data scientist

business analyst

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data scientist-advanced analytics Jobs in Bangalore

data scientist-advanced analytics

financial analyst

data analyst

NTT DATA North America

<div>
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Analyst to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 Experience: 3 to 6 Years
 
 
 Keywords: Statistical analysis, Data Visualization, Dashboards, Data pipelines, Data Gathering, Root Cause Analysis
 
 
 Description: A data analyst who can fetch required data from field vehicle data tables and analyze as per the use cases by using various data visualization techniques. Build tools.
 
 
 Responsibilities:
 
 
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 Analysis of field car data
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 Usage of different data pipelines and get required data
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 Collaboration with data pipeline owners and data engineers
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 Data cleaning and plausibility checks
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 Creating gold and silver layers of data for analytics
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 Statistical analysis as per the requirement
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 Build and maintain dashboards
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 Building suitable tools for scaling data analytics methods
 </li>
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 Collaborating with Global stakeholders and Product owners
 
 
 </li>
 </ul>
 Skills/Qualifications/Experience:
 
 
 <ul>
 <li>
 Bachler&rsquo;s or Master&rsquo;s degree in any STEM disciplines
 </li>
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 Microsoft Azure
 </li>
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 Databricks
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 Python
 </li>
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 SQL
 </li>
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 Optional skills (good to have) &ndash; Power BI, Automotive Powertrain domain knowledge
 </li>
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 Soft Skills: Excellent written and verbal communication skills, Flexible, Self-driven, Team Player
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world&rsquo;s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D.
</div>

Data Analyst

Mphasis

<div>
 
 
 Job Description
 
 
 
 
 Role: Sr Analytics Engineer
 
 
 
 
 Location: Bengaluru, India
 
 
 
 
 Job Summary &ndash;
 
 
 
 We are looking for an experienced
 
 Analytics Engineer
 
 with
 
 6&ndash;8 years of professional experience
 
 in designing, building, and optimizing interactive dashboards and reports. The ideal candidate will have strong technical skills in
 
 visualization and data modeling
 
 , coupled with the ability to work closely with business stakeholders to deliver actionable insights.
 
 
 This role requires a blend of
 
 analytical thinking, design sense, and technical expertise
 
 to transform complex data into intuitive dashboards that empower decision-making across the organization. A
 
 curious and self-motivated
 
 individual with a passion for continuous improvement will thrive in this role.
 
 
 
 Years of experience needed &ndash;:
 
 
 
 6-8 years of experience
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 6&ndash;8 years of experience in business intelligence and dashboard/report development.
 </li>
 <li>
 Expertise in Analytics &mdash; including visualization design, dashboard creation, DAX calculations, and data modeling.
 </li>
 <li>
 Proven ability to translate business requirements into user-friendly dashboards with clear KPIs and storytelling visualizations.
 </li>
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 Good understanding of data sources and integration (SQL Server, Excel, cloud platforms, APIs).
 </li>
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 Skilled in performance optimization for large datasets and complex dashboards.
 </li>
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 Strong communication skills to collaborate with business users, analysts, and technical teams.
 </li>
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 Self-driven, curious, and eager to learn and adopt new visualization practices and BI trends.
 </li>
 </ul>
 
 
 Education and Experience Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, IT, or a related field.
 </li>
 <li>
 Familiarity with software development processes, Agile methodologies, and project management best practices.
 </li>
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 Strong problem-solving and organizational skills, with attention to detail.
 </li>
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 Experience with project management tools (JIRA, Confluence, Azure DevOps, MS Project, etc.).
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
</div>

Nasdaq

<div>
 Nasdaq eVestment is looking for a passionate Business &amp; Research Analyst to join our Data Extraction team. This role will be focusing on solutions that aim to bring transparency into the institutional investment industry. We are seeking a candidate who has a strong interest in investment data, institutional investment markets, and has strong skills for data entry, data research, qualitative data summarization, and more. Candidates must demonstrate outstanding English language proficiency, both written and verbal, with the ability to comprehend and communicate complex financial concepts clearly and professionally. The ideal candidate will have exceptional attention to detail, outstanding English language skills, and a background in institutional investment. We are looking for a team player with a desire to consistently innovate and grow their skills along with a genuine desire and drive to deliver top technology solutions to today's markets. Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow.
 
 
 As a Business &amp; Research Analyst for the Data Extraction team , you will be responsible for working with both qualitative (investment documents) and quantitative data as it relates to the institutional investment industry. Primary solutions of focus will be Nasdaq eVestment Market Lens and Nasdaq eVestment Peer Benchmarking. You will work on both shared responsibilities and group projects as well as individual initaitves. The role requires efficiently reading and interpreting complex investment documents in English, extracting the most relevant information, providing concise, accurate summaries and comprehensive data tagging of each document to ensure all key data points are captured. You will take part in data association projects, whereby taking externally sourced data and associating it with existing records in our database. You will conduct internet research to locate and retrieve key data, and collaborate with global team members to ensure the highest standards of data quality. You will also take part in building out our Key Contact dataset which includes contact information for investor firms, consultants, and more. You must consistently meet strict daily deadlines, managing your workload efficiently and maintaining high standards of accuracy under time pressure. Your expected shift hours will be commencing between 12:00PM &ndash; 2:59PM IST.
 
 
 
 Come as You Are
 
 
 
 
 Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
 
 
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
 
</div>

Business & Research Analyst

Norstella

<div>
 
 Description
 
 
 
 About Norstella:
 
 
 At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker&mdash;and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle &mdash;and get the right treatments to the right patients at the right time.
 
 
 Each Organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) Delivers Must-have Answers For Critical Strategic And Commercial Decision-making. Together, Via Our Market-leading Brands, We Help Our Clients
 
 
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 Citeline &ndash; accelerate the drug development cycle
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 Evaluate &ndash; bring the right drugs to market
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 MMIT &ndash; identify barrier to patient access
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 Panalgo &ndash; turn data into insight faster
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 The Dedham Group &ndash; think strategically for specialty therapeutics
 
 
 
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 </ul>
 By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Norstella is seeking a skilled and dynamic Product Owner with a background in data science and artificial intelligence to join our team. As a Product Owner, you will play a crucial role in driving the development and success of our innovative products in the life sciences industry.
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 You will collaborate closely with cross-functional teams, stakeholders, and clients to ensure the successful delivery of our market-leading solutions.
 
 
 
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 </ul>
 
 Responsibilities
 
 
 
 <ul>
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 Manage the product backlog and prioritize features based on business value, customer needs, and market trends.
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 Define, refine, and communicate product vision, goals, and user stories to the development team and stakeholders.
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 Collaborate closely with the development team to translate requirements into actionable tasks and ensure timely delivery of high-quality products.
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 Conduct market research, competitive analysis, and gather customer feedback to identify market needs and drive product enhancements.
 </li>
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 Work closely with stakeholders, including clients and internal teams, to gather requirements, address concerns, and ensure alignment on product strategy and roadmap.
 </li>
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 Facilitate agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
 </li>
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 Serve as the primary point of contact for product-related questions, issues, and updates from stakeholders and clients.
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 Maintain a deep understanding of customer personas and workflows, market challenges, competitors, industry regulations, and available technology to inform product decision-making.
 </li>
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 Collaborate with the UX/UI design team to create intuitive, accessible, secure, innovative, and user-friendly product interfaces.
 </li>
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 Ensure effective communication and collaboration across all levels of the organization, including technical and non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience as a product owner, product manager, data scientist, data analyst, or business analyst.
 </li>
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 Proven experience in managing product backlogs, defining user stories, and prioritizing features.
 </li>
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 Strong understanding of agile methodologies (Scrum, Kanban, etc.) and ability to apply agile principles in a fast-paced development environment.
 </li>
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 Excellent communication, presentation, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
 </li>
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 Exceptional problem-solving skills and ability to make data-driven decisions.
 </li>
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 Proficient in using project management and collaboration tools (e.g., JIRA, Confluence, Lucid, Figma, Monday) to manage product development processes.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Background in data science and artificial intelligence technologies within the life sciences, pharmaceutical, biotech, or healthcare industry.
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 Experience using SQL or other data access tools to enable self-discovery of data.
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 Experience working with diverse stakeholders, including healthcare providers, payers, and regulatory bodies.
 
 
 
 </li>
 </ul>
 Our Guiding Principles for success at Norstella
 
 
 
 01:
 
 Bold, Passionate, Mission-First
 
 
 
 02:
 
 Integrity, Truth, Reality
 
 
 
 03:
 
 Kindness, Empathy, Grace
 
 
 
 04:
 
 Resilience, Mettle, Perseverance
 
 
 
 05:
 
 Humility, Gratitude, Learning
 
 
 
 Benefits
 
 
 
 <ul>
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 Health Insurance
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 Provident Fund
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 Reimbursement of Certification Expenses
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 Gratuity
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 24x7 Health Desk
 
 
 
 </li>
 </ul>
 
 Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people&rsquo;s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual&rsquo;s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero tolerance policy to any form of discrimination, abuse or harassment.
 
 
 
 
 Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we&rsquo;re just as excited about you.
 
 
 
 
 All legitimate roles with Norstella will be posted on Norstella&rsquo;s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: ApplicationHelp@norstella.com.
 
</div>

Product Owner

Infosys

<div>
 You have a proven track record in using Workato and other B2B/EDI tools.
 
 
 <ul>
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 You are a team player and can communicate data structural concepts and ideas to both technical and non-technical stakeholders.
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 You have strong analytical skills and have an affinity with business concepts.
 </li>
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 Workato certification will be an advantage.
 </li>
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 Workato project experience will be a big plus.
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 You will be part of an innovative team that drives our Workato initiatives and to dive into business processes to determine root causes, quantify potential, and establish and drive improvement initiatives that make businesses more efficient.
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 You will set up and maintain data models that will be the basis of the analyses and work together closely with the business analysts to generate the customized set of analytics that serve as a single source of truth for business performance measurement as well as data-driven decision making.
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 You are responsible for setting data dictionary and maintaining data governance on the created structure.
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 You identify the best possible strategy for data collection, ensure the data quality and work together with the stakeholders responsible for the data input to ensure we can correctly measure and track all necessary information.
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 Collaborate with source system experts to ensure the source systems are set up correctly to gather all relevant information and support the most effective data structures.
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 Create and maintain comprehensive documentation for data models, processes, and systems to facilitate knowledge sharing.
 </li>
 </ul>
</div>

Workato Consultant

<div>
 
 Introduction
 
 
 
 IBM CIO Technology Platform Transformation
 
 
 The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
 
 
 As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
 
 
 
 Some Of The Key Responsibilities Of This Group Include
 
 
 
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 Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
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 Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
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 Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
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 Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
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 Providing guidance and expertise on technology trends, best practices, and standards.
 
 
 </li>
 </ul>
 This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
 
 
 
 Role Overview
 
 
 
 
 Your role and responsibilities
 
 
 
 As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
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 Implement AI, Data Science, and Technical Execution:
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 Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
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 Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
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 Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
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 Collect, clean, and preprocess structured and unstructured datasets.
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 Help refine data-driven methodologies for transformation projects.
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 Learn and utilize cloud platforms to ensure the scalability of AI solutions.
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 Leverage reusable assets and apply IBM standards for data science and development.
 </li>
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 Apply ML Ops and AI ethics.
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 Strategic Planning &amp; Execution
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 Translate business requirements into technical strategies.
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 Ensure alignment to stakeholders&rsquo; strategic direction and tactical needs.
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 Apply business acumen to analyze business problems and develop solutions.
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 Collaborate with stakeholders and team to prioritize work.
 </li>
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 Project Management and Delivering Business Outcomes:
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 Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
 </li>
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 Use agile strategies to manage and execute work.
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 Monitor project timelines and help resolve technical challenges.
 </li>
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 Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
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 Communication and Collaboration:
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 Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
 </li>
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 Create compelling data visualizations and dashboards.
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 Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
 
 
 <ul>
 <li>
 Experience with prompt engineering or fine-tuning LLMs.
 </li>
 <li>
 Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
 </li>
 <li>
 Understanding of model evaluation metrics specific to LLMs
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL and Python for performing data analysis and developing machine learning models.
 </li>
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 Experience and/or coursework in statistics, machine learning, generative and traditional AI.
 </li>
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 Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
 </li>
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 Familiarity with cloud-based platforms and data processing frameworks.
 </li>
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 Understanding of large language models (LLMs).
 </li>
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 Familiarity with object-oriented programming.
 </li>
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 Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
 </li>
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 Knowledge of APIs, Docker, Flask, or model serving technologies
 </li>
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 Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
 
 
 </li>
 </ul>
 
 Strategic And Analytical Skills
 
 
 
 <ul>
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 Strategic thinking and business acumen.
 </li>
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 Strong problem-solving abilities and eagerness to learn.
 </li>
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 Ability to work with datasets and derive insights.
 </li>
 <li>
 Attention to detail.
 
 
 </li>
 </ul>
 
 Communications And Soft Skills
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to explain technical concepts clearly.
 </li>
 <li>
 Independent and team oriented.
 </li>
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 Understands AI Ethics principles.
 </li>
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 Works openly and inclusively.
 </li>
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 Adaptable to fast-paced environments.
 </li>
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 Enthusiasm for learning and applying new technologies.
 </li>
 <li>
 Growth mindset.
 </li>
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 Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
 </li>
 </ul>
</div>

Data Scientist

<div>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 4+ years of relevant in advanced analytics and model development.
 </li>
 <li>
 4+ years of hands-on experience in Python and other open-source analytical tools.
 </li>
 <li>
 Strong expertise in data analytics, data handling, and statistical programming using modern IT tools.
 </li>
 <li>
 Understanding of Data Warehousing, Business Intelligence, and AI-based solutions.
 </li>
 <li>
 Proven experience in Agile methodologies, including iterative development and sprint planning.
 </li>
 <li>
 Experience working in highly regulated environments, ensuring data governance and compliance.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA). ________________________________________ Key Responsibilities
 </li>
 <li>
 Work on end-to-end data science engagements from problem definition to solution development.
 </li>
 <li>
 Design and implement advanced analytical models and process frameworks.
 </li>
 <li>
 Collaborate with different stakeholders, providing domain and technical thought.
 </li>
 <li>
 Perform Fit/Gap analysis and translate business needs into actionable data solutions.
 </li>
 <li>
 Ensure compliance with release governance and manage incidents using industry-standard tools.
 </li>
 <li>
 Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs). ________________________________________
 </li>
 </ul>
</div>

AI/DNA-Data Scientists

Explore 61+ Data analyst in Bangalore this December. Find roles across top companies and apply now to boost your career.

61 data analyst jobs IN Bangalore

Data Analyst

Data Analyst

Business & Research Analyst

Product Owner

Workato Consultant

Data Scientist

AI/DNA-Data Scientists