Staff Data Analyst

Job DescriptionWhat You'll do:• Be part of a high-impact team that identifies and executes on growth initiatives through product innovation.• Deliver data, reporting and actionable insights that inform product development, sales, and underwriting decisions.• Leverage deep hands-on technical skills to produce analyses in various topics including, but not limited to, customer turn times, sales team effort and efficiency, consumer fallout analysis, system automation/enhancement reporting, loan funding and underwriting metrics.• Deliver data models and standardized reporting datasets, working closely with stakeholders and data engineering to implement solutions.• Build reports with key takeaways that will get delivered in a reliable, consistent and timely manner.• Develop consistent KPIs, reporting and documentation, including technical definitionsQualificationsWhat you'll bring:• High intellectual curiosity, advanced analytical skills and the ability to effectively communicate complex concepts to diverse groups (executives, product managers, operations and technical teams)• Highly motivated self-starter with the ability to work efficiently with minimal supervision and direction• You have 5+ years of experience in a product, growth or marketing analytics function• You have 5+ years of hands-on experience and technical proficiency in SQL, Tableau(Tableau Certified a plus), Excel, Google sheets and GBQ• You have a strong understanding on how data should be captured within products and services and are able to guide the Engineering teams• You have developed dashboards and ad-hoc analysis that provide visibility into consumer behavior within acquisition and product flows• Understanding of decision trees, segmentation, regression and other intelligent decision models used to analyze customer response behaviors, interaction patterns and propensityAdditional InformationAchieve well-being with:• Hybrid and work from home opportunities• 401 (k) with employer match• Medical, dental and vision with HSA and FSA• Competitive and flexible PTO, including dedicated volunteer days• Complete wellness support with access to Virgin Pulse, Talkspace, and fitness discounts• Up to $5,250 paid back to you on eligible education expenses• Pet care discounts for your furry family members• Financial support in times of hardship with our Achieve Care Fund• A safe place to connect with other employees through our six employee resource groupsSalary Range: $120,000 to $140,000 annually + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve's Talent Acquisition leader.Company DescriptionThe Staff Data Analyst will play a critical role in developing key metrics, uncovering vital insights and delivering critical analysis that will lead to data-informed decisions and guide business strategy. You will work closely with senior leadership, department heads and teammates to use data to drive the success of the organization. Your expertise will influence decisions made at the highest levels of the company.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 an empathetic touch. We put people first and treat them like humans, not account numbers.