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 ...
... cross-site performance benchmarking Work across time zones to deliver insights for global operations and leadership teams Required Skills – Technical Power BI SQL and database querying Data Cleaning Snowflake or similar cloud data platforms Advanced Excel (Power Query, Power Pivot) ERP systems (preferably SAP) Required Skills – ...
We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyze consumer ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... develop knowledge of how, when and which data sources to use Deep dive into massive data sets to answer key business questions using SQL, MS Excel and other data manipulation languages Build new reports/dashboards to enable emerging business use cases Partner with Data Engineering team to deploy new data technology Present ...
... experience with EPM/CPM implementation strongly preferred - Experience in applying problem solving skills (quantitative, conceptual, analytical) - Strong Microsoft Excel skills - Data Integration and data modeling experience, or a willingness to learn - Experience or knowledge of database management (i.e. ETL, Oracle, SQL Server, ...
... fast-paced environment. Excellent verbal and written communication skills for collaborating with team members, property managers, and external stakeholders. Solid understanding of accounting principles, financial statements, and real estate operations. Attention to detail and accuracy in data entry and financial analysis.
... appointments, and travel itineraries. - Coordinate and follow up on key action points, strategic initiatives, and ongoing projects. - Conduct research and compile data to support decision-making. - High level of proficiency in MS Office (Word, Excel, PowerPoint, Outlook). - The MD's calendar, meetings, and travel are managed ...
... management consulting or high growth startups 1+ year of experience in SQL and Python is required Advanced expertise in data analysis; highly proficient in MS Excel Ability to think quantitatively and qualitatively about business problems and come up with solutions Experience in modern Business Intelligence/ Data visualisation ...
... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...
... Power 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 ...
... Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. - Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP). - Excellent communication and stakeholder ...
... activities, and business events, ensuring smooth execution of end-to-end logistics. Prepare reports, analyze dashboards, and generate business insights using advanced Excel, PowerPoint and other reporting tools to support data-driven decision-making and operational excellence. Support leadership initiatives, special projects, and ...
... relevant field. - Minimum 3-10 years of experience as an Executive Assistant or related role. - Strong organizational, time management, and prioritization skills. - Excellent communication, written and verbal, with impeccable grammar and spelling. - Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). - Ability ...
... challenges into actionable data science solutions and communicate findings effectively to technical and non-technical audiences.- Mentorship : Guide and mentor junior data scientists and analysts, fostering a culture of technical excellence and continuous learning.- Infrastructure & Deployment : Work with data engineering teams ...
... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)
... can architect and build high-volume, production-grade data platforms while providing strong technical leadership. The candidate should be comfortable working across cloud, data engineering, DevOps, and emerging AI technologies and should be able to mentor engineers while driving technical excellence. (ref:hirist.tech)
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 ...
... analytics and expertise in SQL and Python/R. Experience with Reporting and Business Intelligence tools like Tableau, Qlikview, Looker, etc. Ability to understand data architecture and data engineering pipelines is good to have. Ability to communicate complex quantitative insights in a precise, and actionable manner Strong communication ...