Entry Level Business Analyst

Data Cloud Merge; Philadelphia (Philadelphia County); On-site; USD 70,000 - 90,000; Full time

Job summary

A communications company in Philadelphia is seeking an experienced data analyst to work with the analytics team on developing costing models and managing project life cycles. The ideal candidate should hold a Master's or Bachelor's degree in a relevant field and have advanced knowledge in SQL and Python. Additionally, responsibilities include creating reports and dashboards, validating data, and statistical analysis. This position offers a unique opportunity to influence important data-driven decisions.

Qualifications

• Proficient in managing the entire project life cycle.
• Solid understanding of statistical analysis and predictive analytics.
• Advanced working SQL knowledge and experience with relational databases.

Responsibilities

• Work with analytics team to develop an activity-based costing model.
• Process flowcharts for new processes and maintain project documentation.
• Create and maintain reports, dashboards, metrics for success.

Skills

Data Acquisition

Data Preparation

Data Manipulation

Statistical Modelling

Validation

Visualization

Reporting

Python

SQL

Education

Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related

Job description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description

• Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
• Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
• Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
• Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
• Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.

Qualifications

• Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
• Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
• Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
• Advanced working SQL knowledge and experience working with relational databases and Python.