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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 ﻿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></ul>Performance Insights<ul><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 accurac</li></ul>Required Qualifications<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>Preferred Skills<ul><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. Join our WhatsApp Channel﻿https://www.whatsapp.com/channel/0029VamSiLr5fM5fMtAdCS2M﻿ stay updated or visit www.hrways.co to know more.Job Type: Full-timeWork Location: In person

Data Analyst

UTOPIA INDUSTRIES PVT LTD

We are actively looking to hire a Data Analyst to join our team. The ideal candidate has strong experience working with data end-to-end&mdash;from collecting and cleaning data to transforming it into clear, actionable insights through dashboards.Key Responsibilities<ul><li>Perform data scraping from various sources (web, APIs, databases, etc.)</li><li>Clean, preprocess, and validate data to ensure accuracy and reliability</li><li>Design, build, and maintain interactive dashboards and reports</li><li>Use Power BI to visualize data and communicate insights effectively</li><li>Analyze trends and patterns to support business decision-making</li><li>Collaborate with stakeholders to understand data requirements and reporting needs</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience as a Data Analyst or in a similar role</li><li>Strong experience with data scraping and data extraction techniques</li><li>Solid background in data cleaning and transformation</li><li>Hands-on experience with Power BI (DAX and data modeling is a plus)</li><li>Proficiency in SQL; experience with Python or similar tools is a plus</li><li>Strong analytical and problem-solving skills</li><li>Ability to communicate insights clearly to technical and non-technical audiences</li></ul>Nice to Have<ul><li>Experience with other BI tools (Tableau, Looker, etc.)</li><li>Knowledge of cloud platforms or data warehouses</li><li>Experience working with large or unstructured datasets</li></ul>What We Offer<ul><li>Competitive compensation</li><li>Flexible work environment</li><li>Opportunity to work with real-world data and impactful projects</li><li>Collaborative and growth-oriented team culture</li></ul>Job Type: Full-timeWork Location: In person

IQVIA

<div><div><div>Karachi, Pakistan | Full time | Office-based | R1507028</div></div><div><div> 
Job Overview 
Under guidance, performs data analytics activities related to complex business problems and issues to provide insight to decision makers. May provide analytic support for internal project teams and for external client consulting or services engagements.</div><div>
Essential Functions 
<ul><li>Under guidance, performs basic quantitative or qualitative analyses to support the development of solutions for internal or external client project teams.</li><li>Identifies and interprets trends and patterns in datasets..</li><li>Creates specifications for reports and analysis based on business needs and required or available data elements.</li><li>May directly produce datasets and reports for analysis using existing IQVIA tools.</li><li>Verifies data for accuracy and completeness.</li><li>May manipulate and transform data to optimize analyses.</li><li>Performs audits of own work or that of others to ensure conformance with established procedures or to resolve routine issues.</li><li>May work with stand alone data systems or enterprise wide tools supporting activities such as inquiry resolution, data validation, and trend analysis.</li></ul></div><div>
Qualifications</div><div>
Education:</div><div>
oBachelor's Degree in Computer Science.</div><div>
Experience:</div><div>
oAt least two years with C# programming and SQL Server databases.</div><div>
oProficient in SQL query writing, with the ability to understand and create complex stored procedures.</div><div>
Technical Skills:</div><div>
oProficient in data analysis using Microsoft Excel, PowerPoint, Word, and Access.</div><div>
Collaboration:</div><div>
oEffective team player, working willingly and efficiently within and across organizational boundaries.</div><div>
Time Management:</div><div>
oStrong time management skills, ensuring efficiency and productivity.</div><div>
Communication: Demonstrated communication skills with a customer service focus.</div><div>
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com</div></div></div><div></div>

Plutus21 Partners

<div>
 We are looking for a
 
 detail-oriented and organised individual
 
 to join our team as a
 
 Data Collector
 
 . The role involves collecting, analysing, and interpreting complex data sets to provide valuable insights for our organisation.
 
 
 Data Collection Assistant Responsibilities &amp; Duties
 
 
 <ul>
 <li>
 Collect,source, process and maintain accurate and up-to-date data from various sources in a timely manner
 </li>
 <li>
 Assist in the development and implementation of data collection processes and protocols
 </li>
 <li>
 Organise and maintain databases
 </li>
 <li>
 Work closely with cross-functional teams to ensure data quality and consistency, and develop data-driven solutions
 </li>
 <li>
 Assist in preparing reports and presentations based on data analysis
 </li>
 <li>
 Analyse data using statistical methods and software
 </li>
 <li>
 Create reports and visualisations to communicate findings to stakeholders
 </li>
 <li>
 Identify trends and patterns in data to inform business decisions
 </li>
 <li>
 Stay up-to-date with industry trends and advancements
 
 
 
 </li>
 </ul>
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in finance,accounting, or a related field
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Experience with data analysis tools and statistics software such as SPSS or R
 </li>
 <li>
 Experience with database management and data visualisation tools
 </li>
 <li>
 Ability to communicate complex findings to non-technical stakeholders
 </li>
 <li>
 Excellent attention to detail and organisational skills
 </li>
 <li>
 Experience with data collection and analysis in a business or research environment is a plus
 
 </li>
 </ul>
</div>

Data Analyst (Finance)

Retail online

As a Data Analyst, you will play a key role in supporting the organization&rsquo;s data analysis, reporting, and predictive analytics functions. You will be responsible for gathering, transforming, and interpreting data from various sources to deliver meaningful insights that drive data-based decision-making. Your expertise in Advanced Excel, Power BI, and Machine Learning techniques will ensure that all reporting and analytics are accurate, reliable, and actionable.Key Responsibilities:<ul><li>Collect, verify, and analyze data from multiple sources to identify trends, correlations, predictive patterns, and insights.</li><li>Design, develop, and maintain data models, dashboards, and reports using Excel and Power BI.</li><li>Apply basic Machine Learning methods such as regression, classification, clustering, and forecasting to support predictive and advanced analytics.</li><li>Collaborate with cross-functional teams to understand data needs and deliver insights that support strategic and operational decisions.</li><li>Perform data cleaning, transformation, feature engineering, and validation to ensure consistent, high-quality data.</li><li>Recommend and implement process improvements to enhance efficiency in data collection, analysis, and reporting workflows.</li><li>Conduct ad-hoc analyses and produce customized reports based on stakeholder requirements.</li><li>Stay updated on emerging tools, techniques, and best practices in data analytics, Machine Learning, Excel, Power BI, and BI technologies.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li><li>Proven experience working with Excel, Power BI, and data analytics in a professional environment.</li><li>Strong Excel skills, including advanced formulas, pivot tables, dashboards, and visualizations.</li><li>Proficiency in Power BI for creating interactive dashboards and reports.</li><li>Basic to intermediate understanding of Machine Learning algorithms and their practical applications.</li><li>Solid knowledge of data analysis, statistical concepts, and data modeling.</li><li>Hands-on experience in data cleaning, transformation, and validation.</li><li>Strong analytical and problem-solving abilities to interpret complex datasets.</li></ul>Compensation &amp; Benefits<ul><li>Competitive salary + annual bonus.</li><li>Family medical insurance.</li><li>Supportive work culture with international exposure and long-term growth opportunities.</li></ul>Location: DHA Phase 5, KarachiJob Type: Full-timeExperience:<ul><li>relevant: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Data Analyst (Night Shift)

Plutus21

<div>We are looking for a detail-oriented and organised individual to join our team as a Data Collector. The role involves collecting, analysing, and interpreting complex data sets to provide valuable insights for our organisation.<h3 class="jobSectionHeader">
Data Collection Assistant Responsibilities &amp; Duties</h3><ul><li>
Collect,source, process and maintain accurate and up-to-date data from various sources in a timely manner</li><li>
Assist in the development and implementation of data collection processes and protocols</li><li>
Organise and maintain databases</li><li>
Work closely with cross-functional teams to ensure data quality and consistency, and develop data-driven solutions</li><li>
Assist in preparing reports and presentations based on data analysis</li><li>
Analyse data using statistical methods and software</li><li>
Create reports and visualisations to communicate findings to stakeholders</li><li>
Identify trends and patterns in data to inform business decisions</li><li>
Stay up-to-date with industry trends and advancements</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Bachelor's degree in finance,accounting, or a related field</li><li>
Strong analytical and problem-solving skills</li><li>
Experience with data analysis tools and statistics software such as SPSS or R</li><li>
Experience with database management and data visualisation tools</li><li>
Ability to communicate complex findings to non-technical stakeholders</li> 
<li>
Excellent attention to detail and organisational skills</li><li>
Experience with data collection and analysis in a business or research environment is a plus</li></ul></div>

ibex

<div>
 
 
 ibex
 
 , for one of its global clients, is currently hiring for
 
 Analyst, Supply Chain Operations
 
 role
 
 .
 
 The role is responsible for owning the day-to-day delivery of key
 
 operational processes
 
 within the
 
 Non-Mobile Supply Chain
 
 , covering product categories such as laptops, tablets, TVs, white goods, and general consumer electronics. The position supports
 
 Operations Managers
 
 by enhancing existing
 
 operational processes
 
 , identifying opportunities to streamline workflows, and taking ownership of improvement plans to
 
 support volume growth
 
 ,
 
 operational efficiency,
 
 and
 
 vendor centralization.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own and manage day-to-day Non-Mobile Supply Chain processes to ensure a seamless customer claims experience, including resolving client escalations and supporting vendors with unforeseen issues.
 </li>
 <li>
 Design, maintain, and improve processes that deliver an optimal claims experience for customers across all Non-Mobile categories.
 </li>
 <li>
 Maintain KPI analysis and tracking dashboards for Non-Mobile service delivery, including service cost and outcome analysis, while contributing to ongoing improvements in reporting tools.
 </li>
 <li>
 Conduct ad hoc commercial and operational analysis using data sources such as Excel, SQL, and other analytical tools.
 </li>
 <li>
 Work closely with the Non-Mobile Vendor Management team to ensure processes are consistent, scalable, and optimized for cost and efficiency across all product categories, including support with Vendor and Partner QBRs.
 </li>
 <li>
 Identify operational weaknesses across service delivery and cost performance to support long-term strategy and short-term operational goals.
 </li>
 <li>
 Partner with contact centers to implement and manage changes to agent and operator-level processes.
 </li>
 <li>
 Collaborate with the Technical Team to identify improvements or errors within existing vendor integrations.
 </li>
 <li>
 Work alongside vendors to design, update, and deliver key processes while addressing issues impacting customer service.
 </li>
 <li>
 Update and maintain a holistic list of SQT device SKU listings.
 </li>
 </ul>
 
 
 
 
 
 Skills, Experience &amp; Knowledge
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in supply chain
 
 , Data Analytics, Computer Science, or a related field
 
 .
 </li>
 <li>
 2&ndash;3 years&rsquo; experience as a Data Analyst (preferably in
 
 Supply Chain domain
 
 ).
 </li>
 <li>
 Strong analytical skills with the ability to interpret large datasets and deliver actionable insights.
 </li>
 <li>
 Self-driven, proactive, detail-oriented, and outcome-focused, with a strong ability to work collaboratively as part of a team.
 </li>
 <li>
 Experience managing operational processes and delivering operational efficiency improvements.
 </li>
 <li>
 Experience working with international and remote teams.
 </li>
 <li>
 Fluency in English with strong PowerPoint presentation capabilities.
 </li>
 <li>
 Advanced knowledge of Excel, SQL, and Salesforce.
 </li>
 </ul>
 
 
 
 
 
 Preferred Technical Expertise
 
 
 <ul>
 <li>
 Experience with Power BI, Tableau, and API integrations.
 </li>
 <li>
 Python and data scraping capabilities.
 </li>
 </ul>
</div>

Data Analyst - Supply Chain Operations

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Data Analyst

Data Analyst

Data Analyst

Data Analyst (Finance)

Data Analyst (Night Shift)

Data Analyst (Finance)

Data Analyst - Supply Chain Operations