Job Title: Manager, Data & Analytics
Location: Somerset, NJ
Onsite 5x per week
Full-Time Position
Base Salary Range: $155-$170k/yr
Position Summary
The Manager, Data & Analytics is responsible for leading the design, development, and operation of the company''s data platform and BI ecosystem. This role provides technical leadership and people management for a small, high-impact team delivering trusted datasets, scalable pipelines, and executive-ready reporting. The role partners closely with business stakeholders to translate data needs into governed solutions, ensures data quality and performance, and sets the roadmap for expanding advanced analytics and data systems as the business grows.
Essential Responsibilities:
Team Leadership & Delivery Management
• Lead, mentor, and develop the Data & Analytics team (Power BI, Data Engineering) to foster strong engineering practices, ownership, and collaboration.
• Plan and manage team workload, priorities, and deliverables.
• Maintain visibility of work through established Jira, Confluence, and GitHub practices.
Data Engineering, ETL, & Data Warehousing
• Oversee the design, development, and maintenance of data pipelines, data warehouse/lake structures, and transformations, ensuring scalable patterns and reliable delivery.
• Ensure integrations from multiple sources are reliable and consistent; implement standards for data modeling, transformation, and dataset lifecycle management.
• Drive performance tuning and cost/performance optimization across pipelines, storage, and query patterns.
• Reduce technical debt and improve maintainability.
Business Intelligence Strategy, Governance, & Administration
• Lead the design, development, and deployment of Power BI reports and (as applicable) SSRS reports and dashboards, ensuring consistency of metrics and definitions across the enterprise.
• Manage Power BI tenant administration, including governance, security posture, workspace strategy, and compliance partnership with internal security stakeholders.
• Ensure reporting solutions are optimized for usability and performance by implementing best practices for semantic modeling, refresh strategy, and report performance.
Data Quality, Reliability, & Operational Excellence
• Establish and enforce data quality and accuracy standards.
• Implement validation, monitoring, and issue-resolution workflows to maintain trust in data products.
• Own incident response for data/reporting failures, including root-cause analysis and prevention to drive continuous improvement in reducing recurrence.
• Promote documentation, lineage, and clarity of definitions for key datasets and models to enable safe self-service analytics.
Stakeholder, Partnership & Requirements Translation
• Collaborate with business stakeholders to understand data needs and translate them into technical requirements, delivery plans, and measurable outcomes.
• Serve as a trusted advisor on analytics design – balancing speed, governance, and scalability – while aligning priorities across departments.
Training, Enablement & Adoption
• Ensure the team produces clear technical documentation (specs, mappings, solution designs) and supports end-user enablement where appropriate (e.g., training on report usage/authorship practices).
• Promote responsible self-service BI and consistent definitions to reduce one-off reporting and improve adoption.
Routine IT Functions
• Handles all Help Desk tickets related to reporting.
• Performs general software and hardware installations as required.
Other Important Responsibilities
• Handles related email and telephone correspondence in a timely and professional manner.
• Responds to inquiries for the purpose of resolving problems, providing information and/or referring to appropriate personnel.
• Will be required to perform other job functions, as assigned.
Required Skills and Competencies
• Minimum 5 years of relevant experience.
• Experience acting as Power BI tenant admin or leading the governance model (workspaces, security, release standards).
• Familiarity with building a reporting ecosystem that includes SSRS and/or enterprise BI patterns (tabular models, standardized metric layers).
• Experience partnering with data science/advanced analytics functions and preparing datasets for ML/forecasting use cases.
• Hands-on experience implementing Medallion architecture in a lakehouse environment.
• Expertise in transforming Parquet datasets into Delta tables for reliable, incremental processing.
• Experience building ETL/ELT pipelines and working with both structured and unstructured data.
• Familiarity with CI/CD for data pipelines is a plus.
• Experience with Power BI integration and data modeling.
• Excellent analytical and problem-solving skills.
• Excellent record-keeping and auditing skills.
• Excellent communication skills, both oral and written.
• Strong attention to detail and ability to self-check work.
• Excellent time management skills.
• Task-oriented, excellent organizational skills, ability to prioritize workload.
• Enthusiastic attitude, cooperative team player, adaptable to new or changing circumstances, professional demeanor, sensitive to client needs, self-motivated, creative and innovative.
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