Data Analyst Job at Seneca Resources in Queens
Seneca Resources, Queens, NY, United States
A NYC agency located in Long Island City (Queens), NY has an immediate requirement for a Data Analyst for a long term (multi-year) contract. This role is 100% onsite. The Data Analyst will be a mission-driven resource, contributing to the building of NYC schools, with the client, through their passion for data analytics. This resource will work with the Client's Operations team, turning raw data into information and insights, provide recommendations and assist with presentations.
Salary range is $50-65/hr
NO C2C submissions will be accepted or reviewed. There is NO subcontracting of any kind on this position.
Candidates must be willing to work onsite full-time.
Responsibilities include, but not limited to:
- Collaborates with a diverse network of people and/or data systems to collect data.
- Cleans, manipulates, and analyzes large sets of raw data.
- Creates and maintains analytics reporting, data visualizations, and ad-hoc analyses.
- Creates dashboards and/or reports to convey the results of data analysis.
- Supports Lead Analyst in providing data-driven solutions to key stakeholders.
- Conducts business analysis and research to identify key metrics and opportunities for improvement.
- Presents clear and concise findings along with recommendations to stakeholders.
- Provides end-user training, documentation, and support on processes and metrics used.
- Experience in key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, Power BI) as well as Data Warehouses, and/or other data storage locations
- Understands business processes and end users and how they translate into actionable data.
- Demonstrates good time management and communication skills.
- Preferred but not required: Experience with programming languages including but not limited to Python and/or SQL.
Required Skills, Education and Experience:
- 1+ years functional analyst experience
- Microsoft Office Suite
- Working towards or holding a degree in Business Administration, Computer Science, Computer Technology, Computer Programming & Software Development, Statistics, Mathematics, Engineering, and/or a related field
- Excellent verbal and written communication skills, with the ability to effectively tailor technical concepts for less technical audiences.
- Strong problem solving and analytical skills.
- Well-developed logical structure approach to solving problems, framing ideas, or developing plans.
Preferred, but not required:
- Demonstrated knowledge of digital skills via certificates and/or certifications. Knowledge of Microsoft Power BI/Tableau, ETL Tools
- Experience with programming languages including but not limited to Python and/or SQL.