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Remote - Data Analyst with HR Payroll tools Workday, Infor , PeopleSoft, Lawson exp

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Texas (USA), United States

Offer summary

Qualifications:

Strong SQL and Python experience, Experience in HR or Payroll applications, Exposure to Javascript/React is a plus, Ability to build reports and dashboards, Knowledge of reporting tools like SSRS.

Key responsabilities:

  • Build data pipelines using Apache Airflow
  • Develop data visualizations on React
  • Collaborate with teams to understand requirements
  • Provide subject matter expertise for projects
  • Work independently on assigned tasks with guidance
Resource Informatics Group, Inc logo
Resource Informatics Group, Inc SME https://www.rigusinc.com/
51 - 200 Employees
About Resource Informatics Group, Inc
We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.
See more Resource Informatics Group, Inc offers

Job description

Logo Jobgether

Your missions

A good analytical person with strong Sql/SSRS experience and exposure to PowerBI and any scripting language. Data Analyst who has worked in Workday HCM, Peoplesoft HR, Lawson, Infor HR etc.

About the Role:

The analytics data engineer builds data pipelines and reports based on those data flows using SQL, and python. The analytics engineer will also add visualizations to these datasets leveraging our reporting UI. Will be responsible for migration of SSRS reports to Bi.

Responsibilities:

  • Build data pipelines using Apache Airflow (Python, SQL)
  • Build data visualizations on React framework
  • Review, analyze and collaborate with business analyst and other development teams (including security) to fully understand requirements; contribute to the development approach for coding.
  • Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.
  • Understand data guidelines, and data sources available, and how the project will impact common data stores.
  • Accomplishes engineering and organization mission by completing related results as needed.
  • Provide SME on components or application and data to other teams; also provide ad-hoc reporting.
  • In addition, they will work on most stories independently with minimal supervision; however, they do not have a full grasp of the big picture, nor the full software development life cycle.
  • They have full latitude for independent judgment when applying skills and problem-solving capabilities, with oversight required by senior team members.
  • This position collaborates with the development team, QA, Security, collaborative groups/clients and other cross-functional teams to define, provide for, and test deliverables.

Qualifications:

  • Must have data experience with SQL and Python
  • Experience with HR or Payroll application
  • Nice to have experience with Javascript/React and front end programming
  • Should have the ability to build reports and dashboards

Equal Opportunity Statement:

Include a statement on commitment to diversity and inclusivity.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Data VisualizationApache Airflow

Soft Skills

  • collaboration
  • Analytical Thinking
  • Problem Solving
Are you interested?

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