Data Analyst

Description

We are looking for a Data Analyst to join a non-profit organization in a contract-to-permanent capacity. This position will focus on building and improving data integration processes that support reporting, analytics, and day-to-day business operations. The role is ideal for someone who can turn complex data needs into dependable technical solutions while helping maintain strong data quality, performance, and governance standards.

Responsibilities:
Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms.
Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools.
Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets.
Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance.
Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions.
Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps.
Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs.
Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools.
Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects.
Help uphold data governance, security, and retention standards across integration and reporting processes.

Requirements

Experience in data analysis with a strong background in building and maintaining data pipelines or integration workflows.
Working knowledge of ETL or ELT development, SQL, stored procedures, and data transformation techniques.
Ability to identify data issues, perform root-cause analysis, and implement controls that improve data accuracy.
Familiarity with data warehousing, data lakes, and performance tuning for databases or reporting environments.
Experience supporting business intelligence reporting with reliable datasets for tools such as Power BI or Tableau.
Understanding of data governance, security practices, and retention requirements in a structured environment.
Exposure to modern cloud data platforms such as Azure Data Factory, Synapse, Snowflake, Databricks, or related technologies.
Knowledge of fraud analytics, fraud investigation, anti-fraud practices, or suspected fraud analysis is valued.

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