senior business analyst

senior data engineer

business analyst

data scientist

soc analyst

data analyst

ibex. Pakistan

<div>
 
 
 About the Role:
 
 
 
 We are looking for a Data Analyst to support and scale our sales and revenue operations. This role sits at the intersection of Sales, Data, and Systems, ensuring that our revenue engine runs efficiently, accurately, and at scale.
 
 
 You will play a key role in improving CRM data quality, pipeline visibility, reporting, and operational processes that enable better decision-making for leadership and sales teams.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Sales &amp; CRM Operations
 
 
 <ul>
 <li>
 Manage and maintain CRM data (accounts, opportunities, ownership, and pipeline)
 </li>
 <li>
 Ensure data accuracy, completeness, and governance across systems
 </li>
 <li>
 Support territory alignment and account ownership structures
 </li>
 <li>
 Monitor and improve pipeline quality and forecast reliability
 </li>
 </ul>
 
 
 Reporting &amp; Analytics
 
 
 <ul>
 <li>
 Build and maintain dashboards and reports for sales performance tracking
 </li>
 <li>
 Analyze pipeline, bookings, and activity data to generate actionable insights
 </li>
 <li>
 Identify gaps in data and reporting and recommend improvements
 </li>
 <li>
 Support leadership with data-driven decision-making
 </li>
 </ul>
 
 
 Data &amp; System Thinking
 
 
 <ul>
 <li>
 Work closely with cross-functional teams (Sales, Finance, Marketing)
 </li>
 <li>
 Support integration and alignment between tools and systems
 </li>
 <li>
 Ensure consistent definitions and usage of key GTM metrics
 </li>
 <li>
 Troubleshoot data and process issues proactively
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in Sales Operations, Revenue Operations, Data Analytics, or Business Operations
 </li>
 <li>
 Hands-on experience with CRM tools (preferably Salesforce)
 </li>
 <li>
 Strong Excel (pivots, formulas, data handling)
 </li>
 <li>
 Proficient in Database (preferably SQL)
 </li>
 <li>
 Handling Large Dataset in Database
 </li>
 <li>
 Query Optimization
 </li>
 <li>
 Experienced in BI Reporting tools like Power BI, Tableau
 </li>
 <li>
 Good understanding of pipeline, forecasting, and sales processes
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to work with cross-functional stakeholders
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (Not Mandatory)
 
 
 <ul>
 <li>
 Experience with planning tools (e.g., Anaplan)
 </li>
 <li>
 Exposure to automation tools (Zapier, Make, etc.)
 </li>
 <li>
 Experience in SaaS / B2B environments
 </li>
 <li>
 Basic understanding of data pipelines or integrations
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Someone who thinks in systems, not just tasks
 </li>
 <li>
 Strong attention to data quality and detail
 </li>
 <li>
 Ability to translate data into business insights
 </li>
 <li>
 Ownership mindset, identifies problems and solves them
 </li>
 <li>
 Comfortable working in a fast-paced, evolving environment
 </li>
 </ul>
 
 
</div>

Data Analyst

Markraft

Job description:Location: 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>Benefits:<ul><li>Opportunity to grow in a professional software development environment</li><li>Learning and development opportunities</li><li>Supportive team culture</li><li>Monthly stipend</li><li>Internship Certificate</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]Work Location: In person

Data Analyst Intern

Work Together

<div>
 
 Responsibilities:
 
 
 
 - Accurately enter and update data into databases and spreadsheets.
 
 - Verify and review inputted data for accuracy and completeness.
 
 - Maintain confidentiality and security of information for both internal and external stakeholders.
 
 - Collaborate with team members to ensure data quality and consistency.
 
 - Assist in developing and maintaining efficient data management processes.
 
 - Generate reports and data analysis summaries as required.
 
 - Identify and correct data entry errors using appropriate quality control methods.
 
 
 
 Requirements:
 
 
 
 - Proven experience as a Data Entry Operator or Data Analyst.
 
 - Familiarity with databases, spreadsheets, and data entry software.
 
 - Strong attention to detail and a high degree of accuracy.
 
 - Ability to multitask and manage time effectively to meet deadlines.
 
 - Excellent communication skills, both written and verbal.
 
 - Problem-solving skills and the ability to work independently.
 
 - Strong organizational skills and ability to maintain systematic records.
 
 
 
 Qualifications:
 
 
 
 - Bachelor's degree in Computer Science, Information Technology, or related field is preferred.
 
 - Proficiency in Microsoft Office Suite, particularly Excel and Access.
 
 - Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
 
 - Knowledge of data processing systems and data analysis techniques.
 
 - Understanding of data privacy laws and regulations.
 
 
 
 Experience:
 
 
 
 - 3-5 years of relevant experience in data entry or data analysis.
</div>

Data Entry operator / Data Analyst

Agay Barho!

<div>
 Our client Core Assists is looking for a Data Analyst - Python, Data Visualization, Predictive Modeling in Lahore
 
 
 Core Assists seeks a skilled Data Analyst with a minimum of two years of experience to join our team. The ideal candidate is proficient in Python and has a strong ability to analyze large datasets to uncover patterns and provide actionable insights. This role plays a critical part in translating complex business needs into effective data solutions. The candidate works closely with various teams to develop predictive models, generate clear and impactful data visualizations, and produce comprehensive reports for stakeholders. Accuracy and maintaining high data quality standards are essential Responsibilities
 
 
 to ensure trusted decision-making supports business objectives. Additionally, the candidate must have experience working with ERP systems and extracting data by joining tables using Python, R, SQL, or similar tools.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze extensive datasets to identify key trends, patterns, and insights that inform business strategies.
 </li>
 <li>
 Develop and implement predictive models to support forecasting and decision-making processes.
 </li>
 <li>
 Create detailed and user-friendly data visualizations and reports that communicate findings to stakeholders effectively.
 </li>
 <li>
 Collaborate with cross-functional teams to understand and translate their requirements into actionable data-driven solutions.
 </li>
 <li>
 Ensure data accuracy and consistently maintain high data quality standards through validation and cleansing processes.
 </li>
 <li>
 Extract data from ERP systems by understanding system architecture and table relationships.
 </li>
 <li>
 Execute complex data queries by joining tables using Python, R, SQL, or equivalent data tools to gather relevant information.
 </li>
 <li>
 Continuously optimize data extraction and analysis procedures to improve efficiency and reliability.
 </li>
 <li>
 Document data analysis methods and maintain clear records to facilitate reproducibility and knowledge sharing.
 </li>
 <li>
 Stay up to date with industry trends, new tools, and best practices in data analysis to drive continuous improvement.
 </li>
 </ul>
</div>

Data Analyst - Python, Data Visualization, Predictive Modeling - TJ / 1846118

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &quot;good&quot; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

<div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Sales Data Quality Analyst II

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com) 
 
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.<ul><li>
Please note that all resumes should be submitted in English.</li></ul> 
We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
Key Responsibilities:<ul><li>
Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.</li><li>
Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.</li></ul> 

Requirements 
Required Education:
<ul><li>A Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!</li></ul> 
Required Experience:<ul><li>
4 to 7 years of experience as a Data Engineer.</li><li>
We value practical, hands-on expertise that goes beyond just theoretical knowledge.</li></ul>
Required Background / Industry Experience:
Required for both roles:<ul><li>
Experience working with cloud-based data platforms and environments</li><li>
Strong SQL skills with data modeling experience for data warehouses</li><li>
Strong Python skills (especially notebooks) for building and maintaining data workflows</li><li>
Experience developing and maintaining ETL/ELT processes</li><li>
Experience working with data warehouses used by reporting/business teams</li><li>
Experience using Git/GitHub for version control in collaborative environments</li><li>
Understanding of data engineering best practices:</li><li>
Pipeline orchestration and dependency management</li><li>
Data quality, validation, and monitoring fundamentals</li></ul>
Required for migration-focused role:<ul><li>
Hands-on data migration experience:</li><li>
Schema mapping and transformation</li><li>
Data reconciliation and validation (must be strong here)</li><li>
Data quality checks, integrity validation, and issue resolution</li><li>
Backfills and historical data handling</li><li>
Cutover planning and execution</li></ul>
Required for automation-focused role:<ul><li>
Experience building and maintaining automated data pipelines:</li><li>
Scheduling, orchestration, and failure handling</li><li>
Workflow reliability, monitoring, and repeatability</li></ul>
Preferred:<ul><li>
Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem</li><li>
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines</li><li>
Experience with data quality and observability practices:</li><li>
Validation frameworks, alerting, SLAs, monitoring</li><li>
Experience optimizing performance in data environments:</li><li>
Query tuning, partitioning, indexing, cost optimization</li><li>
Familiarity with modern data formats and large-scale processing:</li><li>
Parquet, Delta, incremental processing patterns</li><li>
Experience integrating with external systems:</li><li>
REST APIs, authentication, retries, error handling</li><li>
Exposure to CI/CD practices for data workflows:</li><li>
Git-based deployments, PR workflows, environment promotion</li></ul> 
Key Soft Skills:<ul><li>
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.</li><li>
Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes.</li><li>
Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
</li><li>Collaboration: works effectively across engineering, analytics, and business teams.</li><li>
Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).</li></ul> 
Technical Skills:<ul><li>
Proficiency in SQL, Python, cloud technologies, and data competency.</li></ul> 

Benefits 
<ul><li>
USD Base Salary.</li><li>
Enjoy Paid Time Off (PTO) after just 6 months of service.</li><li>
Full-time opportunity.</li><li>
Enjoy the freedom of a completely remote work environment!</li></ul></div>

Remote - Data Engineering Analyst

Systems Limited

<div>
 
 
 Job Title: Business Analyst
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are looking for a
 
 Business Analyst
 
 with a strong understanding of
 
 supply chain and retail operations
 
 , particularly within
 
 FMCG environments
 
 . This role will act as a bridge between business stakeholders and technical teams, translating business needs into clear technical requirements for
 
 data, analytics, and BI solutions
 
 . The ideal candidate is comfortable working in
 
 Agile teams
 
 , collaborating cross-functionally, and driving clarity from ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Elicit, analyze, and document business requirements from stakeholders across supply chain, retail, and operations teams
 </li>
 <li>
 Translate business requirements into
 
 technical specifications
 
 for data and BI solutions
 </li>
 <li>
 Create and manage
 
 user stories
 
 , acceptance criteria, and functional documentation
 </li>
 <li>
 Perform
 
 gap analysis
 
 between current and future state processes and systems
 </li>
 <li>
 Partner with data engineers, BI developers, and product owners to ensure accurate solution delivery
 </li>
 <li>
 Support the design and validation of dashboards and reports using
 
 Power BI / Microsoft Fabric
 
 </li>
 <li>
 Use
 
 SQL and Excel
 
 to analyze data, validate outputs, and support decision-making
 </li>
 <li>
 Facilitate workshops, sprint ceremonies, and stakeholder reviews in an
 
 Agile/Scrum
 
 environment
 </li>
 <li>
 Ensure solutions align with business goals, data standards, and reporting requirements
 </li>
 </ul>
 
 
 
 
 
 Required Experience &amp; Qualifications
 
 
 <ul>
 <li>
 Proven experience as a
 
 Business Analyst or Technical Business Analyst
 
 </li>
 <li>
 Strong domain knowledge in
 
 supply chain and retail operations
 
 , preferably within
 
 FMCG
 
 </li>
 <li>
 Hands-on experience working with
 
 data and BI platforms
 
 </li>
 <li>
 Hands-on experience with
 
 Microsoft Fabric
 
 </li>
 <li>
 Solid understanding of
 
 Agile methodologies
 
 and working within Agile teams
 </li>
 <li>
 Experience collaborating with cross-functional technical and business stakeholders
 </li>
 </ul>
 
 
</div>

Senior Business Analyst

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