Sr. Data Product Business Analyst - (Remote - US)

Jobgether; United States; Remote; USD 94,000 - 134,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Product Business Analyst, where you'll enhance data-driven decision-making and collaborate with cross-functional teams. In this remote role, you'll define requirements, develop data products, and optimize analytics to drive business value. With a competitive salary and comprehensive benefits, this position offers the opportunity to work on complex data challenges while maintaining a healthy work-life balance. If you're passionate about data and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Comprehensive insurance coverage

Flexible paid time off

401(k) plan with company match

Remote work opportunity

Work-life balance flexibility

Qualifications

• 4-6 years of experience in a similar role with SQL expertise.
• Proficiency in BI tools and Agile Scrum environment.

Responsibilities

• Define business requirements and translate needs into data product specifications.
• Develop business intelligence reports to support decision-making.

Skills

SQL

Business Intelligence (BI) tools

Agile Scrum

Applied Analytics

Communication Skills

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Finance

Bachelor’s degree in Mathematics

Tools

Power BI

Tableau

Sisense

Job description

Sr. Data Product Business Analyst - (Remote - US)

Join to apply for the Sr. Data Product Business Analyst - (Remote - US) role at Jobgether.

Jobgether offers all remote jobs globally. We match you to roles where you're most likely to succeed and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are seeking a Senior Data Product Business Analyst (#1719), remotely from the United States.

Role Overview

As a Senior Data Product Business Analyst, you will play a pivotal role in enhancing data-driven decision-making within the organization. You will be responsible for developing data products by collaborating with cross-functional teams, defining requirements, and executing data strategies that provide actionable insights for stakeholders. Your advanced analytics skills will help optimize data products and ensure alignment with business objectives. You will work closely with Data Engineering teams to address complex data model challenges, ensuring high standards of data accuracy and reliability to drive business value.

Accountabilities

• Define and refine business requirements by collaborating with stakeholders, translating needs into data product specifications.
• Operate within an Agile Scrum framework to create business requirements, user stories, and acceptance criteria.
• Develop and maintain business intelligence reports and analytics documentation to support decision-making.
• Partner with Data Engineering teams to resolve data model challenges and ensure data accuracy.
• Demonstrate ownership in delivering effective solutions to complex business problems.

Requirements

• Bachelor’s degree or equivalent in computer science, finance, mathematics, or related fields.
• 4-6 years of experience in a similar role, with expertise in SQL or similar query languages.
• Proficiency in BI tools such as Power BI, Tableau, or Sisense.
• Strong experience working within an Agile Scrum environment.
• Experience in applied analytics, preferably in marketing, finance, or product management.
• Excellent communication and leadership skills, with the ability to convey complex concepts to technical and non-technical stakeholders.
• Intellectual curiosity and a collaborative team mindset.

Benefits

• Competitive salary range ($94,500 - $133,400), based on experience and location.
• Potential for equity-based awards.
• Comprehensive insurance coverage (medical, dental, vision, life, disability).
• Flexible paid time off and holidays.
• 401(k) plan with company match.
• Remote work opportunity.
• Work-life balance with flexibility for personal commitments.

Additional Information

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Research, Analysis, and IT

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