Data Analyst
1 day ago
Location: Denver, CO (Hybrid)
Duration; 6+ Months
The Data Analyst 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.
Responsibilities:
- The Data Analyst candidate must have the following experience:
- Collect, clean, and pre process 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.
- 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.
- Knoledge 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
- 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
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