Data Analyst

SECU Maryland Opens Doors; Maryland; Remote; USD 73,000 - 87,000; Full time

Job summary

SECU Maryland seeks a remote Data Analyst to support their lending team with data analysis and visualization. This role involves conducting exploratory and statistical analyses, building dashboards, and providing data-driven insights across the organization. Candidates should hold a relevant degree and possess advanced data analysis skills, with compensation structured to experience levels.

Benefits

401k plan with company matching

Generous sick, vacation, and personal leave

Annual corporate-wide incentives

Qualifications

• 2-7+ years of relevant experience.
• Advanced proficiency in SQL and Microsoft SQL Server.
• Experience in building dashboards using Power BI or Tableau.

Responsibilities

• Support lending team with data analysis and visualization.
• Develop and maintain predictive modeling for strategy.
• Educate team members on data literacy.

Skills

SQL

Data Visualization

Statistical Analysis

Data Literacy

Education

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

Tools

Power BI

Tableau

Microsoft SQL Server

Microsoft Excel

Python

Job description

Current job opportunities are posted here as they become available.

SECU is seeking a Data Analyst. This is a remote position for candidates ideally living in the EST time zone. Occasional in-person meetings and commitments throughout the year may be required.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The Data Analyst will primarily support our lending team with additional support to a variety of business partners to conduct exploratory data analysis, statistical analysis, data visualization, predictive modeling and forecasting to produce actionable and automated data-driven insights across the organization. While taking on ad-hoc analytical projects, the Data Analyst will demonstrate innovative ways to use existing and new data sources to produce enhanced metrics which drive strategic business decisions.

A day in your life might include:

• Work in an agile environment to intake requests, projects, and requirements.
• Solve data questions requiring advanced transforms, custom queries, statistical analyses, or other related tasks outside the realm of possibility for a self-service tool.
• Visualize data by creating dashboards and reports to help monitor and drive business decisions. This includes identifying KPIs, building queries, creating visuals, and dashboard maintenance.
• Communicate nuanced and complex analytical topics to a variety of audiences across the organization, including translating meaning to impact on the business.
• Develop and maintain predictive modeling and forecasting to help key stakeholders build a proactive strategy.
• Educate team members on data literacy to promote proper and relevant usage of dashboards and reporting while also maintaining a general understanding of team and project priorities.
• Collaborate with internal partners to identify and understand key data sources for analytics.
• Perform extensive quality control on all queries, dashboards and other work through manual analysis, validation and check-ins with subject matter experts.
• Request and recommend additional data extracts, views, etc. as necessary, and help detail requirements.

Education Requirements

• Bachelor's or master's degree in a field related to Statistics, Data Analytics, Programming, Information Systems, Data Science or Computer Science.

Experience Requirements:

• 2-7+ years of relevant experience,
• Advanced proficiency in SQL and Microsoft SQL Server
• Experience in building dashboards using Power BI, Tableau or other data visualization tools.
• Experience utilizing databases and data warehouses for analysis.
• Advanced proficiency in Microsoft Office programs specifically Microsoft Excel, PowerPoint and Word.
• Experience with forecasting, statistical analysis, predictive analytics, clustering, and segmentation.

Nice to Have Experience:

• Financial services industry experience
• Snowflake and SnowSQL
• Experience in statistical programming, Python, R, MATLAB, etc.
• Experience with infrastructure tools (e.g., Azure, transactional systems knowledge, data repositories, data catalogues)
• Experience with data management tools (e.g., integrations – structured and non-structured data, APIs, ETL)

Compensation Information: Offers will be commensurate with experience and education. Please Note: We typically hire at or below mid-point, which is $87,000 for this role.

Other Compensation Includes:

• Annual corporate-wide incentives

We provide comprehensive benefits, with a focus on total well-being:

• 401k plan with company matching
• Generous sick, vacation and personal leave

SECU is committed to fostering a diverse, equitable, and inclusive workforce where all individuals are valued and respected. We take pride in providing equal opportunities for all qualified applicants regardless of race, ethnicity, national origin, gender, sexual orientation, gender identity or expression, religion, military or veteran status, or any other characteristics protected by law.