... data solutions. Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics. Integrate data from various sources including APIs, flat files, relational databases, and cloud services. Ensure data quality, data governance, and compliance ...
... years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory analysis to test hypotheses and surface patterns 1 to 5 years in data analysis, research, or analytics - Working knowledge of SQL and strong spreadsheet ...
We are looking for a skilled and proactive Senior Data Analyst to take ownership of multiple designated client accounts. The role involves applying analytics and visualization techniques to drive better business decision-making while independently managing client interactions and expectations. Responsibilities: Understand ...
... convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT's Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate ...
8+ years of experience in Teradata, Python, and Julia. Strong experience in data engineering and data analytics. Good knowledge of Provider domain. Experience working with Teradata databases. Strong Python skills for data processing and automation. Experience using Julia for analytics and modeling. Knowledge of building ...
... with hyper-focused, domain-cantered teams and cutting-edge tech, data, and analytics. The Data Analyst is responsible for receiving, vetting, and fulfilling data and reporting requests from clients and internal teams. This role ensures the accuracy, confidentiality, and usability of data delivered to stakeholders and supports ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
Role Overview:As a Data Scientist II, you will serve as a pivotal bridge between complex data architecture and actionable business strategy. Your day-to-day involves architecting sophisticated machine learning models, conducting deep-dive exploratory data analysis, and translating technical findings into high-impact narratives ...
... zones Detail-oriented and accuracy-focused Collaborative and proactive mindset Continuous improvement mindset Problem Solving Mindset Experience 3–8 years in data analytics / BI, preferably manufacturing Education Engineering or Data Analytics / Computer Science Success KPIs Data accuracy and reliability Dashboard adoption ...
... teams to deliver scalable data solutions. Innovation & Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field. - 3-5 years of experience in data science, preferably ...
... learning pipelines to solve complex problems in credit risk, fraud detection, and personalized financial services. You will collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous financial data into scalable, production-grade models. By deploying high-impact algorithms, ...
... BI reports, dashboards, and user access. Extract and share data from SAP (e.g., sales reports, customer details) in Excel format. Prepare and validate Excel data for incentive calculations and other business requirements. Ensure data accuracy and consistency across reports. Support ongoing data-driven initiatives and process ...
... scientists, fostering innovation, collaboration, and continuous learning.- Governance & Scaling : Establish best practices for responsible AI, ensure compliance with data regulations, and scale advanced analytics solutions across functions and geographies.- Model Development : Design, build, and optimize advanced statistical and ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
Position Overview:We are looking for a Data Engineer with hands-on experience in Apache Airflow, Python, and Jupyter Notebook to build, orchestrate, and maintain robust data pipelines that power our analytics and business decisions. In this role, you will work closely with data teams to clean, transform, and move data reliably ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... production environment.- Strong command over NLP techniques and Deep Learning architectures, with the ability to implement custom solutions for unstructured data.- Expertise in Python and core data science libraries, combined with a deep understanding of machine learning algorithms and statistical modeling.- Excellent ...
... communication of data-driven strategies. Experience Required: - 9–12 years in Data Analytics and Power BI dashboard development. - Collect, analyze, and validate ITSM data to support decision-making. - Gather data from tools like ServiceNow and Power BI, perform data validation and cleansing. - Conduct statistical analysis and data ...