and compliance practices across the organization.QualificationsEducation&middot; Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.Experience&middot; 2-3 years of experience as a Data Analyst, BI Analyst, or Data Engineer in a technology-driven environment.&middot; Hands-on expertise in:&sect; Python (pandas, NumPy, automation scripts)&sect; SQL (advanced query writing, joins, CTEs, optimization)&sect; Power BI and Looker Studio (dashboarding, DAX, data modeling)&sect; Google Cloud Platform (BigQuery, Cloud Storage)&middot; Proven experience building automated data pipelines and integrating multiple data sources.Skills &amp; Attributes&middot; Strong analytical and problem-solving mindset with attention to data accuracy.&middot; Excellent written and verbal communication in English.&middot; Ability to translate business needs into technical data solutions.&middot; Familiarity with Agile workflows and tools (e.g., Jira, Confluence, Git).&middot; Self-motivated, organized, and capable of managing multiple tasks in parallel.Job Location:&middot; Onsite. Suite No. 2002, 2nd Floor, Parveen Building, D-7, Shaheed-e-Millat Road, Bangalore Town, Block A, Karachi 75350, Sindh, Pakistan.Schedule:&middot; Work hours 3 PM to 12 AM PKT (Mon - Fri)Job Type: Full-timePay: Rs180,000.00 - Rs220,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li></ul>Experience:<ul><li>Data Analyst: 2 years (Required)</li></ul>Work Location: In person

HR Ways

About the job Amazon Data AnalystClient Company Introduction:A UAE based Ecommerce and Digital solution providers globally.About the role:We are looking for a data-driven and financially skilled Data Analyst for our ecommerce brands portfolio. This role blends financial acumen with e-commerce management ideal for candidates with ACCA, CA, or finance backgrounds who are passionate about digital retail.Key Responsibilities<ul><li>Data &amp; Financial Analysis</li><li>Analyze advertising data, sales trends and performance, Product P&amp;L statements .</li><li>Prepare monthly profitability and variance reports for &#65279;management.</li><li>Forecast inventory, ad budgets, and cash flow using Excel and BI tools.</li><li>Conduct SKU-level cost analysis incorporating FBA fees, logistics, PPC spend, and taxes.</li><li>Performance Insights</li><li>Generate actionable insights through dashboards and data visualization (Power BI, Excel, or Google Data Studio).</li><li>Identify underperforming products and recommend optimization strategies.</li><li>Work closely with finance and supply chain teams to ensure data accuracy.</li><li>Required Qualifications</li><li>ACCA / CA finalist or qualified (preferred), or BBA/MBA with strong finance background.</li><li>2 years of experience in data analytics (ideally e-commerce operations).</li><li>Proficiency in Excel (Pivot tables, Lookups, Power Query), Google Sheets, and BI tools.</li><li>Understanding of Amazon FBA/FBM, PPC campaigns, and retail analytics.</li><li>Strong analytical and presentation skills with attention to detail.</li><li>Preferred Skills</li><li>Experience with Helium10, Jungle Scout, or Sellerboard.</li><li>Knowledge of digital marketing analytics (ACoS, TACoS, CTR, conversion rate).</li><li>Experience in managing multiple brands or marketplaces (Walmart, Noon, Shopify, etc.).</li><li>Ability to present insights to leadership teams effectively.</li></ul>About HR Ways:HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world.Job Type: Full-timeWork Location: In person

Amazon Data analyst

ACCA Careers

<div>
 
 Client Company Introduction
 
 
 
 A UAE based Ecommerce and Digital solution providers globally.
 
 
 
 About The Role
 
 
 
 We are looking for a data-driven and financially skilled Data Analyst for our ecommerce brands portfolio. This role blends financial acumen with e-commerce management ideal for candidates with ACCA, CA, or finance backgrounds who are passionate about digital retail.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data &amp; Financial Analysis
 </li>
 <li>
 Analyze advertising data, sales trends and performance, Product P&amp;L statements .
 </li>
 <li>
 Prepare monthly profitability and variance reports for ﻿management.
 </li>
 <li>
 Forecast inventory, ad budgets, and cash flow using Excel and BI tools.
 </li>
 <li>
 Conduct SKU-level cost analysis incorporating FBA fees, logistics, PPC spend, and taxes.
 </li>
 <li>
 Performance Insights
 </li>
 <li>
 Generate actionable insights through dashboards and data visualization (Power BI, Excel, or Google Data Studio).
 </li>
 <li>
 Identify underperforming products and recommend optimization strategies.
 </li>
 <li>
 Work closely with finance and supply chain teams to ensure data accuracy.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience with Helium10, Jungle Scout, or Sellerboard. Knowledge of digital marketing analytics (ACoS, TACoS, CTR, conversion rate).
 </li>
 <li>
 Experience in managing multiple brands or marketplaces (Walmart, Noon, Shopify, etc.).
 </li>
 <li>
 Ability to present insights to leadership teams effectively
 </li>
 <li>
 Preferred Skills
 </li>
 <ul>
 <li>
 ACCA / CA finalist or qualified (preferred), or BBA/MBA with strong finance background.
 </li>
 <li>
 2 years of experience in data analytics (ideally e-commerce operations).
 </li>
 <li>
 Proficiency in Excel (Pivot tables, Lookups, Power Query), Google Sheets, and BI tools.
 </li>
 <li>
 Understanding of Amazon FBA/FBM, PPC campaigns, and retail analytics.
 </li>
 <li>
 Strong analytical and presentation skills with attention to detail.
 
 </li>
 </ul>
 </ul>
 
 About HRWAYS
 
 
 
 HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent.
</div>

Amazon Data Analyst

Teach The World Foundation

About Teach the World Foundation:Teach the World Foundation (TTWF) is a non-profit organization committed to eradicating illiteracy by leveraging digital technology to deliver quality education.Key Responsibilities:1. Dashboard Management<ul><li>Operate and maintain the Learning Dashboard, which merges backend data from TTWF and in-app platforms</li><li>Support the implementation of predictive models for student progress, attendance, and learning risk levels.</li><li>Generate weekly insight reports for internal teams to identify schools or students needing intervention.</li></ul>2. App-Specific Analytics Monitoring<ul><li>Independently access and interpret metrics from in-app dashboards to assess real-time student engagement and learning trajectories.</li><li>Reconcile in-app data with internal assessment and attendance records to validate learning trends.</li></ul>3. School Health Index (SHI) Analytics<ul><li>Support the generation and refinement of the School Health Index (SHI), a dynamic bench-marking tool that compares school- and region-level performance.</li><li>Help ensure SHI accuracy through validation with field data and stakeholder input.</li></ul>4. Predictive Modeling &amp; Advanced Analysis<ul><li>Analyze outputs from machine learning models built in collaboration between TTWF and MIT (using Python-based tools).</li><li>Surface trends and generate flags for high-performing, at-risk, or stagnant learners and schools.</li><li>Identify opportunities for content enhancement or field follow-up based on learning and engagement patterns.</li></ul>5. Data Pipeline Development &amp; Automation<ul><li>Manage and improve backend workflows including automated data scraping, cleaning, and structuring.</li><li>Support or co-develop a centralized data warehouse to ensure seamless integration across learning, operational, and assessment datasets.</li></ul>6. Cross-Departmental Collaboration<ul><li>Work cross-functionally to integrate findings into strategic decisions.</li><li>Share insights and recommendations in a clear, visual, and non-technical format for diverse internal audiences.</li></ul>7. Documentation &amp; Reporting<ul><li>Document analytical processes, data flow diagrams, and methodologies for continuity and replication.</li><li>Assist in the preparation of visual dashboards and insight summaries for external stakeholders and donors.</li></ul>Requirements:Required Qualification: Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Quantitative Economics, or a related field; Master&rsquo;s degree preferred.Years of Employment Experience:<ul><li>1&ndash;2 years of relevant experience in analytics, preferably in education, nonprofit, or impact-driven sectors.</li></ul>Travel or Location-Specific Requirements:<ul><li>Some travel to areas from head office</li></ul>Preferred Experience, Background, or SkillsetTechnical Skills<ul><li>Strong proficiency in Python for data extraction, modeling, and visualization (e.g., Pandas, Scikit-learn, Matplotlib).</li><li>Experience with web scraping tools (e.g., BeautifulSoup, Selenium) and data integration from APIs or Google Sheets.</li><li>Familiarity with data visualization platforms such as PowerBI, Tableau, or open-source dashboards (Streamlit/Dash).</li><li>Understanding of machine learning model outputs, validation methods, and statistical testing.</li></ul>Soft Skills<ul><li>Strong analytical thinking and ability to translate data into practical insights.</li><li>Excellent organizational skills and attention to detail.</li><li>Effective communicator with the ability to simplify technical findings for cross-functional teams.</li></ul>Job Type: Full-timeWork Location: In person

Learning Data Analyst

ibex

<div>
 
 Ibex, on behalf of one of its global clients, is seeking a skilled and detail-oriented
 
 Business Intelligence Analyst
 
 with strong expertise in
 
 SQL, data transformation, and visualization
 
 . The ideal candidate will collaborate closely with
 
 cross-functional teams and international clients
 
 to deliver meaningful insights and support data-driven decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and execute
 
 complex SQL queries
 
 to extract and manipulate data from multiple sources.
 </li>
 <li>
 Design and implement stored procedures, including creating database schemas from the ground up.
 </li>
 <li>
 Clean, transform, and validate datasets to ensure accuracy, consistency, and completeness.
 </li>
 <li>
 Utilize
 
 Python
 
 for data analysis, automation, and transformation tasks to streamline reporting processes.
 </li>
 <li>
 Create and maintain
 
 reports, dashboards, and visualizations
 
 to communicate insights to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements and deliver meaningful analysis.
 </li>
 <li>
 Monitor data integrity, identify anomalies, and troubleshoot data-related issues.
 </li>
 <li>
 Participate in data governance and quality improvement initiatives.
 </li>
 <li>
 Automate recurring data processes and reporting workflows to improve efficiency.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science,
 
 Data Science, Statistics, Mathematics
 
 , or a related field.
 </li>
 <li>
 Minimum 2 years of hands-on experience in writing
 
 SQL queries
 
 and working with
 
 relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle).
 
 </li>
 <li>
 Proficiency in
 
 Microsoft Excel
 
 and at least one
 
 BI tool (e.g., Power BI, Tableau).
 
 </li>
 <li>
 Proficiency
 
 in Python
 
 for data manipulation, analysis, and automation.
 </li>
 <li>
 Strong analytical skills with exceptional attention to detail and accuracy.
 </li>
 <li>
 Proven
 
 experience working with large datasets and applying data wrangling techniques.
 
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills.
 </li>
 <li>
 Ability to work independently, manage multiple priorities, and meet deadlines.
 </li>
 </ul>
 
 
</div>

Business Intelligence & Data Analyst

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