data analyst

analyst

senior ai scientist

ai/ml engineer

analyst - ai pod

analyst ai pod

slice

<div>
 
 
 About the Team:
 
 
 
 
 
 
 You&rsquo;ll work with a team that&rsquo;s redefining how India experiences credit, payments, and now &mdash;
 
 AI-driven transformation
 
 .
 
 
 We move fast, think deeply, and build things that matter. If you love combining
 
 tech, analytics, and imagination
 
 to solve problems that impact millions, this is where your work will truly matter.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 At slice, we&rsquo;re building an AI Pod &mdash; a fast-moving, high-ownership team reimagining how analytics, AI, and automation come together to drive business velocity.
 
 
 If you&rsquo;re someone who loves to solve, build, and move fast, this is where you&rsquo;ll do the most meaningful work of your early career.
 
 
 
 
 
 
 What You&rsquo;ll Be Do:
 
 
 
 
 
 
 
 Own the Full Analytics + AI Spectrum
 
 
 <ul>
 <li>
 Think from first principles &mdash; break problems down to their core, blend analytical depth with AI-powered reasoning, and design intelligent solutions that drive measurable outcomes.
 </li>
 </ul>
 
 
 
 
 
 Build AI-Powered Solutions That Drive Real Change
 
 
 <ul>
 <li>
 Design and implement
 
 agentic workflows, AI automations,
 
 and
 
 smart copilots
 
 that reimagine how teams operate.
 </li>
 <li>
 Partner with
 
 Product, Strategy, and Ops
 
 to identify the most meaningful problems and craft scalable, AI-driven solutions that actually move metrics.
 </li>
 <li>
 Prototype and deploy fast &mdash; experiment, fail, learn, and ship &mdash; using tools like
 
 Cursor, Claude, Lovable, n8n, Relevance AI, Dust, ChatGPT, MCPs
 
 , and whatever&rsquo;s next in the AI stack.
 </li>
 <li>
 Spot opportunities where AI can create leverage &mdash; whether it&rsquo;s automating workflows, improving decision-making, or creating entirely new ways of solving problems.
 </li>
 </ul>
 
 
 
 
 
 What You'll Need:
 
 
 
 
 
 <ul>
 <li>
 
 0&ndash;2 years
 
 of experience solving Product, Business, or Ops problems through analytics, automation, or intelligent workflows.
 </li>
 <li>
 
 Proven Prompt Engineering Skills:
 
 You know how to get the best out of AI models &mdash; from system prompts to task chaining and role conditioning.
 </li>
 <li>
 
 Pet Projects Welcome:
 
 Share anything you&rsquo;ve built &mdash; AI agents, personal automations, workflow hacks, or internal copilots. We care about curiosity and craft.
 </li>
 <li>
 
 Fluency in Python &amp; SQL:
 
 You can query, model, and experiment with data without breaking a sweat.
 </li>
 <li>
 
 Problem-Solver at Heart:
 
 You thrive in ambiguity, break complex problems into structured pieces, and build fast, pragmatic solutions.
 </li>
 <li>
 
 Tech-Savvy &amp; Exploratory:
 
 You naturally experiment with new tools and platforms &mdash; learning is your default mode.
 </li>
 <li>
 
 Storytelling Mindset:
 
 You don&rsquo;t just automate; you explain
 
 why it matters
 
 in a way people instantly get.
 </li>
 </ul>
 
 
 
 
 
 Life at slice:
 
 
 
 
 
 
 Life so good, you&rsquo;d think we&rsquo;re kidding:
 
 
 
 
 <ul>
 <li>
 Competitive salaries. Period.
 </li>
 <li>
 An extensive medical insurance that looks out for our employees &amp; their dependants. We&rsquo;ll love you and take care of you, our promise.
 </li>
 <li>
 Flexible working hours. Just don&rsquo;t call us at 3AM, we like our sleep schedule.
 </li>
 <li>
 Tailored vacation &amp; leave policies so that you enjoy every important moment in your life.
 </li>
 <li>
 A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
 </li>
 <li>
 Learning and upskilling opportunities. Seriously, not kidding.
 </li>
 <li>
 Good food, games, and a cool office to make you feel like home. An environment so good, you&rsquo;ll forget the term &ldquo;colleagues can&rsquo;t be your friends&rdquo;.
 </li>
 <li>
 We believe in equality. Period.
 </li>
 </ul>
 
 
 
 
 At slice, we are committed to building a diverse and talented workforce. We never discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by the applicable law.
 
 
 
 
 
 We consider all qualified job-seekers with criminal histories in a manner consistent with the applicable law. Additionally, we are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
 
 
 
 
 
 Come join our crew!
 
 
 
 
 
 
 About us
 
 
 
 
 
 
 slice
 
 
 A new bank for a new India
 
 
 
 
 
 slice&rsquo;s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We&rsquo;ve all felt how slow, confusing, and complicated banking can be. So, we&rsquo;re reimagining it. We&rsquo;re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.
 
 
 
 
 
 Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you&rsquo;ll get to build things you&rsquo;d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
 
 
 
 
 
 We&rsquo;re backed by some of the world&rsquo;s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.
 
</div>

Analyst - AI Pod

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

Turing

<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

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

<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

Instamart

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Landlord Management &amp; Reconciliation:
 </li>
 <li>
 Timely upload of Rent, EB, Diesel, CAM, and Water invoices. Ensure payment completion and collection of NDCs.
 </li>
 <li>
 Diesel Management:
 </li>
 <li>
 Process diesel bills promptly and maintain adequate diesel levels at the site.
 </li>
 <li>
 VPT &amp; Documentation:
 </li>
 <li>
 Keep Vendor Payment Tracker (VPT) updated with accurate entries.
 </li>
 <li>
 Store Visits:
 </li>
 <li>
 Visit all assigned PODs as per schedule. Upload time-stamped photos and walkthrough videos to the relevant trackers.
 </li>
 <li>
 MTN Ticket Resolution:
 </li>
 <li>
 Acknowledge maintenance (MTN) tickets within 30 minutes and ensure closure within defined TAT.
 </li>
 <li>
 Pest Control &amp; Cleanliness:
 </li>
 <li>
 Conduct weekly pest control. Maintain dust-free environments, clean racks, restrooms, and upload compliance photos regularly.
 </li>
 <li>
 Audit Performance:
 </li>
 <li>
 Achieve 100% in QA audits and maintain &gt;95% in compliance audits. Complete all weekly Gemba audits on time.
 </li>
 <li>
 Attendance Monitoring:
 </li>
 <li>
 Upload daily time-stamped photos of Security and Housekeeping attendance for both morning and evening shifts.
 </li>
 <li>
 Vendor Management:
 </li>
 <li>
 Upload monthly vendor invoices. Coordinate effectively with HK, security, garbage, and pest vendors. Ensure SOP adherence by assigned vendors.
 </li>
 <li>
 Garbage &amp; Utility Management:
 </li>
 <li>
 Ensure timely garbage collection and cleanliness of surroundings. Upload all utility and service bill photos with tracker updates.
 </li>
 <li>
 Materials &amp; Delivery Management:
 </li>
 <li>
 Upload signed HK/stationery challans within 24 hours. Ensure material delivery without shortages.
 </li>
 <li>
 Wastage Control &amp; P&amp;L:
 </li>
 <li>
 Maintain stock wastage below 0.02% per POD. Ensure 100% accuracy in monthly reconciliation reports.
 </li>
 <li>
 Stakeholder Engagement:
 </li>
 <li>
 Maintain effective communication with Infra, Finance, and Operations teams. Review feedback monthly.
 </li>
 </ul>
</div>

Senior Executive - Facilities

IQVIA India

<div>
 
 
 Project Role:
 
 Digital Media Data Delivery - Data Analyst
 
 ,
 
 (Healthcare Marketing)
 
 
 
 Work Experience:
 
 2+ years
 
 
 
 Work location
 
 : Bangalore
 
 
 
 Mode of work:
 
 Remote
 
 
 
 Work Timings:
 
 4:30 PM &ndash; 1:30 AM (India Standard Time
 
 
 
 
 
 
 About the Job
 
 
 
 Join IQVIA&rsquo;s Digital Media Data Delivery team as a Data Analyst, Healthcare Marketing and help shape the future of digital healthcare engagement. In this role, you&rsquo;ll be instrumental in building and delivering consumer modeled audiences powered by IQVIA&rsquo;s industry-leading health data and advanced analytics&mdash;enabling precise targeting and impactful marketing campaigns across top advertising platforms.
 
 
 As part of our global team, you&rsquo;ll thrive in a fast-paced, collaborative environment where innovative thinkers work together to deliver solutions that drive customer success. You&rsquo;ll have the opportunity to apply your analytical skills and creativity to develop products and services that empower healthcare marketers to reach, engage, and measure audiences more effectively.
 
 
 If you&rsquo;re passionate about data, digital marketing, and making a difference in healthcare, IQVIA offers a dynamic workplace where your contributions help create a healthier world.
 
 
 
 
 
 
 Summary of Essential Job Functions
 
 
 <ul>
 <li>
 Collaborating with Digital Media Data Delivery, IQVIA Product, Applied AI Science and Data Science teams
 </li>
 <li>
 Maintain and proactively update project tracking tools
 </li>
 <li>
 Execute the consumer modeled audience build process from start to finish, following established workflows and checkpoints
 </li>
 <li>
 Use product tools to generate audience builds, manage file transfers, update documentation, and maintain project trackers daily
 </li>
 <li>
 Prioritize multiple builds and consistently meet deadlines in a fast-paced environment.
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 <li>
 Perform rigorous quality checks and implement quality assurance measures throughout the audience build process.
 </li>
 <li>
 Advanced Excel skills, including pivot tables and VLOOKUP
 </li>
 <li>
 Demonstrate excellent quantitative and analytical abilities to support data-driven decision-making.
 </li>
 <li>
 Demonstrates the ability to rapidly acquire new skills and knowledge, proactively identifying and resolving challenges with effective problem-solving strategies
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 <li>
 Assist in maintaining and updating internal operations documentation and standard operating procedures.
 </li>
 <li>
 Exhibit strong adaptability and independent learning ability while managing multiple priorities with accuracy - responding efficiently to urgent requests, applying critical thinking to ad-hoc needs, working with new tools and platforms, and maintaining a high level of attention to detail to support consistent project delivery.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required
 </li>
 <li>
 2+ years of relevant experience; pharmaceutical or healthcare background strongly preferred
 </li>
 </ul>
 
 
 
 
 
 Relevant Skills
 
 
 <ul>
 <li>
 Exceptionally organized, with extreme attention to detail and excellent communication skills
 </li>
 <li>
 Proven ability to learn quickly and solve problems effectively
 </li>
 <li>
 Advanced Microsoft Excel skills
 </li>
 <li>
 Proven ability to organize and prioritize tasks in a dynamic environment
 </li>
 <li>
 Excellent interpersonal skills and ability to collaborate across teams
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 General knowledge of digital advertising is helpful, but not required
 </li>
 <li>
 Experience with Health Information Management or other healthcare billing/coding (e.g. ICD-10, CPT/HCPCS and NDC coding structures)
 </li>
 <li>
 Familiarity with healthcare/pharma terminology
 </li>
 <li>
 Strong qualitative and quantitative research capabilities
 </li>
 </ul>
 
 
</div>

Digital Media Data Analyst (Healthcare Marketing )

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