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Scaleup Connect

Data Insights &amp; Strategy Specialist 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 & Strategy Specialist

Luminey

Employment Type: Full-Time Location: Gajjumata, Ferozepur Road, LahoreJob OverviewWe are looking for a detail-oriented and analytical Data Analytics Executive with a solid understanding of supply chain processes and inventory management. The selected candidate will be responsible for converting operational and inventory data into meaningful insights to support decision-making, improve stock accuracy, and enhance overall supply chain performance.This role requires hands-on experience with ERP, POS, or customized systems, strong analytical capabilities, and the ability to independently manage and interpret data from multiple sources. Experience in footwear or branded retail environments will be a plus.Key ResponsibilitiesData Analysis &amp; Reporting<ul><li>Gather, clean, and analyze supply chain and inventory data from ERP, POS, and internal systems</li><li>Develop and maintain reports and dashboards related to stock levels, inventory movement, sales trends, procurement, and logistics</li><li>Identify gaps, risks, and improvement opportunities through data-driven insights</li><li>Provide forecasting, trend analysis, and actionable recommendations for management</li><li>Ensure accuracy, consistency, and integrity of data across all platforms</li></ul>Supply Chain &amp; Inventory Analytics<ul><li>Monitor stock levels, inventory aging, demand trends, and replenishment needs</li><li>Analyze stock turnover, slow-moving products, and potential stockout risks</li><li>Support procurement planning and warehouse efficiency through analytical input</li><li>Contribute to improving supply chain performance, reducing lead times, and controlling costs</li><li>Ensure alignment between system data and physical inventory</li></ul>Systems &amp; Software Management<ul><li>Operate ERP, POS, and inventory or customized software systems effectively</li><li>Maintain accurate system entries and perform regular reconciliations</li><li>Adapt to new tools, dashboards, and internal systems as required</li><li>Collaborate with supply chain, operations, and IT teams to improve workflows and reporting</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Data Analytics, Supply Chain Management, Business Administration, or a related field</li><li>2&ndash;5 years of experience in data analytics, supply chain, or inventory-focused roles</li><li>Strong analytical and reporting skills with advanced MS Excel proficiency</li><li>Practical experience with ERP or inventory management systems</li><li>Ability to work across multiple platforms and adapt quickly to new systems</li><li>Strong problem-solving skills with attention to detail</li><li>Good communication and coordination abilities</li><li>Ability to work independently and manage multiple tasks effectively</li></ul>Preferred Qualifications<ul><li>Experience with ERP systems such as SAP, Oracle, Odoo, or similar</li><li>Familiarity with BI tools, KPIs, dashboards, and forecasting methods</li><li>Experience in retail, distribution, or manufacturing industries</li><li>Understanding of inventory optimization, demand planning, and supply chain metrics</li><li>Prior experience in footwear or retail shoe industry will be an advantage</li></ul>Work Location: In person

Data Analytics Executive (Supply Chain & Inventory)

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

NielsenIQ

<div>Job Description 
The Client Integration Data Transformation Specialist is responsible for supporting the successful deployment of new and updated services. This includes managing standard and custom data feeds, creating custom Excel extracts, and integrating with GS1 data platforms. The role is pivotal in ensuring seamless data transformation and integration processes that meet client needs and project specifications.
Job Responsibilities<ul><li>
Bespoke Integration Delivery:</li><li>
Participate in the delivery of bespoke integrations, whether client-specific or GDSN (Global Data Synchronization Network).</li><li>
Support data mapping, testing, and deployment activities to ensure accurate and efficient data integration.</li><li>
Work with detailed data specifications and customer requirements.</li><li>
Project Management:</li><li>
Meet project milestones and adhere to client specifications for both inbound and outbound projects.</li><li>
Collaborate with project managers to ensure timely and successful project delivery.</li><li>
Knowledge Maintenance:</li><li>
Maintain up-to-date knowledge of Nielsen Brandbank and local GDSN data models and capture rules.</li><li>
Continuously update skills and knowledge to stay current with industry standards and best practices.</li><li>
Understand complex data mapping and transformation procedures.</li><li>
Collaboration with Consultants and Developers:</li><li>
Work closely with consultants and developers to create patches and changes that support bespoke data outputs.</li><li>
Ensure that all changes are thoroughly tested and meet quality standards before deployment.</li><li>
Data Transformation Logic:</li><li>
Build out data transformation logic to ensure data is accurately transformed and integrated.</li><li>
Identify test scenarios and create test data to validate the transformation processes.</li><li>
Experience in the field of complex data transformation/mapping exercises.</li><li>
Data Quality Assurance:</li><li>
Ensure data quality is maintained throughout the transformation process to the NBB Product Library, GDSN Connector, and retailer sites.</li><li>
Implement quality control measures to detect and correct data issues.</li><li>
Supplier/Retailer Consultancy:</li><li>
Provide consultancy services to suppliers and retailers to maintain the relevance and quality of data coverage.</li><li>
Advise on best practices for data integration and transformation to meet bespoke and standard integration requirements.</li><li>
Stakeholder Communication:</li><li>
Maintain regular and effective communication with key stakeholders, including project managers, clients, and internal teams.</li><li>
Provide updates on project progress, address any issues, and ensure alignment with project goals.</li><li>
Effective communicator, verbally and in writing, in local and English languages.</li></ul> 
Additional Information<div></div> 
Our Benefits<ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</div>

Data Transformation Specialist

Mous

<div>
 📱
 
 About Mous
 
 
 
 We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That&rsquo;s why we&rsquo;re building the go-to brand for products that genuinely deliver.
 
 
 For over 10 years, we&rsquo;ve pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&amp;D. In parallel, we&rsquo;ve built world-class in-house marketing capabilities, creating highly engaging, performance-led content that proves what our products can do and resonates with a passionate, fast-growing community around the brand.
 
 
 From throwing phones off dams to launching category-defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world.
 
 
 👨&zwj;💻
 
 About the Role
 
 
 
 We&rsquo;re looking for a highly analytical and commercially-minded Data Analyst to join our fast-growing PK office.
 
 
 This is a high-impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You&rsquo;ll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision-making across the company.
 
 
 You&rsquo;ll work closely with cross-functional teams (Growth, Product, Marketing, and Leadership), to champion the use of data across the business to identify what&rsquo;s working, what isn&rsquo;t, and where the biggest opportunities lie.
 
 
 This role is designed for someone who wants ownership early, thrives in a fast-paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data-driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you!
 
 
 👋
 
 About You
 
 
 
 As a Data Analyst at Mous, you&rsquo;ll possess a unique blend of commercial prowess, problem solving skills, and a passion for data-driven decision making. You are not only detail-oriented but also capable of seeing the bigger picture, transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company.
 
 
 You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data-driven culture, empowering the organisation through informed decision-making and self-sufficient data management.
 
 
 🔑
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Conduct comprehensive data analysis to support business decision-making, identifying trends, patterns, and insights.
 </li>
 <li>
 Build and refine dynamic dashboards to monitor key performance indicators (KPIs) and objectives and key results (OKRs), enabling access to cross-departmental data.
 </li>
 <li>
 Proactively identify areas for improvement within the company's processes and systems and implement automated solutions.
 </li>
 <li>
 Lead and support strategic cross-department initiatives to drive value. E.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling.
 </li>
 <li>
 Support in building out fundamental data sources, to allow analysis of data from multiple key platforms.
 </li>
 <li>
 Communicate insights and present key findings to relevant stakeholders while acting as a point of call for data-related questions.
 
 
 </li>
 </ul>
 
 ✔️How will success be measured?
 
 
 
 <ul>
 <li>
 Delivering clear, actionable insights that directly influence business decision making.
 </li>
 <li>
 Developing a strong understanding of our data infrastructure at Mous
 </li>
 <li>
 Building high-quality, durable dashboards and data models that improve access to cross-departmental data
 </li>
 <li>
 Proactively identifying and resolving opportunities and inefficiencies
 </li>
 <li>
 Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices
 
 
 </li>
 </ul>
 🤓
 
 Skills requirements:
 
 
 
 
 Hard skills:
 
 
 
 <ul>
 <li>
 0-2 years of experience in a data-related role, or relevant higher education/qualifications.
 </li>
 <li>
 A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly.
 </li>
 <li>
 A knack for numbers with the confidence to tackle and interpret large, complex data sets.
 </li>
 <li>
 Experience in SQL, Excel and a dashboarding tool (PowerBI preferred)
 
 
 </li>
 </ul>
 
 Soft skills:
 
 
 
 <ul>
 <li>
 Strong problem solver &ndash; never afraid to get stuck into the detail to uncover insights.
 </li>
 <li>
 Strong communication skills, with the ability to translate insights clearly for technical, non-technical, and senior stakeholders, while effectively managing both internal teams and external partners.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Experience with DBT for analytics engineering.
 </li>
 <li>
 Data modelling skills to structure and optimise datasets.
 </li>
 <li>
 Proficiency in Python for data analysis and automation.
 </li>
 <li>
 Familiarity with R for statistical analysis and reporting.
 </li>
 <li>
 Experience working within a D2C or consultancy environment.
 
 
 </li>
 </ul>
 
 🎉 Our Offer
 
 
 
 We operate a hybrid working model, spending four days a week in our Lahore office to maintain a collaborative, high-energy culture.
 
 
 Why work at Mous?
 
 
 <ul>
 <li>
 Travel Allowance: Monthly support for daily commuting and work-related travel.
 </li>
 <li>
 Health Insurance: Comprehensive cover for you and your dependents.
 </li>
 <li>
 Long-Term Rewards: One month of paid leave after 5 years&rsquo; service.
 </li>
 <li>
 Competitive Pay: A strong starting salary aligned with your experience and impact.
 </li>
 <li>
 Dynamic Culture: A collaborative, high-performance, data-driven environment where innovation thrives.
 </li>
 <li>
 Growth &amp; Development: Opportunities to learn, stretch, and grow through new challenges.
 </li>
 <li>
 Professional Development: Training budget plus regular Mousterclasses to share expertise across teams.
 </li>
 <li>
 Charlie HR Perks: Access to exclusive perks and discounts via Charlie HR.
 </li>
 <li>
 Global Collaboration: Seamless remote collaboration with international teams, including weekly all-hands and virtual socials.
 
 
 </li>
 </ul>
 🐭
 
 Our Values
 
 
 
 
 G
 
 
 et Results
 
 &ndash; We take accountability, prioritise impact, and push standards higher.
 
 
 
 Work Together
 
 &ndash; We collaborate openly, challenge constructively, and learn from each other.
 
 
 
 Enjoy the Ride
 
 &ndash; We stay agile, embrace change, and enjoy building something special together.
 
 
 
 🌈 About Our Commitment
 
 
 
 Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.
</div>

Data Analyst - PK

Software Finder Careers

<div>
 
 About The Role
 
 
 
 Software Finder is looking for a Data Strategy &amp; Market Intelligence Specialist to support the organization&rsquo;s data expansion efforts across multiple SaaS categories. This role focuses on market analysis, vendor evaluation, and data sourcing strategy to ensure scalable and reliable lead generation across new and existing verticals.
 
 
 This is a strategic and execution focused role suited for someone who can connect market insights with data operations, and independently drive research, evaluation, and sourcing decisions that directly impact growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct market research across SaaS categories to identify expansion opportunities and data gaps
 </li>
 <li>
 Develop Total Addressable Market models to estimate opportunity size across different segments
 </li>
 <li>
 Identify, evaluate, and benchmark potential data vendors based on quality, coverage, and scalability
 </li>
 <li>
 Assess current data infrastructure and determine readiness to support new vendor verticals
 </li>
 <li>
 Design and recommend data sourcing strategies across external vendor procurement and internal data extraction
 </li>
 <li>
 Work closely with data operations to align sourcing priorities with ICP requirements and campaign demand
 </li>
 <li>
 Analyse vendor performance and continuously optimize sourcing strategies for efficiency and cost effectiveness
 </li>
 <li>
 Maintain documentation of data sources, coverage, and performance benchmarks
 </li>
 <li>
 Monitor industry trends, emerging vendors, and changes in data availability
 </li>
 <li>
 Support leadership with insights and recommendations for market entry and expansion decisions
 
 
 </li>
 </ul>
 
 Qualification &amp; Skills
 
 
 
 <ul>
 <li>
 2 to 4 plus years of experience in market research, data strategy, business intelligence, or a related role
 </li>
 <li>
 Strong analytical skills with experience in market sizing, segmentation, and trend analysis
 </li>
 <li>
 Experience evaluating third party data vendors or working with external data sources is preferred
 </li>
 <li>
 Proficiency in Excel for modelling, analysis, and reporting
 </li>
 <li>
 Ability to synthesize complex data into clear, actionable insights
 </li>
 <li>
 Strong research and problem-solving skills with attention to detail
 </li>
 <li>
 Ability to work cross functionally with data, marketing, and growth teams
 
 
 </li>
 </ul>
 
 Software Finder
 
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 
 
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 
 
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>

Data Strategy & Market Intelligence Specialist

Recruitzz

Timings: 3 PM &ndash; 12 AM (Full-time, On-site)Location: Near Muslim Town Gulberg 2 LahoreKey Responsibilities:● Define, manage, and optimize the data pipeline: ingestion from internal systems,external sources, APIs, etc.● Clean, validate, and transform raw data to prepare it for analysis and reporting.● Conduct exploratory data analysis to identify trends, patterns, anomalies, andbusiness opportunities.● Write efficient SQL queries to extract data, build metrics, and support businessdecisions.● Build dashboards, visualizations, and automated reports for cross-functional teams.● Collaborate with product, engineering, operations, and leadership to understand dataneeds and provide actionable insights.● Monitor data quality, integrity, and performance; proactively detect and resolveissues.● Maintain documentation for datasets, definitions, dashboards, and key metrics.● Promote a data-driven culture by enabling teams to use data confidently andeffectively.● Continuously evaluate and recommend improvements to data tools,architecture, and processes.Required Skills &amp; Experience● 4+ years of experience in a data-focused role (Data Scientist, Data Analyst, BusinessIntelligence, etc.).● Strong command of SQL and experience writing optimized queries (joins,aggregations, filters, CTEs, etc.).● Proven experience with data cleaning, transformation, and ETL/ELT workflows.● Experience using Databricks or similar platforms for data processing, notebooks, orworkflows.● Experience building dashboards using tools like Metabase, Tableau, Looker, orPower BI.● Ability to create clear, intuitive dashboards for non-technical stakeholders.● Strong analytical thinking: ability to translate data into insights and insights intoactionable recommendations.● Excellent communication skills with the ability to explain complex findings simply.● Highly organized, detail-oriented, and capable of managing multiple projectsconcurrently.● Proactive and comfortable working in a dynamic, fast-paced environment.Job Type: Full-timeApplication Question(s):<ul><li>Onsite Position in Gulberg 2 Near FC College Lahore, Are you willing?</li></ul>Experience:<ul><li>Data Analysis: 5 years (Preferred)</li><li>Business Intelligence (BI): 5 years (Preferred)</li></ul>Work Location: In person

Senior Business Intelligence Analyst

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