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SUMMARY OF RESPONSIBILITIES:
The Business Intelligence Data Analyst is responsible for designing, developing, and maintaining Power BI reports, dashboards, and analytical datasets that support internal teams and external MSP clients within the contingent workforce ecosystem. This role is highly technical and execution focused, emphasizing Power BI report development, data modeling, SQL, DAX, and analytical problem solving.

The analyst works with large, complex datasets related to contingent labor programs (e.g., spend, suppliers, requisitions, bill rates, compliance, tenure, diversity, and performance metrics) and translates business requirements into accurate, performant, and visually intuitive reporting solutions.

DESCRIPTION OF ESSENTIAL DUTIES AND FUNCTIONS:

• Report Development, Visualization and Analytics Management
  
  • Design, build, and maintain Power BI dashboards, paginated reports, and ad hoc analyses for internal stakeholders and MSP clients
  • Develop interactive visualizations that clearly communicate trends, exceptions, and insights related to contingent workforce programs
  • Optimize report usability through effective layout, drill throughs, tooltips, bookmarks, and performance tuning
  • Apply best practices for Power BI semantic models, report governance, and version control
  • Must have report design and creation experience within the Contingent Workforce Solutions and Managed Service Provider Industry.
• Data Modeling, Transformation & Engineering
  
  • Build and maintain Power BI data models, including star schemas, fact/dimension tables, and calculated tables
  • Develop complex DAX measures for workforce analytics such as spend, headcount, tenure, utilization, markups, compliance, and SLA performance
  • Perform data ingestion, cleansing, and transformation using Power Query (M)
  • Write and optimize SQL queries to extract, join, and aggregate data from multiple source systems
  • Validate data accuracy and reconcile discrepancies across systems and reports
• Automation, Tools & Continuous Improvement
  
  • Leverage Power Automate or similar tools to streamline recurring reporting processes
  • Apply basic scripting or automation concepts to reduce manual effort and improve data reliability
  • Document data sources, transformations, and report logic to support knowledge sharing and auditability
  • Stay current with Power BI feature releases and recommend technical improvements
• Role Variations– If the position requires a Data Analyst with experience in data, system and infrastructure management, candidate requirements and experiences must also include:
• Data Modeling, Transformation & Architecture
  
  • Develop and maintain enterprise Power BI data models using star schemas and dimensional modeling best practices
  •  Apply medallion architecture concepts (Bronze, Silver, Gold layers) within Microsoft Fabric, Azure, or AWS-based data platforms
  • Perform advanced data transformation using Power Query (M), SQL, and cloud-based data processing tools
  • Validate data integrity across multiple source systems and analytical layers
  • Leverage Power Automate, Fabric pipelines, or similar tools to automate data refreshes and reporting workflows
• Cloud, Fabric & Infrastructure Knowledge
  
  • Work within Microsoft Fabric to support Lakehouse, Data Warehouse, and Semantic Model architectures
  • Demonstrate working knowledge of Azure data services such as Azure Data Lake Storage, Synapse Analytics, Azure SQL, and networking/security fundamentals
  • Exposure to AWS data environments and multi-cloud analytics strategies
  • Collaborate with data engineering and infrastructure teams to align reporting solutions with cloud governance, security, and performance standards
  • In depth understanding of VMS tool data structures within Fieldglass, Beeline, VNDLY and other VMS applications
• Required Technical Qualifications
  
  • Strong experience developing reports in Power BI (Desktop & Service)
  • Advanced proficiency with DAX, including complex measures and time intelligence
  • Hands on experience with Power Query (M) for data transformation
  • Strong SQL skills (joins, aggregations, subqueries, performance optimization)
  • Solid understanding of relational data modeling and analytics best practices
  • Experience working with large, complex datasets from multiple sources
  • Proficiency with Excel for data analysis and validation
• Other job-related duties as assigned

REQUIRED QUALIFICATIONS:
The primary duties of this position are performance and execution of business operational requirements of the Company. This position’s primary duties include the exercise of discretion and independent judgement with respect to matters of significance.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

• Experience in the contingent workforce, MSP, staffing, or workforce solutions industry
• Familiarity with common workforce metrics (spend, bill rates, tenure, compliance, diversity, supplier performance)
• Exposure to Tableau, Python, or R for analytics
• Basic understanding of machine learning or advanced analytics concepts
• Experience applying Power BI governance and security models
• Strong analytical and problem solving skills
• High attention to detail and data accuracy
• Ability to work independently with minimal supervision
• Ability to manage multiple reporting requests and deadlines
• Comfortable working in a fast paced, data driven environment
• Clear written and verbal communication skills focused on explaining data
• Ability to function independently and collaborate as part of a team
• Exceptional analytical and problem-solving skills
• Strong interpersonal skills
• Ability to interpret data through various means and techniques and communicate complex ideas effectively
• Applies automation tools such as Power Automate to handle repetitive tasks and functions.
• Applies the principals of project management. Prioritizes and manages concurrent activities, workloads, and deliverables
• The ability to work effectively under pressure and make decisions independently.
• Ability to learn new tools, techniques, software and applies and shares that knowledge with others
• Perform all job responsibilities with total integrity and accountability
• Maintains a professional appearance
• Ethical, fair, and professional conduct in all interactions
• Accommodate flexible schedule required to meet business needs
• Remote work environment

SUPERVISION EXERCISED /# OF STAFF:
None

LANGUAGE/COMMUNICATION SKILLS REQUIRED (written & verbal):
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedural manuals. Ability to present information effectively and respond to questions from groups of managers, clients, customers, and the general public.

COMPUTER/SYSTEM SKILLS REQUIREMENTS:
See required qualifications and essential duties.

SKILLS REQUIREMENTS:

• Strong analytical ability to calculate figures and analyze complex data.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
• Ability to become proficient in: All AgileOne Technology

CERTIFICATES, LICENSES, REGISTRATION REQUIREMENTS:

• None Required

MENTAL DEMANDS:

• Problem solving
• Working with interruptions
• Analytical skills
• Creativity
• Organization
• Communications – written
• Communications – verbal

PHYSICAL DEMANDS:

• Office or remote based role

Other Job Compensation: This position has no additional compensation.

Certifications/Licenses:

Indian Rupee

Computer/System Skills Requirements:

Benefits:

Standard India benefits

Grade: Global

Pay Min:

Pay Mid:

Pay Max:

Additional EEO:

Additional EEO 2:

Additional EEO 3:

Hours: Night Shift Monday through Friday

Time Zone:

Day 1: Monday

Day 2: Tuesday

Day 3: Wednesday

Day 4: Thursday

Day 5: Friday