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business analytics analyst

Lulu Retail

<div>
 
 🚀 We&rsquo;re Hiring: Data Analyst (Supply Chain)
 
 
 
 
 
 📍 Location: Bangalore / Kochi
 
 
 
 
 
 LuLu is building the GCC region&rsquo;s leading omnichannel retail network and looking for a
 
 Data Analyst
 
 to join our analytics team. You&rsquo;ll develop dashboards, automate reports, and provide insights that drive smarter, faster supply chain decisions across markets.
 
 
 
 
 
 🔹
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data models, dashboards, and reporting tools.
 </li>
 <li>
 Automate and scale data visualization for real-time performance tracking.
 </li>
 <li>
 Collaborate with teams across supply chain, product, and operations to identify opportunities.
 </li>
 <li>
 Support business problem-solving through advanced analytics and storytelling.
 </li>
 </ul>
 
 🔹
 
 Requirements:
 
 
 <ul>
 <li>
 0&ndash;3 years of experience in
 
 FMCG, E-commerce, or Consulting.
 
 </li>
 <li>
 Proficient in
 
 SQL
 
 ; experience with
 
 Python
 
 a plus.
 </li>
 <li>
 Knowledge of
 
 Power BI, Tableau, or Data Studio.
 
 </li>
 <li>
 Strong understanding of reporting, visualization, and KPIs.
 </li>
 <li>
 Analytical and detail-oriented mindset.
 </li>
 </ul>
 
 
</div>

Data Analyst - LuLu Omnichannel

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title:
 
 
 Principal Analyst &ndash; GBS Commercial
 
 
 
 
 
 
 
 Location:
 
 
 Bangalore
 
 
 
 
 
 
 
 Reporting to:
 
 
 Manager-Marketing Insights
 
 
 
 
 
 
 
 1. Purpose of the role
 
 
 
 
 
 
 This is a role responsible for driving quality &amp; timely service delivery in Marketing Insights (Consumer and Shopper Insights) by collaboratively working with the offshore and in-country teams for all research studies and ad-hoc request support. The task is to create value through analytical projects combining deep category expertise and research knowledge.
 
 
 
 
 
 
 2. Key tasks &amp; accountabilities
 
 
 
 
 
 
 
 
 Design and drive solutions to business issue:
 
 
 
 <ul>
 <li>
 Leading the continuous brand tracking survey for all the reporting requirements
 </li>
 <li>
 Performing Deep dives for Business Issues: Connecting dots of various data sources - Brand Health, Panel, Social Media, Sales data from Nielsen etc.
 </li>
 <li>
 Perform Strategic/Special Projects: Projects run for meeting long terms goals which are not the usual tracking reports.
 </li>
 <li>
 Consolidation MKT &amp; Commercial: cross functional portfolio analytical projects (HH panel &ndash; Nielsen &ndash; Survey)
 </li>
 <li>
 Role to perform request execution, gather analysis / interpretation / learnings out of the data, share the data request output with Brand/Insights team &amp; close the Request.
 </li>
 <li>
 Requires analyst to investigate the hypothesis received from business by looking into various data sources such as Brand Health, Panel, Social Media, Sales data from Nielsen etc.
 </li>
 <li>
 Automation &amp; Process Transformation: Drive continuous improvement initiatives across Insights process. Drive standardization and automation of process to drive efficiencies
 </li>
 <li>
 Interpret and present data/reports in an easy to &lsquo;read and comprehend&rsquo; storytelling manner.
 </li>
 </ul>
 
 Devise long-term development strategies for brand health by benchmarking and creating best in class.
 
 
 
 
 
 
 
 Timeline Definition for Ad-hoc business issue:
 
 
 
 <ul>
 <li>
 Independently decide Time Estimation and Timeline Definition for every approved Request
 </li>
 <li>
 Responsible for communicating timelines to the Brand/Insights team
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required:
 
 
 <ul>
 <li>
 Graduate/Masters in the field of Business, Marketing, Analytics, or other equivalent degree or work experience
 </li>
 </ul>
 
 
 
 
 
 Previous work experience required:
 
 
 <ul>
 <li>
 5 years + of professional experience with prior experience in FMCG, Retail Insights &amp; analytics or consulting companies
 </li>
 <li>
 Ideal candidate should have right mix of Business Context, Data and Technology skills.
 </li>
 <li>
 Prior experience in managing and working with multiple data sources.
 </li>
 <li>
 5 years + with relevant experience in market research and analytics
 </li>
 <li>
 Experience in liaising with multiple vendors/agencies/stakeholders
 </li>
 </ul>
 
 
 
 
 
 Technical skills required:
 
 
 <ul>
 <li>
 Advanced MS Excel, PowerPoint (Must Have)
 </li>
 <li>
 Advanced Visual management: Power BI (Must Have)
 </li>
 <li>
 Statistical knowledge for deep diving data (Must Have)
 </li>
 <li>
 Python (Good To Have)
 </li>
 <li>
 SQL (Good To Have)
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
</div>

Principal Analyst

Levi Strauss & Co.

<div>
 
 We&rsquo;re looking for a curious, analytical, and collaborative
 
 Data Analyst
 
 to join our
 
 Global Merchandise Planning Insights
 
 team. This role supports the planning function by transforming data into actionable insights that drive product, pricing, and inventory decisions across our global business. You&rsquo;ll work closely with your manager and cross-functional partners in Planning, Merchandising, Finance, and Cluster teams to uncover trends, monitor performance, and support strategic initiatives that fuel growth.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze product performance, customer behavior, and commercial KPIs across global markets.
 </li>
 <li>
 Support weekly, monthly, and seasonal reporting cycles, including hindsight recaps and business reviews.
 </li>
 <li>
 Build and maintain dashboards and visualizations to track product success and business health.
 </li>
 <li>
 Translate complex datasets into clear, actionable insights for planning and merchandising teams.
 </li>
 <li>
 Collaborate with cluster teams to identify global themes and local nuances in product performance.
 </li>
 <li>
 Ensure data quality and consistency across reporting tools and sources.
 </li>
 <li>
 Contribute to the development of data governance practices, including metric definitions and documentation.
 </li>
 <li>
 Participate in cross-functional projects to improve reporting capabilities and business outcomes.
 </li>
 <li>
 Support brand and tier level rollups and forecasts
 </li>
 <li>
 Read and react to sales trends via chase and fabric positioning
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Analytics, Statistics, or a related field.
 </li>
 <li>
 Minimum 2 years of experience in data analytics, business intelligence, or planning.
 </li>
 <li>
 Strong analytical skills with the ability to interpret data and tell compelling stories.
 </li>
 <li>
 Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
 </li>
 <li>
 Familiarity with key retail metrics such as sell-through, AOV, UPT, and return rates.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 A growth mindset and a passion for continuous learning and improvement.
 </li>
 </ul>
</div>

Data Analyst

Citi

<div>
 
 TTS Analytics C10
 
 
 
 
 What do we do?
 
 
 
 <ul>
 <li>
 The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury &amp; Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth &amp; improvements in client experience.
 </li>
 <li>
 The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models &amp; other solutions, and designs go-to-market strategies for a huge variety of business problems.
 
 
 </li>
 </ul>
 
 Role Description
 
 
 
 <ul>
 <li>
 The role will be Spec Analytics Analyst 2 (C10) in the TTS Analytics team
 </li>
 <li>
 The role will report to the AVP leading the team
 </li>
 <li>
 The role will involve working on multiple analyses through the year on business problems across the client life cycle &ndash; acquisition, engagement, client experience and retention &ndash; for the TTS business
 </li>
 <li>
 This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile &amp; engagement data, transactions &amp; revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree with 3+ years of experience in data analytics, or Master&rsquo;s Degree with 2+ years of experience in data analytics, or PhD.
 </li>
 <li>
 Must have:
 </li>
 <ul>
 <li>
 In-depth knowledge of machine learning is must across variety of algorithms, like regression, tree based methods etc.
 </li>
 <li>
 Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
 </li>
 <li>
 Predictive modeling using Machine Learning
 </li>
 <li>
 Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
 </li>
 </ul>
 <li>
 Good to have:
 </li>
 <ul>
 <li>
 Experience in financial services
 </li>
 <li>
 Deep learning and Gen AI exposure
 </li>
 <li>
 Proficiency in Gen AI tools like Copilot etc.
 
 </li>
 </ul>
 
 Skills:
 
 
 
 
 Analytical Skills:
 
 
 
 <ul>
 <li>
 Proficient in data science and machine learning concepts and must have experience in implementing the knowledge in actual industry projects
 </li>
 <li>
 Proficient in formulating analytical methodology, identifying trends and patterns with data
 </li>
 <li>
 Has the ability to work hands-on to retrieve and manipulate data from big data environments
 
 
 </li>
 </ul>
 
 Tools and Platforms:
 
 
 
 <ul>
 <li>
 Proficient in Python/R, SQL
 </li>
 <li>
 Experience in Hive
 </li>
 <li>
 Proficient in MS Excel, PowerPoint
 </li>
 <li>
 Good to have:
 </li>
 <ul>
 <li>
 Experience with PySpark
 </li>
 <li>
 Experience with Tableau
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills
 </li>
 <li>
 Be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
 </ul>
 </ul>
</div>

Data Scientist -Bengaluru

Gushwork

<div>
 About us:
 
 
 Gushwork.ai builds AI Agents that help small and medium businesses automate their entire inbound marketing stack &mdash; from SEO and website content to reviews, blogs, and lead funnels. Our current focus is the manufacturing and industrial distributors industry.
 
 
 In plain English: we&rsquo;re replacing bloated marketing agencies with intelligent, always-on software.
 
 
 Backed by Lightspeed, SIG, Beenext, and B Capital, Gushwork.ai is one of the fastest-growing AI companies globally.
 
 
 In just a year, we&rsquo;ve grown to $1.5M ARR and are scaling fast toward $15M ARR in the next 12 months &mdash; helping thousands of small businesses grow smarter, not harder.
 
 
 Role Overview
 
 
 Join as a data analyst at a rapidly scaling AI startup, where you'll build critical data infrastructure and drive strategic decisions across all business functions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Transform chaos into clarity: Build on our data infrastructure - clean messy data from 10+ sources, create SOPs, and design repeatable automation patterns that scale
 </li>
 <li>
 Be the truth-teller: Own end-to-end analytics for product, finance, growth, and operations - from raw SQL queries to executive dashboards
 </li>
 <li>
 Accelerate velocity: Design self-serve analytics tools and documentation that empower every team to move faster with data
 </li>
 <li>
 Automate everything: Build systems that turn manual reporting into automated intelligence - freeing the team to focus on strategy, not spreadsheets
 
 
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 1-3 years in analytics, preferably at a high-growth startup or tech company.
 </li>
 <li>
 Strong understanding of relational databases.
 </li>
 <li>
 Advanced SQL skills - complex queries utilizing joins, CTEs, window functions.
 </li>
 <li>
 Data visualization expertise - transform numbers into compelling stories.
 </li>
 <li>
 Excel/Google Sheets power user with Python/R capabilities for advanced analysis.
 </li>
 <li>
 Experience leveraging AI tools and chatbots to accelerate analysis workflows.
 
 
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with ETL pipelines or data engineering fundamentals
 </li>
 <li>
 Experience migrating and managing large datasets
 </li>
 <li>
 Hands-on experience with BI tools (Metabase, Tableau, Power BI, Looker, or equivalent)
 
 
 
 
 </li>
 </ul>
</div>

MyYogaTeacher

<div>
 
 As a Data Analyst, you will play a key role in building a product that will impact the way users experience Yoga and Fitness.
 
 
 
 
 
 Our company decisions are heavily guided by insights we get from data. So this position is key and core to our business growth. You can make a real impact. We are looking for a data analyst who is passionate about contributing to the growth of MyYogaTeacher and propelling the company to newer heights.
 
 
 
 
 We encourage you to spend some time browsing through content on our website
 
 myyogateacher.com
 
 and maybe even sign up for our service and try it out!
 
 
 
 
 
 
 As a Data Analyst, you&rsquo;ll
 
 
 <ul>
 <li>
 Help collect data from a variety of sources - decipher and address quality of data, filter and cleanse data, identify missing data
 </li>
 <li>
 Help measure, transform and organize data into readily usable formats for reporting and further analysis
 </li>
 <li>
 Develop and implement analytical databases and data collection systems
 </li>
 <li>
 Analyze data in meaningful ways. Use statistical methods and data mining algorithms to analyze data and generate useful insights and reports
 </li>
 <li>
 Identify and recommend new ways to optimize and streamline data collection processes
 </li>
 <li>
 Collaborate with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance
 </li>
 </ul>
 
 
 
 
 
 You have
 
 
 <ul>
 <li>
 Excellent analytical skills - You love numbers and have strong attention to detail
 </li>
 <li>
 Good communication and presentation skills &ndash; ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand.
 </li>
 <li>
 Keen desire to own up things and get things done. You follow through on commitments: live up to verbal and written agreements
 </li>
 <li>
 You are a quick learner of new technologies and easily adapt to change
 </li>
 <li>
 Ability to collaborate effectively and work as part of a team
 </li>
 <li>
 Enthusiasm: exhibit passion, excitement and positive energy over work.
 </li>
 </ul>
 
 
 
 
 We are looking for some one with
 
 
 <ul>
 <li>
 Education in Engineering, Science, Mathematics, Statistics, Computer Engineering, Data Science, Data Analytics or Data Mining
 </li>
 <li>
 2+ years experience in a data analyst role
 </li>
 <li>
 Great understanding of databases such as MySQL, Amazon Redshift and and are very adept at SQL
 </li>
 <li>
 Understanding of scripts such as XML, Javascript, JSON
 </li>
 <li>
 Knowledge of programming languages like SQL, Oracle, R, MATLAB.
 </li>
 <li>
 Proficient in Python and Shell scripting
 </li>
 <li>
 Proficiency in statistical packages like Excel, SPSS, SAS
 </li>
 </ul>
 
 
 
 
 
 
 Would be nice if you also have
 
 
 <ul>
 <li>
 Knowledge of No SQL databases such as Mongo DB and ClickHouse
 </li>
 <li>
 Experience with product analytics tools such as Mixpanel and FullStory
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Business Objects, PowerBI or Qlik
 </li>
 <li>
 Adept at using data processing platforms like Hadoop and Apache Spark
 </li>
 <li>
 Experience handling unstructured data such as text, audio and video and extracting features from those
 </li>
 <li>
 Experience in building pipelines for ML models and running ML models
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Opportunities for career advancement and professional growth.
 </li>
 <li>
 A supportive and dynamic team environment where innovation and creativity are encouraged.
 </li>
 <li>
 Be part of a future-forward team that embraces AI-native thinking and constantly explores better ways to build, ship, and scale.
 </li>
 </ul>
 
 
 
 
 
 About Company:
 
 
 
 MyYogaTeacher is a fast-growing health tech startup with a mission to improve the physical and mental well-being of the entire planet. We are the first online marketplace to connect qualified Fitness and Yoga coaches from India with consumers worldwide to provide personalized 1-on-1 sessions via live video conference (app, web). We started in 2019 and have been showing tremendous traction with rave customer reviews.
 
 <ul>
 <li>
 Over 200,000 happy customers
 </li>
 <li>
 Over 335,000 5 star reviews
 </li>
 <li>
 Over 150 Highly qualified coaches on the platform
 </li>
 <li>
 95% of sessions are being completed with 5-star rating
 </li>
 </ul>
 
 
 
 
 Headquartered in California, with operations based in Bangalore, we are dedicated to providing exceptional service and promoting the benefits of yoga and fitness coaching worldwide. To learn more about us, visit
 
 https://myyogateacher.com/aboutus
 
 
 
 We put our employees' well-being at the forefront by providing competitive industry salaries and robust benefits packages. We're proud to foster an inclusive workplace and make a positive impact on the community. Additionally, we actively promote internal mobility and professional development at every stage of your career.
 
 
 Read more on our mission and culture at
 
 https://myyogateacher.com/articles/company-mission-culture
 
 
 
 
</div>

slice

<div>
 
 
 About the team
 
 
 
 
 
 
 The analytics team at slice plays a critical role in all the decisions both small and big. As a Business Analyst you will be charged with solving various problems in the company using data. Your job doesn't end at finding insights and giving recommendations, you are also responsible for getting your recommendations implemented and ensuring actual business impact.
 
 
 
 
 
 Some examples of the problem statements that might come to the team
 
 
 
 
 <ul>
 <li>
 How to increase the usage of product X by Y%?
 </li>
 <li>
 How to increase our user acquisition by 100% in 3 months?
 </li>
 <li>
 How to decrease the credit loss in segment X?
 </li>
 <li>
 How to increase revenue in segment Y?
 </li>
 </ul>
 
 
 
 
 
 About the role
 
 
 
 
 
 
 As a Business Analyst, you will help shape slice's credit and business strategies by combining your product and business acumen and data-driven insights. As a key member of the team, you work closely with leadership, credit, and product teams to craft and execute analytics-driven strategies for business growth.
 
 
 
 
 
 
 What You will do
 
 
 
 
 
 <ul>
 <li>
 Break down a business problem into different smaller problems.
 </li>
 <li>
 Work with key leaders in the company to get a deeper understanding of the business problem at hand.
 </li>
 <li>
 Coordinate with the data team to ensure that data is available in the required format ready to be consumed by you.
 </li>
 <li>
 Generate insights from the data and come up with recommendations.
 </li>
 <li>
 Convince the relevant stakeholders to get your recommendations implemented.
 </li>
 <li>
 Measure the impact post-implementation and take further steps if necessary.
 </li>
 <li>
 Be satisfied making an actual and significant impact on the business :)
 </li>
 </ul>
 
 
 
 
 
 What you will need
 
 
 
 
 
 <ul>
 <li>
 1-2 years experience in analytics
 </li>
 <li>
 Expertise in databases and scripting languages (Advanced SQL, Basic Python/R, Advanced Excel)
 </li>
 <li>
 Ability to draw conclusions from data and recommend actions.
 </li>
 <li>
 Demonstrated leadership and self-direction.
 </li>
 <li>
 Demonstrated willingness to both teach others and learn new techniques.
 </li>
 </ul>
 
 
 
 
 
 Life at slice:
 
 
 
 
 
 
 Life so good, you&rsquo;d think we&rsquo;re kidding:
 
 
 
 
 <ul>
 <li>
 Competitive salaries. Period.
 </li>
 <li>
 An extensive medical insurance that looks out for our employees &amp; their dependants. We&rsquo;ll love you and take care of you, our promise.
 </li>
 <li>
 Flexible working hours. Just don&rsquo;t call us at 3AM, we like our sleep schedule.
 </li>
 <li>
 Tailored vacation &amp; leave policies so that you enjoy every important moment in your life.
 </li>
 <li>
 A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
 </li>
 <li>
 Learning and upskilling opportunities. Seriously, not kidding.
 </li>
 <li>
 Good food, games, and a cool office to make you feel like home. An environment so good, you&rsquo;ll forget the term &ldquo;colleagues can&rsquo;t be your friends&rdquo;.
 </li>
 <li>
 We believe in equality. Period.
 </li>
 </ul>
 
 
 
 
 At slice, we are committed to building a diverse and talented workforce. We never discriminate on the basis of race, sex, religion, colour, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by the applicable law.
 
 
 
 
 
 We consider all qualified job-seekers with criminal histories in a manner consistent with the applicable law. Additionally, we are committed to providing reasonable accommodations to qualified individuals with physical or mental disabilities in order to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
 
 
 
 
 
 Come join our crew!
 
 
 
 
 
 
 About us
 
 
 
 
 
 
 slice
 
 
 
 
 
 A new bank for a new India
 
 
 
 
 
 slice&rsquo;s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We&rsquo;ve all felt how slow, confusing, and complicated banking can be. So, we&rsquo;re reimagining it. We&rsquo;re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.
 
 
 
 
 
 Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you&rsquo;ll get to build things you&rsquo;d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
 
 
 
 
 
 We&rsquo;re backed by some of the world&rsquo;s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.
 
</div>

Business Analyst - Credit Risk Strategy

Explore 352+ Business analytics analyst in Mangaluru this November. Find roles across top companies and apply now to boost your career.

352 business analytics analyst jobs IN Mangaluru

Data Analyst - LuLu Omnichannel

Principal Analyst

Data Analyst

Data Scientist -Bengaluru

Data Analyst

Data Analyst

Business Analyst - Credit Risk Strategy