3,227 data analyst excel jobs in India.

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... concepts and best practices - Possess a balance of creative passion, disciplined strategic thinking, an analytical mindset, and a willingness to be hands-on - Excellent knowledge of office productivity software (e.g., Excel, Google Sheets) and relevant digital marketing tools PREFERENCES: - Proven experience as a T-shaped ...

... reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science / AI / ML roles Experience in Gen AI Agentic AI will be preferred Relevant years of experience ...

... efficiencies across all enterprise functions. With support from Data Analysts team, the Sr. Data scientist identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data ...

... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices. Collaborate with various teams and stakeholders to support end-to-end data platform delivery. Demonstrates strong ownership while driving data engineering excellence. Promotes quality-focused engineering through proactive validation, ...

... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...

... warehouse. Implement advanced data modeling techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate closely with data scientists and analysts to provide clean, structured ...

... Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.- Optimize data storage ...

... optimization, with hands-on experience in Python, SQL, Bayesian modelling, and cloud-based machine learning environments such as AWS SageMaker. Lead and mentor a team of data scientists and provide technical direction across multiple data science projects. Own the end-to-end delivery of data science solutions, from problem definition ...

... cost-efficiency of production data infrastructure , with monitoring, alerting, and SLAs appropriate for a system that makes real-time risk decisions Collaborate with data science and ML teams to design feature stores and data pipelines that shorten the path from raw signal to deployed model Champion data engineering best practices, ...

Our Search datascience team is building a world class search system for Walmart e-comm customers. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyze Walmart's proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart ...

... engineers, domain experts, product teams, and business stakeholders to identify high-valuemachine learning opportunities. Translate industrial challenges into data science problems and deliver practical, scalable solutions. Build robust data pipelines, feature engineering workflows, and model evaluation frameworks. Monitor ...

... well-documented code in Python, leveraging libraries such as pandas, scikit-learn, statsmodels, and Prophet. Use SQL and PySpark to extract, transform, and analyze large datasets from cloud-based data platforms. Collaborate with data engineers and software developers to integrate models into production systems. Monitor model performance ...

... of data you find satisfaction in messy datasets made clean and hard questions made answerable.- Strong hands-on experience in data research, data quality/QA, data science, or analytics engineering (typically 5 - 9 years).- Fluency with Python and SQL and modern data tooling; comfort digging into large, real-world datasets.- ...

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