$80K - $95K/yr
Other
Medical, Dental, Vision, Retirement, PTO
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Job description
- 401(k)
- 401(k) matching
- Competitive salary
- Dental insurance
- Health insurance
- Opportunity for advancement
- Paid time off
- Vision insurance
Responsibilities:Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
- Proven working experience as a Data Analyst or similar role
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- Degree in Mathematics, Economics, Computer Science, Information Management or Statistics
Our Story
At Tree Top Staffing, we take pride in helping job seekers find their ideal role and employers find the right candidate for their company.
Our organization is instantiated by experienced professionals providing full service employment solutions including: contract, contract-to-hire, and direct-hire placements within multiple lines of business.
Our Mission
We adhere to a set of 4 defining principles encapsulating:
- Servitude
- Accountability
- Integrity
- Discipline
If you make a promise, keep it, as your actions prove your greatness. Our goal at Tree Top Staffing is to set our clients and consultants up for success. It is imperative to ensure an all-around fit from both sides for long term relations to thrive.
Our Results
Tree Top Staffing utilizes advanced recruiting tools to ensure top talent is presented to our clients when their needs arise.
Our success is measured by the success of our clients. It is a privilege to help job seekers find their dream position and employers find the right fit for their company.
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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.