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Tech Stack: Python, Snowflake, DBT, SQL, Kafka, Docker, Kubernetes. You have at least 5 years of professional experience with Python, SQL, database design, and have experience working with data warehouses like Snowflake to generate complex solutions at scale.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience using SQL and Data visualization tools such as Tableau or Power BI. Topps, under Fanatics Collectibles, is seeking a highly motivated Reporting and Analytics Associate to join the eCommerce team.
$107,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency in PostgreSQL, SQL, dbt, or similar data warehousing technologies. A deep understanding of data governance, data quality practices, and developing self-serve analytics solutions.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience using analytics / BI packages (e.g., SAS, R, SQL, Cognos, Business Objects) to build client analysis solutions. A minimum of 5 years’ programming, application or reporting development experience and analytical experience (SAS, SQL, Crystal Reports, etc.
$131,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Role will require a high level of proficiency in SQL. What you’ll do: Support our sales organization by providing valuable insights from a myriad of data sources including usage logs, analytics platforms, ad delivery reports and 3rd party research.
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3+ years of experience using statistical and computer languages (R, Python, SQL, Java, AWS, etc. Proficiency in SQL and statistical packages (e.g., SPSS Modeler, SAS) is a plus. Query databases, create data sets (SQL), and build dynamic dashboards for key KPIs, consumer/campaign insights, and empower channel leads to discover actionable insights.
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Ability to program in SQL. Experience working with measurement partners for brand lift, conversion lift, MMM and MTA (e.g., Millward Brown, Nielsen, Lucid, Dynata, Neustar. Experience with Google Campaign Manager, Double Verify, DMPs, DSPs, Google Analytics required.
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Experience using analytical tools such as Python, R, SQL, SAS, etc. You will work with data and analytical tools, and collaborate closely with the rest of the Risk Ops team, as well as members from other support teams like Data Science, Data Analytics, Engineering, Product, etc to share their findings, propose changes and/or recommendations, and lead the efforts to drive those changes.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Specializes in advanced statistical and/or econometric modeling utilizing SAS or R software, Excel/VBA, SQL, Python and other programming languages and applications; Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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Strong technical skills, including the ability to independently execute complex data analytics in at least one programming language (e.g., SQL, SAS, SPSS, Stata, R, etc. HAP Tech, a subgroup of BRG’s Healthcare Analytics practice (HAP), is one of the firm’s largest and fastest growing teams.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with some or all of the following technologies to build analysis and drive insights from data Database: Oracle (PL/SQL), Microsoft SQL Server (T-SQL) Analytics tools: R, Python, Alteryx Reporting tools: PowerBI, Tableau, Excel Azure.
$143,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong technical proficiency with data analysis/analytics tools and platforms including GCP, Snowflake, Tableau or other data visualization tools, and Mixpanel or other product analytics tools Experience building and maintaining data pipelines in production Expertise in SQL with a proven ability to write high-quality, efficient SQL queries Familiarity with AI technologies such as machine learning models and natural language processing to analyze and interpret complex data sets.
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Adept technical/functional experience in Excel, BI Tool(s), and SQL.Experience and familiarity with statistical methods and data tools (R, Python, SQL) that can be used to conduct statistical analyses.
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Experience with data engineering techniques and tools such as Spark, SQL, Python, Tableau, etc. As a vital member of Portfolio Management Analytics – Data & Platform team within the global Institutional Credit Management (ICM) group, you will be at the forefront of designing, developing, and deploying large-scale data solutions that fortify our firm’s risk management strategies.
$181,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
sql job Title: analytics in New York, NY
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