data analyst

data scientist

data engineer

data analyst l4

data analyst, legal analytics Jobs in Mangaluru India

data analyst, legal analytics

data analyst first data hire

Mem0

<div>
 Mem0 is at the forefront of building the memory layer for AI agents, enabling artificial intelligence to remember conversations, learn from interactions, and build context over time. Already powering millions of AI interactions, the company is well-capitalized and backed by top-tier investors.
 
 
 As our first Data Analyst, you'll be responsible for building the data infrastructure and analytics foundation from scratch. You'll establish how we measure product performance, track key business metrics, and translate data into actionable insights that drive decision-making across the entire organization. This role requires expertise in SQL, data modeling, product analytics, and a unique ability to wear multiple hats&mdash;from data engineering to business intelligence to analytics tooling.
 
 
 The position demands a blend of technical depth and business acumen. You'll own the full spectrum of analytics: designing data pipelines from multiple sources (Postgres, PostHog, LLM outputs, and third-party APIs), building automated dashboards and reports, creating self-service analytics tools for stakeholders, and diving deep into data to uncover insights that inform product direction and business strategy. You'll work closely with Product, Engineering, and Leadership to define metrics that matter, establish measurement frameworks, and ship internal tools that scale with our growth.
 
 
 The role is based in Bangalore, India. Mem0's culture values extreme ownership, high trust, and data-driven decision-making. Team members are encouraged to take initiative and solve problems independently, while maintaining high standards for rigor and craftsmanship.
 
 
 
 What You'll Do
 
 
 
 Data Infrastructure &amp; Pipelines
 
 
 <ul>
 <li>
 Build and maintain reliable data pipelines that consolidate information from Postgres databases, PostHog product analytics, LLM outputs, and external APIs into a unified data warehouse
 </li>
 <li>
 Design data models and establish schemas that scale with our product and business needs
 </li>
 <li>
 Implement data quality monitoring and validation processes to ensure accuracy and reliability
 </li>
 <li>
 Set up automated ETL workflows and establish best practices for data collection and storage
 
 
 </li>
 </ul>
 Analytics &amp; Insights
 
 
 <ul>
 <li>
 Define and track key business and product metrics that measure our success (retention, usage, monetization, feature adoption, and more)
 </li>
 <li>
 Build automated dashboards and reports for daily, weekly, and monthly business reviews
 </li>
 <li>
 Conduct deep-dive analysis to surface trends, identify opportunities, and provide recommendations that influence product and business decisions
 </li>
 <li>
 Support experimentation and A/B testing initiatives with analytical rigor and evaluation frameworks
 </li>
 <li>
 Answer urgent, ad-hoc data questions from any part of the organization with speed and accuracy
 
 
 </li>
 </ul>
 Internal Tooling &amp; Self-Service
 
 
 <ul>
 <li>
 Develop internal tools and dashboards that enable non-technical stakeholders to access data independently
 </li>
 <li>
 Create standardized reporting templates and processes that reduce repetitive requests
 </li>
 <li>
 Build documentation and data definitions that keep the entire organization aligned on metrics and methodology
 </li>
 <li>
 Train and support team members across the company on how to interpret and use data effectively
 
 
 </li>
 </ul>
 Cross-Functional Partnership
 
 
 <ul>
 <li>
 Partner with Product to establish measurement frameworks and define success metrics for new features
 </li>
 <li>
 Work with Engineering to ensure data collection is robust and metrics are accurate
 </li>
 <li>
 Support Leadership and Go-to-Market teams with investor-ready analytics and strategic insights
 </li>
 <li>
 Collaborate with Research on evaluation frameworks and hypotheses testing for memory and retrieval innovations
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Expert-level SQL skills with strong experience in PostgreSQL or similar relational databases
 </li>
 <li>
 Proficiency in Python for data analysis, automation, and building data pipelines
 </li>
 <li>
 Hands-on experience with product analytics platforms (PostHog, Mixpanel, Amplitude, or similar)
 </li>
 <li>
 Proficiency with data visualization and BI tools (Tableau, Looker, Metabase, or similar)
 </li>
 <li>
 Understanding of API integrations, data extraction, and ETL concepts
 </li>
 <li>
 Familiarity with cloud platforms and modern data warehousing solutions
 
 
 </li>
 </ul>
 Experience &amp; Background
 
 
 <ul>
 <li>
 1-3 years of experience at growth-stage startups in data analysis, analytics engineering, or related roles
 </li>
 <li>
 Prior experience as a first data hire or building analytics infrastructure from the ground up is strongly preferred
 </li>
 <li>
 Demonstrated ability to work with diverse, unstructured data sources and complex data environments
 </li>
 <li>
 Understanding of product development cycles and the ability to think like a builder, not just an analyst
 </li>
 <li>
 Track record of moving fast and iterating in resource-constrained environments
 
 
 </li>
 </ul>
 Mindset &amp; Collaboration
 
 
 <ul>
 <li>
 Business acumen&mdash;you understand what insights actually matter and can translate data into actionable recommendations
 </li>
 <li>
 Excellent communication skills; you can explain complex findings to both technical and non-technical stakeholders
 </li>
 <li>
 Self-directed and comfortable navigating ambiguity; you identify problems and drive solutions independently
 </li>
 <li>
 Adaptability and willingness to shift priorities and learn new tools as the company evolves
 </li>
 <li>
 High ownership mentality; you care deeply about the quality and impact of your work
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LLM data analysis, AI/ML workflows, or working with model outputs
 </li>
 <li>
 Background in product management or strong intuition for product thinking
 </li>
 <li>
 Knowledge of privacy-preserving data practices and data governance
 </li>
 <li>
 Experience building evaluation frameworks for complex systems
 </li>
 <li>
 Familiarity with experimentation platforms and statistical testing methodologies
 
 
 </li>
 </ul>
 This position offers competitive compensation with equity, reflecting the high-impact nature of the role. If you're passionate about data, excited to build from scratch, and want to shape how a cutting-edge AI company measures and understands its impact, this role at Mem0 could be your next opportunity.
 
 
</div>

Data Analyst - First Data Hire

Amazon

<div>
 
 Description
 
 
 
 We are seeking an experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of the business.
 
 
 The candidate should have experience working with large scale data, building deep dive reports, dynamic visualizations and dashboards for end-user consumption. Moreover, the candidate should have the ability in using advance excel, knowledge about some scripting language and statistics, to drive complex insights and analyses. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
 </li>
 <li>
 Identifying the data quality issues across the various platforms at Amazon
 </li>
 <li>
 Extracting and combining data from various heterogeneous data sources
 </li>
 <li>
 Design and build data visualization tools to provide scalable solution for self-service metrics reporting
 </li>
 <li>
 Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
 </li>
 <li>
 Propose and implement new business metrics for senior management reviews and work with the business intelligence engineer to design and develop data infrastructure to support these metrics for business growth
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of tax, finance or a related analytical field experience
 </li>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience with SQL or ETL
 </li>
 <li>
 Experience with data visualization using Tableau, Quicksight, or similar tools
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with data visualization tools (like Tableau) and scripting languages (like R and Python)
 </li>
 <li>
 Experience with AWS services including S3, Redshift, EMR and RDS
 </li>
 <li>
 Knowledge of a scripting language (Python, R, etc.)
 
 
 </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
 
 - ADCI - Karnataka
 
 
 Job ID: A3131320
</div>

Business Analyst I

<div>
 
 Description
 
 
 
 We are seeking an experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of the business.
 
 
 The candidate should have experience working with large scale data, building deep dive reports, dynamic visualizations and dashboards for end-user consumption. Moreover, the candidate should have the ability in using advance excel, knowledge about some scripting language and statistics, to drive complex insights and analyses. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
 </li>
 <li>
 Identifying the data quality issues across the various platforms at Amazon
 </li>
 <li>
 Extracting and combining data from various heterogeneous data sources
 </li>
 <li>
 Design and build data visualization tools to provide scalable solution for self-service metrics reporting
 </li>
 <li>
 Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
 </li>
 <li>
 Propose and implement new business metrics for senior management reviews and work with the business intelligence engineer to design and develop data infrastructure to support these metrics for business growth
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of tax, finance or a related analytical field experience
 </li>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Experience with SQL
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AWS services including S3, Redshift, EMR and RDS
 </li>
 <li>
 Knowledge of a scripting language (Python, R, etc.)
 
 
 </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
 
 - ADCI - Karnataka
 
 
 Job ID: A3131324
</div>

Instamart

<div>
 
 Ways of Working
 
 : Working from Swiggy HO, Bengaluru .
 
 
 
 About Swiggy
 
 
 
 Swiggy is India&rsquo;s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.
 
 
 From starting out as a hyperlocal food delivery service in 2014, to becoming India&rsquo;s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees.
 
 
 
 Job Title
 
 : Analyst - Finance
 
 
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Strong understanding of Accounts Receivable processes, including invoice and revenue recording, collections, and reconciliations.
 </li>
 <li>
 Ability to prepare regular AR aging reports and similar AR-related reports.
 </li>
 <li>
 Ability to support in the MIS closing activities.
 </li>
 <li>
 Assist in audit closing by ensuring the timely availability of required documentation and data accuracy.
 </li>
 <li>
 Basic accounting knowledge, including principles of bookkeeping, journal entries, and financial statements.
 </li>
 <li>
 Ensure compliance with internal controls, accounting policies, and tax norms (e.g., GST, TDS).
 </li>
 <li>
 Proficiency in using Excel, Zoho/ERP systems for accounting.
 </li>
 <li>
 Good communication skills to interact effectively with internal teams, customers,and auditors.
 
 
 </li>
 </ul>
 "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, disability status, or any other characteristic protected by the law"
</div>

Analyst - Finance

<div>
 
 Description
 
 
 
 About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company &amp; to build a place where people can come to find and discover anything they might want to buy online.
 
 
 About the role: Amazon's Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Financial Analyst for EU Seller Services Finance team. The candidate would be responsible for financial close and performing related reporting, accruals etc. Additionally, the role would support monthly P&amp;L analysis, perform financial reporting and forecasts, use financial systems and advanced MS Excel functions to work with large data sets, and perform headcount reporting, planning and forecasting. Additional responsibilities would include establishing, measuring and monitoring weekly KPI metric discussions for new and/or existing business initiatives and operational performance and assisting in measuring and reporting progress on key goals for the business team in a timely and accurate manner. The candidate would also perform ad-hoc business analyses and financial modeling, provide inputs for monthly and quarterly business reviews in a timely manner, facilitate business reviews with data analysis, identify and implement solutions to resolve, improve, automate, standardize, or simplify finance processes, and identify incomplete or inaccurate data, root cause of data issues, escalate discrepancies, fix data where possible or partner to deliver a solution.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience using data to influence business decisions
 </li>
 <li>
 CA fresher / 1+ years of experience in FP&amp;A, closing of Books of accounts and reporting &amp; analytics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in managing, evaluating, analyzing data quickly and creating meaningful business reporting.
 </li>
 <li>
 Good financial acumen with problem-solving and decision-making skills.
 </li>
 <li>
 Manage competing priorities and meet deadlines.
 </li>
 <li>
 Good interpersonal skills &mdash; including written and oral communication skills.
 </li>
 <li>
 Advanced proficiency in Excel.
 </li>
 <li>
 Retail industry experience.
 </li>
 <li>
 Experience in VBA, COGNOS and SQL is a plus.
 
 
 </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
 
 - ADCI - Karnataka
 
 
 Job ID: A3133245
</div>

Financial Analyst, GFS FP&A

Swiggy

<div>
 
 Ways of Working
 
 - Employees will work from the office in hybrid mode (Bangalore).
 
 
 
 About Swiggy
 
 
 
 Swiggy is India&rsquo;s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.
 
 
 From starting out as a hyperlocal food delivery service in 2014, to becoming India&rsquo;s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees.
 
 
 
 Role Purpose
 
 
 
 The ESG Analyst will play a critical role in supporting Swiggy&rsquo;s ESG (Environmental, Social &amp; Governance) reporting and data management agenda. The role is designed to strengthen internal ESG capabilities, reduce reliance on external consultants, and ensure high-quality, timely, and accurate reporting aligned with SEBI, BRSR, GRI, and global standards.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Management &amp; Reporting
 </li>
 <li>
 Collect, validate, and analyze ESG data across business functions (Scootsy + Swiggy).
 </li>
 <li>
 Prepare inputs for annual BRSR, ESG ratings submissions (MSCI, DJSI, Sustainalytics, etc.), and investor queries.
 </li>
 <li>
 Ensure accuracy, completeness, and audit readiness of ESG disclosures.
 </li>
 <li>
 Enable value chain reporting and digitize ESG data management
 </li>
 <li>
 Compliance &amp; Assurance
 </li>
 <li>
 Track SEBI, MCA, and other regulatory requirements on ESG/BRSR and ensure compliance.
 </li>
 <li>
 Establish assurance ready systems and processes across Swiggy&rsquo;s ecosystem.
 </li>
 <li>
 Support external assurance processes by coordinating with internal teams and auditors.
 </li>
 <li>
 Maintain documentation and evidence for ESG disclosures.
 </li>
 <li>
 Cross-Functional Collaboration
 </li>
 <li>
 Liaise with Finance, HR, Operations, Legal, and other functions to ensure timely data collection.
 </li>
 <li>
 Act as a point of contact for ESG data owners and support SPOCs in adhering to timelines.
 </li>
 <li>
 Sustainability Strategy &amp; Projects
 </li>
 <li>
 Support the design and execution of ESG initiatives and projects (climate action, diversity &amp; inclusion, community engagement, etc.).
 </li>
 <li>
 Assist in preparing decks, reports, and updates for leadership, investors, and board committees.
 </li>
 <li>
 Analytics &amp; Insights
 </li>
 <li>
 Monitor peer and industry ESG performance to identify gaps and opportunities.
 </li>
 <li>
 Generate insights to strengthen Swiggy&rsquo;s ESG positioning.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Education: MBA, or Master&rsquo;s in Economics, Statistics, or Finance.
 </li>
 <li>
 Experience: 1&ndash;5 years in ESG reporting, compliance, statutory audit, or sustainability data management.
 </li>
 <li>
 Strong analytical, data management, and reporting skills.
 </li>
 <li>
 Familiarity with ESG frameworks (BRSR, GRI, SASB, TCFD, etc.).
 </li>
 <li>
 Excellent communication and stakeholder management abilities.
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Strong attention to detail and accuracy in data handling.
 </li>
 <li>
 Ability to work across diverse teams and drive alignment.
 </li>
 <li>
 Project management skills to manage multiple deliverables under tight timelines.
 </li>
 <li>
 Proactive, ownership-driven, with a strong commitment to sustainability and compliance.
 
 
 </li>
 </ul>
 ﻿﻿
 
 
 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law.
</div>

Analyst - ESG

Chevron

<div>
 
 About The Position
 
 
 
 A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
 
 
 The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
 </li>
 <li>
 Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
 </li>
 <li>
 Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
 </li>
 <li>
 Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
 </li>
 <li>
 Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
 </li>
 <li>
 Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
 </li>
 <li>
 Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
 </li>
 <li>
 0-5 years experience
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
 </li>
 <li>
 Strong skills in data manipulation and transformation using SQL.
 </li>
 <li>
 Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI, Spotfire, Tableau. Data modeling techniques, data fluency and governance.
 </li>
 <li>
 Proficiency in Oil &amp; gas workflows and data types
 </li>
 <li>
 Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
 </li>
 <li>
 Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
 </li>
 <li>
 Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal &amp; external parties) across global teams and time zones.
 </li>
 <li>
 Strong knowledge of Microsoft Azure Services &amp; Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience with SQL and data querying languages.
 </li>
 <li>
 Experience with Python for data wrangling.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and accuracy
 </li>
 <li>
 Fundamental knowledge of Information Risk Management (IRM).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft Power BI Data Analyst certification (PL-300)
 </li>
 <li>
 Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
 </li>
 <li>
 Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
 </li>
 <li>
 Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
 </li>
 <li>
 Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
 </li>
 <li>
 Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00AM to 5:00PM or 1:30PM to 10:30PM.
</div>

Data Analyst

Explore 640+ Data analyst first data hire in Mangaluru India this December. Find roles across top companies and apply now to boost your career.

640 data analyst first data hire jobs IN Mangaluru India

Data Analyst - First Data Hire

Business Analyst I

Business Analyst I

Analyst - Finance

Financial Analyst, GFS FP&A

Analyst - ESG

Data Analyst