Search Quality Analyst Job at Perplexity (Belgrade)

Product Data Scientist, Search Quality

Perplexity is looking for an experienced Product Data Scientist to accelerate th...

Location

Belgrade, London, Berlin

Salary:

Not provided

Perplexity

Expiration Date

Until further notice

Requirements

4+ years of experience working as a data analyst or in a related role
Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
Strong Python skills (expected to write production-grade code)
Proficiency with SQL
Experience with Business Intelligence (BI) tools
Deep knowledge of statistics

Job Responsibility

Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback

Fulltime

Quality Assurance Analyst

We are seeking a highly organized, self-motivated QA Engineer to join our team. ...

Location

India

Salary:

Not provided

RemotivateJobs

Expiration Date

Until further notice

Requirements

At least two (2) years of experience in a professional quality control environment or comparable experience
Knowledge of Search Engine Optimization (SEO)
Strong editorial judgment and confidence to consult on issues
Experience with content management systems
WordPress is a plus
Familiarity with QA Automation tools and testing platforms, such as Selenium, is a plus
Excellent analytical and problem-solving skills
Strong attention to detail and ability to prioritize issues across multiple projects
Proficiency in English
Bachelor’s degree in Computer Engineering or related field and/or equivalent experience

Job Responsibility

Actively participate in identifying and implementing solutions for common errors
Review all work completed prior to client delivery
Collaborate with the manager to create effective standard operating procedures and training materials to support SEO efforts
Work within HD’s quality control checker
Gather and monitor performance metrics for quality control measures
Contribute to training efforts and assist in developing relevant content
Create and utilize detailed QA Checklists and provide detailed feedback
Create and run reports on quality metrics
Analyze bugs and errors found during system tests including the HD QA system check
Maintain updated knowledge of industry trends and advancements

Fulltime

Analytics Engineer

We are seeking an experienced and versatile Analytics Engineer to join our dynam...

Location

Canada

Salary:

81990.00 - 91100.00 CAD / Year

Tucows

Expiration Date

Until further notice

Requirements

2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics
Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets
Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models
Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions)
Experience with Snowflake's Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred
Strong skills in Looker data visualization and LookML (including familiarity with Looker's conversational AI and data agent capabilities) or similar BI tools
Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus
Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows
Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks
Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing

Job Responsibility

Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform
Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights
Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making
Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker's conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries
Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams
Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling)
Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences
Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake's latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices

What we offer

fair compensation
generous benefits

Fulltime

SEO Manager

Appian is looking for an SEO Manager to lead our organic visibility strategy bey...

Location

United States , McLean

Salary:

Not provided

Appian Corporation

Expiration Date

Until further notice

Requirements

5+ years of experience in SEO, Digital PR, organic growth, or digital marketing, preferably within a B2B technology or SaaS environment
Proven experience developing organic strategies across both owned and third-party digital channels
Strong understanding of modern SEO principles, semantic search, schema markup, contextual citations, and AI-driven search behavior
Familiarity with Generative Engine Optimization and Answer Engine Optimization concepts, including how LLMs and AI search engines aggregate third-party data and citations
Hands-on experience optimizing non-traditional search environments such as YouTube, Reddit, owned communities, Quora, B2B directories, analyst platforms, and digital publication networks
Strong analytical skills with experience using SEO, visibility, analytics, and reporting tools to measure impact and guide strategy
Excellent communication and collaboration skills, with the ability to build consensus across PR, brand, partner marketing, content, web, and demand generation teams
Highly curious, proactive, and comfortable operating in a rapidly evolving search and digital discovery landscape
Bachelor's degree in Marketing, Communications, Information Technology, or a related field

Job Responsibility

Develop and execute a comprehensive organic discovery strategy optimized for AI search engines, LLMs, answer engines, and traditional search engines
Strengthen Appian’s off-site brand authority through contextual citations, high-quality mentions, backlinks, and strategic third-party visibility
Monitor and optimize Appian’s brand presence across partner networks, B2B directories, community platforms, and other high-value third-party ecosystems
Stay ahead of emerging search trends, algorithm changes, AI search behavior, and generative discovery developments to continuously evolve Appian’s organic visibility strategy
Partner with Strategic Communications and Public Relations teams to maximize the search value of editorials, press releases, executive thought leadership, and earned media
Support backlink acquisition, brand citation quality, and referral conversion opportunities across external publications and market reports
Monitor external content to ensure Appian’s brand references are accurate, optimized, and discoverable by search engines and AI-driven platforms
Identify high-authority third-party websites, digital publications, and executive profiling opportunities that support Appian’s organic discovery goals
Lead the organic search strategy for YouTube, including video optimization, metadata, descriptions, playlists, and channel architecture
Improve Appian’s visibility and authority across relevant communities and forums, including Appian Community, Reddit, Quora, and other buyer research environments

What we offer

Training and Development
Growth Opportunities
Tuition reimbursement
Community
Health coverage
Employee Assistance Program (EAP) with free mental health support
Life and disability insurance
Employee Stock Purchase Program (ESPP)
Retirement/pension plan
Wellness dollars

Fulltime

Sales Ops Analyst

Executes operational activities related to quote, price, configuration, deal reg...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

High school or equivalent secondary education certification required
Bachelor's degree preferred
Typically 4 - 6 years experience
Accountability
Active Learning
Active Listening
Bias
Business
Coaching
Creativity

Job Responsibility

Provides overall support for sales processing activities for an assigned or multiple business areas or groups
Demonstrates comprehensive knowledge and mastery in multiple sales processing areas, including: pricing and creating quotes for moderately- to highly-complex deals
registering information and producing documentation
order execution, billing and invoice production
configuration of order systems according to process standards and with occasional customization
Reviews and provides oversight of all sales processing documentation and systems, including data entry and completion
works with stakeholders to identify areas for process improvement and propose changes to increase quality awareness and culture in the organization
Develops customized data collection forms, methods and reports in response to business requests and in accordance with sales processing systems and standards
Provides guidance to less-experienced staff members
High-level administrative and overall documentation and information management skills

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

New

Senior Data Modeler

Location

India , Gurgaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

Fulltime

New

Senior Data Engineer

We are looking for an experienced Senior Data Modeler with 8+ years of experienc...

Location

India , Gurugaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

Fulltime

New

Senior Data Modeler

We are currently seeking a Data Modeller to join our team in Gurugaon, Haryāna (...

Location

India , Gurugaon

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of experience in data modeling, data architecture, or related data design roles
Strong experience with financial data structures
Strong understanding of fund, LP, and GP data structures
Hands-on experience in entity mapping across systems and domains
Expertise in document metadata modeling
Strong experience in schema design for both SQL and NoSQL databases
Deep understanding of conceptual, logical, and physical data modeling techniques
Ability to define and document entities, attributes, relationships, keys, and constraints
Experience working with structured, semi-structured, and metadata-driven datasets
Knowledge of data quality, data governance, and metadata management principles

Job Responsibility

Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
Perform entity mapping across multiple source systems, business domains, and target platforms
Design and manage document metadata models to support search, classification, governance, and retrieval
Develop schema designs for both SQL and NoSQL databases
Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
Define data relationships, hierarchies, classifications, and business rules across structured and semi-structured datasets
Ensure consistency, standardization, and quality across enterprise data models
Support integration of data models across operational systems, reporting platforms, and downstream applications
Participate in data governance, metadata management, and master/reference data initiatives

Fulltime

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Search Quality Analyst

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