business analyst

data analyst

product analyst

analyst

senior analyst

analytics specialist

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

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

Ola Electric

<div>
 
 
 About the Role:
 
 
 
 We are looking for a highly analytical and curious Product Analyst to join our Product &amp; Analytics team at Ola Electric. The ideal candidate will have 2&ndash;3 years of experience in data-driven problem solving, strong business understanding, and hands-on expertise in data analytics. You will work closely with product managers, engineers, and business stakeholders to translate data into insights that guide product strategy, improve user experience, and drive growth.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Partner with product managers to define success metrics and evaluate product &amp; process performance.
 </li>
 <li>
 Translate ambiguous business problems into structured analytical solutions.
 </li>
 <li>
 Create, maintain, and optimize data tables and models in data warehouse systems (Hive, Trino, etc.) for reliable analytics.
 </li>
 <li>
 Build dashboards and automated reports to monitor KPIs and track performance over time.
 </li>
 <li>
 Conduct root cause analysis (RCA) for production issues
 </li>
 <li>
 Collaborate with data engineers to improve data availability, reliability, and usability.
 </li>
 <li>
 Present insights and recommendations to leadership and cross-functional teams in a clear, actionable manner.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Statistics, Mathematics, Economics, or a related field.
 </li>
 <li>
 2&ndash;3 years of professional experience in analytics, preferably in a product, business, or operations analytics
 </li>
 <li>
 Must have strong SQL and Excel skills for data extraction and manipulation.
 </li>
 <li>
 Should have proficiency in statistical tools R
 </li>
 <li>
 Should have experience with BI tools such as Tableau, Power BI, or Looker.
 </li>
 <li>
 Should have strong problem-solving skills and structured thinking and ability to break down ambiguous problems into measurable components.
 </li>
 <li>
 Should have excellent communication skills to translate data insights into business recommendations.
 </li>
 <li>
 Good to have knowledge of Python
 </li>
 </ul>
 
 
</div>

Product Analyst

TMRW House of Brands

<div>
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Collect, analyze, and interpret product and user data to identify trends, opportunities, and pain points.
 </li>
 <li>
 Partner with Product Managers to define and track KPIs for product performance and success metrics.
 </li>
 <li>
 Conduct competitor and market analysis to provide insights that inform product roadmap decisions.
 </li>
 <li>
 Collaborate with engineering and design teams to ensure data tracking and reporting are accurate.
 </li>
 <li>
 Build dashboards, reports, and ad-hoc analyses to share actionable insights with stakeholders.
 </li>
 <li>
 Support A/B tests, feature launches, and experiments by providing pre/post analysis.
 </li>
 <li>
 Translate complex data into clear, concise presentations and recommendations.
 </li>
 <li>
 Continuously monitor product adoption, retention, and engagement to uncover opportunities for optimization.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Economics, Statistics, Engineering, Computer Science, or related field.
 </li>
 <li>
 2&ndash;4 years of experience in product analytics, business analytics, or a related role.
 </li>
 <li>
 Strong proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
 </li>
 <li>
 Experience with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude).
 </li>
 <li>
 Understanding of A/B testing, statistical concepts, and product metrics (DAU, MAU, retention, churn, etc.).
 </li>
 <li>
 Excellent problem-solving skills and ability to translate data into business insights.
 </li>
 <li>
 Strong communication and storytelling skills to present data clearly to technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Experience in SaaS, e-commerce, or consumer tech products.
 </li>
 <li>
 Familiarity with Python/R for advanced data analysis.
 </li>
 <li>
 Knowledge of Agile/Scrum methodologies.
 </li>
 <li>
 Exposure to user research and qualitative data.
 </li>
 </ul>
 
 
</div>

ACL Digital

<div>
 
 Key Responsibilities:
 
 <ul>
 <li>
 Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills).
 </li>
 <li>
 Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning.
 </li>
 <li>
 Develop robust, data-driven models that incorporate market dynamics, patient behaviour, and competitive intelligence to generate accurate and actionable forecasts.
 </li>
 <li>
 Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning.
 </li>
 <li>
 Leverage statistical, machine learning, and deep learning techniques to uncover insights that inform launch strategies and optimize product performance.
 </li>
 <li>
 Partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value.
 </li>
 <li>
 Maintain a strong understanding of the pharmaceutical landscape from financial operations to commercialization To provide objective, data-driven input into strategic decisions.
 </li>
 <li>
 Collaborate within the analytics team, openly sharing knowledge and seeking feedback to enhance the quality and impact of analytical deliverables.
 </li>
 <li>
 Stay current with emerging techniques and tools in predictive analytics, ensuring methodological rigor and adaptability in approach.
 </li>
 <li>
 Work comfortably with varied data sources and types, ensuring seamless integration and analysis across structured and unstructured datasets.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Minimum of 5 years of working experience as a Data Scientist in industry.
 </li>
 <li>
 Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices:
 </li>
 <li>
 Point Forecasting and Probabilistic Forecasting.
 </li>
 <li>
 Statistical Forecasting: ARIMA, THETA, Exponential Smoothing
 </li>
 <li>
 ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression
 </li>
 <li>
 DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN
 </li>
 <li>
 Hierarchical Forecasting
 </li>
 <li>
 Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out
 </li>
 <li>
 MLOps is also good to have skills.
 </li>
 <li>
 Any type of simulation model experience (Good to have).
 </li>
 <li>
 Agent-based Simulation Model using Anylogic (Good to have).
 </li>
 <li>
 Exposure to LLM or GPT good to have skills
 </li>
 </ul>
 
 
 
 
 
 Key Skills:
 
 Data Scientist, Machine Learning, Statistical Forecasting, Python
 
 
 
</div>

Data Scientist

SparkNovaTechSolutions

<div>
 
 Job Overview
 
 
 We are looking for a highly motivated and detail-oriented
 
 
 Data Analyst
 
 
 to join our analytics team. The ideal candidate will be responsible for gathering, analyzing, and interpreting data to provide meaningful insights that support business strategies and performance optimization.
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Collect, clean, and analyze large datasets from various sources.
 
 
 </li>
 <li>
 
 Develop dashboards, reports, and visualizations using tools like Power BI, Tableau, or Google Data Studio.
 
 
 </li>
 <li>
 
 Identify patterns, trends, and insights to support strategic and operational decisions.
 
 
 </li>
 <li>
 
 Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
 
 
 </li>
 <li>
 
 Prepare clear presentations and reports for both technical and non-technical stakeholders.
 
 
 </li>
 <li>
 
 Ensure accuracy, consistency, and security of data throughout reporting processes.
 
 
 </li>
 <li>
 
 Assist in the development of predictive models and performance forecasting.
 
 
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
 
 
 </li>
 <li>
 
 0&ndash;2 years of experience in data analysis or business intelligence roles.
 
 
 </li>
 <li>
 
 Strong knowledge of Excel, SQL, and at least one data visualization tool.
 
 
 </li>
 <li>
 
 Basic understanding of Python or R is a plus.
 
 
 </li>
 <li>
 
 Good problem-solving and analytical thinking skills.
 
 
 </li>
 <li>
 
 Excellent communication skills and attention to detail.
 
 
 </li>
 <li>
 
 Willingness to learn in a fast-paced, evolving environment.
 
 
 </li>
 </ul>
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 
 Competitive salary and growth-based performance bonuses.
 
 
 </li>
 <li>
 
 Hands-on experience with real-world analytics projects.
 
 
 </li>
 <li>
 
 Mentorship from experienced professionals in the data and tech space.
 
 
 </li>
 <li>
 
 A collaborative, learning-oriented work culture.
 
 
 </li>
 <li>
 
 Office located in a vibrant and tech-forward business hub.
 
 
 
 
 
 </li>
 </ul>
</div>

Data Analyst

Kurage

<div>
 
 
 Company Description
 
 
 
 Kurage is a full-service design and development agency specializing in user-centered UX/UI design, branding, and cutting-edge technology solutions. For nearly a decade, we have partnered with industry leaders like Tata Health, Payoneer, Titan, and upGrad to create impactful digital experiences that fuel business growth. Our commitment to innovation, sustainable practices, and empowering clients enables us to design with a focus on the future. At Kurage, we craft scalable, high-performance solutions that connect with audiences meaningfully and maximize creative potential. Join our team and help shape the future of design and technology.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time hybrid role for a Search Engine Optimization (SEO) Specialist with flexibility to work from home. The SEO Specialist will oversee day-to-day optimization efforts such as conducting keyword research, performing SEO audits, building backlinks, monitoring on-page SEO implementation, and analyzing web performance using analytics tools. They will collaborate closely with developers, designers, and content strategists to ensure online content achieves high search engine rankings and delivers measurable results for clients.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Expertise in Keyword Research and On-Page SEO techniques
 </li>
 <li>
 Experience performing SEO Audits to identify areas of improvement
 </li>
 <li>
 Proficiency in Link Building strategies and best practices
 </li>
 <li>
 Strong knowledge of Web Analytics tools (e.g., Google Analytics) for monitoring performance
 </li>
 <li>
 Excellent problem-solving and critical-thinking skills
 </li>
 <li>
 Strong attention to detail and ability to meet deadlines
 </li>
 <li>
 Bachelor&rsquo;s degree in Marketing, Communications, or a related field preferred
 </li>
 <li>
 Experience in ensuring SEO alignment with UX/UI design is a plus
 </li>
 </ul>
</div>

Search Engine Optimization Specialist

Explore 211+ Analytics specialist in Mangaluru this November. Find roles across top companies and apply now to boost your career.

211 analytics specialist jobs IN Mangaluru

Data Analyst, Legal Analytics

Business Analyst

Product Analyst

Product Analyst

Data Scientist

Data Analyst

Search Engine Optimization Specialist