Quality - Data Analyst

TechDigital Group; Washington (District of Columbia); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is on the lookout for a Gen AI Engineer to drive data-driven solutions. With a focus on SQL Scripting, Data Science, and Product Analytics, this role is pivotal in shaping the data architecture and analytics capabilities of the organization. The ideal candidate will have extensive experience in statistical analysis and a proven ability to derive actionable insights from complex datasets. This position not only offers the chance to work on impactful projects but also to mentor junior team members and collaborate with cross-functional teams to enhance data processes. Join a forward-thinking company where your expertise can lead to significant advancements in data governance and analytics.

Qualifications

• 10-12 years experience in SQL Scripting and Data Science.
• Expertise in statistical analysis and product analytics.

Responsibilities

• Design and implement scalable data architectures.
• Oversee SQL script development for data integrity.
• Utilize data science techniques for predictive modeling.

Skills

SQL Scripting

Data Science

Statistics

Product & Data Analytics

Education

Degree in Computer Science

Degree in Statistics

Degree in Data Science

Job description

Job #: 1899
Pay Rate: Not Specified
Job type: contractor
Location: Irving, TX

Required Skills: SQL Scripting, Data Science, Statistics, Product & Data Analytics

Job Summary

We are seeking a highly skilled and experienced Gen AI Engineer with 10 to 12 years of experience in SQL Scripting, Statistics, Product and Data Analytics, and Data Science. The ideal candidate will play a crucial role in designing and implementing data-driven solutions that align with our company’s strategic goals. This position offers an opportunity to make a significant impact on our data architecture and analytics capabilities.

Responsibilities

1. Lead the design and implementation of scalable data architectures that support business objectives.
2. Oversee the development and maintenance of SQL scripts to ensure data integrity and performance.
3. Provide expertise in statistical analysis to derive actionable insights from complex datasets.
4. Collaborate with cross-functional teams to develop and deploy product analytics solutions.
5. Utilize data science techniques to build predictive models that drive business decisions.
6. Ensure data quality and consistency across various data sources and platforms.
7. Develop and enforce data governance policies to maintain data security and compliance.
8. Mentor and guide junior team members in best practices for data analytics and architecture.
9. Conduct regular reviews of data systems to identify areas for improvement and optimization.
10. Work closely with stakeholders to understand their data needs and translate them into technical requirements.
11. Implement data visualization tools to present insights in an easily understandable format.
12. Stay updated with the latest trends and technologies in data science and analytics.
13. Drive continuous improvement in data processes and methodologies to enhance efficiency and effectiveness.

Qualifications

1. Possess a strong background in SQL Scripting with extensive hands-on experience.
2. Demonstrate expertise in statistical analysis and its application in real-world scenarios.
3. Have a proven track record in product and data analytics, with the ability to translate data into actionable insights.
4. Show proficiency in data science techniques, including predictive modeling and machine learning.
5. Exhibit excellent problem-solving skills and the ability to think critically about data challenges.
6. Display strong communication skills to effectively collaborate with cross-functional teams.
7. Hold a relevant degree in Computer Science, Statistics, Data Science, or a related field.