Senior Business Intelligence Analyst

JD : Senior Business Intelligence Partner

Randstad Sourceright 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 Snr 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.

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. (tier-based program requirements TBD).

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

Education

● Bachelor's degree preferred (EMEA), mandatory (APAC)

● Master's degree a plus

Mandatory Experience

● 8+ 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