Insights & Reporting Analyst

About the role

We are seeking a highly skilled analytics professional to help move the organization beyond SQL-based reporting and static dashboards into a more mature, scalable analytics model. This role will deliver business intelligence, automation, advanced analytics, and data products that improve operational performance, strengthen risk visibility, and support faster, evidence-based decision-making.

Responsibilities

• Gather, integrate, and transform data from multiple sources
• Design reusable data assets
• Identify trends, exceptions, and root causes
• Build intuitive reporting and analytics solutions using modern tools and platforms
• Partner closely with business, technology, risk, and leadership stakeholders to define success measures, evaluate outcomes, monitor performance, and ensure analytics work leads to practical business action—not just reporting activity
• Help raise the team’s overall analytic maturity by applying software development practices, source control, agile delivery, automation, Python-based analysis, Databricks-enabled workflows, and responsible use of AI tools to improve speed, quality, transparency, and business value

Requirements

• Strong experience with ETL processes, data integration, data transformation, reusable data modeling, and production-ready data pipelines
• Advanced experience with Power BI and SQL querying/coding, including data modeling, performance optimization, dashboard design, and reporting modernization
• Hands-on experience with modern cloud data platforms, including Snowflake and Databricks, with the ability to design scalable analytics workflows
• Experience with Python for data analysis, automation, reusable scripting, exception detection, model support, and analytics solution development
• Experience using GitLab for version control and collaborative development
• Experience using Jira for agile project management, requirements tracking, and delivery execution
• Experience with AI prompting, AI agents, and AI-enabled tools to improve analysis, automate repetitive work, summarize complex information, and accelerate business outcomes responsibly
• Credit Risk experience with strong understanding of risk management principles, portfolio performance, and risk analytics
• Strong analytic maturity with the ability to frame business problems, challenge assumptions, evaluate data quality, identify meaningful patterns, and translate findings into recommended action
• Ability to data mine, analyze data, tell the story behind the numbers, and present insights clearly to technical, operational, risk, and executive audiences
• Experience applying development discipline to analytics work, including documentation, peer review, version control, testing, backlog management, and sustainable handoff practices
• Comfort working in ambiguous environments where the request may start as a report but the real need is diagnosis, automation, controls, operational insight, or a better decision process
• Ability to develop and maintain strategic partnerships with senior business unit management, business partners, project sponsors, and technology teams
• Strong decision-making and problem-solving skills with the ability to connect technical work to business impact, risk reduction, capacity improvement, and measurable outcomes
• Effective interpersonal, verbal, and written communication skills
• Curiosity, ownership, and a continuous-improvement mindset, with the ability to help raise the team’s analytics craft—not simply complete assigned reports

Qualifications

• Bachelor's degree, or equivalent work experience
• Four to five years of experience in data analysis, business intelligence, reporting modernization, analytics engineering, automation, or a related field

Preferred Skills/Experience

• Strong experience with ETL processes, data integration, data transformation, reusable data modeling, and production-ready data pipelines
• Advanced experience with Power BI and SQL querying/coding, including data modeling, performance optimization, dashboard design, and reporting modernization
• Hands-on experience with modern cloud data platforms, including Snowflake and Databricks, with the ability to design scalable analytics workflows
• Experience with Python for data analysis, automation, reusable scripting, exception detection, model support, and analytics solution development
• Experience using GitLab for version control and collaborative development
• Experience using Jira for agile project management, requirements tracking, and delivery execution
• Experience with AI prompting, AI agents, and AI-enabled tools to improve analysis, automate repetitive work, summarize complex information, and accelerate business outcomes responsibly
• Credit Risk experience with strong understanding of risk management principles, portfolio performance, and risk analytics
• Strong analytic maturity with the ability to frame business problems, challenge assumptions, evaluate data quality, identify meaningful patterns, and translate findings into recommended action
• Ability to data mine, analyze data, tell the story behind the numbers, and present insights clearly to technical, operational, risk, and executive audiences
• Experience applying development discipline to analytics work, including documentation, peer review, version control, testing, backlog management, and sustainable handoff practices
• Comfort working in ambiguous environments where the request may start as a report but the real need is diagnosis, automation, controls, operational insight, or a better decision process
• Ability to develop and maintain strategic partnerships with senior business unit management, business partners, project sponsors, and technology teams
• Strong decision-making and problem-solving skills with the ability to connect technical work to business impact, risk reduction, capacity improvement, and measurable outcomes
• Effective interpersonal, verbal, and written communication skills
• Curiosity, ownership, and a continuous-improvement mindset, with the ability to help raise the team’s analytics craft—not simply complete assigned reports

Skills

• Strong experience with ETL processes, data integration, data transformation, reusable data modeling, and production-ready data pipelines
• Advanced experience with Power BI and SQL querying/coding, including data modeling, performance optimization, dashboard design, and reporting modernization
• Hands-on experience with modern cloud data platforms, including Snowflake and Databricks, with the ability to design scalable analytics workflows
• Experience with Python for data analysis, automation, reusable scripting, exception detection, model support, and analytics solution development
• Experience using GitLab for version control and collaborative development
• Experience using Jira for agile project management, requirements tracking, and delivery execution
• Experience with AI prompting, AI agents, and AI-enabled tools to improve analysis, automate repetitive work, summarize complex information, and accelerate business outcomes responsibly
• Credit Risk experience with strong understanding of risk management principles, portfolio performance, and risk analytics
• Strong analytic maturity with the ability to frame business problems, challenge assumptions, evaluate data quality, identify meaningful patterns, and translate findings into recommended action
• Ability to data mine, analyze data, tell the story behind the numbers, and present insights clearly to technical, operational, risk, and executive audiences
• Experience applying development discipline to analytics work, including documentation, peer review, version control, testing, backlog management, and sustainable handoff practices
• Comfort working in ambiguous environments where the request may start as a report but the real need is diagnosis, automation, controls, operational insight, or a better decision process
• Ability to develop and maintain strategic partnerships with senior business unit management, business partners, project sponsors, and technology teams
• Strong decision-making and problem-solving skills with the ability to connect technical work to business impact, risk reduction, capacity improvement, and measurable outcomes
• Effective interpersonal, verbal, and written communication skills
• Curiosity, ownership, and a continuous-improvement mindset, with the ability to help raise the team’s analytics craft—not simply complete assigned reports

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law