business analyst

data analyst

analyst

analyst - finance

business analyst i

analytics analyst

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
 <li>
 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
</div>

Data Scientist

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

Tata Consultancy Services

<div>
 
 Role -
 
 Data Analyst
 
 
 
 
 
 
 Location -
 
 Bangalore
 
 
 
 
 
 
 Experience range -
 
 6+
 
 
 
 
 
 
 Required Technical Skill Set -
 
 Visualization and Reporting Tools (e.g., PowerBI, Tableau), good data analytics and better communication skills
 
 
 
 
</div>

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>

Goldman Sachs

<div>
 
 Job Description
 
 
 
 
 About Goldman Sachs
 
 
 
 The Goldman Sachs Group is a bank holding company and a leading global investment banking, securities and investment management firm. Goldman Sachs provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.
 
 
 
 Business Unit Overview
 
 
 
 Goldman Sachs Services Private Limited in Bengaluru is seeking an analyst to support the Loan Management function within the Global Banking &amp; Markets (GBM) Public Division. The Loan Management function supports the Mortgages and Structured Products business for GBM Public that transacts in loans, derivatives, and securities across various mortgage related products. The Data Analytics team in Loan Management is responsible for standardizing and controlling all data flows with respect to mortgage trading and lending products owned by the firm.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Management and oversight of trading and lending data for Mortgages and Structured Products, including data pipelines and database management, validation, and quality control
 </li>
 <li>
 Process and workflow automation to eliminate redundancies, reduce manual interventions and improve efficiency for the firm&rsquo;s trading and lending platforms
 </li>
 <li>
 Develop strategic reporting for trading desks and asset management across relevant products and asset classes
 </li>
 <li>
 Ensure end-to-end flow, accuracy, and completeness of data by partnering with Trading Desks, Asset Management, Engineering and Strats to understand business requirements and define strategic data models and systems
 </li>
 <li>
 Liaise with Controllers, Compliance, Risk and other divisions for regulatory and business important reporting through automated toolkits
 </li>
 <li>
 Translate business requirements into tangible solution specifications and high quality, on time deliverables
 </li>
 <li>
 Manage project timelines and completions for committed analytics, automation and reporting
 </li>
 <li>
 Reconcile data discrepancies and perform data reconciliations between external vendors and internal databases through analytics and research
 
 
 </li>
 </ul>
 
 Skills / Experience
 
 
 
 <ul>
 <li>
 1-3 years of experience in data analysis, data modeling, RDBMS databases and ETL
 </li>
 <li>
 Strong academic background &ndash; 4-year related engineering background with a minimum 3.0 GPA
 
 
 </li>
 </ul>
 equivalent.
 
 
 <ul>
 <li>
 Experience with at least one programming language such as Java, Python etc. preferred.
 </li>
 <li>
 Proficient in SQL and / or interacting with structured data
 </li>
 <li>
 Understanding of in industry standard data transformation and reporting tools such as Tableau,
 
 
 </li>
 </ul>
 Qlikview, QlikSense, Alteryx, RapidMiner etc.
 
 
 <ul>
 <li>
 Solid analytical/logical mindset and attention to detail
 </li>
 <li>
 Strong communication skills (clear, concise, and confident) with the ability to manage internal and
 
 
 </li>
 </ul>
 external relationships.
 
 
 <ul>
 <li>
 Team-oriented with a strong sense of ownership and accountability
 </li>
 <li>
 Must know or be able to learn Excel to an advanced level
 </li>
 <li>
 Ability to prioritize workload, and work with Technology to help drive data smart solutions
 
 
 </li>
 </ul>
 
 Good to have
 
 
 
 <ul>
 <li>
 Knowledge and/or experience with Machine Learning preferred
 </li>
 <li>
 Understanding of databases, data models, and Extraction Transformation Load (ETL) processes
 
 
 </li>
 </ul>
 preferred.
 
 
 <ul>
 <li>
 Mortgage banking or other financial industry experience
 </li>
 <li>
 Understanding of structured finance, collateralized lending, fixed income, or related finance
 
 
 </li>
 </ul>
 modeling concepts
 
 
 
 About Goldman Sachs
 
 
 
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 
 
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
 
 &copy; The Goldman Sachs Group, Inc., 2024. All rights reserved.
 
 
 Goldman Sachs is an equal employment/affirmative action employer
</div>

GBM - Public Dept-Bengaluru-Analyst-Data Analytics

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

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 252+ Analytics analyst in Mangaluru this December. Find roles across top companies and apply now to boost your career.

252 analytics analyst jobs IN Mangaluru

Data Scientist

Data Analyst

Data Analyst

Data Analyst

GBM - Public Dept-Bengaluru-Analyst-Data Analytics

Data Analyst - First Data Hire

Data Analyst, Legal Analytics