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Job description
Data Analyst, Location - Northbrook, IL
SynergisticIT is a full-service staffing and placement firm servicing clients in America for the past 10 years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We do provide Java training to candidates, who we think would fit a job requirement with one of our clients.
Who Should Apply:
Candidates who have difficulty finding jobs even after completing their bachelors and masters. Candidates who are working on redundant technologies and want to become relevant again to boost their growth. Candidates who want to enhance their skill portfolio
Required Qualifications:
- Bachelors or Masters in Computer Science/MIS/IT.
Skills Required:
- Python-Statistical Programming.
- Structured Query Language (SQL)
- Microsoft Excel.
- Critical Thinking.
- Data Visualization.
- Presentation Skills.
- Machine Learning.
Processing large volume of claims, describers and drug-based information for performing retail opportunity/expansion analysis for CVS pharmacies all over United States using tools like SQL. Creating ETL end-end data pipelines from extraction to transformation to data validation and finally performing ad-hock data analysis as per stakeholder's request. Using R/Python programming language for performing statistical analysis specifically price sensitivity analysis and predictive modelling/machine learning to determine how different input costs and other parameters will help us classify the data into different pricing models and make recommendation to business for making more insightful decisions. Working on Identifying KPI'S and business cases for Retail Specialty to track the performance of the project and suggest steps that can be taken to forecast better growth for the project. Creating and presenting the results for the stakeholders by creating large scale data visualization and dashboards using Tableau for communicating results to technical as well as non-technical audience. Training and working with new analysts in the team and making sure that they understand the process and help them in conducting day to day data analysis requests. Tools Used: SQL, Teradata, Tableau, R, Python, SAS
Amit Bhandari Sr. Talent Acquisition Specialist Email amib@synergisticit.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Entry Analyst?
A: To succeed as a Data Entry Analyst, key technical skills include proficiency in data management software such as Microsoft Excel, proficiency in data entry tools like keyboarding and typing software, and knowledge of database management systems. Soft skills like attention to detail, organizational abilities, and strong communication skills are also crucial, as they enable analysts to accurately and efficiently process data, identify errors, and collaborate with colleagues. By combining these technical and soft skills, Data Entry Analysts can effectively manage and analyze data, supporting informed business decisions and driving career growth through opportunities for advancement and specialization.
Q: What is the career path for a Data Entry Analyst?
A: A Data Entry Analyst's typical career progression involves starting as an entry-level Data Entry Clerk, where they focus on accurately and efficiently entering data into computer systems. As they gain experience, they can move into mid-level roles such as Data Coordinator or Junior Data Analyst, where they begin to analyze and interpret data, and develop skills in data visualization and reporting. With further advancement, they can become a Senior Data Analyst or Data Manager, overseeing large-scale data projects, developing data-driven strategies, and mentoring junior team members, ultimately leading to opportunities in leadership or specialized roles like Business Intelligence Analyst or Data Scientist.