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data analyst, risk

data analytics specialist

Soul AI

<div>
 
 
 About Us:
 
 
 
 Soul AI is a cutting-edge AI data and quality operations company founded by IIT Bombay and IIM Ahmedabad alumni. With team members from leading institutions like IITs, NITs, and BITS, we specialize in human-in-the-loop AI systems, curated datasets, and high-precision domain evaluations. Located in San Francisco and Hyderabad, we focus on building AI that positively transforms businesses and society.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Analyst to evaluate and refine data-oriented outputs generated by AI systems. You will analyze datasets, validate AI-generated insights, and enhance the model&rsquo;s ability to interpret patterns and derive meaningful conclusions. Your analytical expertise will directly influence the training of next-generation analytical AI tools.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze AI-generated data insights, reports, and dashboards.
 </li>
 <li>
 Validate statistical accuracy, data logic, and analytical reasoning.
 </li>
 <li>
 Identify inconsistencies, anomalies, or incorrect interpretation
 </li>
 <li>
 Provide structured feedback to strengthen AI understanding of analytics.
 </li>
 <li>
 
 Review prompts involving data cleaning, EDA, visualization, and metrics.
 
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong foundation in data analysis, Excel, SQL, and visualization tools.
 </li>
 <li>
 Experience with Python, Pandas, NumPy, or analytical workflows is a plus.
 </li>
 <li>
 Understanding of statistics, data validation, and business intelligence.
 </li>
 <li>
 Detail-oriented with strong problem-solving and reasoning skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on high-impact projects that contribute to building AI for Good.
 </li>
 <li>
 Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
 </li>
 <li>
 Opportunity to grow in a fast-paced, innovation-driven environment
 </li>
 </ul>
 
 
</div>

Data Analyst

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 4 years of experience in data analytics, access and authentication management, cybersecurity, technology research, anti-abuse, or related fields.
 </li>
 <li>
 Experience in SQL, building dashboards, data collection and transformation, statistical modeling, visualization and dashboards, or a scripting or programming language (e.g., Python, Java, C++).
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
 
 
 As a Data Analyst, you will be responsible for designing, developing, and maintaining trust and safety access and security systems, ensuring that security objectives are met without compromising operational efficiency. You will be designing and implementing seamless integrations between business goals and security systems, which includes developing and executing strategies to enhance system effectiveness. You will also manage complex projects with multiple stakeholders, stringent deadlines, and significant organizational implications, requiring a high degree of adaptability to changing circumstances. You will have an understanding of the process area, encompassing domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and advanced methodologies such as data extraction and pipeline building.
 
 
 At Google we work hard to earn our users&rsquo; trust every day. Trust &amp; Safety is Google&rsquo;s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google&rsquo;s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain trust and safety access and security systems, ensuring security objectives are met without compromising operational efficiency.
 </li>
 <li>
 Design and implement seamless integrations between business goals and security systems, including developing and executing strategies to support system effectiveness.
 </li>
 <li>
 Manage projects involving multiple stakeholders, stringent deadlines, significant organizational implications, and requiring adaptability to changing circumstances.
 </li>
 <li>
 Demonstrate an understanding of the process area, including domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and investigative methodologies (e.g., extracting data, building data pipelines).
 </li>
 <li>
 Create anomaly detection pipelines, monitor and analyze systems for scaled abuse detection and user access monitoring and reduce risk to the enterprise.
 
 
 
 </li>
 </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>

Data Analyst, Risk

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Saras Analytics

<div>
 
 
 About Saras Analytics
 
 
 
 We are an ecommerce focused end to end data analytics firm assisting enterprises &amp; brands in data driven decision making to maximize business value. Our suite of work spans extraction, transformation, visualization &amp; analysis of data delivered via industry leading products, solutions &amp; services. Our flagship product is Daton, an ETL tool. We have now ventured into building exciting ease of use data visualization solutions on top of Daton. And lastly, we have a world class data team which understands the story the numbers are telling and articulates the same to CXOs thereby creating value.
 
 
 
 
 
 
 Where we are Today
 
 
 
 We are a boot strapped, profitable &amp; fast growing (2x y-o-y) startup with old school value systems. We play in a very exciting space which is intersection of data analytics &amp; ecommerce both of which are game changers. Today, the global economy faces headwinds forcing companies to downsize, outsource &amp; offshore creating strong tail winds for us. We are an employee first company valuing talent &amp; encouraging talent and live by those values at all stages of our work without comprising on the value we create for our customers. We strive to make Saras a career and not a job for talented folks who have chosen to work with us.
 
 
 
 
 
 
 Responsibilities
 
 
 
 &bull; Well versed with Python/R, Excel, JavaScript, SQL, Tableau &amp; Google Analytics &bull; Excellent written and oral communication skills.
 
 
 &bull; Ability to break down abstract problems.
 
 
 &bull; Expert level understanding on Google Analytics, Omniture Site Catalyst or any other Analytics tools
 
 
 &bull; Experience with setting up enhanced eCommerce in GA and auditing GA for gaps.
 
 
 &bull; Expertise in using A/B testing tools like Google Optimize, Optimizely or a similar tool.
 
 
 &bull; Demonstrated capability in having grown conversion rates on websites and references for the same.
 
 
 &bull; Demonstrated ability to code in R or Python.
 
 
 &bull; Adept at putting together presentations and presenting to senior leaders with minimal guidance.
 
 
 &bull; Familiarity with digital marketing, email marketing tools and their capabilities
 
 
 &bull; Ability to coach junior resources and manage their workload.
 
 
 &bull; Proficient in spoken and written English
 
 
 &bull; Link to your Blog or Github page (if present)
 
 
 
 
 
 Requirements
 
 
 
 &bull; 2+ Experience delivering marketing, customer, and digital analytics projects for large organizations.
 
 
 &bull; Experience working on analytical problems involving forecasting, clustering, and classification will help.
 
 
 &bull; Demonstrated ability to code in R or Python.
 
 
 &bull; Adept at putting together presentations and presenting to senior leaders Understanding of Google Analytics, Omniture Site Catalyst, or any other digital analytics tools.
 
 
 &bull; Ability to coach junior resources and manage their workload.
 
 
 &bull; Proficient in spoken and written English
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in engineering or statistics
 
</div>

Business Analyst

Multiplier AI

<div>
 
 
 Job Title: AI Business Analyst Product Owner
 
 
 
 
 Location:
 
 Madhapur, Hyderabad (Onsite)
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Experience:
 
 4&ndash;6 years
 
 
 
 
 
 
 
 
 
 About the Company:
 
 Multiplier AI has been awarded as a global leader in emerging platforms for pharma marketing in 2020. Our platforms help specialty pharma use AI and digital techniques to better micro-target physicians and execute campaigns.
 
 
 
 
 
 
 About the Role :
 
 We are looking for a
 
 AI Business Analyst Product Owner
 
 to lead pharma analytics and competitive intelligence projects for global pharmaceutical clients. This role requires strong project ownership, cross-functional coordination, analytics expertise, and client-facing capabilities to deliver high-quality commercial insights.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Manage end-to-end delivery of pharma analytics and competitive intelligence projects, ensuring scope, quality, timelines, and client satisfaction.
 </li>
 <li>
 Define project plans, methodologies, milestones, and resource allocation aligned with business and client objectives.
 </li>
 <li>
 Lead cross-functional teams and conduct regular quality checks, reviews, and audits to maintain high delivery standards.
 </li>
 <li>
 Ensure strict compliance with internal processes, data governance, and industry standards.
 </li>
 <li>
 Analyze pharma data including pipeline analysis, clinical trial landscapes, pricing &amp; reimbursement, sales force effectiveness, and competitor portfolios to generate actionable insights.
 </li>
 <li>
 Act as the primary client contact, managing queries, reviews, and solution or product demonstrations.
 </li>
 <li>
 Collaborate with business development teams on proposals, presentations, and solution discussions.
 </li>
 <li>
 Drive continuous process improvements, automation initiatives, and analytics enablement.
 </li>
 <li>
 For AI-driven products, ensure customer satisfaction through high-quality product delivery, performance consistency, and timely releases.
 </li>
 <li>
 Prepare executive-level reports, dashboards, and presentations
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Pharmacy, Life Sciences, or related field
 
 </li>
 <li>
 
 4&ndash;6 years of experience
 
 in technical project management within pharma analytics, healthcare research, or commercial intelligence
 </li>
 <li>
 Proven experience managing
 
 client-facing, analytics-driven projects
 
 </li>
 <li>
 Experience working with global stakeholders
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Expertise
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 JIRA
 
 </li>
 <li>
 Advanced
 
 MS Excel
 
 (reporting, dashboards; VBA preferred)
 </li>
 <li>
 Excellent knowledge of
 
 pharma commercial analytics
 
 and healthcare market research
 </li>
 <li>
 Experience in
 
 primary &amp; secondary research, data validation, and quality control
 
 </li>
 <li>
 Strong communication, presentation, and stakeholder management skills
 </li>
 <li>
 Ability to manage multiple projects in a fast-paced environment
 </li>
 <li>
 Agile project management experience is a plus
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience working with pharma analytics or healthcare research firms in Hyderabad
 </li>
 <li>
 Demonstrated excellence through
 
 performance awards or recognitions
 
 </li>
 <li>
 Exposure to automation, workflow optimization, or analytics enablement
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on
 
 high-impact global pharma analytics projects
 
 </li>
 <li>
 Collaborate with experienced domain and analytics professionals
 </li>
 <li>
 Opportunity to lead, innovate, and grow in a data-driven environment
 </li>
 <li>
 Competitive compensation and career growth opportunities
 </li>
 </ul>
 
 
</div>

AI Business Analyst Product Owner

Amazon

<div>
 
 
 DESCRIPTION
 
 
 
 
 TOC (Transportation Operation Center) is the central command and control center for &lsquo;Transportation Execution&rsquo; across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data.
 
 
 Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon&rsquo;s ability to serve its customers on time.
 
 
 Purview of a Trans Ops Specialist
 
 
 A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals &ndash; Inbound and Outbound operations.
 
 
 Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery.
 
 
 Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises.
 
 
 A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion.
 
 
 
 Responsibilities Include, But Are Not Limited To:
 
 
 
 <ul>
 <li>
 Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)
 </li>
 <li>
 Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus.
 </li>
 <li>
 Develop and/or understand performance metrics to assist with driving business results.
 </li>
 <li>
 Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC.
 </li>
 <li>
 Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
 </li>
 <li>
 Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
 </li>
 <li>
 Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
 </li>
 <li>
 Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum.
 </li>
 <li>
 Providing real-time customer experience by working in 24*7 operating environment.
 
 
 </li>
 </ul>
 A day in the life
 
 
 
 About The Hiring Group
 
 
 
 Job responsibilities
 
 
 A day in the life
 
 
 
 About The Hiring Group
 
 
 
 Job responsibilities
 
 
 
 
 BASIC QUALIFICATIONS
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree
 </li>
 <li>
 10-24 months of work experience.
 </li>
 <li>
 Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams
 </li>
 <li>
 Proficiency in Advanced Excel (pivot tables, vlookups)
 </li>
 <li>
 Demonstrated ability to work in a team in a very dynamic environment
 
 
 </li>
 </ul>
 
 
 PREFERRED QUALIFICATIONS
 
 
 
 
 <ul>
 <li>
 Logistics background and lean/six sigma training is a plus
 </li>
 <li>
 Proficient in SQL
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Dev Center India - Hyderabad
 
 
 Job ID: A2868615
</div>

Transportation Representative, AV

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