business analyst

data analyst

data scientist

analyst

data analyst l4

analyst data analytics

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

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

Publicis Media

<div>
 
 
 About the Role
 
 
 
 We are looking for a detail-oriented
 
 Junior Analyst
 
 to join our team. The ideal candidate should be good with numbers, comfortable working on Excel/Sheets, and eager to learn data-driven decision making. This is a great opportunity for someone starting their career in analytics or digital/media operations.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean and organize data from various internal sources
 </li>
 <li>
 Support the team with daily/weekly/monthly reporting
 </li>
 <li>
 Analyse campaign or business performance to identify trends and insights
 </li>
 <li>
 Maintain dashboards and update trackers regularly
 </li>
 <li>
 Assist in preparing presentations and performance summaries
 </li>
 <li>
 Coordinate with internal teams for data requirements
 </li>
 <li>
 Ensure accuracy and quality in all reports and data outputs
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Marketing, Statistics, Economics, or related fields
 </li>
 <li>
 Strong proficiency in
 
 Excel/Google Sheets
 
 </li>
 <li>
 Basic understanding of data analysis concepts
 </li>
 <li>
 Good communication and problem-solving skills
 </li>
 <li>
 Ability to work with multiple stakeholders and meet deadlines
 </li>
 <li>
 Eagerness to learn digital/media tools, analytics platforms, and reporting systems
 </li>
 </ul>
 
 
 Good to Have (Optional)
 
 
 <ul>
 <li>
 Familiarity with Google Analytics, Power BI, or similar tools
 </li>
 <li>
 Internship experience in analytics, digital marketing, or media
 </li>
 <li>
 Knowledge of basic SQL (not mandatory)
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Opportunity to learn hands-on from an experienced team
 </li>
 <li>
 Growth path towards Analyst / Senior Analyst roles
 </li>
 <li>
 Exposure to digital platforms, performance marketing, and data tools
 </li>
 </ul>
 
 
</div>

Junior Analyst

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>

Curefit

<div>
 
 
 About Us:
 
 
 
 Curefit Healthcare Pvt Ltd, founded in 2016, is India&rsquo;s largest fitness company and wellness platform. Cult, from the house of Curefit, was established with a mission to make fitness easy, fun and accessible to everyone, and has emerged as a community celebrating the joy of fitness. The brand today offers a range of fitness services ranging from group workouts, gyms and personalized fitness solutions, as well as an expansive selection of quality fitness products for the everyday athlete. The company&rsquo;s vision is to empower everyone towards an active and healthier lifestyle through innovative fitness solutions, enabled by technology.
 
 
 
 
 
 
 Role : Business Analyst
 
 
 
 
 Required Experience : 2-3 years
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 ● Transform and enable better decision-making through the usage of advanced analytics
 
 
 ● You will work closely with business stakeholders and analytics leads to create an enormous impact using the latest analytics tools and techniques.
 
 
 ● Work on analytics projects and deep dives to figure out insights from the data and build analytical frameworks and presentations.
 
 
 ● Set up the analytics reporting by making sure the tracking is done at the right frequency for the KPIs.
 
 
 ● Co-own the product and business goals and drive analytics in the right direction to achieve the goals.
 
 
 
 
 
 
 Qualification and Skills Required:
 
 
 
 ● 2+years of overall work experience within Analytics
 
 
 ● Extremely strong analytical orientation and product understanding.
 
 
 ● Demonstrated experience in descriptive, predictive analytics and expertise in SQL and Python/R.
 
 
 Experience with Reporting and Business Intelligence tools like Tableau, QlikView, Looker, etc.
 
 
 ● Ability to understand data architecture and data engineering pipelines is good to have.
 
 
 ● Ability to communicate complex quantitative insights in a precise, and actionable manner
 
 
 ● Strong communication skills and ability to work with peers &amp; senior stakeholders demonstrating strong vertical and lateral influence.
 
 
 ● Analytical skills with an excellent grasp of spreadsheet-based tools such as Excel or Google Sheets and are comfortable using SQL
 
</div>

Business Analyst

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

Explore 456+ Analyst data analytics in Mangaluru this December. Find roles across top companies and apply now to boost your career.

456 analyst data analytics jobs IN Mangaluru

Analyst, Data & Analytics

GBM - Public Dept-Bengaluru-Analyst-Data Analytics

Junior Analyst

Data Analyst

Data Analyst

Business Analyst

Data Analyst - First Data Hire