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data analytics analyst

Kamayi.pk

Data Analyst (LLM Specialization)OverviewSeeking a Data Analyst with hands-on experience in Large Language Models (LLMs) to support analytics, model evaluation, and AI-driven product development.Key Responsibilities<ul><li>Analyze and interpret data to support business decisions.</li><li>Develop and optimize prompts, evaluations, and workflows for LLM systems.</li><li>Monitor LLM performance, track key metrics, and run A/B tests.</li><li>Work with structured/unstructured data, embeddings, and retrieval systems.</li><li>Build dashboards and reports to communicate insights.</li><li>Collaborate with product, engineering, and AI teams to enhance LLM features.</li></ul>Required Skills<ul><li>Strong SQL and Python skills.</li><li>Experience with LLMs (OpenAI, Anthropic, or open-source models).</li><li>Familiarity with prompt engineering, evaluation methods, and text analytics.</li><li>Proficiency with data visualization tools (e.g., Tableau, Power BI).</li></ul>Job Type: Full-timeWork Location: In person

DATA ANALYST - LLM Specialized

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

Data Analyst

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

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

Esire Inc

Job Summary: 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.Key Responsibilities:<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.</li></ul>Requirements:<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 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).</li></ul>Job Type: Full-timeWork Location: In person

Afiniti

<div>
 
 
 Who Are We?
 
 
 
 Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.
 
 
 Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.
 
 
 
 
 
 
 Our Vision
 
 
 
 Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.
 
 
 
 
 
 
 Our Ways of Working
 
 
 
 At Afiniti, how we work is just as important as what we achieve. Our
 
 Ways of Working
 
 are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.
 
 
 Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.
 
 
 
 
 
 
 The Role
 
 
 
 
 Data Scientist II
 
 
 
 
 Reporting to:
 
 Director &ndash; Data Science
 
 
 
 
 
 
 Location
 
 
 
 Pakistan
 
 
 
 Work Environment:
 
 Hybrid
 
 
 
 
 
 
 About The Role
 
 
 
 Afiniti is looking for a
 
 Data Scientist II
 
 who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.
 
 
 As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.
 
 
 
 
 
 
 What Will be Your Key Deliverables
 
 
 <ul>
 <li>
 Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.
 </li>
 <li>
 Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.
 </li>
 <li>
 Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.
 </li>
 <li>
 Translate abstract or ambiguous problems into tractable, data-driven solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.
 </li>
 <li>
 Communicate findings clearly and effectively to both technical and non-technical audiences.
 </li>
 <li>
 Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 Experience:
 
 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.
 
 
 
 
 
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.
 
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Strong command of Python, R, or Julia for data analysis and modeling.
 </li>
 <li>
 Proficiency in SQL and experience with relational databases.
 </li>
 <li>
 Solid foundation in statistics, machine learning, and mathematical optimization.
 </li>
 <li>
 Hands-on experience working with large datasets, data visualization, and analytical reporting.
 </li>
 <li>
 Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.
 </li>
 <li>
 Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.
 </li>
 <li>
 Excellent communication and collaboration skills in a cross-functional setting.
 </li>
 </ul>
 
 
 
 
 
 Behavioral Traits:
 
 Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.
 
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.
 </li>
 <li>
 Familiarity with Airflow or similar workflow orchestration tools.
 </li>
 <li>
 Experience with cloud-based data processing or distributed computing frameworks.
 </li>
 <li>
 Exposure to production-level machine learning deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 
 What success looks like
 
 
 
 In this role, you will be successful if you:
 
 <ul>
 <li>
 Deliver robust, interpretable models that improve measurable business outcomes for clients.
 </li>
 <li>
 Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.
 </li>
 <li>
 Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.
 </li>
 <li>
 Uphold high standards of analytical accuracy, reproducibility, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Why should you apply
 
 
 <ul>
 <li>
 Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.
 </li>
 <li>
 Exposure to large-scale, high-impact projects across industries and regions.
 </li>
 <li>
 Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.
 </li>
 <li>
 Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.
 </li>
 </ul>
 
 
 
 
 
 What will make you stand out in the crowd
 
 
 
 You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.
 
 
 
 
 
 
 
 
 
 We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.
 
 
</div>

Data Scientist II

<div><div>WHO ARE WE?
</div><div>Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.</div>
<div>Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.</div>
<div>Our vision</div>
<div>Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.</div>
<div>Our Ways of Working</div>
<div>At Afiniti, how we work is just as important as what we achieve. Our Ways of Working are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.</div>
<div>Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.</div>
<div></div><div>THE ROLE 
Data Scientist II 
Reporting to: Director &ndash; Data Science 
LOCATION 
Pakistan 
Work Environment: Hybrid</div>
<div></div><div>ABOUT THE ROLE</div>
<div>Afiniti is looking for a Data Scientist II who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.</div>
<div>As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.</div>
<div></div><div>What will be your key deliverables</div>
<ul><li>Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.</li>
<li>Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.</li>
<li>Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.</li>
<li>Translate abstract or ambiguous problems into tractable, data-driven solutions.</li>
<li>Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.</li>
<li>Communicate findings clearly and effectively to both technical and non-technical audiences.</li>
<li>Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.</li>
</ul>
<div></div><div>Who you are</div>
<div>Experience: 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments. 
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.</div>
<div>Skills:</div>
<ul><li>Strong command of Python, R, or Julia for data analysis and modeling.</li>
<li>Proficiency in SQL and experience with relational databases.</li>
<li>Solid foundation in statistics, machine learning, and mathematical optimization.</li>
<li>Hands-on experience working with large datasets, data visualization, and analytical reporting.</li>
<li>Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.</li>
<li>Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.</li>
<li>Excellent communication and collaboration skills in a cross-functional setting.</li>
</ul><div>Behavioral Traits: Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.</div>
<div></div><div>Nice to have</div>
<ul><li>Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.</li>
<li>Familiarity with Airflow or similar workflow orchestration tools.</li>
<li>Experience with cloud-based data processing or distributed computing frameworks.</li>
<li>Exposure to production-level machine learning deployment and monitoring.</li>
</ul>
<div></div><div>What success looks like</div>
<div>In this role, you will be successful if you:</div>
<ul><li>Deliver robust, interpretable models that improve measurable business outcomes for clients.</li>
<li>Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.</li>
<li>Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.</li>
<li>Uphold high standards of analytical accuracy, reproducibility, and documentation.</li>
</ul>
<div></div><div>Why should you apply</div>
<ul><li>Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.</li>
<li>Exposure to large-scale, high-impact projects across industries and regions.</li>
<li>Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.</li>
<li>Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.</li>
</ul>
<div></div><div>What will make you stand out in the crowd</div>
<div>You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.</div> 
<div></div>
<div></div><div>We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.</div></div><div></div>

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DATA ANALYST - LLM Specialized

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