Title: Data & AI Senior Analyst
Location: New York City NY (Onsite- Local candidates only)
Duration: 04 months
Job Descritption:
Key Responsibilities:
- Extract transform and load (ETL) data from various sources ensuring data quality integrity and accuracy.
- Perform data cleansing validation and preprocessing to prepare structured and unstructured data for analysis.
- Develop and execute queries scripts and data manipulation tasks using SQL Python or other relevant tools.
- Analyze large datasets to identify trends patterns and correlations drawing meaningful conclusions that inform business decisions.
- Create clear and concise data visualizations dashboards and reports to communicate findings effectively to stakeholders.
- Collaborate with clients and cross-functional teams to gather and understand data requirements translating them into actionable insights.
- Work closely with other departments to support their data needs.
- Collaborate with Data Scientists and other analysts to support predictive modeling machine learning and statistical analysis.
- Continuously monitor data quality and proactively identify anomalies or discrepancies recommending corrective actions.
- Stay up-to-date with industry trends emerging technologies and best practices to enhance analytical techniques.
- Assist in the identification and implementation of process improvements to streamline data workflows and analysis.
- Documents client organizations direction structure business processes and requirements as they relate to creation and maintenance of data.
- Identifies cross impact to other systems/initiatives/capabilities.
- Proposes solutions to problems and considers timeliness effectiveness and practicality in addressing client needs.
- Work closely with client stakeholders to understand data challenges objectives and provide guidance and training on the data governance framework.
- Creates consolidates and presents documents relating to use cases policies processes standards and guidelines maintaining them throughout the project including traceability back to requirements.
- Provides a business or process perspective during design reviews.
- Participates in change control process throughout the project.
- Proactively carries out project support /administrative functions.
Basic Qualifications:
- 3 years of proficiency in data analysis tools such as Tools - e.g. Excel SQL R Python.
- 3 years of experience supporting Software Engineering Data Engineering or Data Analytics projects.
- 2 years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
- Undergraduate or Graduate degree preferred
- Ability to travel at least 25%.
Preferred Skills:
- Strong proficiency in data analysis tools such as Tools - e.g. Excel SQL R Python.
- Experience with data visualization tools like Tools - e.g. Tableau Power BI Looker.
- Experience with cloud data platforms such as Platforms - e.g. AWS Redshift Google BigQuery Azure Synapse.
- Familiarity with ETL (Extract Transform Load) processes and tools.
- Knowledge of machine learning techniques and tools.
- Experience in a specific industry (e.g. financial services healthcare manufacturing) can be a plus.
- Understanding of data governance and data privacy regulations.
- Ability to query and manipulate databases and data warehouses.
- Excellent analytical and problem-solving skills.
- Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.
- Detail-oriented with a commitment to accuracy.
Title: Data & AI Senior Analyst Location: New York City NY (Onsite- Local candidates only) Duration: 04 months Job Descritption: Key Responsibilities: Extract transform and load (ETL) data from various sources ensuring data quality integrity and accuracy. Perform data cleansing validation an...
Title: Data & AI Senior Analyst
Location: New York City NY (Onsite- Local candidates only)
Duration: 04 months
Job Descritption:
Key Responsibilities:
- Extract transform and load (ETL) data from various sources ensuring data quality integrity and accuracy.
- Perform data cleansing validation and preprocessing to prepare structured and unstructured data for analysis.
- Develop and execute queries scripts and data manipulation tasks using SQL Python or other relevant tools.
- Analyze large datasets to identify trends patterns and correlations drawing meaningful conclusions that inform business decisions.
- Create clear and concise data visualizations dashboards and reports to communicate findings effectively to stakeholders.
- Collaborate with clients and cross-functional teams to gather and understand data requirements translating them into actionable insights.
- Work closely with other departments to support their data needs.
- Collaborate with Data Scientists and other analysts to support predictive modeling machine learning and statistical analysis.
- Continuously monitor data quality and proactively identify anomalies or discrepancies recommending corrective actions.
- Stay up-to-date with industry trends emerging technologies and best practices to enhance analytical techniques.
- Assist in the identification and implementation of process improvements to streamline data workflows and analysis.
- Documents client organizations direction structure business processes and requirements as they relate to creation and maintenance of data.
- Identifies cross impact to other systems/initiatives/capabilities.
- Proposes solutions to problems and considers timeliness effectiveness and practicality in addressing client needs.
- Work closely with client stakeholders to understand data challenges objectives and provide guidance and training on the data governance framework.
- Creates consolidates and presents documents relating to use cases policies processes standards and guidelines maintaining them throughout the project including traceability back to requirements.
- Provides a business or process perspective during design reviews.
- Participates in change control process throughout the project.
- Proactively carries out project support /administrative functions.
Basic Qualifications:
- 3 years of proficiency in data analysis tools such as Tools - e.g. Excel SQL R Python.
- 3 years of experience supporting Software Engineering Data Engineering or Data Analytics projects.
- 2 years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
- Undergraduate or Graduate degree preferred
- Ability to travel at least 25%.
Preferred Skills:
- Strong proficiency in data analysis tools such as Tools - e.g. Excel SQL R Python.
- Experience with data visualization tools like Tools - e.g. Tableau Power BI Looker.
- Experience with cloud data platforms such as Platforms - e.g. AWS Redshift Google BigQuery Azure Synapse.
- Familiarity with ETL (Extract Transform Load) processes and tools.
- Knowledge of machine learning techniques and tools.
- Experience in a specific industry (e.g. financial services healthcare manufacturing) can be a plus.
- Understanding of data governance and data privacy regulations.
- Ability to query and manipulate databases and data warehouses.
- Excellent analytical and problem-solving skills.
- Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.
- Detail-oriented with a commitment to accuracy.
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