Data Analyst
Apply NowCompany: ECS
Location: Arlington, VA 22204
Description:
ECS is seeking a Data Analyst to work in our Arlington, VA office.
Expert proficiency in common data science tools, including scripted languages (such as SQL,
Python, R, and Java Scripts), Integrated Development Environment and analytics platforms,
open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to
support the data analytic development process and creating models, dashboards, and reports.
Knowledge and experience using business intelligence applications and reporting
technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and
Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and
application of analytical tools.
Coordinate with staff and customers to identify business and technical requirements.
Produce written documentation and artifacts for all work completed, including the translation of
user requirements into technical designs.
Assist the agency in the development of programming and visualization solutions.
Troubleshoot and provide support on existing projects or application efforts.
Understand the concepts supporting relational databases, data warehousing, data governance,
data access, data quality and related areas.
Knowledge of ODBC connection strings, and other external data source connection protocols.
Engineer data analytic solutions, including prototyping, proof of concept, and full
implementation.
Evaluate, assess, document, and test data security and continuity of operations for systems and
programs.
Knowledge and experience using business intelligence tools such as Power BI.
Ensure compatibility between equipment and software, analyze operational/systems
requirements, support design reviews, and present technical briefings.
Degree in Computer Science, Information Technology, Data Analytics, or related field.
5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
At least 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred.
Knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability
to create solutions in complex environments, including the use of programming languages to
create datasets, visualizations, and interactive reports in various business intelligence
applications.
Skill applying analytical techniques, methods, and processes to business problems demonstrated
through a history of accepted modeling and analyses that resulted in meaningful business
impact. These include working with unstructured or structured data and converting those data
sets using a variety of analyses such as optimization, simulation, classical and spatial statistics,
and/or programming languages.
Strong writing and documentation skills to capture collection of source data, methodology from
business rules, and visualization deployment from a myriad of sources and interactions with
various stakeholders.
Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern
recognition, and application of analytical tools.
Review, analyze, and modify existing products including coding, debugging, testing, and
documenting.
Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
Assist with training and conference development which may include presentations to large audiences.
Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
Ensure that quality/security guidelines are followed.
Strong relational database and querying languages experience.
Strong verbal and written communication skills.
Must be able to work effectively in a team environment.
Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
Expert proficiency in common data science tools, including scripted languages (such as SQL,
Python, R, and Java Scripts), Integrated Development Environment and analytics platforms,
open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to
support the data analytic development process and creating models, dashboards, and reports.
Knowledge and experience using business intelligence applications and reporting
technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and
Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and
application of analytical tools.
Coordinate with staff and customers to identify business and technical requirements.
Produce written documentation and artifacts for all work completed, including the translation of
user requirements into technical designs.
Assist the agency in the development of programming and visualization solutions.
Troubleshoot and provide support on existing projects or application efforts.
Understand the concepts supporting relational databases, data warehousing, data governance,
data access, data quality and related areas.
Knowledge of ODBC connection strings, and other external data source connection protocols.
Engineer data analytic solutions, including prototyping, proof of concept, and full
implementation.
Evaluate, assess, document, and test data security and continuity of operations for systems and
programs.
Knowledge and experience using business intelligence tools such as Power BI.
Ensure compatibility between equipment and software, analyze operational/systems
requirements, support design reviews, and present technical briefings.
Degree in Computer Science, Information Technology, Data Analytics, or related field.
5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
At least 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred.
Knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability
to create solutions in complex environments, including the use of programming languages to
create datasets, visualizations, and interactive reports in various business intelligence
applications.
Skill applying analytical techniques, methods, and processes to business problems demonstrated
through a history of accepted modeling and analyses that resulted in meaningful business
impact. These include working with unstructured or structured data and converting those data
sets using a variety of analyses such as optimization, simulation, classical and spatial statistics,
and/or programming languages.
Strong writing and documentation skills to capture collection of source data, methodology from
business rules, and visualization deployment from a myriad of sources and interactions with
various stakeholders.
Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern
recognition, and application of analytical tools.
Review, analyze, and modify existing products including coding, debugging, testing, and
documenting.
Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
Assist with training and conference development which may include presentations to large audiences.
Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
Ensure that quality/security guidelines are followed.
Strong relational database and querying languages experience.
Strong verbal and written communication skills.
Must be able to work effectively in a team environment.
Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).