Director Analytics

Select Portfolio Servicing, Inc.; Salt Lake City (UT); On-site; USD 120,000 - 190,000; Full time

Job summary

Select Portfolio Servicing, Inc. is seeking a pragmatic, execution-focused Director of Analytics to lead AI-driven analytics and automation initiatives.

The role emphasizes hands-on coding, data storytelling, and partnering with executives to drive ROI and operational efficiency. The ideal candidate will mentor analysts, implement automated reporting pipelines, and leverage Claude AI and LLMs to accelerate insights across the business.

Qualifications

• Bachelor's degree in analytics, finance, operations, computer science or related quantitative field; 7+ years hands-on analytics
• Hands-on proficiency using Claude AI and modern LLM platforms to assist in query generation, code debugging, and workflow acceleration
• Experience automating manual business processes and reporting routines using Python, SQL, and scripting tools
• Deep technical proficiency in relational databases and SQL (joins, stored procedures, views, CTEs, tuning)
• 4+ years designing and deploying dashboards and reports (Power BI, SSRS, Tableau)
• Strong Python programming for data manipulation, automation, and pipelines
• Proven leadership while contributing technically in a hands-on role

Responsibilities

• Write complex SQL, develop Python scripts, and model data; ability to teach others on technical work
• Actively integrate Claude AI and LLM tools into daily workflows to accelerate coding and reporting
• Take ownership of high-priority analytical deliverables and critical data pipelines
• Identify, design, and implement automated workflows to eliminate manual data gathering
• Build end-to-end automated reporting pipelines with minimal manual touchpoints
• Partner with operational leaders to define problems and deliver actionable insights
• Mentor analysts; set technical standards and perform code reviews
• Train team on AI tools to boost productivity and automate daily routines
• Shift the team from reactive order-takers to proactive business partners

Skills

Applied AI & Automation

Business-Grounded Problem Solving

Hands-On Technical Execution

Active Leadership

Prioritization & Speed

Education

Bachelor's degree in Analytics, Finance, Operations, Computer Science, or related field

Master's degree preferred

Tools

Claude AI

LLM platforms

Python

SQL

Power BI

SSRS

Tableau

Job description

Accountable for leading the Analytics function through direct, hands-on execution, pragmatic business partnership, and modern AI-driven automation. This role is designed for a grounded, operational leader who acts as a problem-solver and builder rather than a traditional manager or theoretical data scientist. The Director of Analytics will drive analytics strategy, write complex code, streamline legacy reporting, and ensure data directly informs business operations.

Crucially, this leader will treat process automation and modern AI execution (utilizing tools like Claude AI, LLM workflows, and automated pipeline scripts) as a daily force multiplier, eliminating manual operational tax, automating reporting routines, and dramatically accelerating time-to-insight for the business.

PRINCIPAL DUTIES AND RESPONSIBILITIES

Hands-On Analytics & AI Execution

• Write (complex) SQL, develop Python scripts, and model data and able to teach others on technical work.
• Actively integrate Claude AI and modern LLM tools into daily analytical workflows to accelerate code development, query optimization, dataset analysis, and report generation.
• Take direct execution ownership of high-priority analytical deliverables, critical data pipelines, and ad-hoc executive requests.

Process & Reporting Automation

• Identify, design, and implement automated workflows to eliminate manual data gathering, repetitive business processes, and spreadsheet-heavy operations.
• Build robust, end-to-end automated reporting pipelines that reduce manual touchpoints and ensure timely, defect-free deliverable schedules.
• Leverage modern automation capabilities (Python automation scripts, AI-assisted workflows, and platform schedulers) to shift the team away from manual maintenance toward high-value analysis.

Business Partnership & Strategy

• Partner directly with operational leaders and executive stakeholders to define core business problems and deliver practical, decision-ready answers.
• Translate complex data into clear operational language that non-technical leaders can immediately act upon.
• Focus the analytics function on business ROI, operational efficiency, and commercial impact rather than abstract modeling or theoretical data science.
• Communicate status, data realities, and trade-offs to senior leadership with complete transparency.
• Lead and mentor a team of analysts by setting technical standards, conducting code reviews, and working side-by-side with them on major initiatives.
• Train and enable team members on leveraging modern AI tools (such as Claude AI) to amplify individual productivity, debug code faster, and automate their daily routines.
• Shift the team's posture from reactive order-takers into proactive business partners.

Reporting Governance & Modernization

• Audit existing reporting environments, retire outdated legacy reports, and replace manual processes with automated self-service dashboards.
• Establish standardized enterprise KPI frameworks, single-source-of-truth definitions, and reconciliation controls to eliminate metric discrepancies across reports.
• Document data logic, automation pipelines, and operational workflows to build institutional knowledge.

QUALIFICATIONS

Minimum Qualifications (Required)

• Education & Experience: Bachelor's degree in Analytics, Finance, Operations, Computer Science, or related quantitative field (or equivalent experience) and 7+ years of experience in hands-on data analytics, business intelligence, or process engineering.
• Applied AI & Productivity Tools: Hands-on proficiency using Claude AI and modern LLM platforms to assist in query generation, code debugging (SQL/Python), document/data interpretation, and workflow acceleration.
• Process Automation: Demonstrated experience automating manual business processes and reporting routines using Python, SQL, workflow platforms, or scripting tools.
• Technical Mastery: Deep technical proficiency in relational databases and SQL (complex joins, stored procedures, views, CTEs, and query performance tuning).
• BI & Data Viz: 4+ years of hands‑on experience designing, building, and deploying operational dashboards and reports (e.g., Power BI, SSRS, Tableau).
• Programming Skills: Strong working proficiency in Python for data manipulation, process automation, and pipeline construction.
• Active Leadership: Proven experience leading technical team members while remaining actively engaged in technical deliverables.

Preferred Qualifications

• Master's degree in a quantitative or business discipline.
• Experience integrating LLM APIs, custom prompts, or automation tools directly into business intelligence or operational workflows.
• Track record of consolidating redundant legacy reporting suites into automated, streamlined self-service tools.

CORE COMPETENCIES

• Applied AI & Automation: Leverages tools like Claude AI, LLMs, and scripting as a daily force multiplier to automate processes and accelerate output.
• Business-Grounded Problem Solving: Connects technical output directly to commercial outcomes.
• Hands-On Technical Execution: Maintains active technical skills in SQL, Python, automation scripts, and visualization tools.
• Active Leadership: Teaches, mentors, and upskills team members through direct collaboration and hands‑on guidance.
• Prioritization & Speed: Eliminates manual bottlenecks and pushes back on low-impact work.

IDEAL CANDIDATE PROFILE

The ideal candidate is a pragmatic, execution-focused leader who treats AI tools (like Claude AI) and process automation not as buzzwords, but as essential daily levers to get work done faster and smarter. They prefer writing queries, automating workflows, and solving operational puzzles over sitting in administrative management meetings.

Naturally curious and uncomfortable with manual status-quo processes, they do not wait for tickets or requirements to be handed to them. They actively seek out manual business pain points, automate redundant reporting tax, and build cleaner, faster, and more reliable analytics systems.