Data Analyst

Overview

Remote
On Site
USD48 - USD60
Contract - W2

Skills

Data Analyst

Job Details

job summary:

Ideal Background: Ideal candidate would have experience in the Human Capital space, working with data from Human Capital systems



Required Qualifications:




  • Undergraduate degree or equivalent experience

  • 4+ years of experience with Human Capital/People Teams, business or financial analysis, etc.

  • 4+ years of experience analyzing data and combining datasets to develop reporting products/solutions

  • 3+ years of experience building dashboards and visualizations in a data visualization tool such as Domo, Tableau, QlikView, PowerBI or similar Business Intelligence platform

  • Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and outer joins, reformatting and manipulating data, etc.

  • Intermediate level of experience in SQL/HiveQL: counts, select statements, filters, groupings, etc.

  • Experience communicating both verbally/written with people at a wide variety of levels in an organization

  • Experience researching issues, investigating data accuracy, and performing quality checks

  • Knowledge of JavaScript, CSS (Cascading Style Sheets), and HTML

Preferred Qualifications:




  • Experience in data extraction, manipulation, and management

  • Experience researching issues, investigating data accuracy, and performing quality checks

  • Project Management skills

  • Ability to work independently and collaborate effectively with others

  • Experience creating user stories using the "As a (role), I want (function) so that (business value)" methodology

  • Basic understanding of statistical methodologies and measurements

  • Experience leading people (directly or indirectly) or large-scale projects

  • 1+ years in an agile environment or with agile tools such as Rally or Swift



location: REMOTE, Minnesota

job type: Contract

salary: $48 - 60 per hour

work hours: 8am to 4pm

education: No Degree Required



responsibilities:




  • Be a key or core resource for complex issues, data discrepancies, and fire drills

  • Assesses and interprets customer requests for feasibility, priority, and complexity and documents and delegates those requests within an agile/intake tool

  • Consult with People Analytics and People Analytics team for developing and building prioritized and standard solutions.

  • Develop innovative solutions for both structured and unstructured data

  • Create and maintain internal process documentation and customer-facing help documents

  • Lead projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers

  • Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations

  • Deeply understand and innovate underlying data structures of standard reporting (complex join criteria, table sources, data types, data definitions, dataflows) and be able to find, validate, combine, and export raw and derived data assets.

  • Execute intermediate programming and/or scripting in at least one of our core technologies to build applications.

  • Leads functional calls for technical subjects (like weekly calls with data management or tech teams)

  • Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake

  • Reviews work of others and provides guidance on execution, best practices, and areas for improvement

  • Works with minimal guidance; seeks guidance on only the most complex tasks

  • Proactively keep data secure and decommission legacy content in our environment

  • Sought out as an expert within the People Analytics community and works cross-functionally across the team/community for shared or advanced solutions

  • Serves as a leader and mentor to analysts in lower grade levels

  • Coaches, provides feedback, and guides others within the People Analytics community















qualifications:

  • Experience level: Experienced
  • Minimum 4 years of experience
  • Education: No Degree Required


skills:
  • Data Analysis



    Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

    At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

    Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

    This posting is open for thirty (30) days.



  • 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.

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