Title: Data Analyst (Hybrid)
Musthave skills: exp as a Data Analyst Data Engineer Database Developer Data Architect Business Analyst or similar role; SQL and exp with database management systems (e.g. MySQL PostgreSQL MongoDB Redshift Snowflake); AWS tech stack (Glue S3 Athena Redshift); Salesforce Informatica Snowflake Tableau and MuleSoft; edu/gov/healthcare/childcare exp
Location: Denver CO PLEASE SEND LOCAL CANDIDATES ONLY (currently located in Denver CO) Estimated Duration: 4 months with possible extension (s) Additional information: The candidate should be able to provide an ID if the interview is requested. The candidate interviewing must be the same individual who will be assigned to work with our client.
Requirements: Availability to work occationally at the Clients site in Denver CO (required);
Experience working as a Data Analyst (79 years);
Experience working as Data Engineer Database Developer Data Architect Business Analyst or similar role;
Experience with databasebacked web applications;
Experience with Structured Query Language (SQL) creation of SQL queries to retrieve specific data from disparate data sources by specifying various search criteria;
Experience with database management systems (e.g. MySQL PostgreSQL MongoDB Redshift Snowflake);
Experience working with the public institutions like municipal state or federal government;
Experience in identifying and addressing data quality issues;
Bachelors or Masters degree in Computer Science Information Technology or a related field.
Preferred: Experience in early childhood / early education / health and human services business domain;
Experience with both structured and unstructured data both SQL and NoSQL databases;
Experience with columnar databases;
Experience with AWS tech stack (Glue S3 Athena Redshift) Salesforce Informatica Snowflake Tableau and MuleSoft;
Responsibilities include but are not limited to the following:
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 crossfunctional teams to understand business requirements and provide analytical support for strategic initiatives.
Conduct adhoc analyses to address specific business questions and support decisionmaking processes.
Monitor data quality and integrity identifying and resolving discrepancies or anomalies as needed.