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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
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Experience with business intelligence tools (Tableau, Power BI, Alteryx), data querying (SQL), or statistical programming languages (Python, R, STATA, Matlab). The Analyst is appointed by the CFO and reports to the Senior Manager of Information, Planning, and Analysis.
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Well-versed in core advanced analytics data mining & scripting tools such as Python, R, and SQL. Performing statistical analysis & scripting using Python or R; developing dashboards in Tableau.
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Build scalable and reproducible work in Python or R including data ingestion, quality checks, cleaning, analysis, modeling, and output. 3-5 years of professional experience programming statistical analyses in SPSS, Stata, Python or R (Python and R highly preferred.
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Proficiency with Excel / VBA and R / Python. Preferred Qualifications Advanced Degree or CFA (Chartered Financial Analyst Certification). About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translatingplexity into clarity so market participants can uncover opportunities and make decisions with conviction.
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Anyone of Python/R/SQL/Pyspark Experience required. Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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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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Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra. You will utilize your knowledge of geospatial data and analytics while using tools such as Geographic Information Systems (GIS), Python, and visualization/analytical platforms (ex.
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Proficiency in programming languages such as Python, R, or SQL, with hands-on experience in data manipulation, analysis, and modeling. Experience with data analytics, visualization tools (e.g., Looker, Tableau, Power BI, Domo, etc.
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As a member of the Joints Reconstruction Finance Team, the senior analyst provides financial leadership, support, and analytics to the Joints Recon Global Strategic Marketing (GSM) and Research and Development (R&D) organizations to help shape and support a growing business.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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1 or more years of prior experience as a Data Analyst / Data Scientist / Data Consultant / Data Engineer - MUST HAVE experience with multiple types of data related tools/technologies such as SQL, Excel, Tableau, PowerBI, R, Python, etc.
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Experience writing queries and developing data visualization tools for mining and synthesizing large datasets (e.g. Python, SQL, SAS, R, Power BI, etc.) Strong understanding of and ability to use programming languages (e.g. Python, SQL, SAS, R, Power BI, etc.
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Working knowledge of data science/engineering and reporting tools such as Python, R, SQL, Excel, Power BI etc. Overseeing the technical design and implementation of decisioning solutions for Sales, Marketing, CX and EX domains using the Pega CDH platform.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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