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Idenfo

<div>Location: Karachi, Pakistan &ndash; DHA Phase 6
Experience: 2&ndash;3 years
 
 
About the Role
Idenfo is a RegTech product company operating in the AML/KYC space. We are looking for a Data Analyst &ndash; AI &amp; Automation to join our team, where data, automation, and applied AI directly impact product performance and client outcomes.
This is a core product-facing data role, working closely with Development, SQA, DevOps, and Product teams. You will own data analytics, automation workflows, and innovation initiatives that improve efficiency, accuracy, and intelligence across operations. 
Key Responsibilities
Data Automation &amp; Pipelines<ul>
<li>Build and maintain automated data pipelines for ingestion, transformation, validation, and reconciliation</li>
<li>Implement data quality checks, delta comparisons, and monitoring mechanisms</li>
<li>Reduce manual effort through Python-based automation</li></ul>
AI, NLP &amp; Innovation<ul>
<li>Support and enhance AI-driven initiatives, including LLM-based tools, intelligent search, or chatbot-style solutions</li>
<li>Work with RAG-based workflows, NLP pipelines, or rule-enhanced AI systems relevant to AML use cases</li>
<li>Continuously explore emerging data and AI technologies and propose practical implementations</li></ul>
Database &amp; Performance Optimization<ul>
<li>Write, optimize, and maintain complex SQL queries for analytics and operational use</li>
<li>Improve database structures and query performance in collaboration with the development team</li></ul>
Cross-Functional Collaboration<ul>
<li>Work closely with Developers, SQA, and DevOps to ensure data reliability across environments</li>
<li>Collaborate with Compliance and Product teams to translate regulatory and business requirements into data solutions</li>
<li>Present insights and recommendations to senior management and leadership</li></ul>
Data Analytics &amp; Reporting<ul>
<li>Design, develop, and maintain dashboards for Name Screening metrics</li>
<li>Deliver actionable insights from large operational and compliance datasets</li>
<li>Support internal stakeholders with ad-hoc analysis, trends, and performance reporting 
 
</li></ul>Required Skills &amp; Experience
Must-Have<ul>
<li>2&ndash;3 years of experience as a Data Analyst or similar role in a tech product company</li>
<li>Strong hands-on expertise in Python (data analysis, scripting, automation)</li>
<li>Advanced SQL skills (joins, performance tuning, query optimization)</li>
<li>Proven experience with Power BI (dashboards, data modeling, DAX basics)</li>
<li>Solid understanding of data cleaning, wrangling, and transformation</li>
<li>Experience working with production data systems in collaboration with Dev teams</li></ul>
Good to Have<ul>
<li>Exposure to AML, KYC, FinTech, or RegTech data</li>
<li>Experience with web scraping and handling unstructured datasets</li>
<li>Familiarity with LLMs, NLP frameworks, LangChain, or RAG-based systems</li>
<li>Experience using Git / Bitbucket in collaborative environments</li>
Background in Computer Science, or Data Science 
<li>
</li></ul>What We're Looking For<ul>
<li>Someone who owns problems end-to-end, not just reports numbers</li>
<li>Strong analytical thinking with a bias toward automation and efficiency</li>
<li>Comfortable working in a product-based tech environment</li>
<li>Able to communicate clearly with both technical and non-technical stakeholders</li>
<li>Curious, proactive, and continuously improving their skill set</li></ul>
Why Join Idenfo<ul>
<li>Work on real-world AML/KYC problems used by global clients</li>
<li>High-impact role with direct visibility and ownership</li>
<li>Exposure to AI, automation, and scalable data systems</li>
<li>Collaborative culture with Development, SQA, and DevOps teams</li>
<li>Flexible, hybrid-friendly work setup</li></ul></div>

Data Analyst – AI & Automation

<div>
 
 Location:
 
 Karachi, Pakistan &ndash; DHA Phase 6
 
 
 
 Experience:
 
 2&ndash;3 years
 
 
 
 About The Role
 
 
 
 Idenfo is a RegTech product company operating in the AML/KYC space. We are looking for a
 
 Data Analyst &ndash; AI &amp; Automation
 
 to join our team, where data, automation, and applied AI directly impact product performance and client outcomes.
 
 
 This is a
 
 core product-facing data role
 
 , working closely with
 
 Development, SQA, DevOps, and Product teams
 
 . You will own data analytics, automation workflows, and innovation initiatives that improve efficiency, accuracy, and intelligence across operations.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Automation &amp; Pipelines
 
 
 
 <ul>
 <li>
 Build and maintain automated data pipelines for ingestion, transformation, validation, and reconciliation
 </li>
 <li>
 Implement data quality checks, delta comparisons, and monitoring mechanisms
 </li>
 <li>
 Reduce manual effort through Python-based automation
 
 
 
 </li>
 </ul>
 
 AI, NLP &amp; Innovation
 
 
 
 <ul>
 <li>
 Support and enhance AI-driven initiatives, including LLM-based tools, intelligent search, or chatbot-style solutions
 </li>
 <li>
 Work with RAG-based workflows, NLP pipelines, or rule-enhanced AI systems relevant to AML use cases
 </li>
 <li>
 Continuously explore emerging data and AI technologies and propose practical implementations
 
 
 
 </li>
 </ul>
 
 Database &amp; Performance Optimization
 
 
 
 <ul>
 <li>
 Write, optimize, and maintain complex SQL queries for analytics and operational use
 </li>
 <li>
 Improve database structures and query performance in collaboration with the development team
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Developers, SQA, and DevOps to ensure data reliability across environments
 </li>
 <li>
 Collaborate with Compliance and Product teams to translate regulatory and business requirements into data solutions
 </li>
 <li>
 Present insights and recommendations to senior management and leadership
 
 
 
 </li>
 </ul>
 
 Data Analytics &amp; Reporting
 
 
 
 <ul>
 <li>
 Design, develop, and maintain dashboards for Name Screening metrics
 </li>
 <li>
 Deliver actionable insights from large operational and compliance datasets
 </li>
 <li>
 Support internal stakeholders with ad-hoc analysis, trends, and performance reporting
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2&ndash;3 years of experience as a Data Analyst or similar role in a tech product company
 </li>
 <li>
 Strong hands-on expertise in Python (data analysis, scripting, automation)
 </li>
 <li>
 Advanced SQL skills (joins, performance tuning, query optimization)
 </li>
 <li>
 Proven experience with Power BI (dashboards, data modeling, DAX basics)
 </li>
 <li>
 Solid understanding of data cleaning, wrangling, and transformation
 </li>
 <li>
 Experience working with production data systems in collaboration with Dev teams
 
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Exposure to AML, KYC, FinTech, or RegTech data
 </li>
 <li>
 Experience with web scraping and handling unstructured datasets
 </li>
 <li>
 Familiarity with LLMs, NLP frameworks, LangChain, or RAG-based systems
 </li>
 <li>
 Experience using Git / Bitbucket in collaborative environments
 </li>
 <li>
 Background in Computer Science, or Data Science
 
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Someone who owns problems end-to-end, not just reports numbers
 </li>
 <li>
 Strong analytical thinking with a bias toward automation and efficiency
 </li>
 <li>
 Comfortable working in a product-based tech environment
 </li>
 <li>
 Able to communicate clearly with both technical and non-technical stakeholders
 </li>
 <li>
 Curious, proactive, and continuously improving their skill set
 
 
 
 </li>
 </ul>
 
 Why Join Idenfo
 
 
 
 <ul>
 <li>
 Work on real-world AML/KYC problems used by global clients
 </li>
 <li>
 High-impact role with direct visibility and ownership
 </li>
 <li>
 Exposure to AI, automation, and scalable data systems
 </li>
 <li>
 Collaborative culture with Development, SQA, and DevOps teams
 </li>
 <li>
 Flexible, hybrid-friendly work setup
 
 </li>
 </ul>
</div>

<div>
 
 Location:
 
 Karachi, Pakistan
 
 
 
 Department:
 
 Finance
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Workplace Type:
 
 Hybrid
 
 
 
 Role Overview
 
 
 
 The
 
 Financial Analyst &amp; Operations
 
 role sits at the intersection of finance, operations, and data analytics. This position is responsible for driving financial analysis, management reporting, budgeting support, and operational performance tracking through advanced data insights and automation.
 
 
 The role partners closely with Finance, Operations, Sales, Product, and Leadership to improve efficiency, visibility, and decision-making across the business, leveraging
 
 advanced Excel, Power BI dashboards, financial data analytics, and AI-enabled tools
 
 to support scalable growth.
 
 
 
 Key Responsibilities
 
 
 
 
 Financial Analysis &amp; Reporting
 
 
 
 <ul>
 <li>
 Prepare and deliver monthly management reports, executive dashboards, and KPIs covering both financial and operational performance.
 </li>
 <li>
 Analyze revenue, costs, margins, and variances against budgets and forecasts, providing clear insights and recommendations.
 </li>
 <li>
 Support preparation and review of management accounts in close coordination with accounting teams.
 </li>
 <li>
 Build automated, scalable reporting solutions to improve accuracy, speed, and visibility.
 
 
 
 </li>
 </ul>
 
 Budgeting, Forecasting &amp; FP&amp;A Support
 
 
 
 <ul>
 <li>
 Assist in annual budgeting, rolling forecasts, and long-term financial planning cycles.
 </li>
 <li>
 Develop, maintain, and enhance financial models, assumptions, and scenario analyses.
 </li>
 <li>
 Track actuals vs forecasts, identify risks and inefficiencies, and proactively recommend corrective actions.
 
 
 
 </li>
 </ul>
 
 Operations &amp; Performance Management
 
 
 
 <ul>
 <li>
 Monitor and analyze operational metrics including utilization, productivity, client onboarding, delivery timelines, and cost efficiency.
 </li>
 <li>
 Support RevOps initiatives, client-level profitability analysis, and pricing reviews.
 </li>
 <li>
 Analyze operational workflows and recommend process improvements to enhance scalability, efficiency, and financial control.
 
 
 
 </li>
 </ul>
 
 Data Analytics, Dashboards &amp; Automation
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Power BI dashboards and data visualizations for leadership and business teams.
 </li>
 <li>
 Perform financial data analytics to uncover trends, insights, and performance drivers.
 </li>
 <li>
 Leverage advanced Excel (Power Query, Power Pivot, macros, complex models) for analysis and automation.
 </li>
 <li>
 Utilize AI-powered tools to improve forecasting accuracy, reporting efficiency, and decision-support capabilities.
 
 
 
 </li>
 </ul>
 
 Cross-Functional Business Partnering
 
 
 
 <ul>
 <li>
 Work closely with Sales, Product, Operations, and HR teams to support data-driven decisions.
 </li>
 <li>
 Evaluate financial and operational impact of new features, customizations, and client requests.
 </li>
 <li>
 Provide ad-hoc financial and operational analysis to leadership as required.
 
 
 
 </li>
 </ul>
 
 Process Improvement &amp; Controls
 
 
 
 <ul>
 <li>
 Improve financial and operational reporting processes through automation and standardization.
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across finance and operational systems.
 </li>
 <li>
 Support internal controls, documentation, and governance initiatives.
 
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelors degree in Finance, Accounting, Business, Economics, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience in financial analysis, FP&amp;A, operations finance, or business operations.
 </li>
 <li>
 Strong understanding of financial statements, management reporting, and operational metrics.
 </li>
 <li>
 Exceptional Excel skills (advanced formulas, modeling, automation, Power Query/Power Pivot).
 </li>
 <li>
 Strong experience with Power BI, dashboards, and data visualization.
 </li>
 <li>
 Exposure to financial data analytics and large data sets.
 </li>
 <li>
 Experience with ERP systems, BI tools, or fintech/SaaS platforms is a strong plus.
 </li>
 <li>
 Experience in fintech, technology, or high-growth environments preferred.
 
 
 
 </li>
 </ul>
 
 Key Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Strong analytical, quantitative, and problem-solving skills
 </li>
 <li>
 Ability to translate complex financial and operational data into actionable insights
 </li>
 <li>
 Advanced dashboarding and data storytelling capability
 </li>
 <li>
 High attention to detail with a continuous improvement mindset
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Proactive, adaptable, and comfortable in a fast-paced, evolving environment
 </li>
 <li>
 Curiosity and openness to AI-driven tools and automation
 
 
 
 </li>
 </ul>
 
 Why Join Idenfo?
 
 
 
 <ul>
 <li>
 Hybrid role with direct exposure to finance, operations, and leadership teams
 </li>
 <li>
 Opportunity to influence business performance through data, analytics, and automation
 </li>
 <li>
 Work in a purpose-driven fintech that values impact, ownership, and innovation
 </li>
 <li>
 Clear growth path into Senior FP&amp;A, Finance Manager, or Operations Leadership roles
 
 </li>
 </ul>
</div>

Financial Analyst – FP&A & Operations

VIDIZMO LLC

<div>We are looking for a highly analytical and execution-oriented Senior Product Marketing Analyst to drive and scale our lead intelligence, intent-driven demand programs, and pipeline analytics. This role is ideal for someone who thrives in a fast-paced, AI-driven environment and wants to directly influence revenue outcomes&mdash;not just activity metrics. 
VIDIZMO is a U.S.-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner across Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Through our AI-powered Intelligence Hub, we help Fortune 500 enterprises, government agencies, and public sector organizations securely manage, analyze, and govern complex data with full control and compliance. 
Our Multimodal AI Data Intelligence Platform uses Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to enable advanced capabilities such as automated tagging, redaction, summarization, OCR, translation, subtitle generation, object detection and tracking, intelligent search, sentiment and emotion analysis, topic extraction, document classification, and facial recognition. 
Key Responsibilities 
Lead Scoring &amp; Funnel Management
<ul>
<li>Design, manage, and refine product-level lead scoring frameworks.</li>
<li>Align MQL criteria with real-world sales qualification expectations.</li>
<li>Continuously improve scoring models using behavioral signals, firmographics, and conversion performance.</li>
<li>Apply score decay, negative scoring, and lifecycle controls to preserve funnel accuracy.</li></ul> 


Intent-Driven Demand Programs
<ul>
<li>Identify and track high-intent buyer actions across the customer journey.</li>
<li>Build automation workflows that fast-track sales-ready leads while nurturing earlier-stage interest.</li>
<li>Segment audiences by product focus, buyer persona, and purchasing stage to improve engagement and conversion.</li></ul> 


Content &amp; Objection Intelligence
<ul>
<li>Convert sales feedback and call insights into actionable content and messaging improvements.</li>
<li>Guide the development of enablement assets that proactively address objections and sales bottlenecks.</li>
<li>Own the intent-based content framework, determining which assets to expand, refine, or sunset.</li></ul> 


Pipeline &amp; Performance Analytics
<ul>
<li>Maintain distinct reporting for traffic performance and pipeline/revenue contribution.</li>
<li>Deliver regular insights on what drives lead creation versus deal closure.</li>
<li>Challenge surface-level metrics and shift focus toward revenue-impacting indicators.</li></ul> 


Sales &amp; Cross-Functional Collaboration
<ul>
<li>Work closely with Sales leadership, SDR teams, and Product Marketing stakeholders.</li>
<li>Facilitate regular funnel and performance reviews.</li>
<li>Recommend data-backed adjustments to campaigns, scoring logic, and positioning.</li></ul> 


Marketing Systems Ownership (HubSpot)
<ul>
<li>Own advanced HubSpot configurations, including workflows, attribution models, and lifecycle stages.</li>
<li>Implement automation to improve operational efficiency across marketing and sales.</li>
<li>Ensure the platform remains scalable, reliable, and aligned with evolving business needs.</li></ul> 


Qualifications
<ul>
<li>Bachelor&rsquo;s degree in Marketing, Business, Computer Science, IT, or a related discipline.</li>
<li>Demonstrated experience supporting product-focused or technology-driven marketing initiatives.</li></ul> 


Requirements
<ul>
<li>4&ndash;7+ years of experience in Marketing Operations, Revenue Operations, Growth, or similar roles.</li>
<li>Strong hands-on experience with HubSpot CRM, including advanced automation, attribution, and lifecycle design.</li>
<li>Excellent analytical skills paired with practical business decision-making ability.</li>
<li>Proven ability to work autonomously, take ownership, and think with a revenue-first mindset.</li>
<li>Experience influencing cross-functional teams without formal authority.</li>
<li>Comfort making trade-offs based on impact, urgency, and business priorities.</li>
<li>Data-oriented approach with the ability to contextualize insights for real-world execution.</li>
<li>Track record of aligning marketing execution with sales outcomes and revenue growth.</li></ul> 


Essential Skills

The ideal candidate brings strong commercial awareness and can translate high-level objectives into measurable outcomes. Proficiency in using AI tools&mdash;including consistent use of platforms such as ChatGPT&mdash;to improve efficiency and decision-making is expected. A strong ownership mindset and the ability to drive results with minimal task-level direction are critical to success. 
Why Join Us?
<ul>
<li>Work at the intersection of artificial intelligence, digital transformation, and public safety technology.</li>
<li>Be part of a fast-growing global SaaS organization with strong strategic partnerships, including Microsoft IP Co-Sell.</li>
<li>Collaborate with a motivated, innovative, and internationally distributed team.</li>
<li>Competitive compensation with performance-based incentives.</li>
<li>Opportunity to directly shape go-to-market execution for industry-leading AI-powered products.</li></ul> 


Time zone: Est 9am-6pm

Multiple Locations: Global (Pakistan, USA, Mexico, Colombia, Brazil, Eastern Europe, Latin America, and more)</div>

Senior Product Marketing Analyst

Afiniti

<div><div><div><div>WHO ARE WE?</div>
<div>Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.</div>
<div>Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.</div> 
<div></div>
<div>Our vision</div>
<div>Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.</div> 
<div></div>
<div>Our Ways of Working</div>
<div>At Afiniti, how we work is just as important as what we achieve. Our Ways of Working are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.</div>
<div>Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.</div> 
<div></div>
<div>THE ROLE</div>
<div>Senior Analyst, Database Administration (DBA)</div>
<div>Reporting to: Manager &ndash; Database Administration</div> 
<div></div>
<div>LOCATION</div>
<div>Pakistan</div>
<div>Work Environment: Hybrid</div> 
<div></div>
<div>ABOUT THE ROLE</div>
<div>Afiniti is looking for a Senior Analyst, Database Administration (DBA) who is analytical, detail-oriented, and driven by data accuracy and system reliability. Reporting to the Manager, Database Administration, you will play a key role in maintaining, optimizing, and safeguarding Afiniti&rsquo;s database infrastructure across global environments. This role is critical in ensuring high availability, performance tuning, and seamless integration of data systems that power Afiniti&rsquo;s AI-driven solutions.</div>
<div>Our DBA team collaborates closely with engineering, infrastructure, and data science teams across multiple regions. The environment is fast-paced and collaborative, offering exposure to a range of technologies and complex data challenges while working alongside skilled professionals who will support your technical and professional growth.</div>
<div>What will be your key deliverables</div>
<ul><li>Database Maintenance &ndash; Ensure databases are properly configured, optimized, and backed up to support high availability.</li>
<li>Performance Tuning &ndash; Monitor and improve database performance, identifying and resolving bottlenecks proactively.</li>
<li>Data Security &amp; Compliance &ndash; Implement and maintain security controls to protect sensitive information and ensure compliance with internal policies.</li>
<li>Backup &amp; Recovery &ndash; Manage database backup strategies and perform recovery operations as required.</li>
<li>Collaboration &amp; Support &ndash; Work closely with development and infrastructure teams to support deployments, troubleshoot production issues, and ensure smooth operations.</li></ul> 
<div>
</div><div>Who you are</div>
<div>Experience: 5+ years of experience in database administration or a related field, preferably within a large-scale or global organization.</div>
<div>Education: Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related discipline (certifications in SQL Server, or similar technologies are a plus).</div> 
<div></div>
<div>Skills</div>
<ul><li>Strong knowledge of MySQL, PostgreSQL and/or SQL Server database environments.</li>
<li>Experience with database performance tuning, query optimization, and replication.</li>
<li>Hands-on experience in backup, recovery, and database security management.</li>
<li>Proficiency in automation and scripting (PowerShell, Python, Bash).</li>
<li>Excellent problem-solving, analytical, and troubleshooting skills.</li>
<li>Clear communication and collaboration with cross-functional teams.</li>
<li>Ability to prioritize tasks and deliver results under tight deadlines.</li></ul> 
<div>
</div><div>Behavioral Traits: Analytical, dependable, collaborative, and able to thrive in a fast-paced technical environment.</div> 
<div></div>
<div>Nice to have</div>
<ul><li>Working knowledge of Python for automation and scripting.</li>
<li>Familiarity with Airflow for workflow orchestration and data pipeline management.</li>
<li>Experience with Greenplum or other Massively Parallel Processing (MPP) databases.</li></ul> 
<div>
</div><div>What success looks like</div>
<div>In this role, you will be successful if you:</div>
<ul><li>Maintain consistent database uptime and reliability across environments.</li>
<li>Drive performance improvements through proactive monitoring and tuning.</li>
<li>Collaborate effectively with cross-functional teams to ensure data accuracy, compliance and availability.</li></ul> 
<div>
</div><div>Why should you apply</div>
<ul><li>Opportunity to work with cutting-edge database technologies in a global AI-driven company.</li>
<li>Exposure to complex, high-availability environments supporting enterprise applications.</li>
<li>Growth opportunities through technical learning and mentorship from experienced DBA professionals.</li></ul> 
<div>
</div><div>What will make you stand out in the crowd</div>
<div>You are someone who thrives on solving complex data challenges, brings a proactive approach to system reliability, and takes ownership of critical operations. Your strong technical foundation, collaboration skills, and drive for excellence will make you an invaluable part of the DBA team.</div> 
<div></div>
<div>We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.</div></div></div></div>

Sr Database Administrator

ibex

<div>
 
 
 Ibex
 
 , for one of its global clients, is hiring a
 
 Business Analyst
 
 to join the
 
 EU Data Analytics team
 
 . We are seeking a highly motivated and detail-oriented professional to support the
 
 FP&amp;A function
 
 . This cross-functional role blends
 
 strong analytical
 
 and technical expertise with
 
 sound business acumen
 
 . The ideal candidate will play a key role in enhancing the efficiency and effectiveness of FP&amp;A activities through the use of
 
 modern data tools
 
 and
 
 automation techniques.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Partner with the FP&amp;A team to provide
 
 analytical support
 
 in
 
 monitoring KPI
 
 ,
 
 forecasting metrics,
 
 f
 
 inancial reporting
 
 and
 
 pricing models.
 
 </li>
 <li>
 Translate business questions into analytical problems and deliver data-driven insights that inform financial decision-making.
 </li>
 <li>
 Build and maintain
 
 automated reports
 
 , and
 
 data pipelines
 
 using
 
 SQL
 
 and/or
 
 Python
 
 </li>
 <li>
 Identify opportunities to streamline
 
 reporting processes
 
 and improve data quality through automation
 </li>
 <li>
 Work closely with data engineering and other analytics stakeholders to ensure data integrity and alignment across systems.
 </li>
 <li>
 Assist in the development and maintenance of
 
 financial models
 
 that support
 
 strategic planning
 
 and
 
 performance analysis
 
 </li>
 </ul>
 
 
 
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in finance, Accounting, Economics, Statistics, or a related field.
 </li>
 <li>
 +2 years experience as a
 
 financial analyst or a similar role
 
 </li>
 <li>
 Strong understanding of
 
 accounting principles
 
 and
 
 financial statements
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for
 
 data extraction
 
 ,
 
 transformation
 
 , and analysis.
 </li>
 <li>
 Must possess hands-on experience with
 
 Python.
 
 </li>
 <li>
 Strong problem-solving skills with the
 
 ability to communicate technical findings to non-technical stakeholders.
 
 </li>
 <li>
 Self-starter with a continuous improvement mindset and a passion for using data to drive business value
 </li>
 </ul>
</div>

Business Analyst - Finance

Darosoft

Job SummaryWe are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.Key Responsibilities<ul><li>Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage</li><li>Build and maintain n8n workflows for AI-driven automation</li><li>Integrate AI agents with:</li><li>Internal systems (ERP, CRM, databases)</li><li>Third-party APIs and services</li><li>Develop LLM-powered solutions such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build and consume REST APIs for AI integrations</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document AI workflows, agent logic, and integrations</li></ul>Required Skills &amp; QualificationsExperience<ul><li>Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer</li></ul>Core Technical Skills<ul><li>Strong proficiency in Python</li><li>Experience with NumPy, Pandas, Scikit-learn</li><li>Solid understanding of data handling, statistics, and ML fundamentals</li></ul>AI, LLMs &amp; Agents<ul><li>Hands-on experience building AI agents</li><li>Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with RAG (Retrieval-Augmented Generation) pipelines</li><li>Familiarity with agent frameworks such as:</li><li>LangChain</li><li>LlamaIndex</li><li>or similar tools</li></ul>Automation &amp; Workflows<ul><li>Proven experience working with n8n workflow automation</li><li>Experience building:</li><li>Event-driven workflows</li><li>Webhook-based automations</li><li>Scheduled (cron) workflows</li><li>Ability to orchestrate workflows involving LLMs + APIs + databases</li></ul>APIs &amp; Backend<ul><li>Experience building and consuming REST APIs</li><li>Familiarity with FastAPI or Flask</li><li>Experience integrating AI systems with databases (SQL / NoSQL)</li></ul>Nice to Have (Plus Points)<ul><li>Experience with self-hosted n8n deployments</li><li>Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Experience with Docker and basic cloud deployments</li><li>Familiarity with MLOps concepts</li><li>Experience with Zapier / Make.com in addition to n8n</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical skills</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn new technologies</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

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