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

As a Sr. Data Product Business Analyst, your main responsibilities include defining business requirements, collaborating with various stakeholders to translate their needs into detailed data product specifications, and maintaining business intelligence reports for informed decision-making. You will also tackle complex data model challenges with Data Engineering teams, ensuring that data quality aligns with business objectives.

To be considered for the Sr. Data Product Business Analyst role, candidates should possess a bachelor’s degree in a related field such as computer science, finance, or mathematics, along with 4-6 years of relevant experience. Proficiency in SQL, experience with BI tools like Power BI or Tableau, and familiarity with agile Scrum practices are also essential.

The expected salary for the Sr. Data Product Business Analyst role at our client ranges from $94,500 to $133,400, depending on your experience and geographical location. This competitive offering reflects the importance of the role within their data-driven culture.

Absolutely! This position is fully remote, allowing you the flexibility to work from anywhere within the United States. This arrangement accommodates a better work-life balance and is designed to align with personal commitments.

In addition to a competitive salary, the Sr. Data Product Business Analyst role offers comprehensive insurance coverage (medical, dental, vision, life, and disability), flexible paid time off, a 401(k) plan with company match, and opportunities for equity-based awards. The company prioritizes employee well-being and professional growth.

In my previous roles, I've collaborated closely with stakeholders to understand their needs. I utilize effective communication and active listening skills to gather detailed requirements, ensuring they are accurately translated into technical specifications.

I maintain open lines of communication with engineering teams, conducting regular audits of the data. I also set performance metrics to track accuracy and adopt validation processes to identify anomalies in the dataset.

Certainly! In a past project, I identified a significant gap in user data leading to incorrect business insights. By implementing a new analytics framework that integrated various data sources, we vastly improved our reporting accuracy and decision-making efficiency.

I am proficient in Power BI and Tableau, and I have used these tools to create visually engaging dashboards that provide stakeholders with at-a-glance insights into KPIs and other relevant metrics, driving data-driven decisions.

I thrive in a Scrum environment by participating in daily stand-ups, sprint planning, and retrospectives. My focus is on facilitating communication between team members and ensuring that business requirements are clearly defined in user stories.

When faced with conflicting priorities, I prioritize by assessing the impact and urgency of each request. I engage stakeholders in discussions to clarify their needs and find a balanced approach that aligns with overall business goals.

I use visualization tools to create clear, intuitive graphical representations of data and make use of analogies and simplified language to explain complex concepts, ensuring everyone understands the insights being presented.

One of the challenges is bridging the gap between technical and non-technical teams. I address this by investing time in understanding both sides, which allows me to communicate effectively and build strong relationships.

In fast-paced environments, I prioritize tasks based on deadlines and stakeholder urgency. I utilize project management tools to keep track of ongoing tasks and adjust priorities as needed to meet project goals.

I am motivated by the satisfaction of solving complex problems and seeing the positive impact my work has on business decisions. The opportunity to work with cross-functional teams and foster a data-driven culture excites me.