312 Data Research Jobs

Responsibilities: * Maintain data accuracy through verification processes * Input data into computer systems accurately and efficiently * Process incoming data with attention to detail

Role & responsibilities Data Collection : Gather data from primary (surveys, interviews) and secondary sources (market reports, databases). Data Analysis : Use statistical methods and tools to identify trends, patterns, and relationships. Market Research : Evaluate industry trends, competitor strategies, and consumer behavior. Reporting : Create detailed reports, charts, and presentations to communicate findings. Strategic Insights : Provide recommendations based on research to guide business strategies and operations

Looking for Dynamic Data Research candiate having 4+years experience in Data Research, clean, minning, verifying, lead generation etc. with payment & tech solution provider company. Required Candidate profile Research professional with the ability to transform raw data into normalize and transform large datasets to ensure accuracy, completeness, specially Payment and Tech Solution Lead generation.

Job Summary: The Data Analysis and Marketing Executive will play a pivotal role in driving our marketing efforts through data-informed decision-making. This individual will be responsible for collecting, analyzing, and interpreting marketing data to identify trends, uncover insights, and optimize campaign performance. They will collaborate closely with the marketing team to develop and execute data-driven strategies that enhance customer engagement, increase brand awareness, and drive measurable business growth. Key Responsibilities: Data Collection and Management: Gather and consolidate marketing data from various sources, including website analytics, CRM systems, social media platforms, email marketing tools, advertising platforms, and market research. Ensure data accuracy, integrity, and consistency through cleaning and validation processes. Develop and maintain databases or data repositories for marketing information. Data Analysis and Interpretation: Conduct in-depth analysis of marketing campaigns, customer behavior, sales funnels, and market trends. Utilize statistical methods and analytical tools to identify patterns, correlations, and actionable insights. Interpret complex data sets and translate them into clear, concise, and understandable findings for stakeholders. Perform A/B testing and other experiments to evaluate the effectiveness of marketing initiatives and inform optimization strategies. Marketing Strategy and Campaign Development: Provide data-driven recommendations to inform the development of marketing strategies, campaign objectives, and target audience segmentation. Collaborate with the marketing team to conceptualize and execute integrated marketing campaigns across various channels (digital, social media, email, content, paid advertising, etc.). Contribute innovative ideas to marketing campaigns based on data insights and market research. Performance Monitoring and Reporting: Define, track, and report on key performance indicators (KPIs) related to marketing campaigns and overall business goals (e.g., ROI, customer acquisition cost, conversion rates, engagement metrics). Develop and maintain dashboards and reports that provide real-time visibility into marketing performance. Present findings and insights to management and cross-functional teams, clearly communicating the impact of marketing efforts. Market Research and Competitive Analysis: Conduct market research to understand consumer behavior, industry trends, and competitive landscapes. Monitor competitor activities and identify opportunities and threats. Collaboration and Communication: Work closely with marketing, sales, product development, and other relevant teams to ensure alignment and data utilization across departments. Communicate effectively with both technical and non-technical stakeholders, translating complex data into actionable business intelligence. Required Skills and Qualifications: Analytical Skills: Proficiency in data analysis and statistical modeling techniques. Strong problem-solving abilities with a keen eye for detail. Ability to interpret complex data and draw meaningful conclusions. Marketing Knowledge: Solid understanding of marketing principles, strategies, and channels (digital marketing, SEO, SEM, social media, email marketing, content marketing). Familiarity with marketing automation platforms and CRM systems (e.g., HubSpot, Salesforce, Marketo). Technical Proficiency: Expertise in data querying languages such as SQL. Proficiency with data visualization and reporting tools (e.g., Tableau, Power BI, Google Data Studio). Experience with programming languages for data analysis (e.g., Python, R) is often a strong plus. Familiarity with web analytics tools (e.g., Google Analytics). Communication & Soft Skills: Excellent written and verbal communication skills, with the ability to present data and insights effectively. Strong interpersonal skills for collaboration and teamwork. Creativity and innovative thinking. Ability to work independently and manage multiple projects simultaneously in a fast-paced environment. Education: Bachelor's degree in Marketing, Statistics, Economics, Business Analytics, Computer Science, or a related field. A Master's degree may be preferred for more advanced roles. Experience: Proven experience in data analysis and marketing, or a closely related field. This role is ideal for individuals who are passionate about both the art and science of marketing, driven by data, and eager to contribute to strategic business decisions.

Role Overview: As a Data Quality Analyst at TransForm Solutions, your primary responsibility will be to ensure the accuracy, completeness, and reliability of data in eCommerce cataloguing and back-office operations. You will play a crucial role in maintaining data quality standards and implementing quality assurance protocols to enhance productivity and accuracy. Your expertise in advanced Excel functions will be essential for data manipulation and analysis, while your research skills will be utilized to validate information and ensure data correctness. Key Responsibilities: - Oversee Data Quality Management to ensure accuracy, completeness, and reliability of data. - Implement and refine Quality Assurance protocols to meet or exceed set standards. - Continuously evaluate and improve data handling processes for enhanced productivity. - Utilize advanced Excel functions for comprehensive data management without SQL databases. - Conduct in-depth data research to validate information and ensure data correctness. - Generate detailed reports on data quality metrics, issues, and resolutions. - Collaborate with team members to communicate findings and implement changes. - Adhere strictly to established systems and processes for data integrity across operations. Qualification Required: - Bachelor's degree in Information Management, Computer Science, Data Science, Statistics, or related field. - Minimum of five years of experience in data research and eCommerce cataloguing. - At least two years of direct experience as a Quality Analyst. - Demonstrated expertise in Microsoft Excel and advanced functionalities. - Strong analytical skills with attention to detail and commitment to high data quality standards. - Excellent communication skills, both verbal and written. - Ability to work independently and collaboratively in a team environment. Additional Details: At TransForm Solutions, you will have the opportunity to work in a dynamic environment where your contributions are valued. If you have an interest or experience in ChatGPT, Generative AI technologies, and their application in data research and analysis, it will be a significant plus for this role. Join us for a career that promises growth, innovation, and recognition of your potential.,

Job Overview The GTM Engineer will design and maintain the technical and data backbone of our revenue engine. This hybrid role combines engineering, data research, and GTM operations bridging Sales, Marketing, and Customer Success to deliver predictable growth. Key Responsibilities Build and maintain target databases with high data quality for outreach. Research and curate prospect lists using a structured, logical approach. Integrate and automate GTM tools for maximum efficiency. Leverage data insights and AI to improve campaign targeting and conversion. Conduct research to identify and validate ideal target accounts and personas across industries. Build structured, high-quality prospect databases that ensure precise outreach. Continuously refine targeting logic to reduce noise and increase conversion rates. Connect CRM, marketing automation, and customer success platforms into a unified GTM stack. Ensure smooth integrations with enterprise systems via APIs. Design automated workflows to eliminate manual work in lead generation, engagement, and pipeline tracking. Implement repeatable, scalable systems for outreach and follow-up. Create and maintain clean data pipelines for reporting and analytics. Build dashboards that surface insights on outreach performance, pipeline health, and revenue metrics. Use AI to personalize campaigns, optimize outreach, and identify best-fit prospects. Embed AI-driven insights into targeting and engagement strategies. Ensure GTM systems can handle growth without proportional increases in manual effort. Drive predictability in revenue through smarter data and streamlined workflows. Requirements 4 7 years of experience in RevOps, Data Engineering, Sales Engineering, or GTM Operations. Strong technical proficiency with CRMs (HubSpot/Salesforce), automation tools, APIs, and data infrastructure. Proven experience in data research, lead list building, and market segmentation. Strong analytical skills for turning raw data into actionable insights. Problem-solving mindset with the ability to identify inefficiencies and automate them. Excellent communication skills to collaborate with Sales, Marketing, and Product teams. Qualifications Experience with AI/ML-driven GTM tools. Familiarity with ERP/ITSM ecosystems (Dynamics, ServiceNow, SAP, etc.). Understanding of data compliance frameworks (GDPR, HIPAA, SOC 2). Salary Competitive and commensurate with experience.

The Team: The Team of Apprentice, Data Operations work on various research reports and company documents to collect information & generate meaningful consensus from the collected data. This effort is coupled with real time monitoring of global industry trade publications and websites/news aggregators. Different Teams under Enterprise Data Organization includes Estimates & Market Data, Fundamentals, People Data, Transactions (M&A and Capital Market Data), Private markets, and many more Role & responsibilities High quality data (Financial) collection, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical. Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools. Deliver on predefined individual and team targets including delivering outcomes with quality and excellence. Troubleshoots problems or issues and support team in enhancing the workflow/processes for department. Timely response to mails from coworkers and managers. Be proactive and demonstrates aptitude for new learnings. Preferred candidate profile Fresh graduates with a commerce (BBA/BMS/BCom) background OR PGDM/MBA specializing in Finance (Passing year 2025 only) Candidates must be willing to work in rotational shift basis the business requirement (24x5 environment with rotational shifts, including night shift ) Excellent communication skills, both written and oral. Strong understanding of corporate finance and accountancy , including financial statements and annual reports

The Team The Quality group within the Public Ownership domain is primarily responsible for quality assurance, identifying inaccuracies, and reporting inconsistent data. The public ownership domain mainly involves collecting, mapping, and maintaining the shareholding data for publicly listed companies globally. Ownership data is sourced through different filings, such as annual reports and exchange notifications, and then mapped to the respective owners. The Impact: This role is within the Public Ownership operation group. It will be responsible for driving the quality of the Public Ownership dataset. In addition to day-to-day interaction within the team, this role would require working with peers, being involved in process improvement projects, and interacting with cross-location teams. This position is an excellent stepping-stone to understanding the Public Ownership domain that will allow you to gain a comprehensive understanding of investment data and analytics in the marketplace and apply this knowledge to your daily responsibilities. Whats In It For You: This position is an excellent platform for understanding Public Ownership and the Quality data set. Being part of a group driven by principles and challenging roles provides multiple paths for growth and a pool of opportunities to learn and excel. Our people are our priority. Were committed to helping you live your best life inside and outside S&P Global. Continuous Learning: Gain new skills in various subjects through our EssentialTech program. Responsibilities and Impact: Quality Assurance: Conduct regular inspections, audits, and checks to ensure compliance with quality standards. Monitor production processes to identify and resolve quality issues. Quality Control: Analyze samples to ensure specifications and standards are met. Identify defects and recommend preventive and corrective actions. Work with production teams to maintain consistency in output. Process Improvement: Identify areas for process optimization to improve quality, efficiency, and effectiveness. Collaborate with cross-functional teams to implement quality improvement initiatives. Conduct root cause analyses for recurring quality issues and propose preventive measures. Documentation and Reporting: Maintain detailed records of quality inspections, audits, and checks. Generate reports highlighting key performance metrics, trends, and areas for improvement. Collaboration: Actively communicate and collaborate with other stakeholders within the ownership vertical. Collaborate with the internal teams to resolve quality-related concerns promptly. What Were Looking For Bachelors/Masters degree, preferably related to Finance or Business, or an equivalent work experience Able to carry out day-to-day BAU work with minimal assistance. Analytical mindset and strong logical reasoning Intermediate technical Skills in MS Excel, PowerPoint, Word and SQL Good interpersonal and strong communication skills Attention to detail, flexibility, and problem-solving abilities Solution-oriented mindset and ability to detect issues with solutions Articulate and fluent verbal and written communication. Strong communication and interpersonal skills to collaborate effectively with teams and stakeholders. Analyzing quality results and providing actionable insights to stakeholders. Strong knowledge of quality standards such as Six Sigma or Lean methodologies will be a bonus Key Performance Indicators (KPIs) Reduction in defect rates or errors. Improvement in client satisfaction scores. Timely completion of quality audits and corrective actions. Number of process improvement initiatives implemented. Identification of areas of improvement and provide preventive actions

Conducting primary research with selected industry and regulatorysources- Developing and analyzing data- Interpreting findings to derive business implications for the clientsdecision-making

Secondary research from Public data sources Use automated tools to extract data Data cleansing & fixing error Good analytical skills with the ability to collect, organize, analyse, and disseminate

Responsibilities: Collaborate with business stakeholders to understand and refine data-related questions and requirements Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations. Design and implement data models and algorithms to support data-driven decision making. Investigate internal and external data sources to determine availability, quality, and relevance Identify, collect, and analyze relevant data needed to address specific business challenges Propose solutions to close data gaps. Define data structures, formats, and transformation logic needed to support reporting and analytics. Leverage data science techniques to uncover trends, patterns, and correlations in large datasets. Apply data science techniques to automate data validation processes and enhance data integrity. Conduct thorough quality assurance checks on data to ensure accuracy and reliability. Present findings and insights clearly to business stakeholders. Stay current with emerging trends and technologies in data research, business intelligence, and data science. Skills: 5+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as extra and optional). Proficient in AI/ML algorithms and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras) Data mining & preparation using Python. Proficient in statistical analysis to drive decisions. Build and verify hypothesis based on abstract problem statement. Practical experience with Databricks for writing and deploying code through jobs and pipelines. Proficiency SQL (programming languages) for data science related assignments. Experience on building and deploying pipelines in Microsoft azure. Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA. Fine-tune and evaluate Large Language Models for industry-specific tasks. Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face. Deep understanding of LLMs, prompt engineering, and transformer architectures. Educational background in Math / Statistics / Engineering / Science. Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.

Secondary research from Public data sources. Use automated tools to extract data. Good analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

Secondary research from Public data sources Use automated tools to extract data Good analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

Identifying sources of information and conducting secondary research for the various products/ sectors being studied Ability to understand the objectives/ requirements of a market research project.

Product Manager I - Broker Research Experience: 3 - 9 Years Exp Salary : Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills : Broker research OR Content research OR Data research Alphasense (One of Uplers' Clients) is Looking for: Product Manager I to join the Broker Research team. The PM I must have working knowledge of investment research, including the business models and client use cases for research content and associated data. The focus of this role will be the integration and maintenance of third-party content in AlphaSense. Additional responsibilities will include the need to continuously analyze and enhance processes by working with our agile teams. The candidate must also be capable of articulating and delivering a vision for research and data on AlphaSense. Job Description Who You Are: 3-5 years’ experience in financial services with a specific focus on broker research. A strong knowledge of broker data, content, and metadata. Content delivery experience using iterative / agile development methodologies. A proven track record of delivering content from initial engagement to release. A superior ability to set priorities, stay focused and meet deadlines. Experience working with distributed teams. Existing relationships with broker research departments and key third-party distribution vendors. Strong analytical skills and outstanding attention to detail. B2B SaaS and/or enterprise software application company experience. Solid experience with Microsoft Office and Google Workspace products (Excel, Word, Sheets, etc) What You’ll Do: Responsible for the end-to-end integration of third-party content and data feeds. Work with external and internal stakeholders to create detailed requirements for broker data and content. Collect product & workflow enhancement requests from brokers & internal stakeholders. Applying agile development methodology and working iteratively with engineers and various stakeholders to define scope and deliver features and improvements rapidly, while iterating to make improvements. Work with other members of the broker research team, continuously analyze our processes and tools to identify gaps and areas of improvement. Manage and maintain strong broker and independent research relationships with key decision makers; including product, business, technology, and operations teams. Project manage partnership initiatives with research providers. Create and manage a project roadmap by working with development teams to understand and optimize costs, benefits, and timelines for all aspects of implementation. Contributing to the successful launch of content into the market, including the creation of announcements, marketing collateral, documentation, user training and internal training. Track industry trends and deliver competitive intelligence to better evolve product vision. If this sounds like you, we’d love to hear from you! Please submit your resume. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Secondary research from Public data sources Use automated tools to extract data Good analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

Opening for Research Analyst Consultant Experience: Freshers Qualification: 2nd PUC, Diploma, B.A, BCA B.E, MCA, not relevant( Please don't share the CV) Job Details The company provides IT enabled Data research & processing services for a US organizations in Academic domain. We are a team of highly motivated professionals providing highest quality data, with shortest turnaround time. We collect data related to Academic faculties studying in various universities of the U.S., affiliated to government or private aided organizations. This job profile focuses on collecting Career history of such faculty members from many universities, manually from different websites like University webpages, LinkedIn, Science direct, Google scholar, etc. Data collection includes personal information, articles, books, awards, salary etc. This data is collected & fed into our database through an Web application, based on classified affiliations (like university type, department type, degree type etc.) Qualifications & Skills Diploma or Graduation from any reputed university Freshers preferred. Any experience (0-1yrs) in can be considered Candidates must be proficient in English (Oral & Written) Good understanding of Internet research ability is a must. Ability to work independently with minimal follow ups for their assigned tasks. Familiarity with Microsoft Office applications Good learner; ability to grasp and think creatively when necessary Open minded, receptive, and adaptable to our work culture. Able to meet the required goals, with high quality and on time. Should be able to stretch timelines, when a need arises to meet deadlines. Responsibilities, but not limited to the following : Article Matching via RealTime Tool and DVI application OnBoard New Contacts to Database Collect and update of Degree Information (degree year, institution, and highest degree (usually Ph.D.) Collection of person specific URLs (these are used as an article matching aid and in system scoring) Collect faculty information from University websites Adhoc assignments as needed Preferences : Candidate must preferably be located in Bangalore Laptop & Broadband connection is Mandatory This is a Non-voice, Non-Technical opportunity; Mandatory Key Skills internet research,research analysis,data collection,ups,articles,history,content writing,blog writing,article writing,secondary research,market research,creative writing,primary research,content editing,business research,Data research*

Opening for Research Analyst Consultant Experience: Freshers Qualification: 2nd PUC, Diploma, B.A, BCA B.E, MCA, not relevant( Please don't share the CV) Job Details The company provides IT enabled Data research & processing services for a US organizations in Academic domain. We are a team of highly motivated professionals providing highest quality data, with shortest turnaround time. We collect data related to Academic faculties studying in various universities of the U.S., affiliated to government or private aided organizations. This job profile focuses on collecting Career history of such faculty members from many universities, manually from different websites like University webpages, LinkedIn, Science direct, Google scholar, etc. Data collection includes personal information, articles, books, awards, salary etc. This data is collected & fed into our database through an Web application, based on classified affiliations (like university type, department type, degree type etc.) Qualifications & Skills Diploma or Graduation from any reputed university Freshers preferred. Any experience (0-1yrs) in can be considered Candidates must be proficient in English (Oral & Written) Good understanding of Internet research ability is a must. Ability to work independently with minimal follow ups for their assigned tasks. Familiarity with Microsoft Office applications Good learner; ability to grasp and think creatively when necessary Open minded, receptive, and adaptable to our work culture. Able to meet the required goals, with high quality and on time. Should be able to stretch timelines, when a need arises to meet deadlines. Responsibilities, but not limited to the following : Article Matching via RealTime Tool and DVI application OnBoard New Contacts to Database Collect and update of Degree Information (degree year, institution, and highest degree (usually Ph.D.) Collection of person specific URLs (these are used as an article matching aid and in system scoring) Collect faculty information from University websites Adhoc assignments as needed Preferences : Candidate must preferably be located in Bangalore Laptop & Broadband connection is Mandatory This is a Non-voice, Non-Technical opportunity; Mandatory Key Skills linkedin,market research,secondary research,content writing,primary research,business research,industry research,qualitative research,creative writing,blog writing,internet research*,data research*,research analysis*,data collection*,articles*

Opening for Research Analyst Consultant Experience: Freshers Qualification: 2nd PUC, Diploma, B.A, BCA B.E, MCA, not relevant( Please don't share the CV) Job Details The company provides IT enabled Data research & processing services for a US organizations in Academic domain. We are a team of highly motivated professionals providing highest quality data, with shortest turnaround time. We collect data related to Academic faculties studying in various universities of the U.S., affiliated to government or private aided organizations. This job profile focuses on collecting Career history of such faculty members from many universities, manually from different websites like University webpages, LinkedIn, Science direct, Google scholar, etc. Data collection includes personal information, articles, books, awards, salary etc. This data is collected & fed into our database through an Web application, based on classified affiliations (like university type, department type, degree type etc.) Qualifications & Skills Diploma or Graduation from any reputed university Freshers preferred. Any experience (0-1yrs) in can be considered Candidates must be proficient in English (Oral & Written) Good understanding of Internet research ability is a must. Ability to work independently with minimal follow ups for their assigned tasks. Familiarity with Microsoft Office applications Good learner; ability to grasp and think creatively when necessary Open minded, receptive, and adaptable to our work culture. Able to meet the required goals, with high quality and on time. Should be able to stretch timelines, when a need arises to meet deadlines. Responsibilities, but not limited to the following : Article Matching via RealTime Tool and DVI application OnBoard New Contacts to Database Collect and update of Degree Information (degree year, institution, and highest degree (usually Ph.D.) Collection of person specific URLs (these are used as an article matching aid and in system scoring) Collect faculty information from University websites Adhoc assignments as needed Preferences : Candidate must preferably be located in Bangalore Laptop & Broadband connection is Mandatory This is a Non-voice, Non-Technical opportunity. Keywordslinkedin,market research,secondary research,content writing,primary research,business research,industry research,qualitative research,creative writing,blog writing,internet research*,data research*,research analysis*,data collection*,articles*

We seek a Technical Assistant to support office operations with documentation, data management, reports, and technical coordination. Must have MS Office skills, communication ability, and 13 yrs experience in admin/technical support.

Responsibilities: * Conduct online research using various tools * Build databases for client projects * Collect data from web sources * Execute internet searches efficiently * Analyze information found Freshers are welcome to apply Provident fund Employee state insurance Free meal

As a part of Moonpreneur, an ed-tech start-up in Gurgaon, India, specializing in tech entrepreneurship for children aged 8-15, you will be joining a team dedicated to empowering young innovators through a STEAM-focused program. With a vision to equip children with the knowledge and tools to excel in their chosen fields, our 4-stage program aims to guide them towards future academic and career paths while enhancing their skills and interests. Our collaborative approach to project-based learning fosters creativity and intellectual growth, preparing children for their future endeavors. We are seeking a highly motivated individual to contribute to our marketing operations by engaging in market research, coordinating with various teams, and aiding in the creation and distribution of marketing materials. Your responsibilities will include ensuring the accuracy and currency of marketing data sheets, collaborating with designers, video editors, and content writers to produce marketing materials, supporting SEO, Social Media, and Affiliate Marketing teams with data and market research, assisting in report generation and analysis, and performing other related tasks as required. The ideal candidate should possess a minimum of 1 year of experience in a similar role, hold a Bachelor's degree in science/technology or higher education, and demonstrate excellent communication, interpersonal, and leadership skills. An organized approach to multitasking, prioritization, and meeting deadlines is essential, along with proficiency in Excel, Powerpoint, and data research tools. If you are enthusiastic about contributing to a dynamic team focused on innovative learning solutions for children, we invite you to apply for this position by submitting your resume and a cover letter to careers@moonpreneur.com in PDF format.,

Kick-start or elevate your career in the automotive data field by joining a fast-growing team in the Southeast Asia (SEA) region. We are looking for a detail-oriented, data-driven individual whether you&aposre an experienced analyst or a fresh graduate passionate about cars and data. Job Overview This role provides the opportunity to explore and manage automotive OES (Original Equipment Supplier) car parts data for the SEA region. If you&aposre detail-oriented, independent, and excited about working with large volumes of data in the automotive space, this is the right fit for you. Job Responsibilities Research and gather domestic and foreign automotive OES parts data from reliable sources in the SEA region. Conduct in-depth analysis on various vehicle models to ensure data accuracy and relevance. Extract, interpret, and input automotive parts information from electronic catalogues into internal systems. Identify, correct, and document data discrepancies following standard workflows. Generate analytical reports to support decision-making and provide actionable insights. Collaborate with internal departments to uphold and improve data quality standards. Assist team leads in ensuring timely delivery of projects with technical accuracy. Proactively suggest improvements to enhance data processes and efficiency. Qualifications & Requirements Bachelors degree or diploma in Mechanical Engineering, Automotive Engineering, Computer Science, or any relevant technical field. Fresh graduates with a strong interest in data and the automotive industry are encouraged to apply. Experience (03 years) in data research, data entry, or the automotive industry is advantageous. Individuals with a background as Service Advisors from automotive service centers are welcome - especially those familiar with parts identification, repair processes, and vehicle models. Strong interest in data-related roles within the automotive sector. A genuine automotive enthusiast with curiosity to learn about vehicle systems and components. Proficient in Microsoft Excel and managing large data sets. Excellent communication skills in English (spoken and written). Independent, analytical, detail-oriented, and able to work under pressure. A strong problem-solver and proactive team player. Why Join Us Be part of a growing regional team shaping the future of automotive data. Collaborative, diverse work environment with opportunities to learn and grow. Exposure to international automotive data and systems. Career development opportunities across departments and regions. Show more Show less

Job description The Data Team Lead oversees the management of the day-to-day activities for a sub-team of managed investment data (MID) that powers the Morningstar products and platforms. Typically, the Data Team Lead works closely with Global Process Owners, MID Data Leaders and Global Data Director, as well as with the global stakeholders to ensure that all the agreed deliverables from the team are met, and that the team is fully equipped in terms of training and documentation. He or she, together with MID Data Leaders and Global Data Director, will be accountable for ensuring and improving the performance, productivity and efficiency of the teams and the delivery of the operational performance KPIs, for team engagement, morale, and supporting the build for growth ladders of members. This role will functionally report to MID Data Leader, based in Shenzhen, and matrix report to MID Data Director, based in Mumbai. Responsibilities : Assist in managing and developing a team of 10+ Data Research Analysts by providing clear direction, establishing SMART goals, and optimizing resource allocation for processes/projects. Working closely with multiple global teams and across various functions. Participate regularly in global calls and meetings. Assist the team to identify and eliminate roadblocks by partnering with technology teams and other database teams. Should be able to research complex projects leading to actionable recommendations and solutions. Fair product knowledge, both upstream and downstream. Assist in promoting LEAN Six Sigma tools and methodologies as an analyst framework for assessing the root cause of issues and improving processes. Ensure appropriate methods and techniques to improve and maintain the highest quality standards in the data collected by the team. Acts as main point of contact/manager for his or her entire team for all questions, comments and concerns. Tracks, measures and reports on agreed daily, monthly and quarterly metrics to all stakeholders. Provides coaching and training to team members as appropriate and according to the specific needs of the individual and the group. Identifies areas for improvement across the team and proactively takes steps to improve upon these weaknesses by offering ideas for individual and group training and conducting or arranging individual and group training sessions as appropriate. Sets goals and priorities for the individuals in the team in consultation with the Global Process Owner, MID Data Leaders and Global Data Director. Effectively motivates and rewards the team insuring good overall morale. Conducts performance reviews of each team member and explains/sets career development paths and opportunities for team members. Monitors Data Research Analysts availability to guarantee minimum staffing requirements are met/exceeded. Daily Job Responsibilities/Deliverables: Hold sessions with the team to communicate any changes, issues, procedures or reminders. Communicate any questions, issues or recommendations with regards to process, workflow, technology, methodology, team morale etc. to stakeholders. Operational matters. Accept/reject leave requests. Arrange for job shifts based on daily staffing requirements. Provide floor support by answering questions, solving issues that come up throughout the day and observing the dynamics of the team. Monitor production and quality for all Data Research Analysts onsite. Ensure adequate engagement levels of the staff to drive business results. Competencies Attention to Detail. Methodical Problem-Solving Skills. Analytical (Must be able to interpret data and analytics in an operations environment). Excellent Organization Skills (Email, Task Management, Follow-up). Self-Motivated. Ability to Motivate and Build Relationships with Others. Ability to Both Take and Give Direction & Criticism. Willing and excited about working with and developing Team Members. Goal Oriented. Honesty & Integrity. Requirements : Bachelor/Master s degree in finance/business with an exceptional academic record. Professional degree (CA, CA-Inter, ICWA, ICWA-Inter) preferred. 5+ years of professional work experience at various levels of seniority. Strong people and project management skills. Ability to effectively communicate with local and international teams. Proven experience optimizing processes. Eager and ready to work in a high-performance culture. Ability to take calls early or late nights once or twice a week. Prior experience leading teams of 10+ people will be an additional advantage. Demonstrated ability to develop talent.

The Position: Senior Data Analyst The Department: Fixed Income Data Operations Team The Group: Morningstar’s Research Group provides independent analysis on individual securities, funds, markets and portfolios. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the foundation of our company. Morningstar Fixed Income Team provides expertise in bonds and derivatives - the data, the analytics, the use cases for target clients. It defines the Fixed Income capability roadmap, develops fixed income methodology, identifies data vendor, produces value-added data, and coordinates across product squads to build new and enhance fixed income functionality. Fixed Income Data Operations Team works closely with Fixed Income Data & Analytics Team and Data Technology Teams to collect fixed income data, solve data issues, establish data QA and reporting framework, and ensure data completeness, timeliness and quality. The Role: In this role as Senior Data Analyst, the candidate will work on QA process for Fixed Income Reference Data, Price/Analytics Data and Corporate Actions Data from various data vendors. The candidate will adhere to the company goals, policies and procedures and work in a focused manner to achieve the overall objectives. The candidate will be responsible for, with the help of leaders, ensuring and improving the performance, productivity, efficiency and the delivery of the operational performance KPIs. He/she will effectively manage their performance and development in order to support Morningstar’s Research Group continuous operational success. Responsibilities: Work on Fixed Income data maintenance and QA processes to ensure data timeliness, completeness and accuracy to meet business objectives. Manage relationships between Morningstar and all Fixed Income data vendors. Partner with stakeholders including various Product teams, Quality Assurance Teams and development teams to resolve clients’ data issues timely and effectively. Participate in the Center of Excellence initiative focused on reducing resource costs, consolidating global data collection platforms, and supporting database integration projects. Establish and achieve the set Objectives & Key Results (OKRs) with the direction of the team lead. Understand Morningstar data models, data infrastructure from an end-to-end data process from data collection to reporting. Use Lean Six Sigma tools to improve processes through monitoring, analyzing and executing summary reports. Proactively raise issues, question status quo and seek improvement on operational processes to improve system functionality, process efficiency and data quality. Participate in data and process related projects such as industry/market research, market expansion, process certification, new product development support, etc. Facilitate cross-team projects to implement approved solutions based on priority and impact. Able to independently investigate or troubleshoot data or production issues. Demonstrate a high sense of ownership of the process, understand roles & responsibilities by acting as a process trainer and mentor. Requirements: Minimum 2-5 years’ experience in the finance industry. Knowledge of Fixed Income and/or Derivatives financial products, and familiarity with Risk analytics such as Durations, Spread and Yield/Return would be required. In-depth knowledge of Fixed Income and/or Derivatives financial products. Strong understanding of Fixed Income Reference Data Good command in MS Office (Excel, PowerPoint etc.) and SQL; advanced users preferred. Macro and/or Python and machine learning will be a plus. Equipped with an understanding of data competencies like data security, data analysis etc. Critical thinker with strong analytical, problem-solving capabilities, excellent communication skills (both written and verbal), and reporting skills. Good team player with a teachable spirit, and receptive to constructive feedback, equipped with self-motivation in an independent, fast-paced work environment. Ability to exercise control over the planned activities like training / mentoring new hires, performing quality checks etc. Able to work under tight deadlines and handle pressure during peak seasons. Good project management skills with a proven track record of working on and delivering projects independently. Virtual team working experience is a plus. Flexibility to work in shifts. Morningstar is an equal opportunity employer