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HARMAN India

<div>
 
 Introduction: A Career at HARMAN Automotive
 
 
 
 We&rsquo;re a global, multi-disciplinary team that&rsquo;s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
 
 
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 Engineer audio systems and integrated technology platforms that augment the driving experience
 </li>
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 Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence.
 </li>
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 Advance in-vehicle infotainment, safety, efficiency, and enjoyment
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are seeking a highly skilled and results-oriented Data Scientist to join our team, with a strong foundation in statistical modelling, machine learning, and data engineering collaboration. The ideal candidate will have a proven track record of delivering predictive and descriptive analytics use cases in the finance domain that have led to measurable improvements in profitability, revenue growth, and operational efficiency.
 
 
 
 What You Will Do
 
 
 
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 Collaborate closely with finance stakeholders to translate business problems into data science solutions with quantifiable impact.
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 Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions.
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 Develop and deploy predictive, descriptive, and prescriptive models to support finance-led initiatives (e.g. pricing, risk scoring, demand forecasting, customer segmentation).
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 Write clean, efficient, and reproducible code in Python, R, or Scala for analytics and modelling tasks.
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 Perform exploratory data analysis, data wrangling, feature engineering, and validation of data quality and integrity.
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 Generate actionable insights and dashboards that drive decision-making in areas such as revenue growth, margin improvement, and cost optimization.
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 Analyze large datasets to identify trends, patterns, and opportunities using statistical and machine learning techniques!
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 Communicate technical results to non-technical audiences through compelling visualizations and storytelling.
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 Partner with data engineers to define and design robust data pipelines and reusable data assets that power analytics and machine learning.
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 Continuously evaluate and implement new modelling techniques, tools, and technologies to improve effectiveness and efficiency.
 
 
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 </ul>
 
 What You Need To Be Successful
 
 
 
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 3+ years of experience in data science roles, preferably with a focus on finance use cases.
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 Strong proficiency in Python (preferred), R, SQL, and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
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 Solid experience with statistical modelling, machine learning algorithms, and time-series forecasting.
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 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and big data tools (e.g., Spark, Databricks).
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 Experience working alongside data engineers and understanding of data pipeline architecture and data governance.
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 Ability to connect the dots between data insights and financial impact (e.g., ROI, profitability, growth metrics).
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 Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
 
 
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 </ul>
 
 Bonus Points if You Have
 
 
 
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 Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
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 Experience with Finance
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 Experience with SAP Finance data, good understanding of SAP Finance data.
 
 
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 </ul>
 
 What Makes You Eligible
 
 
 
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 This position requires up to 20% of travel.
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 Be willing to work in Bangalore, India.
 
 
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 </ul>
 
 What We Offer
 
 
 
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 Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.
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 Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
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 Extensive training opportunities through our own HARMAN University
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 Competitive wellness benefits
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 Tuition reimbursement
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 &ldquo;Be Brilliant&rdquo; employee recognition and rewards program.
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 An inclusive and diverse work environment that fosters and encourages professional and personal development.
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 </ul>
</div>

Specialist - Finance Data Scientist

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:
 
 
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 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.
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 Apply your SQL coding technical expertise to discover, extract and validate data from various data sources and build actionable reports and analysis.
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 Update and maintain SQL codes to conform to organization changes, deprecation schedules, and new developments.
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 Demonstrated ability to work with large and varied data sources to make reporting and analysis reliable and efficient.
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 Develop and improve Python scripts as needed for data processing, data cleaning, and data extraction.
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 Build and improve Tableau dashboards or excel reports, whichever is appropriate and suits the requestors.
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 Deliver high-impact, data-driven insights, recommendations, and metrics to eBay&rsquo;s Legal teams.
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 Effectively communicate results to Legal partners and multi-functional groups.
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 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.
 
 
 
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 </ul>
 
 Characteristics
 
 
 
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 Excellent business judgment, analytical and problem-solving skills, and experience applying these skills to analyze large, sophisticated, multifaceted data sets.
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 Good understanding of methods used to define and analyze data requirements needed to support the business and statistical analysis.
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 Proven team player and consensus builder with proficient communication and coordination skills.
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 Team member with good interpersonal abilities in a multi-cultural setting, self-assurance, positive outlook, and good decision-making.
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 Clear passion for eBay&rsquo;s mission and business objectives.
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 Ability to multi-task and prioritize work in a fast-paced and constantly evolving environment
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 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.
 
 
 
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 Skills &amp; Experiences
 
 
 
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 5+ years related experience in Computer Science/Analytics/Consulting, (Master&rsquo;s degree preferred).
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 Must have a demonstrable understanding of database / data modeling tools and concepts. Experience with database development and data warehousing concept/tools are required.
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 Strong SQL skills (on Hive/SPARK environment) for querying and maintaining databases.
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 Expert Excel (e.g., look-up functions, pivot tables, sophisticated functions, statistics).
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 Experience with Tableau required.
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 Python programming experience preferred.
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 HADOOP experience will be advantageous.
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 Experience with analyzing customer data in financial services, Internet, or top-tier consumer-focused company (in technology, consumer goods or retail domain) a plus.
 
 
 
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 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

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

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
 
 
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 Execute digital, media and audience analysis, and measurement assignments with limited supervision
 
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 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Think strategically and have the ability to tell a story with data
 
 
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 Develop measurement dashboards, reports and presentations, for use across our client portfolio
 
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 Monitor and report on key performance metrics, identifying trends and providing insights that offer opportunities to improve marketing and communications strategies and campaigns
 
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 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
 
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 </ul>
 
 
 
 
 
 Your Experience and Qualifications
 
 
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 5+ years&rsquo; experience in digital and media measurement and analytics. Agency experience preferred
 
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 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
 
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 Highly familiar with performance marketing metrics and conversion data across Paid, Earned, Social and owned media
 
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 Expertise in using business intelligence tools including Looker Studio, Tableau, Cision, Google Analytics and others
 
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 Experience working with cross-functional global teams
 
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 Time management skills and the ability to juggle multiple deliverables and timelines at once
 
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 Must be able to quickly learn new tools and databases
 
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 Skilled data storyteller, able to make the complex simple to understand and provide actionable insights
 
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 Track record of working across multiple projects and successfully promoting the impact and value of measurement and analytics
 
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 </ul>
 
 
 
</div>

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
 
 
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 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
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 Design data models and establish schemas that scale with our product and business needs
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 Implement data quality monitoring and validation processes to ensure accuracy and reliability
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 Set up automated ETL workflows and establish best practices for data collection and storage
 
 
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 </ul>
 Analytics &amp; Insights
 
 
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 Define and track key business and product metrics that measure our success (retention, usage, monetization, feature adoption, and more)
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 Build automated dashboards and reports for daily, weekly, and monthly business reviews
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 Conduct deep-dive analysis to surface trends, identify opportunities, and provide recommendations that influence product and business decisions
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 Support experimentation and A/B testing initiatives with analytical rigor and evaluation frameworks
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 Answer urgent, ad-hoc data questions from any part of the organization with speed and accuracy
 
 
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 Internal Tooling &amp; Self-Service
 
 
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 Develop internal tools and dashboards that enable non-technical stakeholders to access data independently
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 Create standardized reporting templates and processes that reduce repetitive requests
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 Build documentation and data definitions that keep the entire organization aligned on metrics and methodology
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 Train and support team members across the company on how to interpret and use data effectively
 
 
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 Cross-Functional Partnership
 
 
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 Partner with Product to establish measurement frameworks and define success metrics for new features
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 Work with Engineering to ensure data collection is robust and metrics are accurate
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 Support Leadership and Go-to-Market teams with investor-ready analytics and strategic insights
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 Collaborate with Research on evaluation frameworks and hypotheses testing for memory and retrieval innovations
 
 
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 </ul>
 
 What We're Looking For
 
 
 
 Technical Expertise
 
 
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 Expert-level SQL skills with strong experience in PostgreSQL or similar relational databases
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 Proficiency in Python for data analysis, automation, and building data pipelines
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 Hands-on experience with product analytics platforms (PostHog, Mixpanel, Amplitude, or similar)
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 Proficiency with data visualization and BI tools (Tableau, Looker, Metabase, or similar)
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 Understanding of API integrations, data extraction, and ETL concepts
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 Familiarity with cloud platforms and modern data warehousing solutions
 
 
 </li>
 </ul>
 Experience &amp; Background
 
 
 <ul>
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 1-3 years of experience at growth-stage startups in data analysis, analytics engineering, or related roles
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 Prior experience as a first data hire or building analytics infrastructure from the ground up is strongly preferred
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 Demonstrated ability to work with diverse, unstructured data sources and complex data environments
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 Understanding of product development cycles and the ability to think like a builder, not just an analyst
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 Track record of moving fast and iterating in resource-constrained environments
 
 
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 </ul>
 Mindset &amp; Collaboration
 
 
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 Business acumen&mdash;you understand what insights actually matter and can translate data into actionable recommendations
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 Excellent communication skills; you can explain complex findings to both technical and non-technical stakeholders
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 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
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 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>
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 Background in product management or strong intuition for product thinking
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 <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
 
 
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 <li>
 Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
 </li>
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 Identifying the data quality issues across the various platforms at Amazon
 </li>
 <li>
 Extracting and combining data from various heterogeneous data sources
 </li>
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 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>

Business Analyst I

Explore 238+ Analytics specialist in Mangaluru this December. Find roles across top companies and apply now to boost your career.

238 analytics specialist jobs IN Mangaluru

Specialist - Finance Data Scientist

Data Analyst, Legal Analytics

Data Analyst, Legal Analytics

Business Analyst

Analyst, Data & Analytics

Data Analyst - First Data Hire

Business Analyst I