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Data Analyst - Job Opportunity at SECU

Linthicum, US
Full-time
Mid-level
Posted: March 19, 2025
Remote
USD 67,000-107,000 per year

Benefits

Comprehensive medical insurance with emphasis on total well-being
Vision coverage for preventive and corrective care
Dental plan coverage
401(k) retirement plan with employer matching
Generous PTO package including vacation, sick, and personal leave
Annual corporate-wide performance incentives

Key Responsibilities

Lead data-driven decision making through advanced analytics and visualization
Develop and maintain predictive models for strategic forecasting
Create and optimize enterprise dashboards with defined KPIs
Conduct complex statistical analyses and data transformation
Drive data literacy and education initiatives across teams
Perform quality control and validation of analytical deliverables
Collaborate with stakeholders to identify and leverage key data sources

Requirements

Education

Bachelor's or master's degree in Statistics, Data Analytics, Programming, Information Systems, Data Science or Computer Science

Experience

2-7+ years of relevant experience

Required Skills

Advanced SQL and Microsoft SQL Server Power BI or Tableau Microsoft Office Suite Statistical analysis Predictive modeling Data visualization Database management Communication skills
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Sauge AI Market Intelligence

Industry Trends

Financial institutions are increasingly investing in data analytics capabilities to drive personalized banking solutions and risk management. The shift toward remote work in financial analytics reflects a broader industry trend of digital transformation and distributed teams. Growing emphasis on predictive analytics and machine learning capabilities in financial services indicates evolution beyond traditional reporting.

Salary Evaluation

The offered salary range of $67,000-$107,000 is competitive for a mid-level data analyst role in the financial services sector, particularly considering the remote work option. The midpoint of $87,000 aligns with market rates for similar positions.

Role Significance

Likely part of a specialized analytics team of 5-10 members, working cross-functionally with various business units.
Mid-level position with significant analytical responsibility and potential for strategic impact through predictive modeling and business intelligence delivery.

Key Projects

Development of predictive models for financial forecasting and risk assessment Creation and maintenance of enterprise-wide dashboards for performance monitoring Statistical analysis projects for business strategy and decision support Data literacy and enablement initiatives

Success Factors

Strong combination of technical expertise and business acumen Ability to translate complex analyses into actionable insights Excellence in stakeholder management and communication Proactive problem-solving approach with attention to detail

Market Demand

High demand with steady growth projected. Financial institutions are actively expanding their data teams to support digital transformation initiatives and enhance customer intelligence capabilities.

Important Skills

Critical Skills

SQL expertise is fundamental for data manipulation and analysis in financial systems Statistical analysis skills essential for predictive modeling and forecasting Business communication abilities crucial for stakeholder management

Beneficial Skills

Python/R programming for advanced analytics Knowledge of financial services industry regulations and metrics Experience with cloud infrastructure and data management tools

Unique Aspects

Remote-first approach while maintaining financial sector standards
Strong emphasis on data literacy and team education
Balance of technical expertise with business impact focus

Career Growth

Typical progression to senior role within 2-3 years, with potential for management track in 4-5 years based on performance and organizational growth.

Potential Next Roles

Senior Data Analyst Analytics Team Lead Data Science Specialist Business Intelligence Manager

Company Overview

SECU

SECU is a established financial institution focusing on member services and digital transformation.

Regional financial services provider with strong emphasis on technological advancement and data-driven operations.
Significant presence in the Eastern United States with focus on EST timezone operations.
Progressive work environment embracing remote work while maintaining traditional financial sector stability and structure.
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