Enterprise Data Analyst

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.   

Essential Data Analyst Duties and Responsibilities:

We are seeking a skilled Data Analyst to join our dynamic team. As a Data Analyst, you will play a crucial role in supporting decision-making processes, optimizing business operations, and driving organizational growth through data-driven strategies. Data Analyst will be responsible for creation of descriptive, diagnostic, predictive and prescriptive data analysis. The ideal candidate will have a strong analytical mindset, proficiency in data analysis tools and techniques, and the ability to derive actionable insights from complex datasets. That candidate would have experience in early childhood / early education / health and human services business domain and familiarity of working with the public institutions, like municipal, state or federal government.

Development:

• 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.

Required 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. - 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. - 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