Senior Data Analyst

Overview

We are seeking a Senior Data Analyst to play a critical role in strengthening the organization's analytics foundation through business intelligence and data analytics delivery, supported by data discovery and centralization.

This role is accountable for producing high\-quality, scalable analytics and dashboards that support decision\-making, while also improving clarity and consistency across distributed data systems.

The individual in this role serves as a trusted owner of analytical integrity, responsible for defining and maintaining metric logic, validating data availability and definitions, and ensuring analytics are built on clearly understood and well\-documented data sources.

Success requires technical depth, analytical rigor, and the ability to balance day\-to\-day analytics delivery with ongoing data discovery in a decentralized data environment.

Responsibilities

#### **Business Intelligence and Data Analytics**

• Design, build, and maintain BI dashboards and analytical solutions that support operational, strategic, and ad hoc analytical needs.
• Own metrics and KPIs end\-to\-end, including definition, calculation logic, validation, and ongoing consistency.
• Translate business questions into analytical approaches, dashboards, reports, and supporting data structures.
• Ensure analytics are accurate, well\-documented, and aligned with agreed\-upon metric definitions.
• Provide ongoing analytical support to stakeholders, including investigations, deep dives, and clarification of results.

#### **Data Discovery, Centralization and Documentation**

• Lead data discovery efforts to determine whether required data exists, how it is defined, and where it resides.
• Identify equivalent or related data elements across systems and document authoritative sources.
• Support data centralization and consolidation by identifying overlaps, gaps, and inconsistencies across datasets.
• Create and maintain documentation that supports repeatable analytics, metric consistency, and long\-term scalability.

#### **Data Quality and Accuracy**

• Validate data used in dashboards and analyses to ensure accuracy and reliability.
• Identify data limitations, definition gaps, or quality issues and clearly communicate their impact.
• Promote consistent interpretation and responsible use of metrics across teams.

#### **Cross\-Functional Partnership**

• Create BI dashboards and analytical outputs in close partnership with business, product, and technical teams.
• Serve as a day\-to\-day analytics partner supporting decision\-making through data and insights.
• Communicate analytical findings, assumptions, and limitations clearly to both technical and nontechnical audiences.
• Operate effectively in environments with evolving documentation and distributed data ownership.

Qualifications

Required

• Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related field.
• 3\+ years of experience in data analytics, business intelligence, or a related discipline.
• Advanced SQL skills with experience querying complex, multi\-schema, multi\-source data environments.
• Strong experience delivering BI dashboards, recurring analytics, and ad hoc analysis for business stakeholders.
• Demonstrated experience operating in decentralized or federated data environments.
• Experience contributing to data inventories, cataloging efforts, or metric standardization initiatives.
• Hands\-on experience with modern BI and visualization tools (for example, Power BI, Tableau, Looker, or equivalent).

Preferred

• Experience with data modeling, analytics engineering, or data science practices.
• Exposure to statistical analysis or advanced analytical techniques.
• Familiarity with formal data governance or data quality frameworks.