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Job Description: Enterprise Data Analyst
Location: Denver CO (Hybrid)
Duration: Long Term
Rate: $80/hr on 1099.
Duties and Responsibilities:
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.
· 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
o Descriptive Analytics tells you what happened in the past.
o Diagnostic Analytics helps you understand why something happened in the past.
o Predictive Analytics predicts what is most likely to happen in the future.
o 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 Type: Full-time
Pay: $79.00 - $80.00 per hour
Expected hours: 40 per week
Work Location: On the road
Full Time
$93k-122k (estimate)
03/25/2024
05/09/2024
The following is the career advancement route for Enterprise Data Analyst positions, which can be used as a reference in future career path planning. As an Enterprise Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Enterprise Data Analyst. You can explore the career advancement for an Enterprise Data Analyst below and select your interested title to get hiring information.