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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. The Senior Data Analyst will work with members of the Insights Team and key internal partners to munge, analyze, model, and interpret data to answer key questions that advance our insights agenda.
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As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes.
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Joining as Senior Business/Data Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors.
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Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc. Advanced experience in writing codes in Java/Python, either on general programming ability or data processing ability with several data formats (CSV/TSV/JSON/XML.
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Experience with cloud-based data warehousing platforms such as Synapse, AWS Redshift, Google BigQuery, or Snowflake. Mentor and train other data engineers on best practices for data engineering and Databricks usage.
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Data analytics and data visualization tools, preferably MS Power BI. Train, develop and manage IT Data Analytics Report Writer team. 3+years' experience with a data analytics and data visualization tools, industry experience is a plus.
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Partner with the Product & Production Support team(s) as a Data/DevSecOps/Technical SME for migration of re-architected Product/Product functionalities to the new Cloud Platform. Build, Release Management & DevSecOps support for various data solutions owned and managed by IDA organisation.
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Experience working with cloud-based data platforms, such as Databricks (preferred), BigQuery, Redshift, etc. In this role, you will design and implement the key payment data models for various analytics, ML/AI solutions, and data-centric product features, which includes building batch/stream ETL pipelines for payment golden datasets, creating unified data monitoring and alerting system for operation excellence, and setting up the standard for payment data governance.
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Specifically, the Senior Tableau Developer will work with EIA (Enterprise Information Analytics) , data governance staff, business analyst, end users, and data owners to:Collaborate with the Enterprise and technical team and other stakeholders to understand data needs.
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Summary: This is a Data Quality Analyst role for the Enterprise Data Strategy team, focused on the PROVIDER data domain. The Data Quality Analyst - Provider Data Domain is a downstream data role that requires a candidate with strong data management background who understands data, how to ingest data, proper use/consumption, data quality, and stewardship.
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The business data analyst will work strategically to support research, data aggregation/cleansing, and analysis in support of developing visualizations and providing insights for corporate partnerships, marketing, and other internal business stakeholders, while maintaining the integrity of the Lakers brand, partners, and fanbase.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. What Data Science contributes to Cardinal Health.
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data job Title: data analyst Company: Aspca
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