Reporting Manager

We are seeking a senior-level Data Reporting & Product Analytics Manager to lead and scale our enterprise reporting and analytics function. This role blends technical architecture expertise, product analytics thinking, governance maturity, and team leadership.

The ideal candidate will drive standardized reporting, centralized semantic modeling, automation, ML-enabled insights, and scalable data architecture using Microsoft Fabric and modern Azure data platforms.

This role is responsible for ensuring that every report, dashboard, and analytics product is:

Accurate

Scalable

Secure

Business-aligned

Performance-optimized

Key Responsibilities

Lead and mentor the Reporting and Analytics team across daily, weekly, and ad-hoc reporting.

Define and enforce enterprise reporting standards, naming conventions, and modeling practices.

Drive centralized semantic model strategy to prevent report duplication and KPI inconsistency.

Establish reporting SLAs, TAT tracking, and performance benchmarks.

Own reporting governance and certification process.

Collaborate with Product, Marketing, Operations, and Leadership to define measurable KPIs.

Design scalable product analytics frameworks (funnels, cohort analysis, retention tracking, attribution models).

Drive business insights beyond reporting focus on decision-enabling analytics.

Translate business goals into measurable analytics layers.

Support experimentation frameworks (A/B testing metrics, impact measurement).

Design and manage enterprise data architecture using:

oMicrosoft Fabric

oOneLake (Delta Lake format)

oMedallion Architecture (Bronze/Silver/Gold)

Implement centralized semantic models in Fabric.

Optimize use of Direct Lake vs Import vs DirectQuery modes.

Drive environment segregation (Dev/Test/Prod) using Deployment Pipelines or Git integration.

Coordinate schema evolution and source data validation.

Oversee ETL/ELT workflows using Azure Databricks and Fabric pipelines.

Implement incremental refresh and partition strategies.

Automate reporting pipelines using scheduled refresh and job orchestration.

Monitor refresh failures and capacity utilization.

Improve reporting reliability and reduce manual dependencies.

Collaborate with ML engineers or build predictive use cases such as:

oDemand forecasting

oCustomer churn prediction

oLead scoring

oTrend detection

Enable ML output integration into Power BI/Fabric dashboards.

Ensure model outputs are business-ready and validated.

Enforce RBAC policies and workspace-level access control.

Implement dynamic RLS using Entra ID group mapping.

Manage data security using:

oAzure Key Vault

oSecure credential management

oPII handling standards

Maintain audit logs and compliance readiness (SOC 2 awareness preferred).

Control dataset sprawl and workspace governance.

Monitor Fabric capacity usage (e.g., F64 and above).

Optimize model size, refresh strategy, and high-cardinality structures.

Reduce unnecessary compute and storage costs.

Proactively identify performance bottlenecks before escalation.

Technical Expertise:

Microsoft Fabric (OneLake, Direct Lake, Deployment Pipelines)

Power BI Desktop, Power BI Service, Semantic Models

Advanced DAX and data modeling (Star schema expertise mandatory)

Azure Databricks and Delta Lake

Azure SQL / Synapse exposure

ETL/ELT design principles

Medallion Architecture implementation

Incremental refresh & partition management

DevOps / Git integration for BI artifacts

Jira / Azure DevOps for workflow management

Capacity monitoring and performance tuning

Basic ML/AI integration knowledge preferred

Leadership & Stratergic Skills:

Experience leading cross-functional BI/reporting teams.

Strong architectural thinking beyond dashboard creation.

Ability to balance speed vs governance.

Strong stakeholder communication and executive reporting skills.

Escalation handling and structured problem-solving.

Ownership mindset and delivery accountability.

Qulaifications:

Bachelor's or Master's in Data Analytics, Computer Science, Engineering, or Business Intelligence.

8+ years of experience in enterprise reporting / BI / analytics roles.

3+ years managing reporting or analytics teams.

Experience implementing Microsoft Fabric or enterprise Power BI environments.

Experience with data governance frameworks and reporting SLAs.

Ideal candidate Profile:

Thinks like a product owner, not just a report builder.

Understands enterprise architecture.

Comfortable discussing capacity, cost, and governance with leadership.

Focused on automation and long-term scalability.

Drives insight generation, not just data presentation.