... delivery experience. Exhibit high data literacy with the ability to process and analyze large datasets. Leverage data analysis/visualization tools (e.g., Alteryx, Python, Tableau) as applicable. Uphold strong data governance orientation (e.g., MDM) when working with critical client data. Communicate clearly in writing and verbally ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... by applying advanced statistical techniques and programming expertise. Assist Commercial stakeholders in scenario planning and forecasting Deep expertise in data science technologies, including statistical programming languages (Python, R), advanced statistical techniques, and data manipulation tools. Proven experience ...
... patterns. - Develop robust ingestion, ETL/ELT and integration pipelines using SQL, Python or PySpark as appropriate. - Design and maintain dimensional and analytical data models, including star schemas, facts, dimensions and Power BI semantic models. - Implement automated data-quality, validation, reconciliation and schema-change ...
... to accurately manage, update, and maintain business-critical data. The ideal candidate should be comfortable working in US business hours and possess strong data management, communication, and MS Office skills. Key Responsibilities Enter, update, verify, and maintain data in internal systems and databases. Review data ...
... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...
Job Requirements Job Title: Data Entry Operator Location: Hyderabad, Telangana Salary: Competitive Qualification: High school diploma or equivalent Work Experience: 0-5 years Job Description Join Reycruit as a Data Entry Operator. Input and manage data accurately to support operations. Responsibilities Enter data accurately ...
... Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management ...
Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...
... transformational change initiatives, including data governance, data quality, or analytics transformation https://jobeax.com/link/LsX0MHwADPrlj8n9 technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Understanding of data lineage concepts and ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... skills Work Experience: 0-3 years Job Description Be a part of mycityband as a Data Entry Operator in Hyderabad/Secunderabad and Ahmedabad. Your role is to input data accurately to help with various tasks. Responsibilities Enter data accurately into our computer systems Check and fix any mistakes in the data Keep electronic ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... including advanced query writing and database management. Strong programming foundation in Python: Data manipulation and analysis using Pandas, NumPy, and PySpark. Data serialization and formats — JSON, CSV, Parquet. Database interaction to query cloud-based data warehouses. Cloud services such as S3 and AWS Lambda for infrastructure ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership experience : Proven experience leading teams of analysts and managing analytical deliverables- People management ...
... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... Experience with MDM / Data Governance platforms such as Syniti, SAP MDG, Informatica MDM, or any home grown Strong understanding of data governance operating models, data ownership, data stewardship, workflow approvals, data quality rules, metadata, and data lifecycle management. Experience in data profiling, cleansing, harmonization, ...