Senior Manager, Data Analytics and Business Intelligence
RELX
AzureBigQueryCloudETLPythonSQLTableau
Senior Manager, Data Analytics and Business Intelligence
RELX
full-time
Posted on:
Location Type: Hybrid
Location: Boca Raton • Florida, Ohio • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AzureBigQueryCloudETLPythonSQLTableau
About the role
- Lead, mentor, and grow a team of data analysts and BI developers; set clear performance goals and support career development
- Define and execute analytics projects aligned with organizational goals and enterprise-wide strategic initiatives
- Foster a data-driven culture through stakeholder engagement and data literacy initiatives
- Collaborate across a matrixed organization to define KPIs and reporting standards with stakeholders and executive leadership
- Oversee design, development, and maintenance of scalable data models, dashboards, and reports using modern BI tools (SQL, Power BI, Tableau, GitHub)
- Ensure high data quality and integrity by driving data governance and best practices; collaborate with Enterprise Data Management teams for governance, security, and quality
- Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
- Lead integration of structured and unstructured data sources to create a unified analytics environment
- Translate complex data insights into actionable business strategies supporting revenue growth, customer retention, and operational efficiency
- Evaluate and implement AI/ML techniques and new AI technologies (generative AI, LLMs, Databricks, DataGenie) to drive innovation and automation
Requirements
- 8+ years in analytics leadership roles, managing cross-functional data teams
- Proven ability to influence senior stakeholders and drive data-driven decisions
- Excellent interpersonal, communication, and stakeholder management skills
- Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
- Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
- Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
- Strong understanding of business operations, KPIs, customer, and financial metrics
- Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
- Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
- Familiarity with GenAI and LLMs (e.g., OpenAI) and understanding of responsible AI principles and data ethics
- Advanced Python skills for data analysis, modeling, and ML
- Experience applying statistical modeling and machine learning
Benefits
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- In addition to annual Paid Time Off, up to two days of paid leave to participate in Employee Resource Groups and to volunteer with your charity of choice
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingdata visualizationETL processesPythonstatistical modelingmachine learningAI/ML techniquesdata governancedata quality
Soft skills
leadershipmentoringstakeholder managementcommunicationinterpersonal skillsinfluencingcollaborationcareer developmentdata literacystrategic thinking
