Data & Reporting Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

This position is responsible for analyzing and understanding trends in data and, based on analysis and insights, create strategies to mitigate billing, provisioning and data integrity issues. Responsible for creating and producing forecasts, reports, ad hoc requests, dashboards, etc. in order to provide insights to determine operational impact, trends, and opportunities.

MAJOR DUTIES AND RESPONSIBILITIES

• Conduct data analysis and statistical tests in support of a variety of analytic solutions to identify gaps in Billing systems
• Capture, develop, and document data definitions, business rules, and data quality requirements
• Integrate data from multiple sources to produce requested or required data elements
• Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
• Interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities
• Develop reports and deliverables for management and communicate with all levels of stakeholders
• Identify and define data quality improvements
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• May create specifications for reports based on business requests
• Responsible for the entire end-to-end data science process from ETL to building models, to deploying the model into the workflows to measuring the financial impact.
• Responsible for the selection of appropriate algorithms and execution
• Responsible for interpretation of results – for both causal inferences and predictive effectiveness
• Synthesize appropriate recommendations for action and changes
• Perform other duties as requested

REQUIRED QUALIFICATIONS

Skills/Abilities and Knowledge

• Ability to read, write, speak and understand English
• Ability to prioritize and organize effectively
• Ability to work independently, as well as in a collaborative and dynamic team environment
• Ability to handle multiple projects and priorities
• Ability to analyze and interpret data
• Ability to quickly identify business problems/opportunities
• Ability to communicate orally and in writing in a clear and straightforward manner
• Ability to communicate with all levels of management and company personnel
• Ability to manage multiple projects at one time
• Ability to document, prepare and present data-driven presentations
• Advanced skills in Excel, PowerPoint, Access
• Advanced quantitative analysis skills
• Excellent knowledge of SQL
• Experience in data pre-processing and exploratory data analysis using a variety of statistical techniques
• Understand theoretical background of each statistical test and model

PREFERRED QUALIFICATIONS

Experience with large databases, conducting complex analysis using more than one programming language such as SAS and Python

Advanced level logical and analytical skills

Ability to explain complex analysis results in an easy-to-understand language

Education

Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, Information Management or other quantitative fields

Related Work Experience

2 + Years - Data analysis and reporting or related experience

1 + Years - Solving business problems through deep analytics

WORKING CONDITIONS

Office environment