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CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Purpose
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><li>Define data cleansing and standardization approach</li><li>Produce Data Readiness Assessment Report</li><li>Define end-to-end Data Migration Strategy, including:</li></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are data-feasible and consistent</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<ul><li> 5 - 8 years in Data Analyst / Data Architecture roles</li><li>Experience in large-scale ERP or enterprise data transformation programs</li><li>Strong expertise in:</li></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<ul><li>
Work on impactful ERP transformation projects at enterprise scale
</li><li>Shape end-to-end data strategy, migration, and architecture
</li><li>Leverage AI/ML for advanced data insights and analytics
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable data models and governance frameworks
</li><li>Grow in a culture of innovation, ownership, and continuous learning</li></ul>
Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Analyst/Data Architect

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 
 CodeNinja
 
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 
 
 
 
 Role Purpose
 
 
 
 
 Lead the ERP program's data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct comprehensive assessment of legacy data sources:
 </li>
 <li>
 Inventory, Maintenance (MRO), Procurement, HR, Technical Docs
 </li>
 <li>
 Identify:
 </li>
 <li>
 Data quality issues (duplicates, missing, inconsistencies)
 </li>
 <li>
 Data ownership and governance gaps
 </li>
 <li>
 Redundant/siloed datasets
 </li>
 <li>
 Define data cleansing and standardization approach
 </li>
 <li>
 Produce Data Readiness Assessment Report
 </li>
 <li>
 Define end-to-end Data Migration Strategy, including:
 </li>
 <li>
 Migration approach (phased, module-wise, or big-bang)
 </li>
 <li>
 Data prioritization (master data vs transactional vs historical)
 </li>
 <li>
 Develop Data Mapping Specifications:
 </li>
 <li>
 Legacy &rarr; ERP field-level mappings
 </li>
 <li>
 Transformation rules and standardization logic
 </li>
 <li>
 Handling of missing/invalid data
 </li>
 <li>
 Define Data Cleansing &amp; Preparation Plan:
 </li>
 <li>
 Deduplication rules
 </li>
 <li>
 Data enrichment where required
 </li>
 <li>
 Validation checkpoints before migration
 </li>
 <li>
 Design Migration Execution Plan:
 </li>
 <li>
 Migration cycles (mock runs, dry runs, final cutover)
 </li>
 <li>
 Rollback strategy in case of failure
 </li>
 <li>
 Downtime and cutover planning
 </li>
 <li>
 Define Data Validation &amp; Reconciliation Framework:
 </li>
 <li>
 Pre-migration vs post-migration validation rules
 </li>
 <li>
 Reconciliation reports (counts, totals, relationships)
 </li>
 <li>
 Sign-off criteria for each module
 </li>
 <li>
 Produce key deliverables:
 </li>
 <li>
 Data Migration Plan
 </li>
 <li>
 Data Mapping Documents
 </li>
 <li>
 Data Validation &amp; Reconciliation Reports
 </li>
 <li>
 Identify and enable AI/ML use cases, such as:
 </li>
 <li>
 Predictive maintenance modeling
 </li>
 <li>
 Inventory demand forecasting
 </li>
 <li>
 Supplier performance analytics
 </li>
 <li>
 Leverage AI tools for:
 </li>
 <li>
 Data profiling and anomaly detection
 </li>
 <li>
 Data quality assessment and cleansing recommendations
 </li>
 <li>
 Advanced analytics and insights generation
 </li>
 <li>
 Define enterprise conceptual data model:
 </li>
 <li>
 Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs
 </li>
 <li>
 Establish:
 </li>
 <li>
 Entity relationships
 </li>
 <li>
 Master data definitions
 </li>
 <li>
 Data standardization rules
 </li>
 <li>
 Support BI teams for dashboards and analytics
 </li>
 <li>
 Align data models with business workflows
 </li>
 <li>
 Ensure requirements are data-feasible and consistent
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Required Skills &amp; Experience
 
 
 </li>
 </ul>
 
 Mandatory
 
 
 
 <ul>
 <li>
 5 - 8 years in Data Analyst / Data Architecture roles
 </li>
 <li>
 Experience in large-scale ERP or enterprise data transformation programs
 </li>
 <li>
 Strong expertise in:
 </li>
 <li>
 Data modelling (conceptual &amp; logical)
 </li>
 <li>
 Data migration and cleansing
 </li>
 <li>
 Data warehousing and reporting
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Strong knowledge of:
 </li>
 <li>
 ETL processes and migration tools
 </li>
 <li>
 SQL and relational databases
 </li>
 <li>
 API-based integrations
 </li>
 <li>
 Experience with BI tools (Power BI, Tableau)
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)
 </li>
 <li>
 Exposure to:
 </li>
 <li>
 Maintenance (MRO) data
 </li>
 <li>
 Inventory systems
 </li>
 <li>
 Technical documentation repositories
 </li>
 <li>
 Demonstrated experience using AI/ML tools or platforms, such as:
 </li>
 <li>
 Data analysis and prediction tools
 </li>
 <li>
 AI-assisted data modeling or profiling tools
 </li>
 <li>
 Ability to translate data into AI-driven insights for decision-making
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on impactful ERP transformation projects at enterprise scale
 </li>
 <li>
 Shape end-to-end data strategy, migration, and architecture
 </li>
 <li>
 Leverage AI/ML for advanced data insights and analytics
 </li>
 <li>
 Collaborate with cross-functional teams and drive business decisions
 </li>
 <li>
 Build scalable data models and governance frameworks
 </li>
 <li>
 Grow in a culture of innovation, ownership, and continuous learning
 
 
 </li>
 </ul>
 
 Equal Opportunity Statement
 
 
 
 We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Gym Membership
 </li>
 <li>
 Leaves as per the company policy
 </li>
 <li>
 Company-paid trips
 </li>
 <li>
 Easy Loan Facility for Employees
 </li>
 <li>
 Yearly increment
 </li>
 <li>
 Maternity Benefits (Leaves &amp; WFH)
 </li>
 <li>
 Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

Stewart Pakistan Private Limited

<div>
 
 DATABRICKS ARCHITECT
 
 
 Job Description&middot; Engineering Leadership
 
 
 Department Data Engineering / Platform
 
 
 Experience 5+ Years (Databricks / Lakehouse)
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for a hands-on, senior Databricks Architect to design, build, and govern our Lakehouse data platform from the ground up. You will own the end-to-end architecture of our data infrastructure &mdash; from raw ingestion through the Medallion layers to serving &mdash; and establish the engineering standards that will guide the entire data organization.
 
 
 This is a highly strategic and technical role focused on driving adoption of Databricks, Unity Catalog, and modern Lakehouse patterns across all data products and pipelines.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Design
 
 
 <ul>
 <li>
 Design and implement a production-grade Medallion Architecture (Bronze / Silver / Gold) across all data pipelines.
 </li>
 <li>
 Establish best practices for Delta Lake table design, partitioning strategies, Z-ordering, and optimization across large-scale datasets.
 </li>
 <li>
 Define data modeling standards and schema evolution policies across the Lakehouse.
 </li>
 <li>
 Architect end-to-end data flows from ingestion (streaming and batch) through transformation and serving layers.
 </li>
 </ul>
 
 
 
 
 
 Unity Catalog &amp; Data Governance
 
 
 <ul>
 <li>
 Lead the setup, configuration, and rollout of Unity Catalog as the centralized governance layer for all data assets.
 </li>
 <li>
 Design meta store hierarchy, catalog/schema/table organization, and tagging standards.
 </li>
 <li>
 Implement fine-grained access control (row-level, column-level), data masking policies, and audit logging.
 </li>
 <li>
 Establish data lineage tracking and ensure end-to-end visibility across all pipelines.
 </li>
 <li>
 Define and enforce data classification and sensitivity frameworks for PII and regulated data assets.
 </li>
 </ul>
 
 
 
 
 
 Pipeline Development &amp; Orchestration
 
 
 <ul>
 <li>
 Build and maintain production-grade data pipelines using PySpark, Delta Live Tables (DLT), and Databricks Workflows / Jobs.
 </li>
 <li>
 Design modular, reusable pipeline patterns including incremental ingestion, CDC (Change Data Capture), and full-refresh strategies.
 </li>
 <li>
 Implement robust pipeline observability: logging, alerting, lineage tracking, and SLA monitoring.
 </li>
 <li>
 Leverage Databricks Repos for CI/CD integration, managing code promotion across dev / staging / production environments.
 </li>
 </ul>
 
 
 
 
 
 Performance &amp; Compute Optimization
 
 
 <ul>
 <li>
 Optimize Spark execution plans, identify and resolve performance bottlenecks across large-scale distributed workloads.
 </li>
 <li>
 Right-size cluster configurations: Serverless warehouses, auto-scaling job clusters, and photon-enabled SQL warehouses.
 </li>
 <li>
 Leverage Serverless Warehouses and SQL Warehouses for BI and ad hoc analytics workloads, minimizing cost and cold-start latency.
 </li>
 <li>
 Manage cost governance for compute, storage, and DBU consumption across workspaces.
 </li>
 </ul>
 
 
 
 
 
 Developer Experience &amp; Standards
 
 
 <ul>
 <li>
 Set up and maintain Databricks Repos with standardized project structures and Git integration.
 </li>
 <li>
 Define Python coding standards, notebook best practices, and modular library patterns for the data engineering team.
 </li>
 <li>
 Build reusable Python utility libraries for common patterns: schema validation, data quality checks, Delta operations, and logging.
 </li>
 <li>
 Establish unit testing and integration testing frameworks for Spark pipelines.
 </li>
 </ul>
 
 
 
 
 
 Security, Compliance &amp; Networking
 
 
 <ul>
 <li>
 Configure workspace-level and account-level security: Private Link, IP access lists, secrets management via Databricks Secrets or AWS Secrets Manager.
 </li>
 <li>
 Design and enforce network isolation for sensitive data workloads.
 </li>
 <li>
 Ensure compliance with data residency and access control requirements for customer data.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Enablement
 
 
 <ul>
 <li>
 Partner with data engineers, data scientists, and analytics engineers to ensure the platform meets diverse workload needs.
 </li>
 <li>
 Mentor the engineering team on Databricks, Spark optimization, and Lakehouse best practices.
 </li>
 <li>
 Produce architectural documentation, runbooks, and internal knowledge bases.
 </li>
 <li>
 Evaluate and recommend new Databricks features and third-party integrations relevant to the organization's data roadmap.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Core Databricks &amp; Lakehouse
 
 
 <ul>
 <li>
 5+ years of hands-on experience with Databricks, with at least 2 years in an architect or senior lead role.
 </li>
 <li>
 Deep expertise in Unity Catalog: metastore setup, three-level namespace, ACL design, and data governance workflows.
 </li>
 <li>
 Strong mastery of the Medallion Architecture and Delta Lake: ACID transactions, time travel, compaction, and OPTIMIZE/VACUUM strategies.
 </li>
 <li>
 Proven experience designing and deploying production pipelines with Databricks Jobs and Workflows, including multi-task job DAGs, retry logic, and notifications.
 </li>
 <li>
 Hands-on experience with Databricks Repos and CI/CD integration for notebook and Python library deployments.
 </li>
 <li>
 Experience configuring and operating Serverless SQL Warehouses and Serverless compute for Jobs.
 </li>
 </ul>
 
 
 
 
 
 Apache Spark
 
 
 <ul>
 <li>
 Expert-level PySpark development: DataFrames, Spark SQL, window functions, broadcast joins, and UDFs.
 </li>
 <li>
 Strong understanding of Spark internals: DAG execution, shuffle optimization, memory management, and speculative execution.
 </li>
 <li>
 Experience with structured streaming and micro-batch processing patterns.
 </li>
 <li>
 Proven ability to diagnose and resolve Spark performance issues using Spark UI and event logs.
 </li>
 </ul>
 
 
 
 
 
 Python &amp; Software Engineering
 
 
 <ul>
 <li>
 Advanced Python skills with a strong software engineering background: packaging, testing (pytest), virtual environments, and dependency management.
 </li>
 <li>
 Experience building modular Python libraries for data engineering use cases.
 </li>
 <li>
 Familiarity with common data engineering libraries: pandas, pydantic, great_expectations or similar DQ frameworks.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure
 
 
 <ul>
 <li>
 Experience deploying Databricks on AWS, including workspace provisioning, IAM integration, and VPC configuration.
 </li>
 <li>
 Familiarity with cloud-native storage (S3/ADLS), external locations in Unity Catalog, and storage credentials management.
 </li>
 <li>
 Exposure to infrastructure-as-code tooling (Terraform, Databricks Asset Bundles, or similar).
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Databricks Certified Data Engineer Professional or Databricks Certified Associate Developer for Apache Spark certifications.
 </li>
 <li>
 Experience with Delta Live Tables (DLT) for declarative pipeline authoring.
 </li>
 <li>
 Familiarity with dbt (data build tool) integrated with Databricks SQL.
 </li>
 <li>
 Experience with Databricks Feature Store or MLflow for ML platform use cases.
 </li>
 <li>
 Exposure to Databricks Marketplace and Partner Connect integrations.
 </li>
 <li>
 Experience with Elasticsearch, Apache Kafka, or other streaming/search technologies complementary to the Lakehouse.
 </li>
 </ul>
 
 
 
 
 
 Core Technology Stack
 
 
 
 
 
 <ul>
 <li>
 Databricks
 </li>
 <li>
 Apache Spark Delta Lake
 </li>
 <li>
 Unity Catalog
 </li>
 <li>
 Medallion Architecture
 </li>
 <li>
 Databricks Jobs
 </li>
 <li>
 Databricks Repos
 </li>
 <li>
 DLT
 </li>
 <li>
 Python / PySpark
 </li>
 <li>
 Serverless Warehouses
 </li>
 <li>
 AWS / S3
 </li>
 <li>
 CI/CD
 </li>
 </ul>
</div>

Senior Data Bricks Architect

Markraft

Job Title: Data Analyst InternLocation: Lahore, Pakistan Company: Mashkraft (Canada-based Software Firm) Job Type: Internship (Full-Time)Job DescriptionMashkraft is seeking a detail-oriented and motivated Data Analyst Intern to join our growing team. This role is ideal for recent Computer Science graduates or individuals with 1&ndash;2 years of relevant experience or internship exposure who are eager to develop hands-on skills in data analysis, reporting, and business insights.Key Responsibilities<ul><li>Clean, organize, and validate large datasets using Microsoft Excel and other tools</li><li>Assist with data entry, transformation, and quality assurance processes</li><li>Create reports and basic dashboards to support data-driven decision-making</li><li>Collaborate with cross-functional teams to understand data requirements</li><li>Identify trends, patterns, and anomalies within datasets</li><li>Maintain and update internal databases as required</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field</li><li>Strong proficiency in Microsoft Excel (pivot tables, formulas, charts)</li><li>knowledge of SQL, Google Sheets, or Python is a plus</li><li>High attention to detail and strong analytical skills</li><li>Familiarity with data visualization tools is an advantage</li><li>Strong willingness to learn and grow in the data analytics field</li></ul>Benefits<ul><li>Hands-on experience with real-world data projects</li><li>Opportunity to work with an international team</li><li>Supportive work environment with learning opportunities</li><li>Potential conversion to a full-time role based on performance</li></ul>Compensation<ul><li>Monthly stipend</li></ul>Work Location<ul><li>On-site (Lahore)</li><li>Candidates must be able to commute reliably or relocate before joining</li></ul>How to ApplySend your resume to careers@mashkraft.com Subject Line: Data Analyst Intern Application &ndash; [Your Name]Job Type: Full-timePay: From Rs1.00 per monthWork Location: In person

Data Analyst Intern

Brand786 LTD

Marketing Analyst &ndash; Job DescriptionIndustry Focus: Healthcare, E-commerce, Charity Experience Required: 2&ndash;5 yearsRole OverviewWe are looking for a data-driven Marketing Analyst who can track, analyze, and interpret marketing performance across channels. The ideal candidate should be comfortable working with data, identifying trends, and providing actionable insights to improve campaign performance and business outcomes.Key Responsibilities<ul><li>Analyze performance of marketing campaigns across paid and organic channels</li><li>Track key metrics such as traffic, conversions, CPA, ROI, and engagement</li><li>Build and maintain dashboards and reports</li><li>Identify trends, patterns, and opportunities for optimization</li><li>Work closely with paid ads, social media, and content teams</li><li>Provide data-backed recommendations to improve performance</li><li>Monitor user behavior and funnel performance</li><li>Assist in A/B testing and performance evaluation</li></ul>Required Skills &amp; Tools<ul><li>Strong knowledge of Google Analytics (GA4) and reporting tools</li><li>Experience with Google Tag Manager (GTM) and tracking setup</li><li>Proficiency in Excel / Google Sheets for data analysis</li><li>Familiarity with data visualization tools (Looker Studio, Power BI, etc.)</li><li>Understanding of marketing funnels and attribution models</li><li>Basic knowledge of SQL (preferred but not mandatory)</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs100,000.00 per monthLanguage:<ul><li>English (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

Marketing Analyst

Innovadel Technologies

Job Summary:We are looking for a detail-oriented and analytical Senior Data Analyst with 3&ndash;5 years of experience to support data-driven decision-making across the organization. The ideal candidate should have strong expertise in Excel, MIS reporting, and Power BI, with the ability to transform complex data into actionable insights.Key Responsibilities:<ul><li>Collect, clean, and analyze large datasets to identify trends and insights.</li><li>Develop and maintain MIS reports, dashboards, and performance trackers.</li><li>Design and build interactive dashboards using Power BI.</li><li>Perform data validation and ensure accuracy and consistency of reports.</li><li>Collaborate with cross-functional teams to understand business requirements.</li><li>Automate reporting processes to improve efficiency and reduce manual work.</li><li>Present insights and recommendations to stakeholders in a clear manner.</li><li>Monitor KPIs and provide regular performance reports.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Business Analytics, or a related field.</li><li>3&ndash;5 years of proven experience as a Data Analyst or similar role.</li><li>Advanced proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Power Query).</li><li>Strong experience in MIS reporting and dashboard creation.</li><li>Hands-on experience with Power BI (data modeling, DAX, visualization).</li><li>Good understanding of databases and basic SQL.</li><li>Strong analytical, problem-solving, and attention to detail.</li><li>Excellent communication and presentation skills.</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs200,000.00 per monthWork Location: In person

Senior Data Analyst

Premier Home (Pvt) Ltd

Job Title: Data &amp; Pricing AnalystJob OverviewWe are looking for a detail-oriented Data &amp; Pricing Analyst to manage product pricing, support business reporting, and maintain dashboards. The role involves working closely with sales, e-commerce, and management teams to ensure data accuracy and provide actionable insights.Key ResponsibilitiesPricing Management &amp; Compliance<ul><li>Maintain and update the Pricing Master Sheet</li><li>Ensure pricing accuracy across platforms (e.g., Orsina)</li><li>Perform regular price audits and resolve discrepancies</li><li>Standardize pricing across products and variants</li></ul>Data Analysis &amp; Reporting<ul><li>Prepare monthly sales reports and P&amp;L summaries</li><li>Conduct sales, stock, and product performance analysis</li><li>Perform trend analysis (e.g., 20/80 analysis, category performance)</li><li>Provide insights on consistently selling products and stock movement</li></ul>Dashboard Management (Power BI)<ul><li>Maintain and update dashboards (Sales, Refunds, Ads, etc.)</li><li>Ensure data accuracy and consistency across reports</li><li>Develop and improve dashboards based on business needs</li></ul>Data Extraction &amp; Systems (SAP)<ul><li>Extract and manage data from SAP (Sales, Customer, Item Master)</li><li>Build and optimize queries for reporting purposes</li><li>Integrate SAP data into reporting tools (e.g., Power BI)</li></ul>Business Support<ul><li>Provide ad-hoc reports and data support to internal teams</li><li>Assist E-commerce team with pricing updates and product data</li><li>Coordinate with stakeholders for data requirements and updates</li></ul>Product &amp; Market Insights<ul><li>Support product price comparison analysis</li><li>Monitor competitor pricing trends</li><li>Highlight pricing gaps and opportunities</li></ul>Requirements<ul><li>Strong skills in Excel (advanced)</li><li>Experience with Power BI (or similar BI tools)</li><li>Basic knowledge of SQL / data querying (preferred)</li><li>Exposure to SAP or ERP systems (preferred)</li><li>3-5 years of experience</li><li>Strong analytical and problem-solving skills</li><li>Good communication and stakeholder coordination</li></ul>Key Skills<ul><li>Data Analysis</li><li>Pricing Strategy</li><li>Dashboard Development</li><li>Data Validation &amp; Accuracy</li><li>Business Reporting</li><li>Attention to Detail</li></ul>Nice to Have<ul><li>Experience in E-commerce / Retail data</li><li>Understanding of sales and inventory analysis</li></ul>Location: 42 E-1 Ghalib Road, Gulberg 3, Lahore Department: Data / E-commerce / Business Intelligence Working Days: Monday &ndash; Friday Office Timings: 1:00 PM &ndash; 10:00 PMHow to ApplySend your CV at: rameen.zaib@premierhousewares.co.ukPay: Rs130,000.00 - Rs150,000.00 per monthWork Location: In person

Data and Pricing Analyst

Explore 400+ Data analyst data architect in Lahore this April. Find roles across top companies and apply now to boost your career.

400 data analyst data architect jobs In Lahore

Data Analyst/Data Architect

Data Analyst/Data Architect

Senior Data Bricks Architect

Data Analyst Intern

Marketing Analyst

Senior Data Analyst

Data and Pricing Analyst