Senior Data Analyst

Sharp Decisions; Phoenix (AZ); On-site; USD 63,000 - 89,000; Full time

Job summary

Sharp Decisions is seeking a Data Analyst for an onsite role in Phoenix, AZ to identify, extract, and mine data, reorganize it for analysis, and develop dashboards and reports for decision-makers.

The contract is six months with potential extension; strong candidates will have SQL, Python or R, ETL experience, and proficiency in Tableau, with solid communication skills.

Qualifications

• Experience gathering, cleaning, and transforming data.
• Experience with data warehousing and ETL techniques.
• Proficiency in statistical software.
• Strong coding skills in SQL, Python, or R.

Responsibilities

• Identify, extract, and mine data from sources.
• Develop statistical and analytical reports and dashboards for decision-makers.
• Create executive-level reports and dashboards for various users.
• Communicate findings clearly to stakeholders.

Skills

SQL/Python/R

Analysis

Data visualization

Technical writing

Tools

Tableau

Job description

PAY RATE: $55.00/HR w2
LOCATION:Onsite - Phoenix, AZ85007
Contract of6 Months with possible extension

Data Analyst - Job Description

Data Analysts identify, extract, and mine data from designated sources, reorganize it into formats that can be easily analyzed, integrated, and used by humans or machines. They develop statistical, analytical, and executive-level reports, dashboards, and charts that provide decision-makers with insights to support informed business decisions.

Knowledge of

• Data gathering, cleaning, and transformation techniques
• Data warehousing and ETL techniques
• Statistical software

Skills in

• Coding languages such as SQL, Python, and/or R
• Analysis and problem-solving
• Reporting and data visualization using software such as Tableau
• Technical writing

Ability to

• Demonstrate curiosity about insights hidden in data
• Work with and understand large datasets
• Communicate effectively, both verbally and in writing
• Perform quality assurance and troubleshoot data issues
• Develop statistical and analytical reports and dashboards for various users