What are the responsibilities and job description for the Senior Analytics Engineer position at Thinking Minds, Inc.?
Job Summary
Location : Plano TX
Experience : Minimum 5 years in data engineering / analytics
Job Type : Permanent
Ideal Candidate Should Have
A bachelor's degree in computer science, business information systems, or related field.
Proficiency in SQL (MySQL, MariaDB, or PostgreSQL), Python, and data modeling / data warehousing.
Hands-on experience with visualization tools like Tableau, Power BI, Looker, Superset, matplotlib, or Plotly.
Understanding of predictive analytics, statistical modeling, and data mining techniques.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Bonus : Salesforce and / or marketing analytics experience.
Strong problem-solving skills, attention to detail, and interpersonal communication.
Job Description
Thinking Minds Inc. is seeking a Senior Analytics Engineer on behalf of a client in the financial services industry. The selected candidate will join a dynamic Corporate Reporting and Analytics team to support data-driven decision-making. This role involves building scalable data pipeline architectures, creating high-quality analytics tools, and preparing data for visualization and reporting.
Responsibilities :
Design, develop, and maintain scalable data pipeline architectures to support ongoing business needs.
Solve complex business challenges with high-quality, maintainable code.
Prepare data for visualization and reporting, ensuring ease of use for stakeholders.
Gather and integrate data from various sources to support reporting needs.
Translate technical data concepts for non-technical audiences, simplifying complex topics.
Develop and maintain automated systems, dashboards, and tools for stakeholders to make informed decisions.
Minimize technical debt and ensure data accuracy and reliability.
Advocate for data-driven practices and coach teams to adopt best practices.
Provide thorough documentation for systems and processes.
Required Skills and Qualifications :
Expertise in SQL (MySQL, MariaDB, PostgreSQL) and Python for data engineering tasks.
Experience with visualization libraries / tools (e.g., Tableau, Power BI, Plotly, Superset).
Basic knowledge of predictive analytics, statistical modeling, and related algorithms.
Familiarity with cloud technologies (AWS, GCP, or Azure).
Proven ability to collaborate with diverse teams and communicate effectively.
Strong attention to detail, critical thinking, and a desire to learn new technologies.
Preferred Skills :
Salesforce or marketing analytics experience is a plus.
Knowledge of modern data architectures and ETL processes.
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