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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) Data visualization (e.g. Tableau, Looker, MicroStrategy) Advanced knowledge one of language: Java, Scala, Python, C.
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1-3 years of experience with programming languages (e.g., Python, R, SAS, SQL, VBA). Experience with business intelligence and data visualization tools (e.g., PowerBI, MicroStrategy, Tableau.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Proven expertise with Tableau, Power BI, RStudio and Databricks MLflow.
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Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica) Familiarity with Analytical Workbenches such as R/Python, Alteryx, Dataiku, KNIME, AWS Sagemaker etc.
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Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau. Senior Python Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You have strong skills in Python, R, SQL, and Hive queries.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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Working experience with any or all the following is a plus:o AWS Services (such as S3, Workspaces, Lambda, DMS, Glue, and Athena)o Columnar and relational databases (like Redshift, SQL Server, or Aurora)o Programming Languages (like Python, R, or VB) o Data visualization and reporting tools (like Tableau) o ETL tools (like SSIS, or Informatica.
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Experience working with data analytics tools such as Python, R, MATLAB, Tableau or Power BI. Mathematica, Python, R) Developing a data analytics pipeline using data lake and data warehouse architectures with data analysis (Python, R) and visualization Skills/Education/Certification.
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Proficiency in data analysis tools such as SQL, Postgres SQL, Java, JavaScript, Python, R, or similar programming languages. Experience with data visualization tools such as Domo, Power BI, or Tableau.
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Familiarity with Advanced Analytics tools of data warehousing and mining such as: Scala, R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau, Spotfire, etc. Knowledge of visual tools such as: Tableau, Power BI, etc.
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