HR Data Analyst

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member’s financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch.

We put people first and treat them like humans, not account numbers.

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S., with over $40B in enrollments for our industry‑leading, tech‑enabled debt resolution services business, and over $11Bn in personal and home loans originations via our banking‑as‑a‑service partner.

We are seeking a highly motivated and data‑savvy BI Analyst to support our Human Resources organization, specifically focusing on Talent Acquisition, Total Rewards, Talent Management, and Learning & Development. If you are passionate about data, HR processes, and driving complex people‑related insights and automation, we want to hear from you.

As a Data Analyst, Human Resources, you will leverage advanced analytics, automation, and HR modeling to support the various functions within the HR department. You will design and optimize processes to streamline reporting for talent acquisition, compensation, employee development, and ensure data accuracy across all HR systems. Collaborating with cross‑functional teams, you will deliver actionable insights through tools like SQL, Google Sheets, and Tableau to drive strategic HR decisions.

Your role will include ongoing support, troubleshooting data, and maintaining developed processes.

• Perform large‑scale data analysis to support HR business goals, including extraction, transformation, and translating results into actionable insights.
• Design and maintain Tableau dashboards, curated datasets, and semantic layers for key HR metrics (e.g., attrition, headcount, hiring, mobility, performance, engagement).
• Assess HR data sources (HRIS, ATS, performance tools) to improve data quality, consistency, and governance.
• Partner with HR leadership to define standard metrics, definitions, and reporting frameworks for clarity and trust in HR data.

• Build predictive models to identify attrition risk, hiring bottlenecks, and workforce trends.
• Deliver insights beyond descriptive analytics, focusing on “what’s likely to happen and why.”
• Collaborate with HR leaders to translate predictive insights into early‑warning signals and proactive interventions.

• Analyze hiring funnel data to optimize metrics such as time‑to‑fill, quality of hire, and candidate conversion.
• Identify patterns in career progression, skill gaps, promotions, and internal mobility in partnership with Talent and HRBPs.
• Support workforce planning and future talent needs through scenario modeling and trend analysis.

• Create executive‑ready insights and storytelling for senior leaders, translating complex data into clear recommendations.
• Educate HR partners on using data for decision‑making and measuring impact.
• Ensure reporting accuracy through validation, documentation of HR metrics and logic, and enablement of self‑service tools.

• Work with HR, Finance, Technology, and Data Engineering teams to define reporting requirements and document HR workflows, including pain points and resolution plans.
• Partner with Technology and Data Engineers to extract, model, and prepare data from HRIS and other systems to ensure reliable foundations for HR analytics.

• Bachelor’s degree in Computer Science, Business, Information Systems, or a related field (or equivalent experience). Master’s degree is a plus.
• 3+ years of experience in BI development or HR analytics with strong proficiency in Power BI and/or Tableau, with a focus on supporting Human Resources…