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associate-cx analytics & voc insights Jobs in Karachi

associate-cx analytics & voc insights

bi consultant

bi consultant google looker lookml looker studio

Datamatics Global Services Ltd

<div>BI Consultant (Google Looker / LookML / Looker Studio) 
 
Experience: 8+ Years 
Location: Remote 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced BI Consultant with deep, hands-on expertise in Google Looker, LookML, and Looker Studio. The ideal candidate will be responsible for designing scalable semantic models, developing high-quality dashboards, and transforming complex business data into actionable insights. This role requires strong collaboration with cross-functional teams, excellent analytical ability, and a solid understanding of modern cloud data platforms.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain LookML models, explores, and reusable components to support scalable and governed analytics.</li><li>
Build interactive dashboards, reports, and visualizations in Looker and Looker Studio tailored to business needs.</li><li>
Create and optimize semantic data models ensuring consistency, reliability, and long-term maintainability.</li><li>
Collaborate with data engineering and business teams to define requirements, translate analytical needs, and ensure high-quality data delivery.</li><li>
Perform data validation, testing, and QA to ensure accuracy and performance of LookML and dashboards.</li><li>
Optimize Looker queries, model structures, and BI performance across large datasets.</li><li>
Manage version control workflows (Git) and follow structured development and deployment processes.</li><li>
Work with cloud data warehouses such as BigQuery, Snowflake, or Redshift to design and integrate data structures.</li><li>
Troubleshoot issues across modeling, data pipelines, and visualization layers.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
8 years of overall BI experience with proven hands-on expertise in Google Looker, LookML, and Looker Studio.</li><li>
Strong knowledge of SQL, relational data structures, and analytical data modeling.</li><li>
Experience building scalable LookML semantic layers and maintaining governed datasets.</li><li>
Solid understanding of cloud data warehouses (BigQuery preferred; Snowflake/Redshift is a plus).</li><li>
Proficient with Git-based version control and collaborative development workflows.</li><li>
Strong analytical, debugging, and performance optimization skills.</li><li>
Ability to translate business requirements into effective BI solutions.</li><li>
Excellent communication and stakeholder-management skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with dbt, BigQuery ML, or other modern data stack technologies.</li><li>
Background in data engineering or advanced SQL optimizations.</li><li>
Knowledge of data governance and enterprise BI architectures.</li></ul>
LToDlDva9F</div>

BI Consultant (Google Looker / LookML / Looker Studio)

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
i6GpPhb9iD</div>

AI Data Scientist

Datamatics Technologies

<div>
 
 Job Title:
 
 AI Data Scientist (Offshore)
 
 
 
 Duration:
 
 6 Months (Extendable)
 
 
 Experience:
 
 &nbsp;6&ndash;8 Years
 
 
 Location:
 
 Offshore (Remote)
 
 
 Industry:
 
 Multi-Industry (with focus on Financial Sector)
 
 
 Employment Type:
 
 Contract (6 Months - Higher possiblity for extension)
 
 
 
 Job Summary
 
 
 We are seeking a highly skilled
 
 AI Data Scientist
 
 with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
 
 financial services domain
 
 . The ideal candidate will have strong proficiency in
 
 Python, SQL
 
 , and
 
 Google Cloud Platform (GCP)
 
 tools &mdash; leveraging platforms like
 
 BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
 
 to deliver scalable and automated AI solutions.
 
 
 This is an exciting
 
 6-month contract role (with potential extension)
 
 focused on developing
 
 descriptive, predictive, and prescriptive models
 
 and deploying them in production using
 
 MLOps best practices
 
 .
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design and develop
 
 data science and machine learning models
 
 across descriptive, predictive, and prescriptive analytics.
 
 </li>
 <li>
 
 Work closely with business stakeholders&mdash;especially in the
 
 financial sector
 
 &mdash;to translate complex problems into AI-driven solutions.
 
 </li>
 <li>
 
 Develop and automate
 
 end-to-end ML pipelines
 
 on
 
 GCP
 
 using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
 
 </li>
 <li>
 
 Implement
 
 MLOps
 
 frameworks for continuous integration, deployment, and monitoring of machine learning models.
 
 </li>
 <li>
 
 Analyze large datasets using
 
 BigQuery
 
 and other GCP-native tools for data transformation, feature engineering, and model training.
 
 </li>
 <li>
 
 Visualize insights and performance metrics using
 
 Looker
 
 and other BI tools.
 
 </li>
 <li>
 
 Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
 
 </li>
 <li>
 
 Evaluate model performance and refine algorithms for improved accuracy and business impact.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 
 
 5&ndash;8 years
 
 of professional experience in
 
 data science, AI/ML
 
 , and analytics roles.
 
 </li>
 <li>
 
 Proven expertise in
 
 Python
 
 (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
 
 SQL
 
 for data analysis and model development.
 
 </li>
 <li>
 
 Hands-on experience with
 
 GCP ecosystem
 
 , including:
 
 <ul>
 <li>
 
 
 BigQuery
 
 (data querying and transformation)
 
 </li>
 <li>
 
 
 Vertex AI
 
 (model training, tuning, deployment)
 
 </li>
 <li>
 
 
 Dataflow / Dataproc
 
 (data processing pipelines)
 
 </li>
 <li>
 
 
 Pub/Sub
 
 (event-driven data streaming)
 
 </li>
 <li>
 
 
 GCS (Google Cloud Storage)
 
 and
 
 Looker
 
 (visualization and reporting)
 
 </li>
 </ul>
 </li>
 <li>
 
 Strong knowledge of
 
 MLOps automation
 
 and continuous deployment best practices.
 
 </li>
 <li>
 
 Experience developing models in
 
 financial services
 
 (risk scoring, fraud detection, customer analytics, forecasting, etc.).
 
 </li>
 <li>
 
 Strong understanding of
 
 statistical modeling
 
 ,
 
 feature engineering
 
 , and
 
 model performance evaluation
 
 .
 
 </li>
 <li>
 
 Excellent problem-solving and communication skills with ability to work in multi-industry environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience in
 
 multi-cloud
 
 or hybrid environments.
 
 </li>
 <li>
 
 Knowledge of
 
 CI/CD pipelines
 
 for ML (GitHub Actions, Jenkins, or Cloud Build).
 
 </li>
 <li>
 
 Exposure to
 
 deep learning frameworks
 
 (TensorFlow, PyTorch).
 
 </li>
 <li>
 
 Experience in
 
 time-series forecasting
 
 ,
 
 credit modeling
 
 , or
 
 financial risk analytics
 
 .
 
 </li>
 </ul>
</div>

Digital Auxilius

<div>
 
 Position Title:
 
 Performance Marketer
 
 
 
 Location:
 
 Onsite &ndash; Karachi
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Work Schedule:
 
 Monday to Friday (40 hours/week)
 
 
 
 About the Role:
 
 
 
 Digital Auxilius is seeking a
 
 Performance Marketer
 
 with proven expertise in running and scaling paid advertising campaigns. This role is highly performance-driven, requiring deep knowledge of platforms like Facebook Ads, Google Ads, LinkedIn Ads, and X (Twitter). The ideal candidate will combine analytical thinking with creative strategy to maximize ROI, generate leads, and achieve measurable business outcomes.
 
 
 Candidates with experience in
 
 conversion optimization, retargeting campaigns, reporting dashboards, and marketing automation
 
 will be highly preferred.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Plan, execute, and optimize paid marketing campaigns across Facebook, Google, LinkedIn, and Twitter
 </li>
 <li>
 Develop strategies to maximize ROI, reduce CAC, and increase lead generation
 </li>
 <li>
 Monitor and analyze campaign KPIs (CTR, CPC, CPA, ROAS, conversion rate, etc.)
 </li>
 <li>
 Conduct A/B testing on creatives, audiences, and landing pages for performance improvement
 </li>
 <li>
 Work closely with content and design teams to align ads with brand messaging
 </li>
 <li>
 Implement retargeting strategies to nurture leads and improve funnel efficiency
 </li>
 <li>
 Stay updated on industry trends, platform updates, and competitor activities
 </li>
 <li>
 Manage budget allocation and bid strategies to ensure cost efficiency
 </li>
 <li>
 Support email marketing and automation campaigns to drive nurturing and retention
 </li>
 <li>
 Create and maintain detailed performance reports (weekly, monthly, quarterly)
 </li>
 <li>
 Build dashboards and automated reporting systems using tools like Google Data Studio, Looker, Power BI, or Excel
 </li>
 <li>
 Present actionable insights and recommendations to management and stakeholders
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Marketing, Business, or related field
 </li>
 <li>
 3&ndash;5 years of hands-on experience in performance marketing and paid campaign management
 </li>
 <li>
 Proven track record of scaling campaigns with measurable ROI improvements
 </li>
 <li>
 Expertise in tools like Google Analytics, Meta Ads Manager, LinkedIn Campaign Manager, and other tracking platforms
 </li>
 <li>
 Strong knowledge of conversion tracking, pixels, attribution models, and reporting dashboards
 </li>
 <li>
 Analytical mindset with the ability to translate data into actionable insights
 </li>
 <li>
 Self-starter with strong project management and coordination skills
 
 
 </li>
 </ul>
 
 Bonus Skills:
 
 
 
 <ul>
 <li>
 Experience with marketing automation tools (HubSpot, Mailchimp, Brevo, etc.)
 </li>
 <li>
 Knowledge of SEO/SEM basics to complement paid marketing efforts
 </li>
 <li>
 Familiarity with influencer and affiliate marketing strategies
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits:
 
 
 
 <ul>
 <li>
 Market-competitive salary
 </li>
 <li>
 In-house lunch provided
 </li>
 <li>
 Project bonuses &amp; portfolio-enhancing opportunities
 </li>
 <li>
 Performance-based incentives &amp; Employee of the Month bonus
 </li>
 <li>
 Fuel allowance
 </li>
 <li>
 Comprehensive medical insurance for self, spouse, and children
 </li>
 <li>
 Employee Old Age Benefit Institution (EOBI) coverage
 </li>
 <li>
 5-day work week
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 FPADBNqvX7
</div>

Performance Marketer (Evening Shift)

Squarera

We are looking for a motivated Snowflake Developer with 1&ndash;3 years of experience in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.Key Responsibilities:<ul><li>Develop, implement, and maintain data warehouse solutions using the Snowflake Cloud Data Platform.</li><li>Build and optimize ETL/ELT pipelines using tools such as dbt, Airflow, or Azure Data Factory.</li><li>Design and maintain data models, schemas, and transformations for analytics and reporting.</li><li>Implement data performance optimization, partitioning, and clustering strategies in Snowflake.</li><li>Manage data access, roles, and security policies.</li><li>Integrate Snowflake with cloud storage and BI tools like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul>Required Skills &amp; Experience:<ul><li>1&ndash;3 years of experience as a Snowflake Developer or Data Engineer.</li><li>Strong command over SQL and data modeling concepts (star/snowflake schema).</li><li>Practical experience with Snowflake architecture (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Experience working with structured and semi-structured data (JSON, Parquet, etc.).</li><li>Basic knowledge of Python for scripting and data manipulation.</li><li>Good understanding of ETL/ELT workflows and best practices.</li></ul>Preferred Qualifications:<ul><li>SnowPro Core Certification (a plus).</li><li>Experience in CI/CD pipelines and version control (Git, Jenkins).</li><li>Exposure to data governance and security compliance processes.</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Snowflake Developer

NextGenI

<div><div><div><div><div><div><div><ul><div>Karachi</div>
<div>Full-Time</div><div> 
</div></ul></div></div></div></div></div></div><div><div><div>Job Details:
<div><ul><li>Role: eCommerce Product Lead</li></ul>
<ul><li>Location: Hybrid
</li></ul><ul><li>Type: Full-Time</li></ul>
<ul><li>Experience Range: 5-8 Years</li></ul>
</div>
About NextGENi: 
 
NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
About the Role: 
 
We are seeking a results-oriented eCommerce Product Lead to own the end-to-end strategy, development, and execution of our core platforms, digital products, and strategic initiatives. This role demands a high-impact leader with a strong bias for action, capable of translating complex business challenges and e-commerce business solutions into clear, data-driven product solutions. The ideal candidate will possess deep expertise in product discovery, market analysis, and a proven track record of managing complex cross-functional teams and international clients, demonstrating the cultural understanding needed to navigate and sustain relationships to deliver quantifiable business outcomes.
Key Responsibilities:
<div><ul><li>Define, prioritize, and execute product roadmaps for core products and digital platforms, aligning with company goals.</li></ul>
<ul><li>Identify operational bottlenecks and implement automated workflows to boost efficiency and scalability.</li></ul>
<ul><li>Lead Agile/Scrum sprints, preparing clear PRDs and user stories for engineering, design, and stakeholders.</li></ul>
<ul><li>Define KPIs, run A/B tests and market research, and optimize funnels for measurable growth.</li></ul>
<ul><li>Understand customer pain points via research (NPS, CSAT, interviews) and design solutions to enhance satisfaction and loyalty.</li></ul>
<ul><li>Develop and execute GTM plans for new features, ensuring market adoption and readiness.</li></ul>
<ul><li>Manage client relationships and translate commercial needs into actionable product requirements.</li></ul>
</div>
Key Requirements:
<div><ul><li>5+ years of Product Management experience in high-growth B2B or B2C software environments.</li></ul>
<ul><li>Strong ability to define product requirements across modern tech stacks (Flutter, Node.js, React, Shopify) and familiarity with DevOps principles in delivery.</li></ul>
<ul><li>Proven experience leading cross-functional teams of engineers and UX/UI designers.</li></ul>
<ul><li>Skilled at turning complex business challenges into clear, testable product solutions.</li></ul>
<ul><li>Proficient in funnel instrumentation, data visualization tools (Google Analytics, Looker/Tableau), and SQL for analysis and data queries.</li></ul>
<ul><li>Experienced in leveraging AI tools (Gemini, ChatGPT), Agile tools (Jira, Confluence, Notion), design tools (Figma, Miro, Visily.ai, Lovable), and analytics tools (Klaviyo, Adjust, Microsoft Clarity, Firebase, Crazy Egg).</li></ul>
</div>
Nice to Have:
<div><ul><li>Experience defining and managing the API strategy for a core platform.</li></ul>
<ul><li>Proven experience mentoring junior or associate Product Managers.</li></ul>
<ul><li>Ability to define Database structures and Schemas.</li></ul>
</div>
<div><div>Instructions to Apply
To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-eCom-001&rsquo;&rsquo; 
Download a blank applicant form
<div><div>Download Form</div></div>
<div>Disclaimer 
Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.</div>
</div></div>
</div></div></div><div><div><div><div>Benefits
If you give your employees the best, they will give you their best! 
We offer the best compensation package to our employees in the industry within Pakistan, second only to none. Take a look at our comprehensive list of benefits that comes with working for us, regardless of your title and position.</div></div></div></div></div>

eCommerce Product Lead

The Hive

We are seeking a dynamic and highly analytical Financial &ndash; Commercial Analyst to support budgeting, financial forecasting, and performance analysis across departments, including Operations, Marketing, Sales, Business Development, and New Center Planning. The ideal candidate is comfortable playing with numbers, uncovering insights, and connecting financial data with business actions. They will help identify patterns, inefficiencies, and opportunities across all cost and revenue centers to optimize commercial performance.Key Responsibilities<ul><li>Prepare, manage, and update budgets across functions (Ops, Marketing, Sales, BD).</li><li>Forecast monthly, quarterly, and annual financial performance including variance analysis.</li><li>Build financial models for setting up new centers, launches, or expansion plans.</li><li>Analyze spend trends and flag areas of concern or inefficiencies across departments.</li><li>Break down marketing and operational expenses to per-customer metrics, cost centers, and activities.</li><li>Recommend budget reallocation based on performance indicators and business priorities.</li><li>Compare actuals vs targets for sales, marketing, and BD initiatives.</li><li>Monitor conversion funnel metrics, pricing impact, and ROI of campaigns.</li><li>Support revenue optimization by identifying profitable segments and pricing levers.</li><li>Work with all teams to consolidate and analyze data for weekly, monthly, quarterly, and annual performance reports.</li><li>Ensure cohesive and timely reporting on KPIs for each department and location.</li><li>Maintain baseline financial and operational metrics for comparison and forecasting.</li><li>Assist GM &ndash; Commercial with data analysis and insight generation to support strategic initiatives.</li><li>Prepare clear, data-driven reports and summaries to inform key decisions.</li><li>Provide input on improving operational efficiency and long-term planning.</li></ul>Requirements:<ul><li>Bachelor's degree in Finance, Accounting, Economics, Business Analytics, or related field.</li><li>3+ years of experience in financial analysis, commercial strategy, or business analytics.</li><li>Strong proficiency in Excel, financial modeling, and tools like Power BI, Tableau, or Google Data Studio.</li><li>Working knowledge of accounting systems and CRM/ERP software (e.g., QuickPay, Odoo).</li><li>Solid understanding of key metrics: ROI, CAC, LTV, per-seat cost, occupancy, burn rate, etc.</li><li>Sharp analytical thinking, attention to detail, and problem-solving mindset.</li><li>Excellent communication and presentation skills.</li><li>Ability to handle confidential and sensitive financial data with integrity.</li></ul>Preferred Qualities: <ul><li>Experience in real estate, co-working, retail, or commercial operations.</li><li>Ability to work under pressure and across multiple departments.</li><li>Self-starter with the discipline to manage time and tasks with minimal oversight.</li></ul>Job Type: Full-timeWork Location: In personApplication Deadline: 02/12/2025 Expected Start Date: 05/12/2025

Financial-Commercial Analyst

Explore 506+ Bi consultant google looker lookml looker studio in Karachi this December. Find roles across top companies and apply now to boost your career.

506 bi consultant google looker lookml looker studio jobs IN Karachi

BI Consultant (Google Looker / LookML / Looker Studio)

AI Data Scientist

AI Data Scientist

Performance Marketer (Evening Shift)

Snowflake Developer

eCommerce Product Lead

Financial-Commercial Analyst