The Data Analyst candidate must have the following experience:

• Collect, clean, and preprocess raw data from various sources to ensure accuracy and reliability.
• Perform exploratory data analysis to uncover patterns, trends, and insights that drive business decisions.
• Develop and maintain dashboards, reports, and visualizations to communicate key metrics and findings to stakeholders.
• Utilize statistical methods and predictive modeling techniques to identify opportunities for process improvement and optimization.
• Collaborate with cross-functional teams to understand business requirements and provide analytical support for strategic initiatives.
• Conduct ad-hoc analyses to address specific business questions and support decision-making processes.
• Monitor data quality and integrity, identifying and resolving discrepancies or anomalies as needed.
• Proficient with Structured Query Language (SQL) - creation of SQL queries to retrieve specific data from disparate data sources by specifying various search criteria.
• Proficient in creating, modifying, and querying relational and columnar databases.

• Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft .
• Strong ability to research and manage complex data requests.
• Sound oral and written communication skills.
• High evaluative and interpretive skills.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven work experience as a Data Analyst, Data Engineer , Database Developer, Data Architect, Business Analyst or similar role.
• Experience with database-backed web applications.
• Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake).
• Familiarity with data manipulation languages and the principles of database design.
• Knowledge of software development and user interface web applications.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• Demonstrated experience in performing of 4 types of Data Analytics
• Descriptive Analytics tells you what happened in the past.
• Diagnostic Analytics helps you understand why something happened in the past.
• Predictive Analytics predicts what is most likely to happen in the future.
• Prescriptive Analytics recommends actions you can take to affect those outcomes.
• Demonstrated experience in identifying and addressing data quality issues

Preferences:

• Experience in early childhood / early education / health and human services business domain
• Background with both structured and unstructured data.
• Experience with both SQL and NoSQL databases.
• Familiarity with columnar databases.
• Experience with Salesforce, AWS Redshift, Snowflake, Informatica, Tableau, MuleSoft.
• Physical presence in the state of Colorado

Job Types: Full-time, Contract

Pay: $75.00 - $80.00 per hour

Benefits:

• Health insurance

Schedule:

• 8 hour shift

Ability to Relocate:

• Denver, CO: Relocate before starting work (Required)

Work Location: In person