About RIT Solutions
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Arlington, VA, US
Job description
Infosec Data Analyst
Location: Hybrid Onsite Chicago (local only)
Location: Hybrid Onsite Chicago (local only)
Interview Mode: 1 Round Panel Interview Virutal, 1- hour
Type: Long term contract
Notes:
This is more of a Data Analyst with Business Analyst skills (documentation, requirements gathering, etc).
Experience with account creation and account authentication (getting access the users need). Accounts meaning users.
Key words you might find in the resume: m EPV Analyst, Identity Governance, Authentication and Authorization.
Good understanding of platforms like Microsoft AD, Unix LDAP, Oracle accounts, SQL Server Accounts, and similar platforms
Team has Power BI engineers and other data analysts and engineers in addition to the PM.
Don't have to have SQL writing skills or Power BI skills. (nice to have but not mandatory)
JD:
This position requires extensive and practical experience with Data Analysis and Decision Science. The Data Analyst will be responsible for using their knowledge of data processing software and business development strategies to provide sound business decisions. Their duties include collaborating with other data professionals to extract data figures, creating reports based on their findings, and monitoring key performance indicators (KPIs) to determine business initiatives' success.
MAJOR DUTIES INCLUDE:
- Work with leaders to identify opportunities for improvement
- Create reports for internal teams
- Collaborate with team members to collect and analyze data
- Use graphs, infographics and other methods to visualize data
- Establish KPIs to measure the effectiveness of business decisions
- Structure large data sets to find usable information
- Work with a team of analysts and other associates to process information
- Create presentations and reports based on recommendations and findings
- Builds analytical data sets, including development of programs for the extraction and transformation of data across multiple platforms, including mainframe
KNOWLEDGE/SKILLS:
- Minimum of 6 years of IT experience with at least 2 of those years focused on Data Analysis
- Familiarity with tools such as PowerBi and SQL clients
- Excellent oral and written communication skills are required
- Strong analytical, organizational, and problem-solving skills are required
- Must be highly flexible and adaptable to change
Educational/Experience Qualifications:
A College or University degree and/or relevant proven work experience is required.
ritsolinc.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
