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Must have strong Excel proficiency and the ability to complete complex Excel tasks and experience with VBA (knowledge of the following is a plus: R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake)Ability to proactively communicate (i.e., when behind on deliverables or seeking assistance.
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Experience within Quality Analytics, HEDIS or Medicare Star Proficiency in any of the following analytics tools: SQL, SAS, Alteryx, R, Python, Tableau, Power BI, CognosKnowledge, Skills and AbilitiesStrong ETL knowledge in a data warehouse ecosystem.
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Use different coding and/or programming platforms, including the use of data management software such as SQL, Tableau, Python, to accurately obtain data from NYC Aging data sources.
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Expertise in Python, SQL, and Linux. Python, SQL, and Linux. Seeking a highly skilled and experienced Data Analyst to join our company. As a Data Analyst, you’ll be responsible for accessing, acquiring, and administrating property-ownership data from counties across the United States.
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Experience with data management tools and applications, including process mapping and lineage toolsets (Ex: SQL, Collibra, etc.) Continuously collaborate with CDO teams to ensure a comprehensive view of the full picture of data flow and data quality controls.
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You have previous experience spanning product analytics, data analytics and data science, and are proficient in SQL and statistical programming in Python. As a Senior Data Analyst, you will translate data into insights and drive improvements to our product, operations, and strategy.
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In this role, you will predominately use a tech stack of Tableau, SQL, Visual Studio Code, Snowflake, and Excel to answer questions from data sourced from our ERP, CRM, and various internal and external data sources.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with SQL Server 2008/2012/2014/2016. 2+ of experience working with SQL and Excel. Any experience with Oracle Financial Application, API, ETL / SSIS, ODI, data marts, etc is desired.
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Good knowledge of SQL programming preferably with databases such as Oracle Exadata. 10+ years' experience with at least 3+ years' experience as a data analyst. Knowledge of Big Data Architectures and Cloud computing.
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Proven experience with SQL for data extraction, transformation, and loading. Write complex SQL queries to extract, transform, and load (ETL) data from various sources. 10 years of experience as a Data Analyst or similar role.
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Knowledge of data warehouse strategies, ETL processes and in using the following tools: Tableau, SQL and Python/R is also required. Duties & Responsibilities: Provide data wrangling services to make data (structured and unstructured), by transformations, normalization, and data mapping, consumable for a variety of downstream purposes such as applications, visualizations, and analytics Design and model analytical methods based on the statistical methods.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data analysis and visualization skills (e.g., SQL, Python, Tableau, Power BI). Support the development of process flows, data flow diagrams, and use cases. Data analysis and visualization skills (e.g., SQL, Python, Tableau, Power BI.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Hands on experience analysing large complex databases, t-SQL. Experience working with EMR's, Athena, Provider Data experience is must. Provides ad hoc reporting, querying data and creating usable reports.
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Knowledge of AQW, MDW, PDS, Agency Quoting, FAO, DEAL, and possibly Salesforce, and the ability to access these through SQL, SAS, R, Python, etc., is preferred. As a Data Analyst Senior in the Agency System and Experience (ASE) team, you'll spearhead analytics for the innovative Book Builder program at Progressive, aimed at revolutionizing the way partner agents requote competitor policies.
$102,800 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Develop robust software solutions for data collection, storage, processing, and visualization using cutting-edge technologies and programming languages such as Python, R, SQL, etc. Fluency with one or more graph query languages, Python, and SQL are required, as is an ability to interact with non-relational data structures, such as data stored in the JSON and XML formats.
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sql job Title: data analyst in New York, NY
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