Senior SQL Data Analyst in Bengaluru, India - Jobeax
Vacancy description
Senior SQL Data Analyst in Bengaluru, India
ADM
India, Bengaluru
Senior SQL Data Analyst in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
About ADM: We are one of the world's largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.
About ADM India Hub: At ADM, we have long recognized the strength and potential of India's talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India. At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.
As a part of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies that may exist, and then create the specifications and designs that will allow us to develop intuitive solutions.
Provide deep functional & technical expertise for applications & products supporting one or more process areas Partner with Analytics Functional Architect(s) to participate in the preliminary investigation for project solutions requests, requirements gathering, collecting data from a variety of sources, evaluating and interpreting data, and drawing conclusions on solution options Provide input into system fit/gap analysis and design decisions Work with Solution Architects to identify system configuration needs and document functional requirements Ensure solution compatibility with documented architecture, security, and data standards Collaborate with other IT delivery teams to ensure efficient and effective design, development and implementation of end-to-end solutions Follow standard processes to create and maintain solutions documentation for projects, enhancements, and support requests. Share knowledge of technology risks and opportunities to improve efficiency and effectiveness within the respective process area Work with the Analytics Functional Architect and Technical Lead to support the development, maintenance, and communication of solutions roadmap for application(s) that service the business process Provide regular and accurate status updates and other documentation to management and team members for assigned project, support, and improvement work Communicates clearly ideas and findings with team members using Microsoft Word and PowerPoint Uses Excel skillfully to demonstrate technical and non-technical information, ideas, procedures, and processes Prior experience in an SAP and/or Informatica driven environment Ability to use SQL to analyze data
Bachelor's degree related to Information Systems, Business or other relevant academic discipline with a minimum 4 years job experience in IT or process area(s)
Required Experience:
5+ years as a data or systems analyst with a specialization in data warehousing (Data & Analytics) or MDM environments
Skillful in all Microsoft tools, especially Microsoft Excel, Word and PowerPoint
... training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics analysis methods Good knowledge of machine learning tools such as Scikit-Learn, ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... will be a plus Track record in managing deliveries of advanced analytical solutions in an agile & iterative model. - Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings ...
... defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering (k-means, HDBSCAN, hierarchical), embeddings ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... validation, batch pipelines, reconciliation, production support, and audit-ready https://jobeax.com/link/0tczEVIPDdr4h8mr Have :- Strong experience developing data integration, ETL/ELT, batch processing, and scheduled data delivery solutions.- Proficiency in SQL and experience working with enterprise data sources, file-based ...
... degree in Computer Science, Computer Engineering, Data Analytics, Business Analytics, or a relevant field. Required Experience 3+ years of experience in a Data Analyst, Business Analyst, BI Analyst, or similar role. Professional experience working with life science domain Demonstrated experience working in a software/data ...
... Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong ...
We are seeking a highly skilled and detail-oriented Senior Data Analyst / Data Governance Specialist with 7+ years of experience to drive data-driven decision-making and ensure robust data governance practices. The ideal candidate will have strong expertise in data analysis, SQL, data modeling, and governance frameworks ...
... relocation Remote Type: This position is fully remote Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and ...
... pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging ...
Job Description Build Appian process models, records, interfaces. Integrate APIs and external systems. Configure data stores, security rules. Conduct Appian testing & optimization. Appian BPM, SAIL, process models, integrations, SQL, APIs Qualifications B. Tech Range Of Year Experience-Min Year 4 Range Of Year Experience-Max ...
... in a business/systems analyst, data analyst, or related technical role - 3+ years of hands-on experience with relational database management systems (RDBMS) Database & SQL Expertise : Advanced proficiency in SQL coding, data normalization, and query optimization; strong experience with Microsoft SQL Server, T-SQL, SSMS, ...
... Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics . Ability to work with large, complex datasets and draw reliable insights. Experience ...
... skills - Proficiency in Microsoft Excel or similar spreadsheet tools - Good understanding of SQL and relational databases - Basic understanding of statistics and data analysis techniques - Familiarity with Power BI, Tableau, or similar data visualization tools - Basic knowledge of data cleaning and data preparation - Familiarity ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
... recurring insight packs and basic statistical summaries under supervision.- Run data quality checks and validate metrics.- Support test cases, documentation and data validation for dashboard https://jobeax.com/link/uZNeF9ElGyYiAC23 We Expect From You :- Build strong SQL and data-hygiene habits early; accuracy matters more ...
... activities and site communications. Collaborate with the project team to address issues, resolve discrepancies, and ensure trial milestones are met. Support data management activities by ensuring timely and accurate data collection and entry. Participate in audits and inspections as required, providing necessary documentation ...
... and Invoice Management solution ensuring all service level agreements are met Typical Work Activities include: - Use the SmartStream solution to match client data and highlight any exceptions, including resolution of complex and aged exceptions escalated by junior analysts - Raising data exceptions and owning the investigation ...