Digital Product Data Analyst: Drive Insights & Growth

CO_AFSLGO Apex Fund Services Holdings Ltd (AFSHL Group Ops); New York (NY); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

Four days in office

Job summary

Apex Group is seeking a Digital Product Data Analyst to drive product analytics and insights across digital finance platforms. You will partner with Product Owners, Finance, Technology, and stakeholders to enable data-driven decisions and optimize product performance.

Ideal candidates have 3-7 years in data analytics or BI, strong SQL, Power BI/Tableau, and a passion for translating complex data into actionable recommendations. This is a US-based role with a four days in office requirement.

Qualifications

• Bachelor's degree in data/finance related field; certifications in analytics/tools desirable.
• 3-7 years of experience in data analytics, product analytics, BI or related fields.
• Strong analytical and problem-solving skills with large datasets.
• Experience supporting digital products or platforms; data visualization proficiency.

Responsibilities

• Analyze product usage and customer behavior to identify trends and opportunities.
• Develop KPIs and dashboards to measure adoption, engagement and business value.
• Collaborate with Product Owners to define measurement frameworks and ROI.
• Produce regular management reporting and ad hoc analyses for priorities.
• Promote best practices in data viz, governance, and self-service reporting.

Skills

Data analytics

Product analytics

Stakeholder management

Communication

Agile development

Education

Bachelor's degree in Data Analytics, Finance, Economics, Business, Information Systems, Mathematics, Statistics

Tools

Power BI

Tableau

Looker

SQL

Excel

Job description

Apex Group is seeking a Digital Product Data Analyst to drive product analytics and insights across digital finance platforms. You will partner with Product Owners, Finance, Technology, and stakeholders to enable data-driven decisions and optimize product performance.

Ideal candidates have 3-7 years in data analytics or BI, strong SQL, Power BI/Tableau, and a passion for translating complex data into actionable recommendations. This is a US-based role with a four days in office requirement.