business analyst

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data analytics analyst

NextGen | GTA: A Kelly Telecom Company

<div>
 
 
 Position Overview
 
 
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
 <li>
 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
 <li>
 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
 </li>
 <li>
 Use statistical techniques to interpret data, identify patterns, and predict trends
 </li>
 <li>
 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 3+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

Data Analyst

Markraft

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>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]Work Location: In person

Data Analyst Intern

Scaleup Connect

Data Insights Analyst Location: Lahore, Pakistan Department: Data &amp; Strategy / Business Intelligence Experience Required: 3&ndash;5 Years Education: Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative fieldRole SummaryScaleup Connect is hiring a Data Insights &amp; Strategy Specialist for one of its clients based in Lahore. This role will drive full-cycle data governance across the Sell-in to Sell-out (ST1-SO) ecosystem, transforming complex datasets into actionable business insights. The position combines advanced analytics, predictive modeling, and strategic thinking to support business growth, operational efficiency, and risk mitigation.The ideal candidate will act as a bridge between data and business strategy, enabling leadership, sales, and supply chain teams to make informed, data-driven decisions.Key ResponsibilitiesEnd-to-End Data Governance<ul><li>Own and manage the ST1-SO data lifecycle, ensuring data accuracy, integrity, and consistency across systems.</li><li>Develop and maintain standardized analytical frameworks for monitoring business performance.</li><li>Produce high-quality weekly and monthly operational reports that clearly explain underlying performance drivers.</li></ul>Deep Diagnosis &amp; Growth Opportunity Identification<ul><li>Conduct multi-dimensional data analysis across cities, product lines, and sales channels.</li><li>Identify business anomalies, operational inefficiencies, and hidden growth opportunities.</li><li>Provide strategic recommendations based on robust analytical insights.</li></ul>Algorithmic Modeling &amp; Risk Warning Systems<ul><li>Design and optimize sales forecasting models to improve demand planning accuracy.</li><li>Build intelligent replenishment logic and inventory alert mechanisms to enhance operational efficiency.</li><li>Apply predictive analytics to reduce operational risks and improve inventory turnover.</li></ul>Business Empowerment &amp; Decision Support<ul><li>Act as a translator between data and business teams, converting complex analytics into clear, actionable insights.</li><li>Partner with Sales, Operations, and Supply Chain teams to support strategic planning and execution.</li><li>Develop dashboards and insights that guide operational decision-making.</li></ul>Strategy Execution &amp; Alignment<ul><li>Translate company strategy into quantifiable KPIs and performance tracking frameworks.</li><li>Monitor progress against strategic targets and provide insights that ensure cross-functional alignment with organizational goals.</li></ul>QualificationsEducation &amp; Experience<ul><li>Bachelor&rsquo;s degree or higher in Statistics, Mathematics, Computer Science, or a related field.</li><li>3&ndash;5 years of experience in data analysis, business intelligence, or strategic analytics roles.</li></ul>Technical Skills<ul><li>Advanced proficiency in SQL and Excel (VBA / Power Query).</li><li>Strong experience with BI visualization tools such as Tableau or Power BI.</li><li>Experience with Python or R for predictive modeling is highly preferred.</li></ul>Analytical &amp; Business Skills<ul><li>Strong logical and analytical thinking, with the ability to extract meaningful insights from complex datasets.</li><li>Ability to quickly identify core business challenges and opportunities within fragmented data environments.</li><li>Strong understanding of business performance metrics and operational drivers.</li></ul>Professional Attributes<ul><li>High level of professional accountability and data accuracy standards.</li><li>Ability to thrive in fast-paced, high-pressure environments.</li><li>Excellent cross-functional collaboration and influence skills.</li></ul>Preferred Qualifications (Bonus)<ul><li>Experience building data analysis systems or analytics frameworks from scratch (0&rarr;1).</li><li>Prior exposure to retail operations, channel management, or distribution analytics.</li></ul>Job Type: Full-timePay: Up to Rs130,000.00 per monthWork Location: In person

Data Insights Analyst

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

H2o Labs

Job Title: Data Analyst Job Type: Full-Time (Night Shift) Job Location: OnsiteJob Overview:We are seeking a detail-oriented and analytical Data Analyst with 2&ndash;4 years of experience to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help drive informed business decisions and improve overall performance.Key Responsibilities:<ul><li>Collect, clean, and interpret large datasets from multiple sources</li><li>Develop and maintain dashboards and reports to track business performance</li><li>Analyze trends, patterns, and insights to support decision-making</li><li>Work closely with stakeholders to understand business requirements and deliver data-driven solutions</li><li>Create visualizations using tools such as Power BI, Tableau, or similar</li><li>Perform data validation, quality checks, and ensure data accuracy</li><li>Identify opportunities for process improvement and optimization</li><li>Present findings and insights in a clear and concise manner to management</li><li>Support ad-hoc data analysis requests</li></ul>Requirements:<ul><li>2&ndash;4 years of experience as a Data Analyst or in a similar role</li><li>Strong knowledge of SQL and data querying</li><li>Proficiency in data visualization tools such as Power BI, Tableau, or Excel</li><li>Good understanding of data analysis, statistics, and reporting</li><li>Experience working with large datasets and data cleaning techniques</li><li>Strong analytical, problem-solving, and critical-thinking skills</li><li>Excellent communication and presentation skills</li><li>Ability to work in a night shift (full-time, onsite) environment</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs200,000.00 per monthWork Location: In person

Web Applications & Data Integration Company

What You&rsquo;ll Do:<ul><li>Become the go-to expert for our Go-to-Market (GTM) engine, analyzing the full funnel from marketing spend and lead generation to sales conversion and customer lifetime value (LTV).</li><li>Transform complex data into compelling narratives and actionable insights for our executive, sales, and marketing leaders. Your work will be the foundation of our strategic decisions.</li><li>Partner with leadership to develop sophisticated forecasting models, set ambitious but achievable goals, and track performance against our OKRs.</li><li>Identify new growth opportunities by analyzing market trends, customer behavior, and product performance, presenting your findings with clarity and conviction.</li><li>Own the data stack for our commercial teams, ensuring data integrity and building the BI infrastructure (dashboards, reports) that serves as the single source of truth for our revenue organization.</li></ul>What You&rsquo;ll Bring (The Ideal Candidate):<ul><li>A deep curiosity and a relentless passion for using data to solve complex business problems.</li><li>7+ years of experience in a highly analytical role such as Business/Commercial Analyst, Revenue Operations, Sales Analytics, or a similar field.</li><li>Expert-level proficiency in SQL and BI visualization tools (Ideally Power BI and Zoho Analytics).</li><li>Proven experience analyzing SaaS sales funnels, marketing campaigns (CAC, LTV), and operational efficiency metrics.</li><li>An exceptional ability to communicate complex findings to non-technical stakeholders in a clear and persuasive manner.</li><li>A proactive, ownership-driven mindset. You don&rsquo;t wait to be asked; you seek out the next big question to answer.</li><li>Experience in a high-growth B2B SaaS environment is a huge plus.</li></ul>Must have: Masters in data science / data engineering or related field with focus on dataJob Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This position is for night shift 9pm to 6am PKT. Are you willing to proceed?</li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Commercial Data Analyst: 3 years (Preferred)</li></ul>Work Location: In person

Senior Commercial Data Analyst

HUMAN FORCE GROUP

We&rsquo;re Hiring: Senior Product Analyst (Part-Time | Remote)We are looking for a skilled and experienced Senior Product Analyst to join our team on a part-time, remote basis. If you&rsquo;re someone who can turn data into actionable insights and help drive product decisions, we&rsquo;d love to hear from you!Key Responsibilities:<ul><li>Analyze product performance, user behavior, and key metrics</li><li>Collaborate with clients, developers, and stakeholders</li><li>Define and track KPIs to measure success</li><li>Conduct A/B testing and optimize product features</li><li>Prepare reports and presentations for internal teams</li><li>Identify improvement areas and recommend solutions</li></ul>Requirements:<ul><li>5+ years of experience as a Product Analyst</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and presentation abilities</li><li>Experience with tools like Excel, SQL, Power BI, etc.</li><li>Ability to work independently in a remote setup</li><li>Solid understanding of product lifecycle &amp; user experience</li></ul>Preferred Skills:<ul><li>Experience in agile environments</li><li>Familiarity with tools like Google Analytics, Mixpanel</li><li>Basic understanding of product management principles</li></ul>Job Type: Part-timeWork Location: In person

Senior Product Analyst

Explore 744+ Data analytics analyst in Lahore this April. Find roles across top companies and apply now to boost your career.

744 data analytics analyst jobs In Lahore

Data Analyst

Data Analyst Intern

Data Insights Analyst

Sales Data Quality Analyst II

Data Analyst

Senior Commercial Data Analyst

Senior Product Analyst