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• No of position :- ( 1 )

• Post :- 25th Mar 2024

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

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