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remote data analyst 60736

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

KPMG India

<div>
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 
 Job Title: Quantexa Business Analyst
 
 
 
 
 Experience:
 
 9&ndash;13 Years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Quantexa Business Analyst
 
 who can bridge business requirements with technical implementation for Quantexa-based solutions. The ideal candidate will have strong knowledge of
 
 Quantexa concepts
 
 , hands-on experience in
 
 entity resolution
 
 ,
 
 compounds
 
 , and
 
 records
 
 , and the ability to translate client needs into actionable technical specifications.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Business Analysis &amp; Requirement Gathering
 
 </li>
 <li>
 Work closely with clients to understand business objectives and translate them into Quantexa solution requirements.
 </li>
 <li>
 Document functional specifications, workflows, and data mapping for Quantexa implementations.
 </li>
 <li>
 
 Quantexa Technical Understanding
 
 </li>
 <li>
 Deep understanding of
 
 Quantexa platform concepts
 
 such as:
 </li>
 <li>
 
 Entity Resolution
 
 &ndash; linking disparate data sources to create unified entities.
 </li>
 <li>
 
 Compounds
 
 &ndash; grouping related entities for contextual analysis.
 </li>
 <li>
 
 Records
 
 &ndash; managing and structuring raw data for Quantexa ingestion.
 </li>
 <li>
 Collaborate with technical teams to ensure accurate configuration and deployment.
 </li>
 <li>
 
 Solution Design &amp; Validation
 
 </li>
 <li>
 Define data models, entity resolution rules, and compound structures based on client use cases.
 </li>
 <li>
 Validate Quantexa outputs against business requirements and ensure data quality.
 </li>
 <li>
 
 Client Interaction &amp; Stakeholder Management
 
 </li>
 <li>
 Act as the primary liaison between business stakeholders and technical teams.
 </li>
 <li>
 Conduct workshops, demos, and training sessions for clients on Quantexa functionalities.
 </li>
 <li>
 
 Documentation &amp; Reporting
 
 </li>
 <li>
 Prepare detailed documentation for business processes, technical workflows, and solution architecture.
 </li>
 <li>
 Provide regular status updates and reports to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills
 
 
 <ul>
 <li>
 Strong experience as a
 
 Business Analyst
 
 in
 
 Quantexa implementations
 
 .
 </li>
 <li>
 In-depth knowledge of
 
 Quantexa technical concepts
 
 (Entity Resolution, Compounds, Records).
 </li>
 <li>
 Ability to map business requirements to Quantexa configuration and data models.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Experience working with
 
 data-driven projects
 
 in domains like
 
 financial crime, fraud detection, or risk analytics
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 
 Quantexa BA Certification
 
 </li>
 <li>
 Familiarity with
 
 data engineering concepts
 
 ,
 
 ETL processes
 
 , and
 
 cloud platforms
 
 (AWS/Azure/GCP).
 </li>
 <li>
 Exposure to
 
 graph analytics
 
 and
 
 data integration
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work in a fast-paced, client-facing environment.
 </li>
 <li>
 Excellent documentation and presentation skills.
 </li>
 </ul>
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you
 
 
 
</div>

Quantexa Business Analyst

Infosys

<div>
 <ul>
 <li>
 Primary skills: Agile Coach-&gt;Agile (Agile), Business Analyst, Insurance, Insurance-&gt; Fineos, Insurance-&gt;P&amp;C Business analyst , Insurance-&gt;Life Insurance , Group and Benefits
 
 
 </li>
 </ul>
 Masters Degree with Minimum 5 Years of Experience or Bachelor&rsquo;s degree or foreign equivalent with Minimum 7 Years of experience required.
 
 
 <ul>
 <li>
 Experience in the full System Development Life Cycle (SDLC) on a variety of technologies and platforms preferably in Property and Casualty and or Life Insurance
 </li>
 <li>
 5 -15 Years&rsquo; experience in one or more of the following skills in P&amp;C / Life Insurance domain -
 </li>
 <li>
 Scrum/Agile experience in a PO role or similar on an Agile Team environment.
 </li>
 <li>
 Excellent understanding of how to operate in an Agile Team setting.
 </li>
 <li>
 Strong collaboration skills
 </li>
 <li>
 Experience in Agile Poker, WSJF and similar Agile estimating tools.
 </li>
 <li>
 Successful track record of backlog refinement for a complex system implementation.
 </li>
 <li>
 Successful track record of quickly learning new complex systems.
 </li>
 <li>
 Practical knowledge of how to correctly assign story points.
 </li>
 <li>
 Demonstrated experience in User Story refinement.
 </li>
 <li>
 Proven record of minimal churning/re-work after Story is accepted by the PO.
 </li>
 <li>
 Familiarity with Good Documentation practices
 </li>
 <li>
 Must be able to translate business requirements into well-formed technical and system requirements
 </li>
 <li>
 Experience with modeling business processes, data flows, and workflow processes depicting relationships between Insurance data entities.
 </li>
 <li>
 Strong business consulting skills associated with complex IT system implementation spanning over 12-18 months.
 </li>
 <li>
 Strong oral &amp; written communication skills, Business stakeholder management
 </li>
 <li>
 Must have performed business requirement analysis, use case modeling from a business analysis/consulting standpoint.
 </li>
 <li>
 Experience and desire to work in a management consulting environment that requires regular travel Database/SQL experience/SQL expertise.
 </li>
 <li>
 Knowledge of ETL and Datawarehouse concepts and processes.
 </li>
 <li>
 Working exposure on policy and claims data migration.
 </li>
 <li>
 Prior experience working with tools like MicroStrategy, Tableau, and Qlik.
 </li>
 <li>
 Special combination of technical skill and business acumen, along with a high degree of confidence
 </li>
 </ul>
</div>

Insurance Consultant

PepsiCo

<div>
 
 Overview
 
 
 
 The purpose of this role is to lead and coordinate the forecasting analyst team for a specific BU to generate a sound driver-based forecast as starting point for the Demand Planning process within IBP by ensuring the right data is available for the IBP forecasting engine (PFE), executing the models that generate the forecast. The forecasting analyst roles will collaborate day to day with the Demand Planners to ensure the forecast is as per business needs and with the Data Scientists to continuously improve the forecasting engine and the data to improve the forecast accuracy. The forecasting analyst will work both on Mid-Term (monthly / 24 months) and Short-Term (weekly / 16-20 weeks) depending on the scope assigned within a BU
 
 
 The scope of this role covers a concrete BU and will have a dotted line reporting relationship with the BU IBP+DP Lead and a solid line with the Global Forecasting Lead
 
 
 This is a key role in IBP as Driver Based Forecast and the PFE are key components to enable the One Plan in the IBP/DP process
 
 
 
 Responsibilities
 
 
 
 Critical role in ownership, execution and improvement of the Driver Based Forecast
 
 
 <ul>
 <li>
 Lead and coordinate the team of forecasting analysts working for a specific BU while being directly responsible for part of the scope
 </li>
 <li>
 Be the main point of contact for BU Demand Planning Leads and Data Scientist working for that specific BU
 </li>
 <li>
 For Short-Term, Mid-Term and Demand Sensing Forecasting Models and all the required demand streams in the BU:
 </li>
 <ul>
 <li>
 Ensure all demand drivers are being captured in the driver-based forecast
 </li>
 <li>
 Reconcile data inputs to confirm that all volume driver data is complete and there are no gaps
 </li>
 <li>
 Ensure all the Master Data needed to activate, deactivate, sustitute DFUs in the Demand Planning systems and all associated lifecycles management activities at the different levels of the hierarchy are consistently executed. Manage the overall/ massive master data management.
 </li>
 <li>
 Ensure history corrections, outliers corrections and realignments needed to run the models are executed properly and manage events that apply to all BU and history realignments
 </li>
 <li>
 Ensure models run correctly and the output is complete and consistent
 </li>
 <li>
 Perform small adjustments in the forecasting engine parameters / data inputs to capture demand trends or patterns that are not well reflected based on own findings or feedback from the Demand Planners
 </li>
 <li>
 Measure and Report Forecasting KPIs
 </li>
 <li>
 Drive overall Forecast Continuous Improvements and Root Cause Analysis with the Demand Planners and perform the analysis on the modelling. Identify improvement areas and recommended actionsCollaborate with Demand Planners and Data Scientists to define an implement an improvement backlog on the models
 </li>
 <li>
 Support Data Science in the Experimentation, test and evaluation of the improvements and its validation with the Demand Planners before its implementation
 </li>
 </ul>
 <li>
 Drive segmentation calculations and review and validate with the demand planners for its implementation
 </li>
 <li>
 Leverage and share best practice which will impact on the wider PepsiCo ecosystem ensuring the best for PepsiCo and therefore enabling its Better, Stronger and Faster ambitions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Holder of both a Bachelor&rsquo;s and Master&rsquo; degree (preferably with studies in Business Administration, Engineering, Supply Chain, Finance). Having an MBA is a plus.
 </li>
 <li>
 Experience in generating accurate demand statistical forecast and in advanced forecasting models including Machine Learning algorithms at fast moving consumer goods including a collaborative planning, demand sensing, promotions planning, new product introduction planning, demand shaping and demand scenarios management
 </li>
 <li>
 Proficiency in Data Analysis and Insights. Ability to navigate across large amounts of data, understand the gaps, identify exception and extract insights to form conclusions and inform decisions, with strong analytical skills.
 </li>
 <li>
 High level of understanding on commercial activities and how they driver demand in FMCG and strong understanding of the demand planning and forecasting processes
 </li>
 <li>
 Ability to process and resolve complex issues, establish priorities and action plans
 </li>
 <li>
 8+ years experience in Demand planning or forecasting
 </li>
 <li>
 6+ years at a middle level in the FMCG industry
 </li>
 <li>
 Experience in managing and oraganizing teams
 </li>
 <li>
 Collaborative and team player
 </li>
 <li>
 Strong in both strategic and analytical thinking
 </li>
 <li>
 Strong in organizational skills and attention to detail
 </li>
 <li>
 Good business accument with results orientation
 </li>
 <li>
 Ability to generate consensus via strong network &amp; collaborations skills
 </li>
 <li>
 Fluent in English with Local Language (for Mus assigned &ndash; is a plus)
 </li>
 <li>
 Strong understanding of the IBP processes, demand planning and forecasting.
 </li>
 <li>
 Comfortable with process discipline and process adherence, but also able to identify and take opportunities to further develop and strengthen the process without compromising the end state
 </li>
 </ul>
</div>

Senior Manager - Supply Chain

Aptita

<div>
 
 Position: Data Analyst
 
 
 Location: Hyderabad
 
 
 Night shift.
 
 
 Walk in Drive interview is on 21st Feb 2026.
 
 
 
 
 
 - Salesforce operations and data hygiene
 
 
 - Strong soft skills: clear communication, positive energy, professionalism, responsiveness on Slack
 
 
 - WBR / RTBR support and opportunity data corrections
 
 
 - Ability to learn domain (Client GTM concepts) quickly and operate with curiosity
 
 
 - Regular data loads and frontline sales support
 
 
 - Basic SQL: run, edit, and slightly modify queries (base queries provided)
 
 
 
 
 
 - Comfortable creating/managing Salesforce ops cases and updating records (SFDC familiarity desirable)
 
 
 - Support Genesis on activation-metrics dashboards and minor edits (Hubble)
 
 
 - Attention to detail for data corrections and case-by-case validations
 
 
 - Prepare WBR/RTBR and biweekly 25-slide RTBR deck (every 2 weeks &mdash; ~2 days of work)
 
 
 - Ability to follow runbooks and perform repeatable operational tasks reliably
 
 
 - Build QBR/MBR data packs for activation &amp; realization as needed
 
 
 
 
 
 - Handle SFDC cases and hygiene: create cases, data corrections, and validate opportunity states
 
 
 
 
 
 - Run and deliver 2+ weekly data loads to SFDC (generate CSVs from queries; coordinate with central ops/data management team)
 
 
 
 
 
 - Respond to ~4&ndash;5 sales support / activation help desk cases daily via Slack
 
 
 
 
 
 - Execute ad-hoc reporting and write/edit standard SQL queries (base queries provided)
 
 
 
 
 
 - Maintain documentation, runbooks, and support knowledge transfer; escalate complex issues to senior analysts or Genesis
 
 
 
</div>

Data Analyst

Cognizant

<div>
 
 Job Summary
 
 
 
 The Data Analyst role involves leveraging analytical skills to transform data into actionable insights that drive business decisions. With a focus on Power BI EDA Alteryx MS Excel Python and SQL scripting the candidate will work in a hybrid model to support various departments in optimizing their strategies. The role requires a minimum of 4 years of experience and offers the opportunity to make a significant impact on the companys data-driven initiatives.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze complex datasets using Exploratory Data Analysis techniques to uncover trends and patterns that inform strategic decisions.
 </li>
 <li>
 Develop and maintain Power BI dashboards to visualize data insights and facilitate easy access to critical information for stakeholders.
 </li>
 <li>
 Utilize Alteryx for data preparation and blending to ensure data integrity and readiness for analysis.
 </li>
 <li>
 Implement advanced MS Excel functions to manipulate and analyze data efficiently providing detailed reports and summaries.
 </li>
 <li>
 Write and optimize SQL scripts to extract transform and load data from various sources ensuring seamless data flow.
 </li>
 <li>
 Apply Python programming skills to automate data processing tasks and enhance analytical capabilities.
 </li>
 <li>
 Collaborate with cross-functional teams to understand their data needs and provide tailored analytical solutions.
 </li>
 <li>
 Present findings and insights using MS PowerPoint to effectively communicate results to non-technical audiences.
 </li>
 <li>
 Ensure data accuracy and consistency by implementing rigorous validation and quality checks throughout the analysis process.
 </li>
 <li>
 Stay updated with the latest industry trends and technologies to continuously improve analytical methodologies.
 </li>
 <li>
 Support the development of data-driven strategies that align with the companys objectives and enhance overall performance.
 </li>
 <li>
 Provide training and guidance to junior analysts to foster a culture of continuous learning and improvement.
 </li>
 <li>
 Contribute to the companys mission by delivering insights that drive innovation and societal impact. Qualifications
 </li>
 <li>
 Possess strong analytical skills and experience in Power BI EDA Alteryx MS Excel Python and SQL scripting.
 </li>
 <li>
 Demonstrate proficiency in creating compelling data visualizations and dashboards using Power BI.
 </li>
 <li>
 Exhibit expertise in data preparation and blending techniques with Alteryx.
 </li>
 <li>
 Showcase advanced knowledge of MS Excel functions for data manipulation and analysis.
 </li>
 <li>
 Have a solid understanding of SQL scripting for efficient data extraction and transformation.
 </li>
 <li>
 Display competence in Python programming for automating data processes.
 </li>
 <li>
 Communicate effectively with stakeholders through clear and concise presentations using MS PowerPoint.
 </li>
 <li>
 Maintain a proactive approach to learning and adapting to new technologies and methodologies.
 </li>
 </ul>
</div>

<div>
 
 Overview
 
 
 
 Execute SAP master data setups for GCC globally lead location, ensuring accurate and timely delivery to support Innovations, Reformulations, Productivity, BCP and Transformation initiatives. Work from prioritised task lists and SLAs to deliver Right First Time outcomes, maintain process documentation, and log and manage escalations. Support process improvements and automation efforts, contribute to training materials, and collaborate with cross functional stakeholders to resolve issues and ensure alignment. Operate under direction of senior team members and help build team capability through knowledge sharing.
 
 
 
 Responsibilities
 
 
 
 Primary accountabilities &mdash; Registration &amp; Dependent Objects Analyst:
 
 
 <ul>
 <li>
 Execute accurate, timely SAP setups in SAP MDG, SAP ECC and other related mater data tools
 </li>
 <li>
 Complete standard and expedited requests across Innovations, Reformulations, BCP, Productivity and sustain projects to agreed SLAs.
 </li>
 <li>
 Validate input data, reconcile postings, and ensure registrations meet market regulatory requirements and product specifications.
 </li>
 <li>
 Analyse formula/product changes to assess impacts on SKUs, labels and downstream processes; raise and action required updates.
 </li>
 <li>
 Log, investigate and escalate registration issues; support root cause analysis and implement corrective actions with MDG sustain, IT and cross functional teams.
 </li>
 <li>
 Support MDG adoption and continuous improvement by following and contributing to documented processes, job aids and automation initiatives.
 </li>
 <li>
 Prepare and maintain registration documentation, update KPIs, and provide regular status updates at daily connects and in status reports.
 </li>
 <li>
 Assist in training activities and help develop super user capability under guidance from senior team members.
 </li>
 <li>
 Collaborate with stakeholders (RA, Commercialisation, Customer Services, Finance, Procurement, Productivity, BCP, GPL) to clarify requirements and progress actions.
 </li>
 <li>
 Adhere to PepsiCo Health &amp; Safety policies and all GCS standards
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English
 </li>
 <li>
 Third level qualification
 </li>
 <li>
 3-5 years relevant experience, preferably in a multionational environment
 </li>
 <li>
 A proven ability to achieve deadline and balance priorities
 </li>
 <li>
 Excellent attention to detail and &lsquo;right first time&rsquo; approach to work
 </li>
 <li>
 Advanced excel skills
 </li>
 <li>
 Logical and analytical with a track record of creating innovative solutions
 </li>
 <li>
 Excellent communication skills with proven ability to communicate effectively across functions and to all levels of the business
 </li>
 <li>
 Team player / excellent interpersonal skills
 </li>
 <li>
 Ability to multitask and operate in a high paced environment
 </li>
 <li>
 Third level qualification
 </li>
 <li>
 SAP Experience
 </li>
 <li>
 Process mapping
 </li>
 <li>
 Experience in a multi-national environment
 </li>
 <li>
 Curiosity for learning
 </li>
 <li>
 Customer focussed
 </li>
 </ul>
</div>

Deputy Manager - Supply Chain

Explore 91+ Remote data analyst 60736 in Jobs In Hyderabad this March. Find roles across top companies and apply now to boost your career.

91 remote data analyst 60736 jobs In Jobs In Hyderabad

Remote Data Analyst - 60736

Quantexa Business Analyst

Insurance Consultant

Senior Manager - Supply Chain

Data Analyst

Data Analyst

Deputy Manager - Supply Chain