Junior Business Data Analyst
By Leidos At , Reston, 20190 $54,600 - $113,400 a year
Familiarity with procurement, subcontracts management, finance or accounting
Analyze complex business problems with demonstrated experience performing queries, developing repeatable and accessible reports using a variety of analytic tools
Must have experience with Microsoft Power BI, Power Apps, Power Automate, Access, SQL, Oracle, and other business intelligence tools
Great interpersonal and communication skills, strong aptitude for analyzing data and strong business acumen.
Support corporation data governance initiatives
Proactively deliver meaningful metrics and key insights using contracts data
Junior Business Analyst Jobs
By Leidos At , Remote $54,600 - $113,400 a year
Experience using JIRA and Confluence to manage requirements
Interface continually with the customer, project SMEs, and key stakeholders to gather and document business requirements in support of their vision
Organize requirements into epics and stories, generate Acceptance Criteria.
Exceptional analytical, conceptual thinking, and documentation skills.
Strong verbal and written communication skills, attention to detail, and an ability to follow-up in a timely manner
Experience creating detailed reports and presenting information to both technical and non-technical audiences

Are you looking for an exciting opportunity to use your data analysis skills to make an impact on a growing business? We are looking for a Junior Business Data Analyst to join our team and help us make data-driven decisions that will drive our success. If you have a passion for data and a desire to make a difference, this could be the perfect job for you!

Overview A Junior Business Data Analyst is responsible for collecting, analyzing, and interpreting data to help inform business decisions. They use data to identify trends, develop insights, and create reports that help guide the organization’s strategy. Detailed Job Description A Junior Business Data Analyst is responsible for collecting, analyzing, and interpreting data to help inform business decisions. They use data to identify trends, develop insights, and create reports that help guide the organization’s strategy. They must be able to interpret data and draw conclusions from it, as well as communicate their findings to stakeholders. They must also be able to work with multiple data sources and systems, and be comfortable working with large datasets. Job Skills Required
• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Ability to interpret data and draw conclusions from it
• Ability to communicate findings to stakeholders
• Ability to work with multiple data sources and systems
• Comfort working with large datasets
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of programming languages such as SQL, Python, and R
• Knowledge of data visualization tools such as Tableau and Power BI
Job Qualifications
• Bachelor’s degree in a related field such as computer science, mathematics, statistics, or economics
• 1-2 years of experience in a data analysis role
• Knowledge of data analysis techniques and tools
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of programming languages such as SQL, Python, and R
• Knowledge of data visualization tools such as Tableau and Power BI
Job Knowledge
• Knowledge of data analysis techniques and tools
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of programming languages such as SQL, Python, and R
• Knowledge of data visualization tools such as Tableau and Power BI
Job Experience
• 1-2 years of experience in a data analysis role
• Experience working with large datasets
• Experience working with multiple data sources and systems
• Experience interpreting data and drawing conclusions from it
Job Responsibilities
• Collect, analyze, and interpret data to inform business decisions
• Identify trends and develop insights from data
• Create reports to guide the organization’s strategy
• Communicate findings to stakeholders
• Work with multiple data sources and systems
• Work with large