Hybrid Data & Reporting Analyst - BI & Analytics

GuideStone Financial Resources; Dallas, Northern (TX, KY); Hybrid; USD 65,000 - 85,000; Full time

Benefits offered by this job

Benefits package

Flexible work schedules

Community outreach programs

Tuition reimbursement

Job summary

GuideStone Financial Resources in Dallas, TX is seeking an Associate Data & Reporting Analyst to own operational reporting, analytics, and BI for GuideStone Advisors.

You will help convert systems to Power BI, build dashboards, and improve visibility into capacity and performance while supporting automation.

The role emphasizes data-driven decision making, accuracy, and confidentiality in wealth management operations.

Qualifications

• 0-2 years of experience in data analytics, reporting, BI, or related field.
• Bachelor's Degree or equivalent work experience; preferred in Data Analytics, MIS, or equivalent.
• Foundational knowledge of SQL and relational databases.
• Familiarity with BI tools (Power BI, Tableau).
• Proficiency in Excel; strong analytical and communication skills.
• Ability to manage multiple assignments with confidentiality.

Responsibilities

• Provide support of GSA operational reporting, analytics, and business intelligence.
• Evaluate, improve and/or convert existing GSA Operations systems to Power BI and maintain them.
• Improve visibility into capacity, service levels, efficiency, advisor satisfaction, and performance metrics.
• Develop and maintain dashboards, reports, and analytical tools for Operations decision-making.
• Support automation initiatives and data-driven decision making across Operations.

Skills

Analytical thinking

Problem-solving

Data analysis

Communication

Attention to detail

Time management

Education

Bachelor's Degree or equivalent

Data Analytics / MIS preferred

Tools

Power BI

Tableau

Job description

GuideStone Financial Resources in Dallas, TX is seeking an Associate Data & Reporting Analyst to own operational reporting, analytics, and BI for GuideStone Advisors.

You will help convert systems to Power BI, build dashboards, and improve visibility into capacity and performance while supporting automation.

The role emphasizes data-driven decision making, accuracy, and confidentiality in wealth management operations.