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analyst | senior analyst - banking & financial services Jobs in Mangaluru

analyst | senior analyst - banking & financial services

analytics analyst

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
 <li>
 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 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.
 
</div>

Data Scientist

Hitachi Energy

<div>
 
 The Opportunity
 
 
 
 The SCM Sustainability Analyst plays a key role in supporting global sustainability initiatives within the supply
 
 
 chain function. This role focuses on data-driven analysis, reporting, and tool management to monitor supplier performance, carbon and circularity metrics, and compliance. The analyst will work across various digital
 
 
 platforms and dashboards to support strategic decision-making and continuous improvement in sustainable supply chain practices.
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Manage and analyze data from sustainability tools (Carbon &amp; Circularity, Power BI, EcoVadis, Responsible Minerals, etc.).
 </li>
 <li>
 Develop automated reports and dashboards to track SCM sustainability KPIs.
 </li>
 <li>
 Support programs such as GHG assessments, circularity tracking, and supplier compliance.
 </li>
 <li>
 Collaborate with global teams and assist in internal/external sustainability reporting.
 </li>
 <li>
 Identify process improvement opportunities and support rollout of new tools and training.
 </li>
 <li>
 Develop and maintain automated reports and visualizations to support SCM sustainability KPIs.
 </li>
 <li>
 Ensure data accuracy, consistency, and timely updates across platforms.
 </li>
 <li>
 Support implementation of sustainability initiatives such as supplier GHG assessments, circularity tracking and resource efficiency analysis, and smelter engagement through the Responsible Minerals Initiative (RMI).
 </li>
 <li>
 Collaborate with global SCM teams to monitor supplier performance and compliance.
 </li>
 <li>
 Assist in preparing internal and external sustainability reports.
 </li>
 <li>
 Drive process improvements by streamlining data collection and reporting, collaborating with cross-functional teams (SCM, Quality, Sustainability, Legal) to align standards, and supporting the rollout of new tools and dashboards with training and documentation.
 </li>
 <li>
 Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
 </li>
 <li>
 Living Hitachi Energy&rsquo;s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 Must have bachelor&rsquo;s degree in Sustainability, Supply Chain, Data Analytics, Environmental Science, or related field.
 </li>
 <li>
 Should have 4+ years of experience in sustainability reporting, supply chain analytics, or ESG data management.
 </li>
 <li>
 Experience in data analytics within global organizations, with knowledge of responsible sourcing, carbon accounting, circular economy, scenario modeling, and supply chain compliance systems.
 </li>
 <li>
 Having experience working with tools like PowerBi, Celonis, EcoVadis, and other sustainability platforms is a advantage.
 </li>
 <li>
 Proficiency in Excel, PowerBI, and data integration tools &amp; familiarity with sustainability frameworks (GHG Protocol, RMI, ESG standards).
 </li>
 <li>
 Proficiency in both spoken &amp; written English language is required.
 
 
 </li>
 </ul>
 Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives.
 
 
 With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time &ndash; balancing soaring electricity demand, while decarbonizing the power system.
 
 
 Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.
</div>

Data analyst and reporting Carbon & Circularity

Axion

<div>
 Axion Ray&rsquo;s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world&rsquo;s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech &amp; AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.
 
 
 Our team includes experts in Enterprise AI from Palantir, McKinsey &amp; QuantumBlack, and other top tech companies.
 
 
 Since our founding at the onset of 2021, we&rsquo;ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!
 
 
 
 Position Summary
 
 
 
 We are seeking a detail-oriented, analytical, and curious Data Analyst to join our team. You will be responsible for collecting, processing, and analyzing large datasets to generate actionable insights that help drive strategic business decisions. In addition to traditional analytics tasks, you will also support text and document annotation initiatives, helping generate high-quality labeled data that powers our NLP and LLM-based AI solutions.
 
 
 The ideal candidate has strong analytical skills, is comfortable with complex data models, and can translate data into compelling narratives.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Analyze large, complex datasets to uncover trends and actionable insights using Excel, Google Sheets, SQL and Python.
 </li>
 <li>
 Collaborate with Senior Analysts and Lead Analysts to interpret client data and propose data-driven strategies.
 </li>
 <li>
 Clean, validate, and pre-process client datasets for analysis and modeling.
 </li>
 <li>
 Translate analysis into compelling business narratives and strategic recommendations.
 </li>
 <li>
 Build lightweight scripts and workflows to automate data handling and save time.
 </li>
 <li>
 Continuously improve internal workflows and enhance analytical processes.
 </li>
 <li>
 Collaborate on tool configurations, and enhancements to boost efficiency.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, science, mathematics, or related field.
 </li>
 <li>
 6 months - 2 years of relevant experience working with Analytics/ Manufacturing/ Aerospace/ Automotive/ Medical-Device company and product company or startups.
 </li>
 <ul>
 <li>
 Freshers with a passion for data, analytics, and numerical storytelling are encouraged to apply.
 </li>
 </ul>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Experience with data/text annotation for AI/ML models (particularly NLP/LLM-related) is a strong plus.
 </li>
 </ul>
 <ul>
 <li>
 Techstacks/ Tools:
 </li>
 <ul>
 <li>
 Must Have: Excel (G-Sheet) &amp; Python(Pandas), Basic SQL
 </li>
 <li>
 Optional/good to have experience : GIT (Basic knowledge of version control, branching, committing, and collaborating using repositories), ML, LLM and related fields.
 
 </li>
 </ul>
 </ul>
 Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
</div>

Data Analyst

<div>
 
 Roles &amp; Responsibilities
 
 
 
 The Lead Data Analyst's primary responsibility is to deliver Business Insights &amp; Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research &amp; experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization.
 
 
 
 Analytical &amp; Technical Skills
 
 
 
 The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
 
 
 The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
 
 
 Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice &amp; Digital), Client handling, and web data handling would be added advantage.
</div>

Data Analyst-Business Analytics-Data Scientist

slice

<div>
 
 
 About the Team:
 
 
 
 
 
 
 You&rsquo;ll work with a team that&rsquo;s reimagining how India interacts with a bank - powered by some of the smartest minds and the most intuitive tech in the ecosystem.
 
 
 
 
 
 If you love impact, autonomy, and velocity, this is your playground
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As an Analyst at
 
 slice
 
 , you&rsquo;ll turn data into decisions. You&rsquo;ll work with teams across Growth, Credit, Product, and Leadership to uncover insights, solve real business problems, and drive strategy. If you&rsquo;re excited about using data to fuel impact at scale, this role is for you.
 
 
 
 
 
 
 What You&rsquo;ll Be Do:
 
 
 
 
 
 
 
 Own the Full Analytics Spectrum
 
 
 
 
 
 
 
 Think from First Principles:
 
 Break problems down to their core, use data and reasoning to uncover insights that move the business and make life simpler for our customers.
 
 <ul>
 <li>
 
 Descriptive
 
 &ndash; Build clear, compelling visualizations and dashboards.
 </li>
 <li>
 
 Diagnostic
 
 &ndash; Dig into the
 
 why
 
 behind trends and performance.
 </li>
 <li>
 
 Prescriptive
 
 &ndash; Turn insights into recommendations that drive smart decisions.
 </li>
 </ul>
 
 
 Drive Impact at Scale
 
 
 <ul>
 <li>
 Take full ownership of complex, high-impact problems that shape key org KPIs and influence strategic direction.
 </li>
 <li>
 Lead end-to-end analytics projects in close partnership with Product, Business, and Strategy teams &mdash; from framing the problem to shaping solutions that drive measurable outcomes.
 </li>
 </ul>
 
 
 Partner with Leaders Across Teams
 
 
 <ul>
 <li>
 Work side by side with functional leaders and business partners across Growth, Retention, Product, Strategy, Engineering, Marketing, Fraud, and Ops &mdash; asking the right questions, challenging assumptions, and helping define the real business problems worth solving.
 </li>
 <li>
 
 Tell Stories That Drive Action:
 
 Turn complex data into simple, actionable stories &mdash; crafting solutions that power big decisions and deliver real impact at scale.
 </li>
 </ul>
 
 
 
 
 
 What You'll Need:
 
 
 
 
 
 <ul>
 <li>
 
 Hustle + Heart:
 
 You&rsquo;ve got the drive to build data-driven solutions that touch millions of lives - and the curiosity to keep asking
 
 &ldquo;what&rsquo;s next?&rdquo;
 
 </li>
 <li>
 
 1-3 years
 
 of experience solving complex business problems, uncovering insights, and driving key decisions that move metrics at scale.
 </li>
 <li>
 
 AI-Native Mindset:
 
 Comfortable using tools like Cursor, Claude, or CoPilots to boost your speed, scale, and smarts.
 </li>
 <li>
 
 You speak data fluently:
 
 Python and Advanced SQL are your second languages, and you&rsquo;re comfortable in PySpark, R, or Excel when the situation calls for it.
 </li>
 <li>
 
 Problem-solver at your core:
 
 You love breaking big, messy problems into bite-sized pieces &mdash; and crafting smart, scalable solutions that stick.
 </li>
 <li>
 
 Natural Storyteller:
 
 You don&rsquo;t just present numbers &mdash; you craft narratives that align stakeholders and inspire action.
 </li>
 <li>
 
 Always learning:
 
 Whether it&rsquo;s a new tool, technology, or technique, you&rsquo;re excited to expand your toolkit.
 </li>
 <li>
 
 Visualization is your superpower:
 
 Whether it&rsquo;s dashboards or decks, you know how to turn numbers into a story people instantly get.
 </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>

Analyst

Microsoft

<div>
 
 Overview
 
 
 
 Online advertising is what allows us to enjoy many online services for free, such as search engines, social networks, and music and video streaming platforms. It is also a growing business, as online time increases for more people and more advertisers want to reach them. The field of computational advertising combines information retrieval, data mining, machine learning, statistical modelling, optimization, linear algebra, and microeconomics to tackle the multitude of problems that can arise and to run operations optimally.
 
 
 We are hiring Data Scientists for the Microsoft Advertising Monetize analytics team and Microsoft Advertising Monetize. This team is responsible for driving overall product analytics, system observability, reporting, and identifying revenue growth opportunities. We use big data from different sources, such as advertisers, publishers, system components, and users, to identify connections between anomalies and conduct investigations, diagnosis, and resolution of issues that may impact the performance of the product, as well as to discover new areas of opportunity.
 
 
 For this role, we are looking for a strong software developer turned data enthusiast who loves to harness the power of data through statistical and quantitative analysis to gain meaningful insights and make key business decisions.
 
 
 
 Responsibilities
 
 
 
 Run analysis to explain behaviour of the products KPIs.
 
 
 <ul>
 <li>
 Improve dashboards and reporting of the system
 </li>
 <li>
 Running exploratory analysis to prove / disprove data hypothesis.
 </li>
 <li>
 Improve the system logging in the production code.
 </li>
 <li>
 Finding opportunities for improvements in revenue and other metrics of the system.
 </li>
 <li>
 Strong communication skills and ability to modify presentation as per audience.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 4+ years of relevant experience is expected; however, for exceptional candidates, experience is not a constraint.
 </li>
 <li>
 Bachelor's or master's degree in engineering with a strong emphasis on data analytics; flexibility is available for exceptional candidates.
 </li>
 <li>
 Knowledge of at least one programming language: C, C++, C#, or Java.
 </li>
 <li>
 Knowledge of Python and/or R for general coding as well as data analysis is highly valued.
 </li>
 <li>
 Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making.
 </li>
 <li>
 Good verbal and written communication skills.
 </li>
 <li>
 Strong technical competence and analytical skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility
 </li>
 <li>
 Working knowledge of any other cloud service
 </li>
 <li>
 Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases.
 </li>
 <li>
 Proven experience in shipping production-quality code in fast-paced environments.
 </li>
 <li>
 Exposure AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
 
 
 </li>
 </ul>
 #AdsIDCPositions
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

MakeMyTrip

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Reporting: Design and maintain complex MIS reports (DWM) using advanced logic, ensuring data translates into actionable business intelligence.
 </li>
 <li>
 Visualization &amp; Storytelling: Create intuitive dashboards and visual representations of data (using Excel or BI tools) to help non-technical stakeholders understand the numbers at a glance.
 </li>
 <li>
 Process Automation: Proactively identify repetitive manual tasks and minimize turnaround time using Macros/VBA or advanced formula logic.
 </li>
 <li>
 Data Integrity &amp; Management: Act as the gatekeeper of data quality, performing deep-dive reconciliation and validation before publishing numbers.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL .
 </li>
 <li>
 Advanced Excel (Pivot tables, charts, formulas, etc.).
 </li>
 <li>
 Experience with BI/Visualization tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with large datasets and derive actionable insights.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field.
 </li>
 <li>
 Experience in MIS reporting, dashboard creation, or business analytics.
 </li>
 <li>
 Knowledge of Python/R (optional but good to have).
 </li>
 </ul>
</div>

Explore 132+ Analytics analyst in Mangaluru this January. Find roles across top companies and apply now to boost your career.

132 analytics analyst jobs IN Mangaluru

Data Scientist

Data analyst and reporting Carbon & Circularity

Data Analyst

Data Analyst-Business Analytics-Data Scientist

Analyst

Data Scientist II

Data Analyst