business analyst Jobs in Bangalore Jobs In Mangaluru

business analyst

analyst Jobs in Bangalore Jobs In Mangaluru

analyst

data scientist Jobs in Bangalore Jobs In Mangaluru

data scientist

analyst engineer Jobs in Bangalore Jobs In Mangaluru

analyst engineer

business analyst - data & ai Jobs in Bangalore Jobs In Mangaluru

business analyst - data & ai

data analyst

VEGROW

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

Data Analyst

Circana

<div>
 
 BI Engineer/ Data Analyst
 
 
 
 
 Let&rsquo;s be unstoppable together!
 
 
 
 At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified&trade; by Great Place To Work&reg;. This prestigious award is based entirely on what current employees say about their experience working at Circana.
 
 
 
 What will you be doing?
 
 
 
 The BI Engineer II will be collaborating with team members to create rich reporting and data visualizations, enabling leaders to quickly digest information and make decisions. You will use your understanding of data visualization, analytics, and statistics to communicate valuable insights that enable functional leaders to quickly digest information and make decisions.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Utilize the business intelligence enterprise development suite to create, maintain and publish reports, dashboards, scorecards, and other visual information displays through front end interfaces as well as through application and database programming.
 </li>
 <li>
 Collaborate with team members to understand business insight needs from clients, product teams, and other commercially facing business units, and how those needs translate to functional requirements.
 </li>
 <li>
 Write stable, abstracted, reusable, and efficient code.
 </li>
 <li>
 Design and utilize automation methods and discover efficiencies where possible.
 </li>
 <li>
 Work with managers to identify and understand data visibility gaps.
 </li>
 <li>
 Provide content to our dataviz knowledge base.
 </li>
 <li>
 Proactively develop and maintain technical knowledge in BI, Reporting, and Visualizations.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience in the data/BI space.
 </li>
 <li>
 Degree or equal work experience in Computer/Data Science, Technology and/or other related fields; advanced degrees and/or specializations a plus.
 </li>
 <li>
 Experience in one or more business intelligence technologies, with the ability to visualize and report data insights clearly.
 </li>
 <li>
 Thrives in a diverse team. Collaborates well with team members, colleagues, and clients.
 </li>
 <li>
 Passion for data and its fundamental ability to create value.
 </li>
 <li>
 Good communicator able to articulate concepts to peers, clients, and managers.
 </li>
 <li>
 Continuous learner, expanding current skillset as well as new technologies identified by the business.
 </li>
 <li>
 Proven development skills in Business Intelligence tools, including, but not limited to, PowerBI, MicroStrategy, and Tableau. Experience in Circana tools Unify+, Genius Script, and Intelligence Suite preferred.
 </li>
 <li>
 Demonstrated experience building measures and metrics, defining custom dimensions and tuning performance for a superior user experience.
 </li>
 <li>
 Experience in Power Platform including Power Apps and Power Automate.
 </li>
 <li>
 Fluent in SQL, Pyspark, R, Python, or Scala.
 </li>
 <li>
 Experience in agile development teams such as scrum and Kanban, as well as DevOps development environment.
 </li>
 <li>
 Understanding of database structure principles required.
 </li>
 <li>
 Preferred experience Javascript and/or CSS experience.
 
 
 </li>
 </ul>
 
 Circana Behaviors
 
 
 
 As well as the technical skills, experience and attributes that are required for the role, our shared behaviors sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviors throughout the business within their day-to-day role:
 
 
 <ul>
 <li>
 Stay Curious: Being hungry to learn and grow, always asking the big questions.
 </li>
 <li>
 Seek Clarity: Embracing complexity to create clarity and inspire action.
 </li>
 <li>
 Own the Outcome: Being accountable for decisions and taking ownership of our choices.
 </li>
 <li>
 Center on the Client: Relentlessly adding value for our customers.
 </li>
 <li>
 Be a Challenger: Never complacent, always striving for continuous improvement.
 </li>
 <li>
 Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
 </li>
 <li>
 Commit to each other: Contributing to making Circana a great place to work for everyone.
 
 
 </li>
 </ul>
 
 Location
 
 
 
 This position can be located in the following area(s): Bangalore
 
 
 &ldquo;An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission&rdquo;
</div>

KPMG India

<div>
 
 
 About KPMG in India :
 
 
 
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 
 
 About the Job :
 
 
 
 L
 
 ocation - Bangalore/Gurgaon/Pune
 
 
 
 
 Experience - 6+ Years
 
 
 
 
 
 
 
 Functional Skills
 
 
 <ul>
 <li>
 Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
 </li>
 <li>
 Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
 </li>
 <li>
 Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
 </li>
 <li>
 Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
 </li>
 <li>
 Remaining up to date with developments in technology and industry norms can help you to produce higher-quality results.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Analyze large datasets to derive actionable insights and support decision-making processes.
 </li>
 <li>
 Develop and maintain data pipelines using PySpark and other data processing tools.
 </li>
 <li>
 Write efficient SQL queries to extract, transform, and load data from various sources.
 </li>
 <li>
 Implement data models and schemas to organize and optimize data storage and retrieval.
 </li>
 <li>
 Perform data normalization and denormalization to ensure data integrity and accessibility.
 </li>
 <li>
 Collaborate with data engineers to centralize and manage data assets.
 </li>
 <li>
 Ensure data quality through validation and cleansing processes.
 </li>
 <li>
 Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 6 years or more Proven experience in data analytics and working with large datasets.
 </li>
 <li>
 Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
 </li>
 <li>
 Strong SQL skills for querying and managing databases.
 </li>
 <li>
 Experience with PySpark for large-scale data processing.
 </li>
 <li>
 Basic understanding of Hadoop and its ecosystem.
 </li>
 <li>
 Familiarity with data engineering concepts and best practices.
 </li>
 <li>
 Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
 </li>
 <li>
 Understanding of data centralization, cardinality, and data quality principles.
 </li>
 <li>
 Good to have experience in CI/CD pipelines and tools
 </li>
 </ul>
 
 
 Banking
 
 
 <ul>
 <li>
 Deep understanding of banking operations, financial products, and regulatory frameworks
 </li>
 <li>
 Experience with data modeling, ETL processes, and statistical analysis
 </li>
 <li>
 Prior experience in retail or corporate banking analytics
 </li>
 <li>
 Analyze banking data including customer transactions, loan performance, and financial statements
 </li>
 <li>
 Support credit risk analysis and fraud detection initiatives
 </li>
 <li>
 Maintain and optimize banking databases and data pipelines
 </li>
 </ul>
 
 
 
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
</div>

JPMorganChase

<div>
 
 Job Description
 
 
 
 Step into a role where your analytical mindset and digital fluency fuel progress in financial operations. Shape smarter data practices that support regulatory standards and elevate client trust. Lead by example, inspiring a culture of accountability and proactive risk management. Collaborate with forward-thinking professionals who value innovation and continuous growth. Make a lasting impact by driving best-in-class service and operational integrity.
 
 
 
 Job Summary
 
 
 
 As a Client Data Analyst in Operations, you will review and enhance data collection and verification processes to ensure KYC records are accurate and complete. Your organizational skills will help you manage multiple priorities efficiently. You&rsquo;ll use digital tools to streamline workflows and improve the client experience. In this role, you&rsquo;ll promote thought leadership and encourage a culture of accountability and risk awareness. Your contributions will help drive best-in-class service across the team.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Address escalated service issues effectively, maintaining high standards of customer service.
 </li>
 <li>
 Act independently and make strategic decisions based on data, insight, and experience.
 </li>
 <li>
 Support client onboarding and fulfill AML and KYC requirements, ensuring compliance and risk assessment.
 </li>
 <li>
 Conduct thorough investigations to establish AML typologies and produce accurate reports of findings.
 </li>
 <li>
 Identify opportunities to refine processes, increase operational efficiencies, and manage stakeholder relationships.
 </li>
 <li>
 Analyze transaction data to identify patterns and verify legitimacy, interacting with bankers and customers to obtain necessary information.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Exceptional research and analytical skills for analyzing large amounts of unstructured data.
 </li>
 <li>
 Client-focused with strong customer service skills and ability to multi-task in a high-volume work schedule.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) and strong digital literacy.
 </li>
 <li>
 Ability to act independently, make strategic decisions, and manage stakeholder relationships effectively.
 </li>
 <li>
 Strong problem-solving and communication skills to resolve internal and external customer concerns.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 In-depth knowledge of KYC/AML policies and experience in risk, audit, or process improvement.
 </li>
 <li>
 Ability to motivate and collaborate with teams using empathy and emotional intelligence.
 </li>
 <li>
 Experience with mainframe and PC-based systems, and digital process automation.
 </li>
 <li>
 Project management and process improvement experience.
 </li>
 <li>
 Resilience and adaptability in fast-paced, high-pressure environments.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Client Data Analyst

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

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 Roku is changing how the world watches TV
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 &nbsp;
 
 
 
 About the Team
 
 
 
 
 
 
 The Core Payments team has been instrumental in Roku's exponential growth in online subscriptions, achieved through an in-streaming, on-TV purchase experience. Core Payments supports various teams across Roku; spanning multiple consumer interfaces, including TV, web, mobile, and advertising. These diverse teams have developed unique strategies for selling digital content access, encompassing Subscription Video on Demand/Transactional Video on Demand (SVOD/TVOD), company-branded devices, and on-device shoppable ads.
 
 
 
 About the Role
 
 
 
 
 
 
 We are seeking a Senior Data Analyst to join our dynamic Payments team. This individual will be tasked with investigating and developing solutions to track, monitor, and enhance our payment ecosystems. They will diagnose and proactively address emerging patterns, executing a strategy aimed at delivering an improved consumer and partner experience. The ideal candidate is analytically driven, detail-oriented, and possesses advanced problem-solving skills. They must have a deep understanding and experience in payments data, as they will collaborate closely with Product Managers and Operations teams to provide insights and performance-related details.
 
 
 
 What you'll be doing:
 
 
 <ul>
 <li>
 Identify opportunities for improvement within our payment services, effectively communicating with product management and engineering teams
 </li>
 <li>
 Lead the identification of issues and incidents, conduct business impact analysis, and engage with the wider team for resolution
 </li>
 <li>
 Focus on optimising processing costs to deliver a positive impact on payment processing expenses
 </li>
 <li>
 Oversee end-to-end payment processes and requirements, while contributing insights to develop world-class billing products and processes
 </li>
 <li>
 Collaborate with internal teams to identify and implement strategies to accommodate evolving consumer payment preferences
 </li>
 <li>
 Engage with internal and external partners to identify optimisation opportunities and contribute to building a world-class subscription payment processing and billing platform
 </li>
 <li>
 Collaborate closely with the Payment Protection team to monitor fraud/risk patterns and minimise chargeback losses.
 </li>
 </ul>
 
 
 We're excited if you have:
 
 
 <ul>
 <li>
 8 years of experience as an Analyst, Consultant, or in a related occupation&nbsp;
 </li>
 <li>
 Quantitative analysis, including interpreting large, structured data and formulating recommendations
 </li>
 <li>
 Performing data analysis, developing strategies, driving implementation, and delivering post-launch performance results
 </li>
 <li>
 Strong proficiency in SQL, Hive QL, and Hadoop for data extraction and query optimization
 </li>
 <li>
 Hands-on experience in visualization using Tableau or similar statistical/reporting packages
 </li>
 <li>
 Proficiency in Python and Shell as scripting languages (preferred)
 </li>
 <li>
 Advanced skills in MS Excel and MS PowerPoint
 </li>
 <li>
 Experience in the payments/e-commerce domain
 </li>
 <li>
 Working with transactional systems, processes, A/B tests, or analytics in a technology company
 </li>
 <li>
 Real-world experience in Risk Management and Risk Analytics
 </li>
 <li>
 Exposure to Incident/Escalations processes
 </li>
 <li>
 In-depth knowledge of the Payment Product domain and Payment Service technical implementation stacks
 </li>
 <li>
 Working collaboratively with multiple teams internally and externally
 </li>
 <li>
 Bachelor's degree or foreign equivalent in Electronics Engineering, Mathematics, Statistics, Economics, Operations Research, Computer Science, or a related field
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 Our Hybrid Work Approach
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 &nbsp;
 
 
 Benefits
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 &nbsp;
 
 
 Accommodations
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 &nbsp;
 
 
 The Roku Culture
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Senior Data Analyst-Payments

Explore 323+ Data analyst in Bangalore Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.

323 data analyst jobs IN Bangalore Jobs In Mangaluru

Data Analyst

Data Analyst

Data Analyst

Client Data Analyst

Data Analyst, Legal Analytics

Data Analyst - AI & ML

Senior Data Analyst-Payments