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Data Analyst IV

In United States

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Data Analyst IV   

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JOB TITLE:

Data Analyst IV

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Atlanta, GA | Atlanta, GA United States

JOB DESCRIPTION:

Job Summary:
This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position executes creative data analytic approaches leading to actionable outcomes, interprets data analyses, and develops analytical and/or statistical models enabling informed business decisions.
Essential Responsibilities:
  • Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
  • Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
  • Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
  • Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
  • Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
  • Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
  • Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.
Qualifications:
Minimum Qualifications:
  • Minimum one (1) year experience in a leadership role with or without direct reports.
  • Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
  • N/A
Preferred Qualifications:
  • Three (3) years relational database experience.
  • Three (3) years experience working with quality management and data profiling tools.
  • Three (3) years experience working with SQL.
  • Three (3) years experience working with SPSS.
  • Three (3) years experience working with statistical analysis software.
  • Three (3) years experience working with Excel.
  • Three (3) years network analysis experience.
  • Three (3) years experience working with artificial intelligence tools.
  • Three (3) years experience working with business intelligence tools.
  • One (1) year health care experience.
  • Three (3) years experience working with data extraction and manipulation language.
  • Three (3) years experience working with Open Source Tools (e g , R, Python).
  • Three (3) years text analytics experience.
  • Three (3) years statistical modeling experience.
  • Masters degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
Employee Status:
Regular
Travel:
No
Job Level:
Individual Contributor
Job Type:
Standard

Position Details

POSTED:

Dec 01, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16541280437644560

LOCATION:

United States

CITY:

Atlanta, GA | Atlanta, GA

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Analyst IV    Apply

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Job Summary:
This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position executes creative data analytic approaches leading to actionable outcomes, interprets data analyses, and develops analytical and/or statistical models enabling informed business decisions.
Essential Responsibilities:
  • Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.
  • Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.
  • Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate.
  • Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.
  • Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.
  • Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
  • Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis.
Qualifications:
Minimum Qualifications:
  • Minimum one (1) year experience in a leadership role with or without direct reports.
  • Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
  • N/A
Preferred Qualifications:
  • Three (3) years relational database experience.
  • Three (3) years experience working with quality management and data profiling tools.
  • Three (3) years experience working with SQL.
  • Three (3) years experience working with SPSS.
  • Three (3) years experience working with statistical analysis software.
  • Three (3) years experience working with Excel.
  • Three (3) years network analysis experience.
  • Three (3) years experience working with artificial intelligence tools.
  • Three (3) years experience working with business intelligence tools.
  • One (1) year health care experience.
  • Three (3) years experience working with data extraction and manipulation language.
  • Three (3) years experience working with Open Source Tools (e g , R, Python).
  • Three (3) years text analytics experience.
  • Three (3) years statistical modeling experience.
  • Masters degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
Employee Status:
Regular
Travel:
No
Job Level:
Individual Contributor
Job Type:
Standard


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