Key Responsibilities
As a Data Analytics Developer, you will:

• Design, develop, and maintain data models, dashboards, reports, automation systems, and performance metrics to enable informed decision-making across the business.

• Stay proactive in evaluating data trends to help guide business partners on emerging opportunities.

• Ensure accurate and consistent data reporting by writing efficient analytics code and implementing data controls in line with policies, procedures, and standards.

• Manage time-sensitive tasks, ensuring deadlines are consistently met through a proactive approach.

Power BI Report Development:

• Design and create dashboards and reporting systems that deliver a consistent, intuitive analytics experience for business users.

• Collaborate with business stakeholders to understand requirements and translate them into a robust BI model that turns raw data into valuable insights.

• Convert business needs into technical specifications and implement them through actionable reports to inform decision-making.

• Execute DAX queries and functions to enhance Power BI reports.

Data Extraction & Ad-Hoc Reporting:

• Partner with business teams to collect requirements, identify data sources, and transform data using SQL and/or SAS for use in Power BI dashboards or other systems.

• Lead ad-hoc data analysis efforts, providing insights on trends, client behavior, system performance, or any other non-recurring reporting needs.

• Develop customized visualizations and user-defined calculations when necessary.

• Design, implement, and optimize business intelligence solutions through SQL queries, filters, and graphs to uncover insights and suggest performance improvements.

Qualifications & Experience

• A Bachelor's degree in a related field, with additional coursework or training in computer science, management information systems, or mathematics/statistics.

• A strong understanding of the retail banking industry.

• Over 5 years of experience in banking and finance.

• At least 5 years of hands-on experience working with SQL, SAS, R, Python, or similar querying languages.

• 3-5 years of experience creating analytics reports and dashboards, with a preference for experience using Power BI.

• 3-5 years of experience working with and generating data extracts.

• 3+ years of experience in data visualization.

• Familiarity with integrating multiple components of the Microsoft BI Stack, with a focus on Power BI, Power Apps, Power Automate, and Azure services.

• Experience with both on-premise SQL servers and cloud-based platforms such as Azure Databricks.

• Proven ability to use analytics to drive company growth, boost revenue, and achieve other key business outcomes.

• Knowledge of industry-leading analytics practices.

• Strong communication skills, both written and verbal, and the ability to interact effectively with both technical and non-technical stakeholders.

• Experience with agile project management methodologies is a plus.

• A client-centered approach to working with business stakeholders.

• Proven ability to engage with C-level executives and present data, reports, and insights effectively.

• Solid knowledge of banking systems and tools (e.g., MeridianLink/LoansPQ, Encompass, Velocify, Fiserv Signature, Marquis Executrax MCIF) is preferred.

  **We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**

 

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