Overview
On Site
Full Time
Skills
Data Analysis
Financial Services
SQL
Python
Reasoning
Strategist
Data Visualization
Mentorship
Business Acumen
Decision-making
Continuous Improvement
ROOT
Visualization
Reporting
Presentations
Communication
Analytical Skill
Collaboration
Documentation
Onboarding
Workflow
Data Integrity
Data Structure
Database
Analytics
Data Governance
Job Details
DATA STRATEGIST II
The Data Strategist II is a mid-level professional role responsible for independently performing complex data analyses and delivering strategic insights within our financial services organization. Building on strong experience with SQL and Python, the Data Strategist II conducts in-depth exploratory analysis and employs statistical reasoning to investigate business trends, test hypotheses, and identify underlying drivers of performance. They collaborate with cross-functional business teams to frame analytical problems and translate data findings into actionable recommendations that influence business decisions. The Data Strategist II also plays a key role in communicating results to both technical and non-technical stakeholders through effective storytelling and data visualization and may mentor junior analysts. This role requires advanced analytical expertise, business acumen, and strong communication skills to drive data-informed decision-making and continuous improvement.
Position Responsibilities:
Data Exploration & Insight Generation
Visualization & Reporting
Business Collaboration & Support
Data Strategy
The Data Strategist II is a mid-level professional role responsible for independently performing complex data analyses and delivering strategic insights within our financial services organization. Building on strong experience with SQL and Python, the Data Strategist II conducts in-depth exploratory analysis and employs statistical reasoning to investigate business trends, test hypotheses, and identify underlying drivers of performance. They collaborate with cross-functional business teams to frame analytical problems and translate data findings into actionable recommendations that influence business decisions. The Data Strategist II also plays a key role in communicating results to both technical and non-technical stakeholders through effective storytelling and data visualization and may mentor junior analysts. This role requires advanced analytical expertise, business acumen, and strong communication skills to drive data-informed decision-making and continuous improvement.
Position Responsibilities:
Data Exploration & Insight Generation
- Independently conducts deeper analysis and root cause investigation using analytical tools to identify trends, anomalies, and key drivers of business trends.
- Design analytical approaches or experiments to test hypotheses, applying appropriate statistical methods when relevant.
- Document findings and ensure data accuracy and integrity throughout the analysis process.
Visualization & Reporting
- Create advanced visualizations and slide presentations to communicate analytical findings to technical and non-technical stakeholders.
- Craft clear narratives in presentations or reports that connect analytical insights
to business context, highlighting key findings and recommendations. - Tailor communication of insights to the audience ensuring that stakeholders fully understand the implications of data.
Business Collaboration & Support
- Partner with stakeholders to gather requirements and define analytical solutions that address strategic business needs.
- Translate business problems into structured analytical plans, setting appropriate scope and ensuring alignment with stakeholder expectations.
- Collaborate with peers to perform peer reviews to validate analysis methods and ensure code is saved to the shared data repository.
- Follow team documentation and coding standards.
- Assist in onboarding new team members to team standards and workflows.
Data Strategy
- Provides actionable recommendations to improve data integrity, consistency, and completeness across systems.
- Evaluates and suggests changes to data structures based on analysis findings.
- Influences the design of database schemas and architecture to better support analytics and business objectives.
- Collaborates closely with data stewards, data architects, and data governance teams to align recommendations with enterprise standards.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.