Phoenix, AZ - IT - AZICA - N/A - Analyst - Senior Data Analyst

Abacus Service Corporation

  • Phoenix, AZ
  • 3 days ago

    Highlights

    Position Type Staff Augmentation Hours/Week 40 Billing Type Hourly Shift Day Projected Start Date 11/16/2026 Start Time 12:00 AM Projected End Date/Duration 6 Months from projected start date End Time 12:00 AM Bid Limit Per Vendor 2 Number of Positions 1 Desired Career Level None Selected Minimum Education Level None Selected Weekend None Position Location. Ability to: Curiosity about the meaning hidden in data; Set and meet deadlines; Work with and understand large data sets; Communicate effectively, both verbally and in writing; QA and troubleshoot data; and develop various statistical, analytical reports, and dashboard reports for various users.

    Numbers & Facts

    LocationPhoenix, AZ

    Description

    Position Information

    Position Type Staff Augmentation Hours/Week 40
    Billing Type Hourly Shift Day
    Projected Start Date 11/16/2026 Start Time 12:00 AM
    Projected End Date/Duration 6 Months from projected start date End Time 12:00 AM
    Bid Limit Per Vendor 2 Number of Positions 1
    Desired Career Level None Selected Minimum Education Level None Selected
    Weekend None

    Position Location

    Address 800 W. Washington Street City Phoenix
    State Arizona Zip 85007
    Country UNITED STATES

    Requirements

    Travel Required No Security Required Yes
    Onboarding Category


    The following are required for bid submission:
    • Resume
    • R2R
    • Cover Letter
    • Meets Work Location
    Data Analysts identify, extract and mine data from designated sources, reorganize it in a format that can be easily analyzed, integrated and used by either human or machine. They develop statistical, analytical, and executive level reports, dashboards and charts that show data in a context that allows decision-makers to gain insights into the data and make informed business decisions.

    Knowledge of: data gathering, cleaning and transforming techniques; data warehousing and ETL techniques; statistical software
    Skill in: Coding in languages such as SQL, Python and/or R; Analysis and problem-solving; Reporting and data visualization using software like Tableau; technical writing
    Ability to: Curiosity about the meaning hidden in data; Set and meet deadlines; Work with and understand large data sets; Communicate effectively, both verbally and in writing; QA and troubleshoot data; and develop various statistical, analytical reports, and dashboard reports for various users.

    Required Skills
    Skill Type
    Skill Name

    Skill
    T-SQL

    Skill
    SQL Analytics Server

    Skill
    Data Modeling
    Preferred Skills
    Skill Type
    Skill Name

    Skill
    Microsoft Access

    Skill
    PowerShell Scripting

    Skill
    C#

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