Data Analyst

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.

Qualifications:

• 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.

Compensation

$31.66-$36.66 Hourly

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