Data Analyst

Overview

Hybrid
$40 - $44
Contract - W2
Contract - 6 Month(s)

Skills

Data Analyst
SQL
Cloud
Azure
Python
AWS

Job Details

Position overview / Statement of Work

We are seeking a skilled and detail-oriented Data Analyst for a temporary assignment to join our dynamic team. The primary focus of this role is to participate in mapping and documenting all existing data systems at PHL and well as collecting, reviewing, cleaning and preprocessing data from various systems. The secondary focus will be creating reports and visualizations of data. The ideal candidate will have strong analytic skills, be proficient in data manipulation tools, and possess a keen eye for detail. This position requires 3 or more years of experience working as a Data Analyst.

Work activities

Gather data from identified systems in various formats, including databases, spreadsheets, and external systems

Review data for accuracy and completeness

Identify inconsistencies and anomalies within data

Clean data to eliminate duplicates, correct errors and fill missing values

Standardize data formats for consistency

Prepare data for integration into data lake

Collaborate with department analysts/business owners to understand data of identified systems

Collaborate with engineers, analysts and developers to assist in understanding and both upstream and downstream uses of data

Create comprehensive data mapping documents

Create data review and cleaning report

Create comprehensive reports and dashboards to present data findings to stakeholders.

Utilize data visualization tools (e.g., Power BI) to create interactive and intuitive visual representations of data

Communicate complex data insights in a clear and concise manner to non-technical audiences

Skills/experience of the assigned staff:

Required

Strong SQL skills

Strong Analytical skills

Excellent Microsoft Excel skills

Aptitude for learning other analytical tools

3 years experience as data analyst or similar role

Excellent communication and presentation skills.

Attention to detail and a commitment to data accuracy

Highly Desired/Preferred

Experience with cloud platforms

Experience using Azure Data Factory

Experience using Python

Experience using AWS S3

Experience with data visualization tools (e.g., Power BI).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.