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content analyst

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 Content Analyst is responsible for the maintenance of database administration and sourcing of the Financial Markets exchange and supplied data for Fixed Income data components. Responsible for ensuring that relevant data is maintained and delivered in an accurate and timely manner and works on assigned data projects.
 
 
 Fixed Income Reference team is responsible for collection, maintenance, analysis and dissemination of high-quality reference and pricing content for Fixed Income, Foreign Exchange and Money Market clients using Eikon, DataScope and other products. The profile pertains to project deliveries and working on pivotal initiatives to either onboard content or migrate existing content. The FI Reference group covers vast asset classes within Fixed Income, - International Bond market consisting of non-securitized Eurobonds and Global USD debt. and Money Market instruments including Government &amp; Corp Bonds, - Domestic markets for non-securitized Fixed Income securities in North America, Great Britain &amp; Ireland. The Service team will handle queries that are posted for FI Reference/CMO and Corporate Actions Content.
 
 
 Purpose of this role is to use domain expertise, skills and specific knowledge within the FI Reference content to provide explanation, guidance and make necessary corrections/improvements in the content to support client queries/concerns. It is a role which requires knowledge of CMO Reference (Terms and condition) content and F&amp;R (Refinitiv) products. The incumbent will be responsible to analyze client queries, share results and suggest improvement areas and play active role in reducing data corrected cases and maintain overall customer experience. Active and successful collaboration with various internal teams from business representatives to development teams is central to the role. This role will suit candidates who are technically minded and determined, with a thirst for discovering new areas and applying technical and content knowledge to new data. The successful candidate is expected to work on new data implementation with guidance.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Reciprocate the queries received through chat room, service cloud and emails
 </li>
 <li>
 Conduct detailed investigation and respond if it is a search and explanation queries and make basic corrections in case of DC cases which require short time to fix.
 </li>
 <li>
 Liaise with Production teams to get queries resolved.
 </li>
 <li>
 Gathering, analyzing and applying information to existing databases; supporting the development of new databases
 </li>
 <li>
 Supporting the team in building stronger process and systems knowledge.
 </li>
 <li>
 Ensures effective communication of information relevant to own area of responsibility re: changes, developments, news.
 </li>
 <li>
 Maintains up to date data set expertise &amp; works to develop further content &amp; technical knowledge.
 </li>
 <li>
 Have a thorough understanding of C2C standards and conduct audits from time to time and uphold those standards with the team.
 </li>
 <li>
 Liaise with peers on various queries with varying degree of complexity and help them resolve it.
 </li>
 <li>
 Ensures the quality and time-efficient production of financial information to F&amp;R products.
 </li>
 <li>
 Responds to data queries from both internal and external clients and provides support to stakeholders.
 </li>
 <li>
 Facilitate problem solving on data and product issues, including database infrastructure and maintenance procedures knowing who to involve and when.
 </li>
 <li>
 Works with and involves multi-functional teams to provide Root Cause Analysis to identify solutions in problem areas.
 </li>
 <li>
 Identifies potential data improvements and consults with content Specialist for possible implementation.
 </li>
 <li>
 Effectively maintains and manages relationships with internal and external customers.
 </li>
 <li>
 Monitor various reports on service cloud to avoid potential ERT and timeliness breaches.
 </li>
 <li>
 </li>
 <li>
 Work with and involve multi-functional teams to expedite client queries that are taking time to resolve
 </li>
 <li>
 Train existing members of staff to reduce dependency on production teams for some of the repeated queries
 </li>
 <li>
 Contribute to RCAs to be provided to the quality team
 </li>
 <li>
 Manage and take ownership of the resolution process for all customer related Escalations.
 </li>
 <li>
 Research new and review existing sources to ensure that quality, timeliness and completeness scores are improved.
 
 
 </li>
 </ul>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Content Analyst

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 Fundamentals is one of the key verticals within Company Data which Caters to clients engaged in equity research. The vertical is basically responsible for providing historical financial information on companies across the globe operating in multiple business segments. Financial information would mean making financial statements available as reported by the Companies on the products. This would require sourcing and updating Balance Sheet / Income Statement and Cash Flow Statements in the database which would eventually flow on to the products subscribed to by the clients. There would be key adjustments required completely be governed by internal policies of LSEGs products &amp; services.
 
 
 The entire content collection would need to be performed within the set timelines and with encouraged standards of accuracy.
 
 
 To enable LSEG Data to service its clients by the operational management of resources, in order to deliver agreed services to specification, by running the operation efficiently and by being able to absorb and lead change at a rate consistent with overall business needs. Staff motivation, development and allocation will be ongoing challenges. Ensures that operational policy is set and followed by responsible team with the objective of producing the highest level of quality with the fastest time to market.
 
 
 
 Major Responsibilities / Accountabilities
 
 
 
 <ul>
 <li>
 Process and maintain data accurately and in a timely manner onto databases using the database and financial knowledge.
 </li>
 <li>
 Ensure data accuracy, timeliness and completeness are maintained as per company standards
 </li>
 <li>
 Developing expertise in database and financial knowledge through continuous learning and development. Build up knowledge of financial regulations and market practices/conventions in relevant markets.
 </li>
 <li>
 Enhance usage of available tools/support to best of advantage to maintain/improve content quality during daily operations
 </li>
 <li>
 Adhere to dynamic process/MoW changes, data operations standards and current data policies &amp; procedures.
 </li>
 <li>
 Responsible for delivering high productivity and quality data as per expected performance standards
 </li>
 <li>
 Proactively identify, escalate and resolve data problems
 </li>
 <li>
 Communicate &amp; liaise with internal and external departments for resolution of data queries as per established process
 </li>
 <li>
 Test new database/application releases where appropriate, providing expert user feedback.
 
 
 </li>
 </ul>
 Technical /Professional Skills
 
 
 <ul>
 <li>
 Should have a good understanding of basic accounting concepts
 </li>
 <li>
 Sound knowledge of financial management concepts
 </li>
 <li>
 Should have awareness about the financial statements. Should know what these statements mean, what all components do they have etc
 </li>
 <li>
 Should be proficient in using MS-Excel
 </li>
 <li>
 Should have good keyboard skills
 
 
 </li>
 </ul>
 
 Soft Skills And Other Competencies
 
 
 
 <ul>
 <li>
 Should be a very quick learner and should display a high level of agility.
 </li>
 <li>
 Should have good interpersonal skills &ndash; written and verbal.
 </li>
 <li>
 Should be able to work under pressure and flexible to work extended hours depending upon business requirements
 </li>
 <li>
 Should be flexible enough to work in different shifts at different points in time and this would include night shifts
 
 
 </li>
 </ul>
 Certifications / Education
 
 
 <ul>
 <li>
 Any Bachelor's or Masters&rsquo; degree with basic accounts and financial knowledge
 
 
 </li>
 </ul>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Associate Content Analyst

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

Infosys

<div>
 
 
 Job Profile: Marketing Analyst
 
 
 
 
 
 
 
 Location: Bangalore &ndash; Ecity Campus
 
 
 
 
 
 
 The Marketing Analyst will assist in developing, implementing, and analyzing marketing strategies to drive learner engagement which includes, initiation, consumption and completion of learning content / courses for Infosys Springboard. This role requires strong analytical abilities, creativity, and a keen sense of edtech market trends to ensure the offerings reach their intended audience effectively. This role collaborates with cross-functional teams and assists in managing campaigns, budgets, and vendor relationships to achieve the ESG objectives of Infosys Springboard.
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 &middot; Assist in planning and executing marketing campaigns (digital, print, events, etc.).
 
 
 &middot; Conduct market research and analyze trends to identify opportunities and threats.
 
 
 &middot; Coordinate with creative teams, agencies, and vendors to deliver marketing materials on schedule.
 
 
 &middot; Monitor campaign performance and analyze reports
 
 
 &middot; Support the development of marketing collateral and presentations.
 
 
 &middot; Participate in organizing promotional events and product launches.
 
 
 &middot; Assist with communications and audience engagement initiatives.
 
 
 &middot; Ensure brand consistency across all marketing channels and materials.
 
 
 
 
 
 
 Essential Skills and Qualifications:
 
 
 
 &middot; Marketing Knowledge: Understanding of marketing principles, strategies, and tactics.
 
 
 &middot; Communication Skills: Excellent verbal and written communication abilities to convey ideas clearly.
 
 
 &middot; Analytical Thinking: Strong ability to analyze data, interpret metrics, and generate actionable insights.
 
 
 &middot; Digital Marketing: Familiarity with digital marketing tools, SEO/SEM, email marketing, and social media platforms.
 
 
 &middot; Project Management: Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
 
 
 &middot; Teamwork: Collaborative mindset and ability to work effectively with cross-functional teams.
 
 
 &middot; Attention to Detail: Meticulous in reviewing marketing materials and ensuring accuracy.
 
 
 &middot; Technical Proficiency: Skilled in Microsoft Office Suite (Word, Excel, PowerPoint) and creative tools (Canva, figma, Adobe creative suit). Good to know: marketing software (e.g., HubSpot, Google Analytics).
 
 
 &middot; Adaptability: Comfortable working in a fast-paced, changing environment
 
 
 &middot; Attitude of learning, delegating and working as a team, ranks the highest!
 
 
 
 
 
 
 Educational Background
 
 :
 
 
 Master&rsquo;s degree in Marketing, Business Administration, Communications, or a related field is typically required.
 
 
 
 
 
 
 Experience
 
 :
 
 
 Prior experience in marketing, sales support, or administrative roles is often preferred.
 
 
 
 
 
 
 Skill List:
 
 
 
 &middot; Campaign Planning and execution
 
 
 &middot; Brand Management
 
 
 &middot; Digital marketing
 
 
 &middot; Content creation and strategy
 
 
 &middot; Market research and consumer insights
 
 
 &middot; Marketing analytics and reporting
 
 
 &middot; Email marketing
 
 
 &middot; Event management
 
 
 
</div>

Marketing Analyst-Infosys Springboard

<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

ZeOmega

<div>
 
 
 POSITION SUMMARY
 
 
 
 The Senior Product Analyst is responsible to conceptualize solution framework for product requirements and deliver functional blueprint. Define the product component scope in sync with
 
 
 overall product vision and work closely with engineering teams to deliver winning products. Additionally, undertake artefact review to ensure quality deliverables. It also includes working with sales, marketing and support to ensure customer satisfaction goals are met. The Senior Product Analyst job also includes ensuring that the product supports the company&rsquo;s overall strategy and
 
 
 goals.
 
 
 
 
 
 
 
 
 
 PRINCIPLE JOB RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Work with Product Managers to define the product strategy and roadmap for assigned Modules.
 </li>
 <li>
 Manage product life cycle from strategic planning to tactical activities.
 </li>
 <li>
 Accountable to own &amp; maintain the functionalities for assigned modules/group of modules.
 </li>
 <li>
 Be an expert on assigned product components &amp; understand our competition very well.
 </li>
 <li>
 Review Gap identified in the ongoing implementation projects and projects in pipeline and provide expert solution.
 </li>
 <li>
 Drive &amp; manage Jiva core product track and client specific solutions track in parallel.
 </li>
 <li>
 Deliver product artefacts (User Stories, BCD&rsquo;s, BRDs and PRD/FRS).
 </li>
 <li>
 Provide artefacts walkthrough sessions to all cross functional teams and answer their queries.
 </li>
 <li>
 Carry out thorough market research, competitor&rsquo;s research, policy impacts &amp; tech feasibility.
 </li>
 <li>
 Work with PD teams to share product vision, clarify queries, resolve issues &amp; provide solutions.
 </li>
 <li>
 Work as SPOC on assigned module for Implementation team to provide expert solutions for gaps.
 </li>
 <li>
 Work with SME&rsquo;s to review solutions for policy &amp; customer practices impact on ER/CR &amp; NPI&rsquo;s.
 </li>
 <li>
 Work with SME&rsquo;s all cross-functional teams to bring ideas for ER/NPI&rsquo;s and prepare business case.
 </li>
 <li>
 Be creative &amp; curious to bring NPI, continuous enhancements.
 </li>
 <li>
 Interact with clients, as needed, along with PSG Bas.
 </li>
 <li>
 Prepare artefacts such as ER Diagram, Visio workflows and other documents as needed.
 </li>
 <li>
 Mentor and monitor trainees, new joinees, Associate Analysts.
 </li>
 <li>
 Deliver product walkthroughs on enhancements or initiatives related to assigned modules.
 </li>
 <li>
 Review test cases and ensure quality and maximum scenario coverage as part of TQM
 </li>
 <li>
 Business Analysis experience of (6-8 years) in a similar work area or healthcare industry
 </li>
 <li>
 Experience in software design and development preferred
 </li>
 <li>
 Knowledge of Population health management, Medicare, Medicaid, MCO Compliance standards.
 </li>
 <li>
 Basic knowledge on MSSQL
 </li>
 <li>
 Experience in US healthcare payer and provider markets is required
 </li>
 <li>
 Knowledge of full Software and Content Development Life Cycle (CDLC) is required
 </li>
 </ul>
 
 
</div>

Business 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
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Data Analyst - AI & ML

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