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quantitative analyst

Google

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 Minimum qualifications:
 
 
 
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 Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
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 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
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 Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
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 Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
 
 
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 Preferred qualifications:
 
 
 
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 Experience translating analysis results into business recommendations.
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 Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
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 Experience selecting tools to solve data analysis issues.
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 Experience articulating business questions and using data to find a solution.
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 Knowledge of structural econometric methods.
 
 
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 </ul>
 
 About The Job
 
 
 
 At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
 
 
 
 Responsibilities
 
 
 
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 Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products.
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 Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions.
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 Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives.
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 Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development.
 
 
 
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 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Staff Data Scientist, Ads Insights and Measurement

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 Minimum qualifications:
 
 
 
 <ul>
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 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years work experience with a Master's degree.
 
 
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 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
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 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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 Experience with privacy-preserving technologies and data regulations.
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 Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM).
 
 
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 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 
 Responsibilities
 
 
 
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 Driving business growth and help the team to empower advertisers with the tools and insights they need to navigate the evolving digital advertising landscape.
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 Develop quantitative models and frameworks to assess the business opportunity associated with improvements in attribution, incrementality testing, full-funnel measurement, and online-to-offline (O2O) measurement.
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 Quantify the impact of data deprecation and regulatory changes on Ads performance. Develop metrics to track the effectiveness of the mitigation strategies and data durability initiatives.
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 Define success metrics for the efforts to create a unified measurement platform. Analyze the impact of closing measurement gaps and enhance the customer value proposition.
 
 
 
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 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Data Scientist Product, Analytics, Insights and Measurement

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.
 
 
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 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
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 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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 5 years of experience working in a complex, matrixed organization.
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 5 years of experience preparing and delivering technical presentations to executive leadership.
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 3 years of experience in mobile advertising analytics.
 
 
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 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
 
 
 
 Responsibilities
 
 
 
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 Work across Games Spend and business generation, Developer Success, and Games Ecosystem to further our understanding of the Games business at Play.
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 Partner with Games Data Science and Product Strategy team members, Play Games Product Management (PM), Engineering (Eng), Product Marketing Management (PMM), User Experience (UX) and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences.
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 Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games.
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 Develop a comprehensive understanding of the gaming industry.
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 Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using Plx tools.
 
 
 
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 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Product Data Scientist, Google Play Games

Meta

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 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
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 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
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 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
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 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
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 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
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 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
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 </ul>
 Minimum Qualifications:
 
 
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 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
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 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
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 6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
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 Candidate must remain in role in the same team in India for a minimum period of 24 months before being eligible for transfer to another role, team or location
 
 
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 Preferred Qualifications:
 
 
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 Master's or Ph.D. Degree in a quantitative field
 
 
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 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Scientist, Product Analytics

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
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 Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods.
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 Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve large, complex problems.
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 Ability to present to executives and communicate effectively with highly technical leadership teams.
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 Ability to manage multiple assignments simultaneously in a fluid environment.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with large, complex internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.
 </li>
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 Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
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 Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements.
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 Develop, own and evolve investigative frameworks providing source of truth measures for the organization.
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 Conduct deep dives revealing opportunities and risks, enabling the team to understand trends and prioritize resources.
 
 
 
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 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Senior Data Scientist, Product, Android App Safety

SAIGroup

<div>
 
 About SAIGroup
 
 :
 
 
 SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.
 
 
 
 Job Summary:
 
 
 
 Our firm is seeking a Market Research Analyst who will be responsible for researching industry trends, conducting market analysis, and identifying growth opportunities for our portfolio companies. The ideal candidate will have a strong background in market research methodologies, competitive intelligence, and possess excellent analytical and data visualization skills.
 
 
 
 Key Responsibilities:
 
 
 
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 Conduct comprehensive market research to identify emerging industry and technology trends
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 Analyse market dynamics, competitive landscapes, and consumer behaviour patterns
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 Track and report on market size, growth rates, and potential opportunities in AI related sectors
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 Develop and maintain market intelligence databases to support investment decisions
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 Create detailed market segmentation analyses and identify target market opportunities
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 Design and execute both qualitative and quantitative research projects
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 Prepare insightful market research reports with actionable recommendations
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 Stay abreast of market developments and provide regular updates to the team
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 Develop compelling data visualizations and PowerPoint presentations to communicate research findings to senior executives
 
 
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 </ul>
 
 Qualifications:
 
 
 
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 1&ndash;3 years of experience in market research. Demonstrated Interest in technology, innovation, and emerging markets; experience in AI-related projects is a plus.
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 Working knowledge of latest AI related developments including but not limited to Generative AI, LLM models, companies/startups working on developing service offerings in the AI industry.
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 Experience using market research tools and databases (e.g., Gartner, Forrester, CB Insights).
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 Bachelor's degree in Market Research, Marketing, Economics, Business Administration, or related field; Candidates with an MBA are preferred.
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 Proficiency in data analysis (Excel, Python) and presentation skills (PPT).
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 Familiarity with Python and SQL is not required but would be a plus.
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 Excellent critical thinking and problem-solving abilities.
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 Outstanding written and verbal communication skills.
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 Ability to work independently and collaboratively in a fast-paced environment.
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 </ul>
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Market Research Analyst

Explore 96+ Quantitative analyst in Mangaluru this September. Find roles across top companies and apply now to boost your career.

96 quantitative analyst jobs IN Mangaluru

Staff Data Scientist, Ads Insights and Measurement

Data Scientist Product, Analytics, Insights and Measurement

Product Data Scientist, Google Play Games

Product Data Scientist, Google Play Games

Data Scientist, Product Analytics

Senior Data Scientist, Product, Android App Safety

Market Research Analyst