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    Enterprise Data Analyst - Denver, United States - Crescens

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    Description
    Job Title: Enterprise Data Analyst
    Location: Denver, Colorado
    Duration: 4+months
    Type: Contract

    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 decisionmaking 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 and 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

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