data analyst Jobs in Test Jobs In Mangaluru

data analyst

business analyst Jobs in Test Jobs In Mangaluru

business analyst

data scientist Jobs in Test Jobs In Mangaluru

data scientist

senior ai scientist Jobs in Test Jobs In Mangaluru

senior ai scientist

ai/ml engineer Jobs in Test Jobs In Mangaluru

ai/ml engineer

business analyst data ai

Allucent

<div>
 
 The IT Business Analyst will play a key role in advancing Allucent's Data and Development initiatives. This position will focus on gathering, analyzing, and translating business requirements into functional and technical specifications that support data integration, analytics, AI use cases, and enhancements to internally developed applications.
 
 
 
 
 The Business Analyst will collaborate with global business stakeholders, data engineers, developers, and AI specialists to ensure solutions meet business objectives and regulatory expectations. The ideal candidate will have a strong analytical mindset and an interest in how data and artificial intelligence can drive operational insights and efficiency.
 
 
 
 
 
 
 Requirements
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with business stakeholders, developers, and data engineers to elicit, document, and validate detailed business and functional requirements.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Translate business needs into user stories, process flows, and acceptance criteria to guide development and testing.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with data and AI teams to define requirements for data pipelines, model inputs/outputs, and user interfaces that support AI-enabled workflows.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze existing systems and data flows to identify opportunities for automation, predictive analytics, and process optimization using AI solutions.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data mapping, interface requirements, and reporting specifications for analytics and AI-driven insights.
 
 
 
 Project Support
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with project managers to ensure project scope, milestones, and deliverables are clearly defined and aligned with business goals.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in sprint planning, backlog refinement, and system demos to ensure clear communication between business and development teams.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support testing, validation, and user acceptance for system enhancements and new features.
 
 
 
 Documentation &amp; Communication
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain clear and traceable documentation, including business process maps, requirements traceability matrices, and data flow diagrams.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare user guides, training materials, and support documentation for internal users, including those adopting AI-driven tools.
 
 
 
 
 
 Requirements &amp; Analysis
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with business stakeholders, developers, and data engineers to elicit, document, and validate detailed business and functional requirements.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Translate business needs into user stories, process flows, and acceptance criteria to guide development and testing.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with data and AI teams to define requirements for data pipelines, model inputs/outputs, and user interfaces that support AI-enabled workflows.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze existing systems and data flows to identify opportunities for automation, predictive analytics, and process optimization using AI solutions.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data mapping, interface requirements, and reporting specifications for analytics and AI-driven insights.
 
 
 
 
 
 Project Support
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with project managers to ensure project scope, milestones, and deliverables are clearly defined and aligned with business goals.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in sprint planning, backlog refinement, and system demos to ensure clear communication between business and development teams.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support testing, validation, and user acceptance for system enhancements and new features.
 
 
 
 
 
 Documentation &amp; Communication
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain clear and traceable documentation, including business process maps, requirements traceability matrices, and data flow diagrams.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare user guides, training materials, and support documentation for internal users, including those adopting AI-driven tools.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicate effectively across teams, translating complex technical and AI concepts into business-friendly language.
 
 
 
 
 
 Quality &amp; Compliance
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure requirements and solutions comply with applicable GxP, data privacy, and security standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data integrity and governance practices across projects.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute to continuous improvement of business analysis methodologies and documentation standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Review, improve and evaluate IT processes and procedures within the Quality Management System.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute to other areas of business as required.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; No major travel required.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's degree in Information Technology, Computer Science, Business, or a related field.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4-7 years of experience as a Business Analyst in a life sciences, CRO, or technology organization.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience supporting data analytics or AI-related initiatives preferred (e.g., requirements for predictive models, natural language processing, or automation workflows).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong understanding of software development lifecycle (Agile and Waterfall).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exposure to APIs, data pipelines, and reporting/analytics tools is a plus.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Business Analysis certification (e.g., CBAP, CCBA) is a plus.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrates strong analytical and problem-solving abilities, with the capability to translate complex business needs into actionable technical requirements.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicates effectively across technical and business teams, ensuring clarity and alignment throughout project lifecycles.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understands data and AI concepts, including automation, predictive analytics, and how these technologies can enhance business processes.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Produces thorough and accurate documentation, including user stories, process flows, and functional specifications.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Adapts quickly to shifting priorities and works effectively in a fast-paced, global team environment.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintains a strong commitment to data integrity, compliance, and delivering high-quality outcomes that support business objectives.
 
 
 
 
 
 
 Benefits
 
 
 
 
 
 Benefits of working at Allucent include:
 
 
 <ul>
 <li>
 Comprehensive benefits package per location
 </li>
 <li>
 Competitive salaries per location
 </li>
 <li>
 Departmental Study/Training Budget for furthering professional development
 </li>
 <li>
 Flexible Working hours (within reason)
 </li>
 <li>
 Leadership and mentoring opportunities
 </li>
 <li>
 Participation in our enriching Buddy Program as a new or existing employee
 </li>
 <li>
 Internal growth opportunities and career progression
 </li>
 <li>
 Financially rewarding internal employee referral program
 </li>
 <li>
 Access to online soft-skills and technical training via GoodHabitz and internal platforms
 </li>
 <li>
 Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
 </li>
 <li>
 Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees
 </li>
 </ul>
 
 
 
 
 Disclaimers:
 
 
 
 
 
 
 "The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively "Allucent"). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources."
 
 
</div>

Business Analyst - Data & AI

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

Turing

<div>
 
 
 About the Role:
 
 
 
 We&rsquo;re hiring a
 
 Business Analyst
 
 to manage and mentor a team of analysts creating business-focused content to improve AI models. You&rsquo;ll combine leadership, quality oversight, and subject expertise in MBA-relevant domains to ensure outputs are accurate, logically sound, and aligned with project goals. This role is ideal for someone who enjoys people management, operational excellence, and shaping high-quality analytical content.
 
 No prior AI experience is required for this role.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Lead and mentor a team of Business Analysts/Content Specialists.
 </li>
 <li>
 Allocate tasks, oversee workflows, and ensure timely, high-quality delivery.
 </li>
 <li>
 Conduct QA reviews, refine processes, and improve team efficiency.
 </li>
 <li>
 Provide performance feedback, training, and career development.
 </li>
 <li>
 Act as the primary stakeholder contact, sharing regular project updates.
 </li>
 <li>
 Guide creation of case studies, scenarios, and structured business content (finance, policy, e-commerce, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 2+ years of team management experience.
 </li>
 <li>
 3&ndash;6 years in business analysis, consulting, content, or domain-focused projects.
 </li>
 <li>
 Strong analytical, logical, and communication skills.
 </li>
 <li>
 Proficiency in structured file formats (TSV, JSON, HTML, XML, Markdown).
 </li>
 <li>
 
 No prior AI experience is required
 
 </li>
 <li>
 Bonus: prior work on LLM performance data, case study writing, or academic/research content.
 </li>
 <li>
 Full-time commitment (40 hrs/week); immediate joiners preferred.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
 
 
 
 
 
 After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
 
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Business Analyst

PwC Acceleration Center India

<div>
 At PwC, our people in customer consulting specialise in providing consulting services focused on customer-related strategies and initiatives. These individuals analyse client needs, develop customer-centric solutions, and offer guidance and support to help clients enhance their customer experience and drive business growth. In customer marketing at PwC, you will specialise in providing consulting services focused on customer-centric marketing strategies. You will analyse customer behaviour, develop targeted marketing campaigns, and offer guidance and support to help clients optimise their marketing efforts, improve customer engagement, and drive revenue growth.
 
 
 Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
 
 
 
 Skills
 
 
 
 Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
 
 
 <ul>
 <li>
 Apply a learning mindset and take ownership for your own development.
 </li>
 <li>
 Appreciate diverse perspectives, needs, and feelings of others.
 </li>
 <li>
 Adopt habits to sustain high performance and develop your potential.
 </li>
 <li>
 Actively listen, ask questions to check understanding, and clearly express ideas.
 </li>
 <li>
 Seek, reflect, act on, and give feedback.
 </li>
 <li>
 Gather information from a range of sources to analyse facts and discern patterns.
 </li>
 <li>
 Commit to understanding how the business works and building commercial awareness.
 </li>
 <li>
 Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
 
 
 </li>
 </ul>
 
 PwC US ADVISORY &ndash; CSX &ndash; Sales, Service &amp; Marketing
 
 
 
 The Commercial &amp; Service Excellence platform helps clients transform how they engage, sell to, and serve their customers through strategy, operations, and technology. From optimizing go-to-market strategies to delivering and managing Salesforce and Dynamics platforms, the offering enables end-to-end commercial transformation. Whether modernizing sales, marketing, e-commerce or customer service functions, Commercial and Service Excellence equips teams to create connected customer experiences, drive revenue growth, and sustain performance through managed services.
 
 
 Our Sales, Service &amp; Marketing practice team, which is part of CSX, focuses on modernizing commercial functions across marketing, sales, and service to drive profitable growth and customer engagement. Combines strategy, operations, and technology&mdash;including Dynamics, enabling apps, and contact center platforms&mdash;to transform how clients activate and scale in the market.
 
 
 
 OFFERING OVERVIEW: MARKETING OPERATIONS
 
 
 
 Marketing Operations provides process and execution support around core marketing operations, including media management, advertising, 3rd party spend, marketing technology, demand generation, market research, consumer insights, product marketing. Supports process excellence and design alongside marketing &amp; commerce technology implementations. Sub-offerings include Marketing Operations - Salesforce, Marketing Operations - Other Technologies (e.g., Adobe).
 
 
 
 Knowledge Preferred
 
 
 
 POSITION REQUIREMENTS &ndash;
 
 Experienced Associate / Senior Associate
 
 
 
 
 Role
 
 
 
 We are looking for highly motivated and skilled business-first, tech-native professionals to join our Marketing Operations excellence consulting team. This is a hands-on consulting role suited for individuals who can bring strategic thought leadership across people, process &amp; technology initiatives in a fast-paced cross-functional global environment. Ideal candidates will have:
 
 
 <ul>
 <li>
 Relevant experience in Marketing strategy, Campaign-to-Lead Process design, MarTech solution architecture and implementation of marketing technology solutions as a business analyst or program manager, preferably in a B2B environment.
 </li>
 <li>
 Understanding of marketing operations frameworks, customer journey mapping, experience design, governance structures, and performance metrics.
 </li>
 <li>
 Familiarity with marketing and advertising processes &amp; systems, including digital campaign management, CRM, lead nurturing, and funnel optimization.
 </li>
 <li>
 Hands - on experience as a Business Analyst/ Functional lead in one or more Marketing Operations priority areas:
 </li>
 <li>
 Marketing automation Process &amp; use of tools such as Salesforce Marketing Cloud, Marketo Engage, Adobe Journey Optimizer, HubSpot, Oracle Eloqua or similar platforms to drive personalized marketing communications across multiple channels and surfaces.
 </li>
 <li>
 Customer Data Design and use of CDP platforms such as Salesforce Data Cloud, Adobe Experience Platform / Real-time CDP, Treasure data or similar platforms to drive effective audience segmentation and personalization.
 </li>
 <li>
 Media Planning, buying and mix-modelling to drive effective growth through performance marketing.
 </li>
 <li>
 Digital Commerce process &amp; use of tools such as Adobe Commerce, SAP Hybris, Salesforce B2B commerce cloud to drive low-touch/ no-touch revenue stream.
 </li>
 <li>
 Understanding of integration points between MarTech platforms, CRM systems, eCommerce portals and analytics tools.
 </li>
 <li>
 Demonstrated history of leveraging emerging marketing trends, tools and best practices including AI use-cases to drive innovation.
 </li>
 <li>
 Strong critical thinking and problem-solving abilities.
 </li>
 <li>
 Clear and impactful verbal and written communication and presentation skills engaging both technical and non-technical stakeholders.
 </li>
 <li>
 Ability to leverage data analysis and analytics to inform decisions and optimize outcomes.
 </li>
 <li>
 Exposure to clients/ stakeholders in a global environment.
 
 
 </li>
 </ul>
 
 Skills Preferred
 
 
 
 Candidates should be able to demonstrate extensive customer transformation consulting abilities within a project team that includes the following:
 
 
 
 Strategy &amp; Design Engagements
 
 
 
 <ul>
 <li>
 Work with high-profile onshore client stakeholders to help drive excellence across Marketing Operations function.
 </li>
 <li>
 Conduct People-Process-Technology current state assessment and design future state Marketing Operating model and capability roadmap.
 </li>
 <li>
 Develop and optimize end-to-end marketing and advertising process workflows spanning digital campaigns, demand generation, CRM integration, lead management, sales funnel enhancement, data platforms optimization and personalization.
 </li>
 <li>
 Experience with GenAI tools to assist in creating campaign briefs, email copy, social media posts, and dynamic ad variants at scale.
 </li>
 <li>
 Leverage Marketing Analytics tools to optimize third-party marketing spend, media-mix and advertising strategies through data-driven insights.
 </li>
 <li>
 Create documentation, playbooks, and reusable frameworks to promote process consistency and scalability.
 </li>
 <li>
 Work with marketing and sales teams to align on KPIs and reporting standards.
 </li>
 <li>
 Support the planning and delivery of market research and consumer insight initiatives.
 
 
 </li>
 </ul>
 
 Implementation &amp; Optimization Engagements
 
 
 
 <ul>
 <li>
 Play the role of Business Analyst/ Project Manager for marketing technologies implementation projects including Salesforce Marketing Cloud &amp; Data Cloud, Adobe Experience Cloud, Google Analytics, and other leading tools.
 </li>
 <li>
 Utilize automation platforms to streamline campaign execution, audience targeting, and performance tracking.
 </li>
 <li>
 Support initiatives aimed at optimizing channel sales processes and ensuring cross-channel campaign alignment.
 </li>
 <li>
 Ability to use AI tools (e.g., Power BI Copilot, ChatGPT Advanced Analysis, Agentforce) to automate and accelerate insight extraction from campaign performance data, derive insights, and recommend improvements.
 </li>
 <li>
 Ensure data integrity and governance across platforms used for campaign execution and measurement.
 
 
 </li>
 </ul>
 
 Change Management And Other Responsibilities
 
 
 
 <ul>
 <li>
 Contribute to the delivery of marketing transformation engagements, including implementation roadmaps and change management.
 </li>
 <li>
 Participate in business development activities such as proposal development and solution design.
 
 
 </li>
 </ul>
 
 Educational Background
 
 
 
 
 MBA in Sales / Marketing / Strategy/ Analytics from a premier B-School
 
 
 
 
 Additional Information
 
 
 
 <ul>
 <li>
 Travel Requirements: Travel to client locations may be required as per project requirements.
 </li>
 <li>
 Experience: 2-5 years (Experience Associate) / 5-8 years (Senior Associate) of prior relevant work experience in a Marketing Operations or Marketing Analytics consulting role in management consulting organization or similar multinational environment.
 </li>
 </ul>
</div>

Associate- Marketing Operations

<div>
 
 
 About the Role:
 
 
 
 Join us as an Research Analyst and help shape the future of large language models (like GPT). You&rsquo;ll work on fascinating analytical questions, research real-world scenarios, and create structured content that improves how AI understands and responds. No AI experience is required&mdash;just strong English skills, sharp reasoning, and curiosity.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Read, analyze, and break down large content into smaller logical blocks.
 </li>
 <li>
 Validate claims and conduct online research to ensure accuracy.
 </li>
 <li>
 Create puzzles, scenarios, and tricky questions to train AI models.
 </li>
 <li>
 Provide clear, structured feedback to fine-tune responses
 </li>
 <li>
 Collaborate with global teams in a fully remote setup.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 Excellent English comprehension and writing skills.
 </li>
 <li>
 Strong analytical and creative problem-solving ability.
 </li>
 <li>
 Detail-oriented with good research and feedback skills.
 </li>
 <li>
 No AI experience required
 </li>
 <li>
 Bachelor&rsquo;s in Engineering, Literature, Journalism, Arts, Statistics&mdash;or relevant experience.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Learn how advanced AI systems are trained.
 </li>
 <li>
 Be part of cutting-edge projects with top LLM companies.
 </li>
 <li>
 Potential for contract extension.
 </li>
 <li>
 Freelance perks: flexibility, global collaboration, and future-proof skills.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
 
 
 
 
 
 After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
 
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Research Analyst

Lowe's India

<div>
 
 
 About Lowe's
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 
 
 
 
 About the Team
 
 
 
 The Digital Commerce team at Lowe&rsquo;s India is an extension to the core Digital Commerce function at Lowes&rsquo; Headquarters in Mooresville. The team in India focuses on multiple areas such as Digital Category Experience, Digital Commerce Support, Brand Advocates, Marketplace support, Dropship modernization, Customer Engagement, Category performance analytics, Site Operations, SEO and Omnichannel Product Content. This team partners closely with the team in the US to optimize and grow Lowe&rsquo;s Digital Commerce business.
 
 
 
 
 
 
 Job Summary
 
 
 
 The Enterprise SEO Team ensures that Lowe&rsquo;s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, technical elements, and metadata while conducting ongoing competitive analysis. Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO team ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.
 
 
 
 
 
 As an Analyst, you will serve as the primary data and analytics partner for the SEO team. The role requires strong focus on data analysis, performance tracking and measurement to uncover actionable insights and growth opportunities. The person will work in a fast-paced environment, digging deep into performance drivers and translating data into practical recommendations that drive key SEO and business metrics.
 
 
 
 
 
 
 Core Responsibilities:
 
 
 <ul>
 <li>
 Analytics &amp; Reporting: Responsible for hands-on work across all stages of data-driven solutions &ndash; from data extraction from various sources, through data wrangling and aggregation, to building dashboards, reports, and insights that support business decision-making.
 </li>
 <li>
 Utilize tools like SQL, Power BI/Looker, Python, and enterprise SEO platforms to extract, process, and analyse large datasets and build scalable reporting structures.
 </li>
 <li>
 Use data-driven analysis of audience behavior, traffic sources, landing page performance, and keyword trends to identify and prioritize optimization opportunities.
 </li>
 <li>
 Development and maintenance of SEO dashboards and visualizations that enable timely, strategic decisions and stakeholder visibility.
 </li>
 <li>
 Perform deep-dive analyses to answer critical business and leadership questions, providing clear, timely insights and evidence-backed recommendations.
 </li>
 <li>
 Exposure to data science concepts (e.g., predictive modelling, machine learning, experimentation) with an interest in applying them to drive deeper insights and smarter business decisions.
 </li>
 <li>
 Leverage a strong understanding of AI and LLM capabilities to integrate them into everyday analytics work.
 </li>
 <li>
 Collaborate with cross-functional teams (Business, Tech, Content, Product) as an analytics partner, ensuring SEO and other digital initiatives are guided by robust measurement frameworks and clear KPIs.
 </li>
 <li>
 Present insights and recommendations through structured storytelling and performance summaries with internal stakeholders as well as leadership in a clear, business-friendly manner.
 </li>
 </ul>
 
 
 
 
 
 Years of Experience:
 
 
 <ul>
 <li>
 2-4 years of relevant experience in an analytics-focused role in a Retail/E-commerce or agency environment.
 </li>
 <li>
 Background in SEO or digital/marketing/product analytics role is preferred.
 </li>
 <li>
 Experience in working with US-based companies or stakeholders/clients (preferred).
 </li>
 </ul>
 
 
 
 
 
 Primary Skills (must have)
 
 
 <ul>
 <li>
 Proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Experience with data visualization and BI tools, especially Power BI and Looker Studio.
 </li>
 <li>
 Working knowledge of Python for data manipulation and analysis.
 </li>
 <li>
 Proficiency with web analytics and measurement tools such as Adobe Analytics or Google Analytics.
 </li>
 <li>
 Analytical mindset and ability to translate data into strategic action.
 </li>
 <li>
 Experience with workflow/project management tools (Workfront, Jira, etc.).
 </li>
 <li>
 Understanding of Generative AI tools and how to leverage them for SEO.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-impact projects across teams.
 </li>
 </ul>
 
 
 
 
 
 Secondary Skills (desired)
 
 
 <ul>
 <li>
 Familiarity with SEO platforms (Google Search Console, Botify, SEMrush).
 </li>
 <li>
 Theoretical knowledge/exposure to modern data pipelines and analytics stack (e.g., scheduled queries, Airflow, Google BigQuery, etc.)
 </li>
 <li>
 Hands-on experience in third-party/publisher tools for measurement.
 </li>
 </ul>
 
 
</div>

Analyst – SEO Analytics & Insights

<div>
 
 
 About Lowe's
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 
 
 
 
 About the Team
 
 
 
 The Digital Commerce team at Lowe&rsquo;s India is an extension to the core Digital Commerce function at Lowes&rsquo; Headquarters in Mooresville. The team in India focuses on multiple areas such as Digital Category Experience, Digital Commerce Support, Brand Advocates, Marketplace support, Dropship modernization, Customer Engagement, Category performance analytics, Site Operations, SEO and Omnichannel Product Content. This team partners closely with the team in the US to optimize and grow Lowe&rsquo;s Digital Commerce business.
 
 
 
 
 
 
 Job Summary
 
 
 
 The Enterprise SEO Team ensures that Lowe&rsquo;s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, technical elements, and metadata while conducting ongoing competitive analysis.
 
 
 Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO team ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.
 
 
 
 
 
 As a Senior Analyst, you will serve as the primary data and analytics partner for the SEO team. The role requires strong focus on data analysis, performance tracking and measurement to uncover actionable insights and growth opportunities. The person will work in a fast-paced environment, digging deep into performance drivers and translating data into practical recommendations that drive key SEO and business metrics.
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Analytics &amp; Reporting: Responsible for hands-on work across all stages of data-driven solutions &ndash; from data extraction from various sources, through data wrangling and aggregation, to building dashboards, reports, and insights that support business decision-making.
 </li>
 <li>
 Utilize tools like SQL, Power BI/Looker, Python, and enterprise SEO platforms to extract, process, and analyse large datasets and build scalable reporting structures.
 </li>
 <li>
 Use data-driven analysis of audience behavior, traffic sources, landing page performance, and keyword trends to identify and prioritize optimization opportunities.
 </li>
 <li>
 Development and maintenance of SEO dashboards and visualizations that enable timely, strategic decisions and stakeholder visibility.
 </li>
 <li>
 Perform deep-dive analyses to answer critical business and leadership questions, providing clear, timely insights and evidence-backed recommendations.
 </li>
 <li>
 Exposure to data science concepts (e.g., predictive modelling, machine learning, experimentation) with an interest in applying them to drive deeper insights and smarter business decisions.
 </li>
 <li>
 Analytics innovation: Proactively identify new analysis use cases and opportunities to improve efficiency (e.g., automation, advanced modelling, forecasting) that enable deeper, repeatable insight generation.
 </li>
 <li>
 Leverage a strong understanding of AI and LLM capabilities to integrate them into everyday analytics work.
 </li>
 <li>
 Collaborate with cross-functional teams (Business, Tech, Content, Product) as an analytics partner, ensuring SEO and other digital initiatives are guided by robust measurement frameworks and clear KPIs.
 </li>
 <li>
 Present insights and recommendations through structured storytelling and performance summaries with internal stakeholders as well as leadership in a clear, business-friendly manner.
 </li>
 </ul>
 
 
 
 
 
 Years of Experience:
 
 
 <ul>
 <li>
 4-7 years of relevant experience in an analytics-focused role in a Retail/E-commerce or agency environment.
 </li>
 <li>
 Background in SEO or digital/marketing/product analytics role is preferred.
 </li>
 <li>
 Experience in working with US-based companies or stakeholders/clients (preferred).
 </li>
 </ul>
 
 
 
 
 
 Primary Skills (must have)
 
 
 <ul>
 <li>
 Strong proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Practical experience with data visualization and BI tools, especially Power BI and Looker Studio.
 </li>
 <li>
 Working knowledge of Python for data manipulation and analysis.
 </li>
 <li>
 Proficiency with web analytics and measurement tools such as Adobe Analytics or Google Analytics.
 </li>
 <li>
 Strong analytical mindset and ability to translate data into strategic action.
 </li>
 <li>
 Experience with workflow/project management tools (Workfront, Jira, etc.).
 </li>
 <li>
 Understanding of Generative AI tools and how to leverage them for SEO.
 </li>
 <li>
 Proven ability to manage multiple priorities and deliver high-impact projects across teams.
 </li>
 </ul>
 
 
 
 
 
 Secondary Skills (desired)
 
 
 <ul>
 <li>
 Familiarity with SEO platforms (Google Search Console, Botify, SEMrush).
 </li>
 <li>
 Interest/exposure to advanced analytics techniques such as time-series forecasting, regression modelling, etc.
 </li>
 <li>
 Exposure to modern data pipelines and analytics stack (e.g., scheduled queries, Airflow, Google BigQuery, etc.)
 </li>
 <li>
 Hands-on experience in third-party/publisher tools for measurement.
 </li>
 </ul>
 
 
</div>

Senior SEO Analyst

Explore 554+ Business analyst data ai in Test Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.