We provide IT Staff Augmentation Services!

Data Reporting Analyst Resume

OBJECTIVE

  • College graduate attentive to medical data. Passionate about studying how to improve performance. Seeking to leverage data analytical skills to improve corporate performance as a data analyst.

TECHNICAL SKILLS

Visualization Tools: Tableau Desktop, Plotly, Chart, D3.JS, Python

Analytical/Migration: Tableau, Power - BI

Databases: MySQL, MS-Access

Programming: R Studio, Python, SAS

Version Control: GIT, Github

Data formatting: Advance Excel, JSON, CSV, Office word, PowerPoint

PROFESSIONAL EXPERIENCE

Data Reporting Analyst

Confidential

Responsibilities:

  • Formulating and testing queries to build billing system reconciliation checks
  • Knowing tables, schemas, and stored procedures related to assigned business processes
  • Keep up to date with consistently changing business processes
  • Finding faulty processes and suggest changes, escalate the need to resolve an issue based on severity.
  • Multitask projects and work on highest priority tasks and meet deadlines.
  • Effective organizational, communication, time - management and interpersonal skills; high attention to detail; ability to handle multiple projects/tasks simultaneously while meeting deadlines.
  • Maintaining ongoing self-study of MS SQL, Access, Excel
  • Engaging with Sales, Business Analyst, and Operation teams to further investigate raised issues.
  • Creating SQL reports to further provide visibility to Sales, Operations, and Accounting.
  • Schedule, assign, and monitor projects of data analysts and support staff to ensure the successful development and implementation of initiatives.
  • Providing peer review, training, and oversight.
  • Conduct formal and informal training pertaining to new analytic approaches, data sources, and production system capabilities.
  • Collaborating and communicating with a team of data analysts.
  • Running and dropping every day jobs and researching the data.

Data Analyst intern

Confidential

Responsibilities:

  • Analysis on oral cancer affected data in Mid-west of US
  • Applied the machine learning K-Means algorithm on the preprocesseddatato predict the customer behavior and stored the result in HDFS
  • Visualization on the data using Python.
  • Used pie charts and donut charts for visualization.

Hire Now