Acumen Solutions

Implement Salesforce solutions to grow revenue

Data Analyst

Data ManagementConfirmed live in the last 24 hours

Full-timeMcLean, VA, USA

About the Job

Requirements

Must be willing to travel 35–50%.
Must be authorized to work for any U.S. employer.
Requires 1–5 years of demonstrated experience in data analysis, data manipulation, and decision support.
Requires knowledge and application of relational database concepts.
Requires experience or exposure to Extract, Transform, Load (ETL) and/or Business Intelligence.
Requires strong SQL skills.
Requires skill in completing technical designs through iterative mockups.
Requires high proficiency in Microsoft Office Suite, especially Word and Excel.
Must be open to learning new skills and software as necessary.
Requires ability to manage simultaneous workflows while maintaining quality output and meeting deadlines.
Requires ability to learn new technologies with little assistance.
Requires experience with ETL tools and procedures; any tool is acceptable.
Requires prior experience working in the cloud.
Requires verbal and written communication skills, including the ability to communicate at different organizational levels.
Requires ability to perform ad hoc analysis and maintain clear, comprehensive documentation of decision-making, data preparation, and processes.
Requires analytical and logical thinking.
Requires demonstrated experience with data models and data mapping.
Requires experience with Unified Modeling Language (UML), including Entity-Relationship Diagrams (ERD), Sequence Diagrams, and Data Flow Diagrams (DFD).
Requires understanding of XML, SQL, Data Modeling Language (DML), and Data Definition Language (DDL).
Requires ability to produce detailed, comprehensive documentation artifacts.
Requires a client-focused attitude.
Requires high-level knowledge of enterprise IT organizational, business, and technical environments.
Requires ability to analyze processes and recommend improvements.
Requires a bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business, Mathematics, or another related scientific or technical discipline, together with two or more years of experience related to the position.

Responsibilities

Develop an in-depth understanding of interrelationships among data and multiple data domains.
Create thorough documentation artifacts and maintain them for the duration of each project.
Identify and document data migration paths and processes.
Maintain an industry and technical knowledge base and facilitate and maintain industry relationships.
Provide customer-focused quality service.
Support assigned systems through the transition period.
Perform other relevant duties based on experience to fulfill customer needs.
Develop and perform standard queries to ensure data quality, identify data inconsistencies and missing data, and resolve issues as needed.
Standardize data naming, definitions, and modeling.
Perform data extraction, storage, manipulation, processing, and analysis.
Collect, profile, collate, and map appropriate data for new or existing solutions and ongoing data analysis activities.
Interpret customers' functional and information needs and translate them into functional or data requirements and process models.

Desired Qualifications

Exposure to one or more of Informatica, Pentaho, DataStage, Jitterbit, or Mulesoft.
Relevant IT certifications.

Job Description

We are looking to grow our team and currently have entry to manager level opportunities for Data Analysts in our McLean, VA location. The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

Specific Duties

Develop an in-depth understanding of the interrelationships of data and multiple data domains
Create thorough documentation artifacts and maintain same for duration of project
Identify and document data migration paths and processes
Maintain industry/technical knowledge base and facilitate/maintain industry relationships
Demonstrate commitment to providing customer-focused quality service
Support assigned systems through transition period
Perform other duties as deemed relevant based upon experience to fulfill customer needs
Develop and perform standard queries to ensure data quality, identify data inconsistencies, missing data and resolve as needed
Standardize data naming, data definitions and modeling
Perform data extraction, storage, manipulation, processing, and analysis
Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data analysis activities
Interpret Customers functional and information needs and turn them into functional or data requirements, process models, etc.

Qualifications

Must be willing to travel (35-50%)
Must be authorized to work for any U.S. employer
1-5 years of demonstrated experience in data analysis, data manipulation, and decision support
Knowledge and application of relational database concepts
Experience or exposure to Extract/Transform/Load (ETL) and/or Business Intelligence
Strong SQL skills
Skilled at completing technical design via iterative mockups
High proficiency in MS Office Suite (esp. Word and Excel)
Openness to learning new skills and software as necessary
Demonstrated ability to manage simultaneous work flows while maintaining quality output and meeting deadlines
Demonstrated ability to learn new and exciting technologies with little assistance
Experience with ETL tools and procedures (any tool)
Prior experience working in the Cloud
Strong verbal and written communication skills with demonstrated ability to communicate at different levels of the organization
Ability to perform ad-hoc analysis and maintain clear and comprehensive documentation of decision-making, data preparation, and processes
High aptitude in analytical and logical thinking
Demonstrated experience with data models and data mapping
Experience with Unified Modeling Language (UML), including Entity-Relationship Diagrams (ERD), Sequence Diagrams, and Data Flow Diagrams (DFD)
Understanding of XML, SQL, Data Modeling Language (DML), and Data Definition Language (DDL)
Strong communication skills, both written and spoken
Demonstrated ability to produce highly detailed, comprehensive documentation artifacts
Client-focused attitude
High-level knowledge of enterprise IT organizational, business, and technical environments
Ability to analyze processes and recommend improvements as needed Education and Certification
Bachelor’s degree or equivalent in Computer Science, Information Systems, Engineering, Business, Mathematics, or other related scientific or technical discipline with two (2) or more years of experience related to this position
Exposure to one or more of the following: Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc.
Relevant IT certifications preferred

Additional Information

Benefits

Acumen Solutions offers the opportunity for growth and advancement, as well as a competitive base salary, annual performance based incentives, medical benefits & 401k.

EOE M/F/V/D

VEVRAA Federal Contractor

About the Company

Acumen Solutions

Implement Salesforce solutions to grow revenue

Acumen Solutions helps organizations achieve business outcomes by implementing Salesforce-based solutions and other strategic technologies. Its teams of strategists, subject-matter experts, and engineers work with clients to diagnose problems beyond pure technology and deliver tailored systems that drive revenue growth and stronger customer relationships, including specialized solutions for the public sector to streamline operations and boost productivity. The company differentiates itself through deep industry experience, a collaborative approach with clients, and a proven track record with Fortune 500 firms, along with a strong emphasis on social responsibility and sustainable community impact. The goal is to deliver measurable results for clients—improved revenue, better customer engagement, more efficient operations, and lasting community benefits.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: McLean, VA
Founded: 1999

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