Enterprise Data Analyst

2 weeks ago

Denver, United States Lorven Technologies Full time
Job Title: Enterprise Data Analyst

Job Location: Denver, CO - Hybrid

Duration: 6 Months Contract

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.

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.

Essential Data Analyst 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
    • 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

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