Senior Business Analyst (Consumer and Merchant Analytics)

Koalafi•Arlington, VA

20d•$100,000 - $129,000•Remote

About The Position

Koalafi is seeking a Senior Business Analyst to join their Consumer and Merchant Analytics team. This role will primarily support the Sales organization by owning key recurring deliverables, building better reporting, forecasting, and enhancing the understanding of how to enable the sales team to operate more efficiently. The position is a blend of execution and building, aiming to make recurring work faster and more precise. Additionally, the analyst will support other partners, often Product, with work related to long-term company plans, including feature rollouts and the testing/measurement plans for new launches.

Requirements

Bachelor's degree in a quantitative or analytical field (e.g., Engineering, Mathematics, Economics, Statistics, etc.).
2–4 years of experience in business analysis, data analytics, or a related role.
Experience in Sales Analytics preferred
Strong SQL skills; able to manipulate and interpret large datasets.
Experience building BI dashboards (Tableau, Looker, or equivalent).
Familiarity with A/B testing, statistical analysis, and experiment design.
Ability to synthesize complex data into clear, actionable insights.
Detail-oriented, proactive, and able to thrive in a fast-paced, dynamic environment.
Excellent communication skills, with the ability to work across technical and business stakeholders.

Responsibilities

Execute recurring weekly and monthly sales reports, dashboards, and analyses, delivering accurate, timely results.
Improve and automate those recurring deliverables so the team spends less time producing reports and more time interpreting them.
Build and refine sales forecasting, including pipeline, capacity, and target-setting analysis in partnership with sales leadership.
Identify where the sales organization can operate more efficiently — rep productivity, merchant prioritization, onboarding and activation, and funnel conversion — and turn those findings into recommendations that stick.
Partner with Sales and Data teams to improve the quality and structure of the underlying sales data.
Partner with product teams on new feature rollouts: define success metrics, design test and measurement plans, and deliver clear read-outs.
Support long-term company planning with analysis that informs roadmap priorities and launch sequencing.
Develop and maintain the data queries and BI assets that enable self-serve analytics.
Present findings to leadership in clear, compelling formats that influence strategy and execution.