The Data Analyst is part of a Data Engineering Team and has a deep understanding of data modeling principles, advanced SQL skills, and a diverse background in COTS, Supply Chain and Logistics. As a Data Analyst, you will work closely with the Product Owner, Tech Lead, and other stakeholders to elicit, analyze, and document data requirements, ensuring data integrity, and driving data-driven decision-making across the organization. Your ability to bridge the gap between business needs and technical solutions will be essential in ensuring the successful delivery of data-driven projects. This role is 100% remote.

Responsibilities

Collaborate with the Product Owner, stakeholders, and end users to gather and analyze data requirements across HELM.

Work with data engineers to understand the technical landscape, data sources, and data flows within the organization.

Translate business requirements into detailed technical specifications, including data models, data dictionaries, and ETL (Extract, Transform, Load) processes.

Participate in the design and implementation of data pipelines, data warehouses, and data marts.

Assist in the development of data quality and validation procedures.

Support the testing and validation of data solutions, ensuring data accuracy and integrity.

Conduct in-depth analysis of complex datasets to identify trends, patterns, insights, and improvement opportunities and potential solutions.

Develop and maintain comprehensive data dictionaries.

Design conceptual, logical, and physical data models to support business needs.

Create and maintain Entity-Relationship Diagrams (ERDs) to visualize data relationships.

Establish and enforce data naming conventions to ensure consistency and clarity.

Utilize advanced SQL skills to query, manipulate, and analyze large datasets.

Develop and optimize SQL queries for performance an deficiency.

Create and maintain data validation scripts to ensure data quality.

Participate in agile ceremonies, such as Sprint planning, backlog refinement, and Sprint reviews.

Work with our clients and data engineering team to create features and user stories that align with business goals and product vision.

Maintain regular communication with clients to provide updates, gather feedback and address their expectations.

Minimum Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field.

3+ years of proven experience as a Data Analyst, with a strong emphasis on data modelling and SQL.

Strong understanding of data engineering principles, data warehousing, data modeling, and ETL processes.

Proficiency in SQL and data analysis tools.

Experience working with Agile methodologies.

Excellent analytical, problem-solving, and communication skills.

Ability to work independently and as part of a team.

12+ years of relevant experience

Other Preferred Qualifications

Experience in the healthcare or supply chain logistics industry.

Knowledge of data privacy and security regulations (e.g., HIPAA).

Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).

Experience with data visualization tools (e.g., Tableau, PowerBI).

Currently working the Veterans Administration (VA)

Active clearance for Public Trust Position

Compensation Ranges

Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.

EEO Requirements

It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.

All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.

Physical Requirements

The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.

Disclaimer

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

$106,000-$140K

EEO Requirements

It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.

All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

The Data Analyst is part of a Data Engineering Team and has a deep understanding of data modeling principles, advanced SQL skills, and a diverse background in COTS, Supply Chain and Logistics. As a Data Analyst, you will work closely with the Product Owner, Tech Lead, and other stakeholders to elicit, analyze, and document data requirements, ensuring data integrity, and driving data-driven decision-making across the organization. Your ability to bridge the gap between business needs and technical solutions will be essential in ensuring the successful delivery of data-driven projects. This role is 100% remote. Responsibilities <ul> <li> Collaborate with the Product Owner, stakeholders, and end users to gather and analyze data requirements across HELM. </li> <li> Work with data engineers to understand the technical landscape, data sources, and data flows within the organization. </li> <li> Translate business requirements into detailed technical specifications, including data models, data dictionaries, and ETL (Extract, Transform, Load) processes. </li> <li> Participate in the design and implementation of data pipelines, data warehouses, and data marts. </li> <li> Assist in the development of data quality and validation procedures. </li> <li> Support the testing and validation of data solutions, ensuring data accuracy and integrity. </li> <li> Conduct in-depth analysis of complex datasets to identify trends, patterns, insights, and improvement opportunities and potential solutions. </li> <li> Develop and maintain comprehensive data dictionaries. </li> <li> Design conceptual, logical, and physical data models to support business needs. </li> <li> Create and maintain Entity-Relationship Diagrams (ERDs) to visualize data relationships. </li> <li> Establish and enforce data naming conventions to ensure consistency and clarity. </li> <li> Utilize advanced SQL skills to query, manipulate, and analyze large datasets. </li> <li> Develop and optimize SQL queries for performance an deficiency. </li> <li> Create and maintain data validation scripts to ensure data quality. </li> <li> Participate in agile ceremonies, such as Sprint planning, backlog refinement, and Sprint reviews. </li> <li> Work with our clients and data engineering team to create features and user stories that align with business goals and product vision. </li> <li> Maintain regular communication with clients to provide updates, gather feedback and address their expectations. </li> </ul> Minimum Qualifications <ul> <li> Bachelor's degree in Computer Science, Information Systems, or a related field. </li> <li> 3+ years of proven experience as a Data Analyst, with a strong emphasis on data modelling and SQL. </li> <li> Strong understanding of data engineering principles, data warehousing, data modeling, and ETL processes. </li> <li> Proficiency in SQL and data analysis tools. </li> <li> Experience working with Agile methodologies. </li> <li> Excellent analytical, problem-solving, and communication skills. </li> <li> Ability to work independently and as part of a team. </li> <li> 12+ years of relevant experience </li> </ul> Other Preferred Qualifications <ul> <li> Experience in the healthcare or supply chain logistics industry. </li> <li> Knowledge of data privacy and security regulations (e.g., HIPAA). </li> <li> Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). </li> <li> Experience with data visualization tools (e.g., Tableau, PowerBI). </li> <li> Currently working the Veterans Administration (VA) </li> <li> Active clearance for Public Trust Position </li> </ul> Compensation Ranges Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees. EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions. Disclaimer The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. $106,000-$140K EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

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Data Analyst Asm Research, An Accenture Federal Services Company Jobs

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