ETL Data Engineer

TechDigital Group; San Antonio (TX); On-site; USD 60,000 - 100,000; Full time

Job summary

Join an innovative firm as a Data Analyst, where you will leverage your analytical skills to drive strategic decisions in a dynamic environment. This role emphasizes collaboration with teams to interpret data insights that shape contact center strategies. You will apply advanced statistical techniques and diverse programming skills, including SQL and Python, to analyze data effectively. The ideal candidate will have a knack for storytelling through data visualization tools, making complex insights accessible and impactful. If you are passionate about data and thrive in a collaborative setting, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in data analytics and statistical techniques.
• Strong programming skills in SQL and Python are essential.

Responsibilities

• Collaborate with teams to inform contact center strategy through data-driven decisions.
• Apply advanced statistical techniques and data visualization tools.

Skills

SQL

Python

ETL/ELT

Java

qualitative analytics

data visualization

stream processing

Tools

datastage

Control M

Jupyter Notebooks

Snowflake

DBT

Tableau

Streamlit

Lumira

Job description

Job Description:

1. Collaborate, produce, consult, and advise to enable teams to make data driven decisions that inform contact center strategy.
2. Grasp the nature of the problem/need and determine an analytical approach.
3. Apply basic descriptive statistics and advanced statistical techniques.
4. Apply knowledge of diverse programming skills (SQL, Python, ETL/ELT, Java, etc.).
5. Apply knowledge of platforms (e.g. datastage, Control M, Jupyter Notebooks, Snowflake, DBT (data build tool), etc.).
6. Apply knowledge of stream processing (e.g. Kafka, Kinesis, etc.) (for emitting data out – nice to have).
7. Apply qualitative/categorical analytics.
8. Identify and apply validation techniques before delivering insights.
9. Apply knowledge of diverse data applications and data visualization tools and techniques (e.g. Tableau, Streamlit, Lumira, etc.).
10. Apply knowledge of data sets, data sharing guidelines and environments.
11. Apply knowledge of terminology, business rules, financial impacts, market results, and metrics/KPIs.
12. Apply knowledge of USAA and CoSA strategy, operation, products, and stakeholders.
13. Communicate succinctly, clear and with impact, recognizing when insights are full vetted and truly ready for delivery.
14. Tell a story, including presenting information in a visually striking manner.
15. Must have at least three years of independent experience in core knowledge and skills.