Senior Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with essential stakeholders to evaluate their data and analytics requirements by gathering data specifications, investigating internal record systems, and analyzing publicly accessible data sources while assessing their data quality.

• Request and secure private data sources to fulfill business demands for data and insights.

• Determine the translation or transformation needs for sourced data to integrate into the data warehouse.

• Enhance the quality of sourced data through data curation and validation rules, in addition to maintaining the Master Data tables.

• Uphold the Logical Data Dictionary (LDD) with information regarding data lineage.

• Guarantee the timely delivery of high-quality insights to key stakeholders by reconciling and validating dashboards and reports consistently.

• Record functional and non-functional business requirements for gathering, loading, transforming, curating, processing data, and for visualizing and distributing insights.

• Recognize opportunities for internal process improvements aimed at automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.

• Deliver actionable insights using analytics tools related to customer acquisition, operational efficiency, and other critical business performance metrics.

⛳️ Requirements

• Bachelor's Degree in Computer Science, Data Science, or a related quantitative discipline.

• Master’s Degree in Business Administration (MBA) or a relevant field preferred.

• At least 5 years of experience in Data Analyst-related roles, with a minimum of two years in a senior technical capacity.

• Extensive expertise in eliciting business requirements, documenting user stories, analyzing data sources, and evaluating data quality.

• Strong proficiency in data analysis, technical documentation, logical data dictionaries, data validation rules, acceptance criteria, and software development lifecycle (SDLC) methodologies such as Scrum and IT Service Management (ITSM) – ITILv4.

• Experience in assessing data integration needs utilizing Extract, Transform, and Load (ETL) tools and contemporary data pipelines.

• Demonstrated experience in querying and analyzing data from SQL relational databases, including AuroraDB, IBM DB2, MemSQL, MS SQL Server, MySQL, Postgres, Snowflake, as well as NoSQL databases like Cassandra, DynamoDB, Redis, and MongoDB.

• Experience in gathering structured, semi-structured, and unstructured data in various common formats from internal core systems and third-party providers like Google Analytics, Facebook Insights, Zillow, CoreLogic, MLS Data, Public Records, and Property Data.

• Strong analytical capabilities to document processes that support data transformation, data structures, metadata, dependency, and workload management.

• Robust data governance skills to ensure the highest quality of data is accessible for analysis and reporting accuracy.

🏝️ Benefits

• Medical

• Dental

• Vision

• Life insurance

• AD&D

• LTD

• 401(k) with employer match