Principal Data Analyst – Geospatial Intelligence

Role Overview

• Collaborates with executive stakeholders, technical staff, analysts and subject-matter experts in creating robust, high-trust, scalable Enterprise data analytics solutions for business insight.
• Advises business and technical leadership, and Product Owners in defining and scoping strategic Enterprise, Pillar, and Line of Business analytics product backlogs and performance metrics.
• Performs advanced data analysis including sampling, modeling, profiling, and evaluation of statistical metrics.
• Researches and assesses data quality, data lineage and business use of data sources for critical Enterprise/Master data.
• Provides leadership, Business Analysts and other Data Analysts with recommendations to address data quality issues and recommends the best data sources to enable effective analysis of critical master data.
• Fosters the cross-functional collaboration required to leverage data as a strategic asset to enable self-service analytics (i.e.; insight generation, dashboards), advanced analytics (i.e.; predictive and prescriptive modeling), corporate performance management, and digital transformation.
• Ensures technical metadata and business glossary meets data protection, data privacy and data quality standards.
• Provides administrative and configuration support for the Enterprise information catalogue and business glossary, and the Enterprise Performance Management application.
• Collaborates within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to deliver analytics solutions.
• Adapts standard or develops new business rules for classification, forecasting, simulation, optimization, and summarization necessary to support analytic needs.
• Assesses the accuracy of data sources and defines and documents cleansing strategies to meet data quality requirements; provides recommendations to define data quality standards.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Statistics, Analytics etc., or equivalent work experience
• 6 years performing data analysis across legacy, cloud and package applications using data analysis toolsets
• 6 years’ experience working with analytical capabilities including knowledge about various analytical architectures, patterns and methods, analytics applications and Data warehouse platforms
• 6 years’ experience creating detailed technical specifications, metadata and release documentation
• Experience using SQL to perform data segmentation and analysis
• Must have experience working with granular raw data from operational systems
• Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas
• Demonstrates highly effective cross functional leadership and experience working in a large matrixed organization, aligning cross functional stakeholders, gathering business requirements, and launching product features.

Tech Stack

• Cloud
• SQL

Benefits

• bonuses and commissions