Corporate Advanced Analyst II (Data Scientist)
Data Science, Advanced Analytics and Technical Expertise:
Performs advanced data analysis to address complex business questions, applies advanced data programming and statistical methodologies where applicable.
Documents and communicates analytic strategies, methods and results, and findings and impacts.
Guides and trains staff in advanced techniques.
Determines what kind of analytics will be performed (descriptive, predictive, prescriptive.
) and defines/documents overall framework.
Where appropriate, applies linear regression (correlation, contingency table, ANOVA, inference, chi-square, t-test) and/or time series methods (data set-up, conversions, trends, decomposition, models, forecasts, confidence).
Utilizes appropriate tools to load, integrate, and analyze data Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved Ensures reproducibility of outcomes Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes Implements pre-emptive actions, where possible.
Training and Resource Development:
Develops training materials and mentors/trains others on one or more of the following tools:
OLAP tool (i.
e.
MicroStrategy) Regression methods Time series Data visualization Excel charts, pivot tables, macros SAS, R, or SQL Data Management:
Reviews data sources and preps needed data.
Identifies existing and new data sources.
Performs data prototyping, if necessary, to agree what data can/not be used.
Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved.
Performs review of data to ensure completeness/accuracy for the purpose of the analysis.
Ensures existing, approved, corporate tools used can accept/integrate the data.
Where necessary (and if practical to be done within the delivery timeframe of a project), facilitates the identification and use of new tools and works with the Technical Review Committee to authorize its use.
Project Definition and Coordination:
Lead meetings with internal and external customers to clearly articulate and define business problem(s) of high complexity and impact (corporate priorities, cross function or cross departmental projects, and strategic external partners).
Types of projects include descriptive and predictive analytics.
Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- researches new/other approaches to identify and agree upon objectives, approach, and success measures.
Works with customer to submit appropriate paperwork (ISS, TPDR, etc.
) and ensures necessary agreements are in place for external customers.
Defines delivery milestones and negotiates timeframes, monitors progress, and periodically notifies customer of status.
Effective Communication:
Works with multiple department heads and/or external customers to prepare/present findings that are informative and audience appropriate.
Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making.
Prepares a presentation of the analysis, process followed, and reviews it with the customer to ensure the results are audience appropriate.
Other Duties/Functions:
Performs all other miscellaneous responsibilities and duties as assigned or directed.
Trains others on MicroStrategy and Excel.
Functions as a team player within the department and embodies collaboration.
#LI-Hybrid Recommended Skills Analytical Communication Data Analysis Data Management Data Visualization Decision Making Estimated Salary: $20 to $28 per hour based on qualifications.
Performs advanced data analysis to address complex business questions, applies advanced data programming and statistical methodologies where applicable.
Documents and communicates analytic strategies, methods and results, and findings and impacts.
Guides and trains staff in advanced techniques.
Determines what kind of analytics will be performed (descriptive, predictive, prescriptive.
) and defines/documents overall framework.
Where appropriate, applies linear regression (correlation, contingency table, ANOVA, inference, chi-square, t-test) and/or time series methods (data set-up, conversions, trends, decomposition, models, forecasts, confidence).
Utilizes appropriate tools to load, integrate, and analyze data Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved Ensures reproducibility of outcomes Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes Implements pre-emptive actions, where possible.
Training and Resource Development:
Develops training materials and mentors/trains others on one or more of the following tools:
OLAP tool (i.
e.
MicroStrategy) Regression methods Time series Data visualization Excel charts, pivot tables, macros SAS, R, or SQL Data Management:
Reviews data sources and preps needed data.
Identifies existing and new data sources.
Performs data prototyping, if necessary, to agree what data can/not be used.
Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved.
Performs review of data to ensure completeness/accuracy for the purpose of the analysis.
Ensures existing, approved, corporate tools used can accept/integrate the data.
Where necessary (and if practical to be done within the delivery timeframe of a project), facilitates the identification and use of new tools and works with the Technical Review Committee to authorize its use.
Project Definition and Coordination:
Lead meetings with internal and external customers to clearly articulate and define business problem(s) of high complexity and impact (corporate priorities, cross function or cross departmental projects, and strategic external partners).
Types of projects include descriptive and predictive analytics.
Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- researches new/other approaches to identify and agree upon objectives, approach, and success measures.
Works with customer to submit appropriate paperwork (ISS, TPDR, etc.
) and ensures necessary agreements are in place for external customers.
Defines delivery milestones and negotiates timeframes, monitors progress, and periodically notifies customer of status.
Effective Communication:
Works with multiple department heads and/or external customers to prepare/present findings that are informative and audience appropriate.
Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making.
Prepares a presentation of the analysis, process followed, and reviews it with the customer to ensure the results are audience appropriate.
Other Duties/Functions:
Performs all other miscellaneous responsibilities and duties as assigned or directed.
Trains others on MicroStrategy and Excel.
Functions as a team player within the department and embodies collaboration.
#LI-Hybrid Recommended Skills Analytical Communication Data Analysis Data Management Data Visualization Decision Making Estimated Salary: $20 to $28 per hour based on qualifications.
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