business analyst

data analyst

data scientist

data analyst l4

data analyst, legal analytics Jobs in Mangaluru

data analyst, legal analytics

data analytics analyst

Hotwire Asia Pacific

<div>
 
 
 Who we are
 
 
 
 
 Hotwire delivers cutting-edge marketing solutions exclusively for technology and telecom companies across the globe. We&rsquo;re seeking a curious and data-driven individual to join our dynamic team as a&nbsp;
 
 
 Data &amp; Analytics Analyst
 
 
 . In this role, you&rsquo;ll help uncover actionable insights that drive business value and support strategic decision-making for our growing client base.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 Hotwire Global is seeking a Data &amp; Analytics Analyst to play a key role in contributing to and developing the fastest-growing area of our global business. As part of our data and analytics practice, the analyst will execute reporting and data visualization projects to support the global team deliver actionable insights and demonstrate the impact of our client work.
 
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 
 Execute digital, media and audience analysis, and measurement assignments with limited supervision
 
 </li>
 </ul>
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Think strategically and have the ability to tell a story with data
 
 
 <ul>
 <li>
 
 Develop measurement dashboards, reports and presentations, for use across our client portfolio
 
 </li>
 <li>
 
 Monitor and report on key performance metrics, identifying trends and providing insights that offer opportunities to improve marketing and communications strategies and campaigns
 
 </li>
 <li>
 
 Partner with a variety of stakeholders within the agency, primarily located within Europe and the US, to deliver comprehensive, accurate reports, data-driven insights, and drive strategic business implications that push our clients to think differently and deliver strong results
 
 </li>
 </ul>
 
 
 
 
 
 Your Experience and Qualifications
 
 
 <ul>
 <li>
 
 5+ years&rsquo; experience in digital and media measurement and analytics. Agency experience preferred
 
 </li>
 <li>
 
 An expert at working with and creating dashboards that integrate multiple data sources to tell stories and effectively demonstrate the impact of programs back to clients
 
 </li>
 <li>
 
 Highly familiar with performance marketing metrics and conversion data across Paid, Earned, Social and owned media
 
 </li>
 <li>
 
 Expertise in using business intelligence tools including Looker Studio, Tableau, Cision, Google Analytics and others
 
 </li>
 <li>
 
 Experience working with cross-functional global teams
 
 </li>
 <li>
 
 Time management skills and the ability to juggle multiple deliverables and timelines at once
 
 </li>
 <li>
 
 Must be able to quickly learn new tools and databases
 
 </li>
 <li>
 
 Skilled data storyteller, able to make the complex simple to understand and provide actionable insights
 
 </li>
 <li>
 
 Track record of working across multiple projects and successfully promoting the impact and value of measurement and analytics
 
 </li>
 </ul>
 
 
 
</div>

Analyst, Data & Analytics

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

Philips

<div>
 Job Title
 
 
 Data Analyst
 
 
 
 Job Description
 
 
 
 
 JOB TITLE: Data Analyst
 
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Handles analysis of complex datasets using SQL, Databricks, statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
 </li>
 <li>
 Creates data visualizations , utilizing tools like PowerBI, Qlik, Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
 </li>
 <li>
 Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.
 </li>
 <li>
 Ability to deliver large programs, vendor management experience in addition to project management.
 </li>
 <li>
 Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
 </li>
 <li>
 Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
 </li>
 <li>
 Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives.
 </li>
 <li>
 Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
 </li>
 <li>
 Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations.
 </li>
 <li>
 Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement.
 </li>
 <li>
 Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.
 </li>
 <li>
 Able to seamlessly take up role of operations as desired.
 
 
 </li>
 </ul>
 
 Minimum Required Education
 
 
 
 Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
 
 
 
 Minimum Required Experience
 
 
 
 Minimum 8 years of experience with Bachelor's in areas such as Computer Science , Data Analytics, Data Modeling or equivalent OR no prior experience required with Master's Degree.
 
 
 
 Minimum Required Certification
 
 
 
 Having Data Science and Gen AI certifications is desirable .
 
 
 
 Preferred Experience
 
 
 
 minimum 8 years in Data engineering, 2 years in data science and gen AI technologies
 
 
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Interpretation
 </li>
 <li>
 Data Harmonization &amp; Processing
 </li>
 <li>
 Data Modeling
 </li>
 <li>
 Data Quality Assurance
 </li>
 <li>
 Statistical Methods
 </li>
 <li>
 Statistical Programming Software
 </li>
 <li>
 Business Intelligence Tools
 </li>
 <li>
 Data Mining
 </li>
 <li>
 Machine Learning Engineering Fundamentals
 </li>
 <li>
 Research &amp; Analysis
 </li>
 <li>
 Structured Query Language (SQL)
 </li>
 <li>
 Regulatory Compliance
 </li>
 <li>
 Gen AI
 
 
 </li>
 </ul>
 
 How We Work Together
 
 
 
 We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
 
 
 Onsite roles require full-time presence in the company&rsquo;s facilities.
 
 
 Field roles are most effectively done outside of the company&rsquo;s main facilities, generally at the customers&rsquo; or suppliers&rsquo; locations.
 
 
 Indicate if this role is an office/field/onsite role.
 
 
 
 About Philips
 
 
 
 We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
 
 
 <ul>
 <li>
 Learn more about our business.
 </li>
 <li>
 Discover our rich and exciting history.
 </li>
 <li>
 Learn more about our purpose.
 
 
 </li>
 </ul>
 If you&rsquo;re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
</div>

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

VEGROW

<div>
 
 
 About Vegrow:
 
 
 
 Vegrow is on a mission to revolutionize the $60B fresh fruit market! We&rsquo;re a fast-growing, VC-backed agri-tech startup founded by IIT alumni who&rsquo;ve built and scaled with companies like ITC, AgroStar, UrbanCompany, and Chronus. We partner with farmers, aggregate supply, and connect them directly to organized demand through tech-led solutions &mdash; driving efficiency, transparency, and profitability across the fruit value chain.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to join our
 
 Business Finance
 
 team &mdash; someone who loves diving deep into data, connecting dots, and converting numbers into business impact.
 
 
 This isn&rsquo;t a &ldquo;get a request &rarr; build a report&rdquo; role. We want someone who can
 
 think independently
 
 ,
 
 spot opportunities
 
 , and
 
 add value proactively
 
 by working shoulder-to-shoulder with the Business and BizFin teams.
 
 
 If you love solving open-ended problems and using data to tell stories that move the business forward &mdash; we want you!
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Work closely with Business &amp; BizFin teams to drive data-backed decisions.
 </li>
 <li>
 Build and maintain dashboards and reports that actually make an impact.
 </li>
 <li>
 Proactively explore data to uncover insights, trends, and hidden opportunities.
 </li>
 <li>
 Translate business questions into analytical models and crisp insights.
 </li>
 <li>
 Handle ad-hoc analyses with accuracy, speed, and attention to detail.
 </li>
 <li>
 Ensure data sanity, consistency, and integrity across all reporting layers.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 0&ndash;4 years of experience in data analytics or business analytics.
 </li>
 <li>
 Strong SQL skills (you should be able to write and optimize complex queries).
 </li>
 <li>
 Excellent Excel skills and experience with at least one BI tool (Tableau, Power BI, Looker Studio, etc.).
 </li>
 <li>
 Experience with Python or another scripting language for automation or data manipulation.
 </li>
 <li>
 Sharp analytical mindset, curiosity to explore, and the ability to simplify complex data stories.
 </li>
 <li>
 Great communication skills &mdash; you can make insights simple, visual, and actionable.
 </li>
 <li>
 Self-starter attitude &mdash; someone who figures things out, not just waits for instructions.
 </li>
 </ul>
 
 
 
 
 
 Cherry on Top
 
 
 <ul>
 <li>
 Experience with
 
 Zoho Analytics
 
 and/or
 
 Anaplan
 
 .
 </li>
 <li>
 Prior exposure to
 
 Business Finance / FP&amp;A
 
 setups.
 </li>
 <li>
 Comfort working in
 
 fast-paced, high-growth startup environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 Join us if you&rsquo;re excited to make data a competitive advantage at Vegrow &mdash; and grow your career while helping us grow India&rsquo;s fruit economy.
 
 
</div>

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Job Title:
 
 Data Analyst, Legal Analytics
 
 
 
 Reports to:
 
 Sr. Analyst, Legal Analytics, Data Governance_NA
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Primary Responsibilities
 
 
 
 Responsibilities include:
 
 
 <ul>
 <li>
 Main responsibility is supporting various Legal teams including Litigation, Government Relations, Criminal and Regulatory Investigations (CRI), etc. Responsibilities include running analytical projects, developing dashboards and ad-hoc queries and handling existing recurring reporting/dashboards which set the foundation for analytics and business insights used by the team and business partners.
 </li>
 <li>
 Apply your SQL coding technical expertise to discover, extract and validate data from various data sources and build actionable reports and analysis.
 </li>
 <li>
 Update and maintain SQL codes to conform to organization changes, deprecation schedules, and new developments.
 </li>
 <li>
 Demonstrated ability to work with large and varied data sources to make reporting and analysis reliable and efficient.
 </li>
 <li>
 Develop and improve Python scripts as needed for data processing, data cleaning, and data extraction.
 </li>
 <li>
 Build and improve Tableau dashboards or excel reports, whichever is appropriate and suits the requestors.
 </li>
 <li>
 Deliver high-impact, data-driven insights, recommendations, and metrics to eBay&rsquo;s Legal teams.
 </li>
 <li>
 Effectively communicate results to Legal partners and multi-functional groups.
 </li>
 <li>
 Collaborate with eBay&rsquo;s Policy, Rules, and partner Analytics teams globally to ensure alignment on metrics and analytical methodologies and to minimize duplication of efforts.
 
 
 
 </li>
 </ul>
 
 Characteristics
 
 
 
 <ul>
 <li>
 Excellent business judgment, analytical and problem-solving skills, and experience applying these skills to analyze large, sophisticated, multifaceted data sets.
 </li>
 <li>
 Good understanding of methods used to define and analyze data requirements needed to support the business and statistical analysis.
 </li>
 <li>
 Proven team player and consensus builder with proficient communication and coordination skills.
 </li>
 <li>
 Team member with good interpersonal abilities in a multi-cultural setting, self-assurance, positive outlook, and good decision-making.
 </li>
 <li>
 Clear passion for eBay&rsquo;s mission and business objectives.
 </li>
 <li>
 Ability to multi-task and prioritize work in a fast-paced and constantly evolving environment
 </li>
 <li>
 Mental flexibility, including ability to dive very deep into details of the data to ensure quality, while understanding the big picture objectives of a given project.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Experiences
 
 
 
 <ul>
 <li>
 5+ years related experience in Computer Science/Analytics/Consulting, (Master&rsquo;s degree preferred).
 </li>
 <li>
 Must have a demonstrable understanding of database / data modeling tools and concepts. Experience with database development and data warehousing concept/tools are required.
 </li>
 <li>
 Strong SQL skills (on Hive/SPARK environment) for querying and maintaining databases.
 </li>
 <li>
 Expert Excel (e.g., look-up functions, pivot tables, sophisticated functions, statistics).
 </li>
 <li>
 Experience with Tableau required.
 </li>
 <li>
 Python programming experience preferred.
 </li>
 <li>
 HADOOP experience will be advantageous.
 </li>
 <li>
 Experience with analyzing customer data in financial services, Internet, or top-tier consumer-focused company (in technology, consumer goods or retail domain) a plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Analyst, Legal Analytics

Explore 577+ Data analytics analyst in Mangaluru this December. Find roles across top companies and apply now to boost your career.

577 data analytics analyst jobs IN Mangaluru

Analyst, Data & Analytics

Data Analyst

Data Analyst

Data Analyst - First Data Hire

Data Analyst

Data Analyst, Legal Analytics

Data Analyst, Legal Analytics