Business Intelligence & Data Science Specialist (Analytics, Dashboards & Data Pipelines)

Overview

Remote
$60
Contract - W2

Skills

Data Manipulation
Extract
Transform
Load
Data Management
Business Intelligence
Forecasting
Predictive Analytics
Dashboard
Conflict Resolution
Oracle HCM
R
Python
SQL
SAP

Job Details

Duration: 5 months contract

Job Description:

  • We are seeking a Business Intelligence & Data Science Specialist with expertise in Business Intelligence, Data Engineering, and People Analytics to design and deliver data-driven insights that support strategic HR and workforce decisions.
  • This role combines strong analytical and engineering capabilities from data ingestion and warehouse management to dashboarding and advanced analytics to turn complex employee and organizational data into actionable intelligence for business leaders.

Responsibilities:

Data Management & Engineering:

  • Design, build, and maintain reliable data pipelines and warehouse solutions that integrate HR, employee, and business systems data.

Query Development & Data Transformation:

  • Develop and optimize SQL or Python-based queries to transform raw datasets into structured, actionable insights for reports and dashboards.

Dashboarding & Reporting:

  • Build and maintain dynamic BI dashboards and visualizations highlighting key workforce and organizational metrics (e.g., attrition, hiring, DEI, performance).

Collaboration with EDW Team:

  • Partner closely with the Enterprise Data Warehouse (EDW) team to onboard new data sources, validate data integrity, and maintain alignment with evolving data architecture.

Data Analysis & Insights:

  • Conduct exploratory, statistical, and predictive analyses on employee data to identify trends, opportunities, and actionable insights.

Stakeholder Partnership:

  • Collaborate with HR, People Operations, Finance, and L&D teams to deliver analytics that drive strategy and operational improvements.

Data Quality & Governance:

  • Ensure data accuracy, consistency, and compliance with privacy and security standards for sensitive employee information.

Automation & Efficiency:

  • Streamline data ingestion, transformation, and reporting processes through automation and optimized workflows.

Predictive Analytics:

  • Build models to forecast workforce trends (e.g., turnover, hiring demand, skill development).

Experience:

  • 4 7 years of experience in Data Science, Business Intelligence, or Data Engineering, preferably in a People Analytics or HR Data environment.
  • Proficiency in SQL and at least one scripting language (Python or R) for query optimization, data manipulation, and analysis.
  • Proven experience developing dashboards and reports using Tableau, Power BI, Looker, or similar BI tools.
  • Strong understanding of data warehousing concepts, pipelines, and ETL processes.
  • Experience collaborating with EDW teams and contributing to enterprise data architecture.
  • Experience working with HR, employee, or workforce data from systems such as Workday, SAP SuccessFactors, Oracle HCM, or similar.
  • Deep respect for data privacy, compliance, and confidentiality standards.
  • Excellent problem-solving, analytical, and communication skills.

Skills:

  • Data Visualization
  • Business Intelligence Analysis
  • SQL Proficiency
  • HR or employee lifecycle data

Education:

  • Bachelor s degree or equivalent experience.

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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