Data Analyst/Scientist Job at DataFielder Inc in San Antonio

DataFielder is a woman-minority owned staffing and consulting services agency. Our mission is to provide organizations with exceptional talent while empowering diverse and underrepresented groups through data-driven insights.

We are seeking a talented Data Analyst/Scientist to join a dynamic team supporting a global financial services and banking organization. This long-term contract role offers an opportunity to work on high-impact projects that drive data-driven decisions. The ideal candidate will have expertise in data visualization, data mining, and analysis, with a strong technical background. Experience in sustainability-focused analytics or a passion for sustainability is a plus.

Key Responsibilities:

1. Data Visualization:
• Develop advanced, dynamic dashboards and reports using tools like Tableau and Qlik Sense.
• Leverage data visualization to craft compelling stories and insights for stakeholders.
• Optimize visualizations for performance and ensure seamless usability.
2. Data Mining & Analysis:
• Perform deep dives into large and complex datasets using advanced data mining techniques.
• Identify actionable insights, trends, and patterns to inform strategic business decisions.
• Ensure data accuracy, consistency, and integrity across analyses.
3. Systems & Technical Expertise:
• Write efficient and scalable backend scripts using Python.
• Work with relational databases to query, analyze, and manipulate data.
• Utilize Alteryx for exploratory data analysis and workflow automation.
• Support UI development for data visualization tools to ensure an intuitive user experience.
4. Sustainability Analytics (Preferred):
• Contribute to projects focused on sustainability metrics and reporting.
• Analyze data related to ESG (Environmental, Social, Governance) initiatives to support the client's sustainability goals.
• Use data to identify opportunities to enhance sustainable practices and report progress.

Key Qualifications:

• Experience: 5+ years in data analysis or data science roles, preferably in financial services, banking, or related industries.
• Technical Proficiency:
• Expertise in Tableau, Qlik Sense, Python, Alteryx, and relational databases.
• Advanced knowledge of data mining and statistical analysis techniques.
• Sustainability Experience (Preferred): Familiarity with ESG data analytics, reporting frameworks, or sustainability metrics.
• Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Soft Skills: Excellent analytical skills, strong communication abilities, and a collaborative mindset for a hybrid work environment.