Randstad Enterprise | Business Intelligence Partner | delhi

About Randstad Enterprise
Randstad Enterprise is a global talent leader, providing solutions and expertise that help
companies position for growth, execute on strategy, and improve business agility. Our
experience encompasses all facets of the talent acquisition of permanent employees and the
contingent and contractor workforce. Key offerings include Managed Services Provider (MSP)
programs, Recruitment Process Outsourcing (RPO), and Blended Workforce Solutions.
Randstad Sourceright offers solutions Globally in North America, EMEA, and APAC. Working
for a multi-country organization means working with clients and colleagues from different
backgrounds. This results in a digital way of working and requires a proactive and culturally
inclusive mindset.
Purpose of the job
This role aims to partner with the Regional and Global Stakeholders within RSR (who can include but are not limited to Operational Teams, Data engineering, BI Support Teams, Internal teams, and RSR clients) and provide business solutions through data driven insights/recommendations.
We're seeking someone with a flair for data storytelling to join our team. In this role, you'll transform complex data into compelling narratives that drive business decisions. This position has operational and technical responsibility for driving data insights, analytics, and consulting across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve problem solving for external clients and internal stakeholders.
As a Business Intelligence Partner, you will oversee the end-to-end delivery of regional and global accounts with respect to data and analytics. This will include working with data engineering to provide usable datasets, creating dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the stakeholders. The key to this is that as a Business Intelligence Partner, you will be a commercial and operational expert who can translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities, and provide business solutions.
Key stakeholders
RSR internal stakeholders include but are not limited to C-Suite, Finance, Regional
Managing Directors, Vice Presidents, and operational account leaders
RSR external clients
Position Summary
Consulting / Partnering (60%):
Leverage data analytics to extract actionable insights from external client and
internal RSR data, to help drive strategic business decisions
Analyze the client’s data to present the account leadership and client with potential
approaches to identify service delivery improvement opportunities and value-added
Initiatives.
Conduct in-depth data analysis to uncover revenue-generating opportunities,
supporting account leadership with data-driven recommendations.
Serve as a key liaison between clients, operations teams, and data engineering,
translating business needs into technical requirements
Actively collect and monitor stakeholder feedback to quantify Data and Analytics
impact and ROI
Collaborate with global teams to standardize data practices and share analytics best
practices, along with coaching/mentoring junior team members
Apply expertise in data visualization and storytelling to effectively communicate
complex insights to stakeholders
Build and maintain client/stakeholder relationships through consistent improvement
and delivery of high-value data analytics
Provide thought leadership in business intelligence and data analytics methodologies
Liaise with client program owners and ATS Vendors/Partners to optimize data
integration and reporting capabilities
Implementation of BI solutions (30%):
Be the implementation workstream lead responsible for delivering a reporting suite
and introductory standard for the account and client.
Provide recommendations on organizing the same concept offerings to appropriate
‘tier-based’ programs currently licensed for DOMO/Talent Radar.
Responsible for ensuring all contractual conditions around reporting, financial
elements, SLA's, and KPI's are reviewed, understood, and adhered to
Assess operating reality to validate solution requirements and adjust as needed.
Implement and reinforce tools, including standards, procedures, and documentation.
Ensure the team has living documentation on reporting requirements, data
processes, and other program-specific content.
Oversee the design and build of insightful, scalable, and actionable visualizations.
Develop, document, and maintain a comprehensive quality management program
Build, implement, and schedule production standards of files and reports to ensure
accuracy and timeliness.
Ensure reporting quality and accuracy by evaluating, integrating, and complementing
data sources.
Execute continuous process improvement process.
Knowledge of general database functions, data storage, data models, SQL, and data
transfer protocols
Maintain Standards (10%):
Work within the agreed parameters aligned to the global method of BI production
Leverage an agile work environment to incorporate new innovative and value
components into existing portfolios
Organize a feedback standard from stakeholders (internal and external) in order to
create use cases, case study materials and other customer-facing material
(coordinate with RFP and sales approach as appropriate)
Promote available resources and enterprise tools for operations training/ coaching
needs from a BI perspective.
Ensure data governance principles and guidelines are being met
Job Requirements
Education
Bachelor’s degree mandatory
Master’s degree a plus
Mandatory Experience
7-9 years experience in data analytics and/or consulting in a delivery environment
Experience with DOMO (or other visualization tools such as Tableau, Spotfire, PowerBI) and GCP
Management Information/Business Intelligence/Analytics background is essential
Project Management and/or process improvement experience
Talent Acquisition/MSP/RPO/People Analytics experience
Preferred Experience:
Advanced Analytics/Data science/AI/ML experience preferred
Knowledge, Skills, and Abilities:
Technical Skills:
Data Visualization:
Expertise in data visualization tools such as DOMO, Tableau, Spotfire,Qlikview, Power BI - understanding of data visualization methods including usage of various chart types and dashboarding
Data Manipulation:
Proficiency in data cleansing and preprocessing techniques to ensure
data quality
Strong SQL skills for data extraction, transformation, and analysis
Proficiency in advanced Excel, including macros, pivot tables, and data modeling
Knowledge of data governance principles and best practices for maintaining data integrity
Analytics:
Knowledge of key descriptive analytics techniques including but not limited to data summarization (central tendency, dispersion etc.), data visualization methods, time series analysis, correlation analysis, cross- tabulation, frequency distributions, Pareto analysis, cohort analysis, funnel analysis, RFM analysis, exploratory data analysis, and basic cluster analysis for segmentation
Proficiency in data mining techniques to uncover patterns and trends in large datasets
Experience with predictive modeling for forecasting and decision support, knowledge of A/B testing methodologies to drive continuous improvement, and the ability to apply statistical techniques to inform strategy and investment decisions is a plus
Client-facing Experience:
Communication:
Excellent communication and facilitation skills required for various levels throughout external and internal organizational stakeholders
Presentation & Storytelling:
Expertise in narrative structures and audience analysis, so as to create compelling data narratives that aid driving business decisions
Excellent presentation skills used in delivering solutions to senior leadership and client stakeholders
Skilled in translating data insights into clear, non-technical language for diverse stakeholders
Demonstrated continuous improvement, process documentation, and workflow skills
Organizational Experience :
Working in multinational organizations, preferably in HR Staffing, Recruitment or Outsourcing

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