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data analyst- power bi & sql Jobs in Mangaluru

data analyst- power bi & sql

senior data scientist

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 Title: Senior Data Scientist &ndash; GBS Commercial
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager &ndash; GBS Commercial
 
 
 
 
 
 
 
 
 
 PURPOSE OF ROLE
 
 
 
 
 
 
 We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams
 
 
 
 
 
 
 KEY TASKS AND ACCOUNTABILITIES
 
 
 
 
 Data Science &amp; Product Leadership:
 
 
 <ul>
 <li>
 Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs.
 </li>
 <li>
 Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement.
 </li>
 <li>
 Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products.
 </li>
 </ul>
 
 
 
 
 
 People Management &amp; Team Development:
 
 
 <ul>
 <li>
 Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture.
 </li>
 <li>
 Oversee performance management, career development, and upskilling initiatives within the team.
 </li>
 <li>
 Set clear objectives, provide constructive feedback, and guide team members towards excellence.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Stakeholder Management:
 
 
 <ul>
 <li>
 Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions.
 </li>
 <li>
 Engage with end users to gather feedback, iterate on features, and improve application usability.
 </li>
 <li>
 Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications.
 </li>
 <li>
 Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions.
 </li>
 <li>
 Present insights and recommendations to senior leadership, enabling data-driven decision making
 </li>
 </ul>
 
 
 Process Improvement &amp; Innovation:
 
 
 <ul>
 <li>
 Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability.
 </li>
 <li>
 Propose new features and enhancements to improve user experience and streamline business processes.
 </li>
 </ul>
 
 
 Documentation &amp; Reporting:
 
 
 <ul>
 <li>
 Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides.
 </li>
 <li>
 Develop and share reports, dashboards, and presentations that communicate business impact and technical findings
 </li>
 </ul>
 
 
 Support &amp; Troubleshooting:
 
 
 <ul>
 <li>
 Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control.
 </li>
 <li>
 Ensure system stability, security, and compliance with relevant data governance standards.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills &amp; Technologies:
 
 
 <ul>
 <li>
 
 Programming:
 
 Python (Pandas, scikit-learn, PySpark), SQL
 </li>
 <li>
 
 Machine Learning:
 
 End-to-end ML model development &amp; deployment
 </li>
 <li>
 
 Data Engineering:
 
 ETL pipelines, data modeling, Spark/Airflow (preferred)
 </li>
 <li>
 
 API/Product Development:
 
 Flask/FastAPI, integration with business applications
 </li>
 <li>
 
 Cloud &amp; DevOps:
 
 AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins)
 </li>
 <li>
 
 Databases:
 
 PostgreSQL, MySQL, NoSQL (desirable)
 </li>
 <li>
 
 Version Control:
 
 Git, collaborative workflows
 </li>
 <li>
 
 Visualization:
 
 Power BI, Tableau, or similar (preferred)
 </li>
 <li>
 
 Storytelling with Data:
 
 Ability to convey insights through impactful data visualizations and clear narratives
 </li>
 <li>
 
 Good to have:
 
 Experience with LLMs, GenAI, or agent frameworks
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Senior Data Scientist

Perfios

<div>
 
 
 Primary Function:-
 
 
 
 As a Senior Data Scientist, you will:
 
 
 ● Work collaboratively with the engineering and product teams.
 
 
 ● Communicate and articulate complex issues &amp; technologies easily to stakeholders at different levels.
 
 
 ● Think through problems and drive solutions from inception to shipment.
 
 
 ● Keeping abreast of research trends in the field of Deep Learning/vision/NLP.
 
 
 
 
 
 
 Qualification &amp; Competency:-
 
 
 
 ● Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field.
 
 
 ● 3-5 years of experience in building complete ML products; from the problem analysis and data selection to their production deployment
 
 
 and monitoring for progressive enhancements and drifts from business impact.
 
 
 ● Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP
 
 
 ● Ability to rapidly prototype and evaluate algorithms.
 
 
 ● Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines
 
 
 specific to use cases.
 
 
 ● Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow.
 
 
 ● Good programming skills is a must, especially skills relevant to building robust ML models.
 
 
 ● Domain experience in Fintech is preferred, but not mandatory.
 
 
 ● Experience of publishing in top-tier conferences and journals will be considered a plus.
 
 
 
</div>

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
 </li>
 <li>
 Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods.
 </li>
 <li>
 Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve large, complex problems.
 </li>
 <li>
 Ability to present to executives and communicate effectively with highly technical leadership teams.
 </li>
 <li>
 Ability to manage multiple assignments simultaneously in a fluid environment.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with large, complex internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.
 </li>
 <li>
 Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
 </li>
 <li>
 Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements.
 </li>
 <li>
 Develop, own and evolve investigative frameworks providing source of truth measures for the organization.
 </li>
 <li>
 Conduct deep dives revealing opportunities and risks, enabling the team to understand trends and prioritize resources.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Senior Data Scientist, Product, Android App Safety

WorkOnGrid

<div>
 We are looking for a passionate Data Scientist with 3-5 years of experience in the energy sector to join our team. In this role, you will leverage advanced data science, machine learning, and deep learning techniques to solve real-world challenges in energy demand forecasting, smart grid optimization, renewable integration, and asset performance. You will work closely with business stakeholders, domain experts, and data engineers to turn complex datasets into actionable insights that drive efficiency, sustainability, and innovation in the energy industry. This role offers the opportunity to contribute directly to the transformation of the energy sector through AI-driven solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders and domain experts to understand challenges and opportunities within the energy sector.
 </li>
 <li>
 Design and develop machine learning and deep learning models for energy applications such as demand forecasting, grid management, renewable integration, and equipment optimization.
 </li>
 <li>
 Acquire and prepare data from diverse sources (IoT sensors, smart meters, SCADA systems, weather data, and market prices), ensuring quality and readiness for analysis.
 </li>
 <li>
 Conduct EDA to identify patterns, correlations, and anomalies that drive actionable insights.
 </li>
 <li>
 Implement data science solutions using regression, classification, clustering, and neural networks to improve decision-making and operational efficiency.
 </li>
 <li>
 Evaluate model performance with appropriate metrics and continuously refine models for accuracy and reliability.
 </li>
 <li>
 Develop clear dashboards, reports, and data visualizations to communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Stay updated with emerging trends in AI, IoT, renewable energy technologies, and energy analytics.
 </li>
 <li>
 Collaborate with Data Engineers to enhance data infrastructure, collection strategies, and model deployment processes.
 </li>
 <li>
 Provide technical guidance and mentor junior data scientists or analysts when required.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Master's in Data Science, Computer Science, Engineering, or a related quantitative field.
 </li>
 <li>
 3-5 years of experience as a Data Scientist, with a focus on the energy/utilities/renewables domain.
 </li>
 <li>
 Strong programming skills in Python, with hands-on experience using pandas, scikit-learn, TensorFlow, PyTorch, or Keras.
 </li>
 <li>
 Proficiency in SQL for data querying and transformation.
 </li>
 <li>
 Strong foundation in machine learning algorithms, statistical analysis, and deep learning frameworks.
 </li>
 <li>
 Experience with data visualization tools (Tableau, Power BI, etc. )
 </li>
 <li>
 Familiarity with big data technologies (Hadoop, Apache Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Domain expertise in areas like renewable energy, power generation, smart grids, oil &amp; gas exploration, or energy trading.
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with experience working on large, complex datasets.
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 This job was posted by Athmiya Hm from WorkOnGrid.
</div>

Data Scientist (Energy Sector)

Data Scientist, Product Analytics

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.
 
 
 Senior Manager &ndash; Analytics
 
 
 Location: eBay India Analytics Center (Bangalore)
 
 
 Function: Global Analytics Team &ndash; Focus Categories (Fashion, Collectibles, Vehicles Parts &amp; Accessories, Live Commerce)
 
 
 eBay&rsquo;s India Analytics Center is a core part of the global analytics organization, with 75+ highly skilled business analysts, data scientists, and ML engineers supporting key functions across finance, category management, seller support, shipping and logistics, and monetization. We are now seeking a Senior Manager &ndash; Analytics to lead analytics and data science initiatives for our Focus Categories, which represent eBay&rsquo;s most strategic bets.
 
 
 This leadership role is ideal for a seasoned analytics professional with deep technical expertise, strong business acumen, and proven experience in building and leading high-performing teams in a consumer internet environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Leadership &amp; Team Management
 </li>
 <li>
 Lead, mentor, and develop a team of 20+ business analysts and data scientists, fostering a culture of innovation, collaboration, and problem-solving.
 </li>
 <li>
 Drive adoption of best practices in analytics, experimentation, and machine learning deployment.
 </li>
 <li>
 Analytics &amp; Data Science Delivery
 </li>
 <li>
 Design and deliver interactive dashboards, AI-driven data products, and predictive ML models to enable business-critical decision-making.
 </li>
 <li>
 Lead initiatives to predict customer behavior, including purchase patterns, CRM campaign responses, and churn/upsell/cross-sell potential.
 </li>
 <li>
 Oversee product analytics efforts, including experiment design, A/B testing, and statistical validation, to optimize customer experiences and business outcomes.
 </li>
 <li>
 Business Partnership &amp; Stakeholder Management
 </li>
 <li>
 Act as the primary analytics partner to senior business leaders in Focus Categories (Fashion, Collectibles, Vehicle Parts &amp; Accessories, Live Commerce).
 </li>
 <li>
 Translate complex data insights into actionable recommendations, influencing strategic decisions across category management and customer engagement.
 </li>
 <li>
 Represent the India Analytics Center to global stakeholders, building trust and credibility through impactful delivery.
 </li>
 <li>
 Innovation &amp; Thought Leadership
 </li>
 <li>
 Champion the application of advanced ML modeling techniques to business challenges.
 </li>
 <li>
 Identify opportunities to leverage emerging technologies and tools in AI/ML for competitive advantage.
 </li>
 <li>
 Drive continuous improvement in analytics methodologies, data quality, and automation.
 
 
 
 </li>
 </ul>
 
 Candidate Qualifications
 
 
 
 <ul>
 <li>
 Experience
 </li>
 <li>
 12&ndash;15 years of progressive experience in data analytics and data science, with at least 5+ years in leadership roles.
 </li>
 <li>
 Proven track record of applying analytics in a consumer internet / e-commerce environment highly preferred.
 </li>
 <li>
 Strong people management experience, with demonstrated ability to lead and scale teams of 15+ professionals.
 </li>
 <li>
 Technical Expertise
 </li>
 <li>
 Hands-on background as an analyst/data scientist, with deep proficiency in SQL, R, Python, and standard ML libraries.
 </li>
 <li>
 Exposure to advanced ML techniques (predictive modeling, classification, clustering, recommendation engines, NLP).
 </li>
 <li>
 Expertise in product analytics: experimentation frameworks, A/B testing platforms, and causal inference techniques.
 </li>
 <li>
 Strong understanding of data visualization, BI tools, and dashboard design.
 </li>
 <li>
 Educational Background
 </li>
 <li>
 Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Economics, or related field. Advanced degree (Master&rsquo;s/PhD) is a plus.
 </li>
 <li>
 Leadership &amp; Soft Skills
 </li>
 <li>
 Excellent stakeholder management skills, with the ability to communicate complex analyses to non-technical audiences and influence at senior levels.
 </li>
 <li>
 Strong problem-solving mindset with a bias for action and an entrepreneurial spirit.
 </li>
 <li>
 Passion for leveraging AI and data science to solve high-impact business problems.
 
 
 
 </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>

Sr. Manager Analytics & Data Science

<div>
 Position Description
 
 
 At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
 
 
 This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
 
 
 Your future duties and responsibilities
 
 
 Job Title: Data Scientist
 
 
 Position: Associate Consultant
 
 
 Experience : 4 to 7 Years
 
 
 Main location: Bangalore/Chennai/Hyderabad
 
 
 Position ID: J0825-0344
 
 
 Employment Type: Full Time
 
 
 We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement machine learning models for NLP sentiment analysis and scoring
 </li>
 <li>
 Create and optimize app recommendation systems using advanced ML techniques
 </li>
 <li>
 Build and maintain sales forecasting models to drive business insights
 </li>
 <li>
 Design and implement MLOps pipelines for model training, deployment, and monitoring
 </li>
 <li>
 Containerize ML applications and deploy them on Kubernetes clusters
 </li>
 <li>
 Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services
 </li>
 <li>
 Utilize BigQuery for large-scale data analysis and feature engineering
 </li>
 <li>
 Continuously improve model performance and operational efficiency
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in machine learning and data science roles
 </li>
 <li>
 Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers)
 </li>
 <li>
 Experience with recommendation systems and time series forecasting
 </li>
 <li>
 Solid understanding of MLOps principles and practices
 </li>
 <li>
 Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis
 </li>
 <li>
 Experience with containerization (Docker) and orchestration (Kubernetes)
 </li>
 <li>
 Familiarity with CI/CD pipelines and version control systems (e.g., Git)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with TensorFlow and/or PyTorch
 </li>
 <li>
 Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop)
 </li>
 <li>
 Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing)
 </li>
 <li>
 Understanding of data privacy and security best practices
 </li>
 <li>
 Experience with data visualization tools (e.g., Data Studio, Looker)
 
 
 </li>
 </ul>
 Key Skills:
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Natural Language Processing
 </li>
 <li>
 Recommendation Systems
 </li>
 <li>
 Time Series Forecasting
 </li>
 <li>
 Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 Docker
 </li>
 <li>
 Python
 </li>
 <li>
 MLOps
 </li>
 <li>
 Data Analysis and Visualization
 </li>
 <li>
 Data Ingestion and Wrangling
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

Data Scientist

Explore 350+ Senior data scientist in Mangaluru this September. Find roles across top companies and apply now to boost your career.

350 senior data scientist jobs IN Mangaluru

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist, Product, Android App Safety

Data Scientist (Energy Sector)

Data Scientist, Product Analytics

Sr. Manager Analytics & Data Science

Data Scientist