Data Analyst
Hybrid Role!!!
Candidate Must Be Local
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.
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
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.