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Sr. Data Product Business Analyst - #1719

Data insights is a central component to MeridianLink’s decision making process, and critical to the continued success of the organization. MeridianLink is looking for a seasoned Analyst with exceptional communication skills for the position of Sr. Data Products Business Analyst to join our Data Insights team. This team is responsible for developing industry-leading data products that drive tangible business value to our MeridianLink stake holders. Your efforts will focus on applying your advanced analytics skill set and strong sense of ownership to accelerate our data product strategy and enable internal/external customers to recognize tangible ROI. You will partner with, prioritize, and set direction, for a cross functional Data Engineering team to better execute functional requirements. You will contribute to the MeridianLink data and information strategy by developing and documenting requirements and testing across the data product life cycle ensuring conformity to industry best practice and the Agile process. This is a great opportunity for a candidate with a strong sense of ownership, is passionate about data, and wants to have a direct influence on the success of an industry-leading software company.

 

Essential Duties and Responsibilities

 

• Refine ambiguous questions/asks and generate requirements that support internal data products through a deep understanding of the data, our customers, and our business.

• Operating within the scrum framework; create and communicate clear business requirements, user stories, and acceptance criteria that translate business needs into clear work items submitted into sprints.

• Build complex BI reporting and analysis in Sisense and SQL that provide stakeholders with insight to better operate and achieve cooperate strategies.

• Maintain reporting and analytics documentation through confluence for business stake holders.

• Partner with Data Engineering teams to solve for Data Model challenges and promote the highest standards of data accuracy and reliability.

• Demonstrate ownership and execution of solutions to complex problems.

 

Qualifications

• Bachelor’s degree/equivalent in computer science, finance, mathematics, or related field and 4-6 years of experience

• SQL or similar query language expertise required. • Financial industry experience highly preferred.

• Proficiency with BI tools (Power BI, Tableau, Sisense) required.

• Experience working within an agile scrum environment.

• Experience in applied analytics field (Marketing, Finance, Product, Econ, etc.) with operating knowledge of Analytics/Data Science industry best practice • Excellent communication, leadership, and problem-solving skills with the ability to communicate methods and results to a non-technical/technical audience.

• Must be intellectually curious, self-motivated, collaborative, and a team player with an infectious excitement about data.

• Statistical analysis using Python/ R or other scripting language a plus.


MeridianLink has a wonderful culture where people value the work they do and appreciate each other for their contributions. We develop our employees so they can grow professionally by preferring to promote from within. We have an open-door policy with direct access to executives; we want to hear your ideas and what you think. Our company believes that to be productive in the long term, we must have a genuine work-life balance. We understand that employees have families and full lives outside of the office. To that end, we honor their personal commitments.

MeridianLink is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, age, national origin, disability, or any other characteristic protected by applicable law. 

MeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process.

Salary range of $94,500 - $133,400. [It is not typical for offers to be made at or near the top of the range.] The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location.

Meridianlink offers:


Potential For Equity-Based Awards

Insurance coverage (medical, dental, vision, life, and disability)

Flexible paid time off

Paid holidays

401(k) plan with company match

Remote work

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time. 

#LI-REMOTE

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Average salary estimate

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$94500K
$133400K

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What You Should Know About Sr. Data Product Business Analyst - #1719, MeridianLink

At MeridianLink, we're on the lookout for a passionate individual to join us as a Sr. Data Product Business Analyst. This pivotal role is part of our Data Insights team where your deep understanding of data will empower you to create industry-leading products that deliver real value to our stakeholders. You'll have the opportunity to harness your advanced analytics skills, working closely with cross-functional teams including Data Engineering, to shape our data product strategy. Your knack for converting complex queries into clear business requirements will ensure that our internal and external customers can draw incredible insights from the data we provide. If you’re someone who thrives in a collaborative agile environment, understands reporting tools like Power BI and SQL, and loves tackling challenges with a data-driven mindset, this could be the perfect role for you. At MeridianLink, we pride ourselves on having a company culture that values our employees—offering opportunities for growth, a healthy work-life balance, and an open-door policy that encourages your ideas. So, if you're driven, curious about data, and eager to influence the success of our software solutions, we want to hear from you!

Frequently Asked Questions (FAQs) for Sr. Data Product Business Analyst - #1719 Role at MeridianLink
What are the responsibilities of a Sr. Data Product Business Analyst at MeridianLink?

As a Sr. Data Product Business Analyst at MeridianLink, your primary responsibilities will include refining requirements, generating business insights through complex BI reporting and analysis, and partnering with the Data Engineering team to enhance data accuracy and reliability. You'll be deeply involved in the data product life cycle, ensuring that your contributions align with industry best practices and agile methodologies. This role is crucial in shaping the company's data strategy and requires excellent communication and leadership skills.

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What qualifications do you need for the Sr. Data Product Business Analyst position at MeridianLink?

To excel as a Sr. Data Product Business Analyst at MeridianLink, candidates should possess a Bachelor’s degree in a relevant field, along with 4 to 6 years of experience. Proficiency in SQL and BI tools like Power BI and Tableau is essential, and prior experience in the financial industry is highly preferred. Additionally, expertise in the agile scrum framework, strong problem-solving abilities, and excellent communication skills are vital for success in this role.

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What tools and technologies should a Sr. Data Product Business Analyst be familiar with at MeridianLink?

A successful Sr. Data Product Business Analyst at MeridianLink should be proficient in SQL and familiar with BI tools such as Power BI, Tableau, and Sisense. Knowledge in Python or R for statistical analysis is a plus. Familiarity with agile methodologies and experience in applied analytics across various sectors like Finance or Marketing will also be highly beneficial in this role.

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How does MeridianLink support professional growth for Sr. Data Product Business Analysts?

MeridianLink encourages professional growth among its employees by promoting from within, allowing for upward mobility within the company. With an open-door policy, team members have direct access to executives, fostering an environment where ideas are welcomed and valued. Moreover, MeridianLink provides a range of benefits such as flexible paid time off and equity-based awards to support work-life balance and career advancement.

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What does a typical workday look like for a Sr. Data Product Business Analyst at MeridianLink?

A typical workday for a Sr. Data Product Business Analyst at MeridianLink includes collaborating with cross-functional teams, refining and documenting business requirements, conducting data analysis, and developing insightful BI reports. You'll also be involved in scrum meetings, working closely with the Data Engineering team to solve data-related challenges, and contributing to project discussions that drive the data product strategy forward.

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Common Interview Questions for Sr. Data Product Business Analyst - #1719
What led you to apply for the Sr. Data Product Business Analyst position at MeridianLink?

When answering this question, focus on your passion for data and your desire to contribute to a successful company like MeridianLink. Discuss how the role aligns with your skills in analytics, your interest in data products, and how you appreciate the company culture and values.

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Can you describe your experience working with SQL and BI tools?

Be specific about your experience with SQL and various BI tools. Highlight projects where you used these technologies to derive insights or solve business problems. Discuss the tools you're most comfortable with and provide examples of how you applied them effectively.

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How do you handle ambiguous requirements in a project?

Explain your approach to refining ambiguous requirements. Discuss techniques such as stakeholder interviews, user stories, or workshops that you utilize to clarify needs, emphasizing your communication and analytical skills.

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Describe your experience working within an Agile framework.

Share your familiarity with Agile methodologies, such as Scrum or Kanban. Describe your roles in past Agile projects, how you contributed to sprint planning, stand-ups, or retrospectives, and how you adapted to changes in project requirements.

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What strategies do you use to translate business needs into technical specifications?

Discuss your approaches to eliciting requirements from stakeholders and how you ensure clear communication. Highlight your experiences in creating user stories and acceptance criteria and your ability to bridge the gap between technical and non-technical stakeholders.

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Can you provide an example of a challenging data analysis project you've worked on?

Share a specific project that demonstrates your problem-solving and analytical skills. Discuss the challenges you faced, the methods you used to analyze data, and the impact of your findings on the organization.

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How do you prioritize tasks when working on multiple projects?

Demonstrate your ability to prioritize by discussing your organizational strategies. Explain how you assess urgency and impact, manage expectations with stakeholders, and ensure that your work aligns with company goals.

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What role does collaboration play in your work as a Business Analyst?

Emphasize the importance of collaboration in ensuring project success. Provide examples of how you have worked closely with cross-functional teams, sharing insights and leveraging diverse expertise to achieve common goals.

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How do you ensure data quality and accuracy in your analyses?

Discuss your methods for maintaining data quality, such as validation techniques, regular audits, and working closely with Data Engineering teams. Explain how you address inaccuracies and strive for reliable insights.

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What motivates you in your role as a Sr. Data Product Business Analyst?

Share your genuine passion for data and analytics. Talk about the joy you find in uncovering insights that drive business decisions and how you thrive on challenges that empower you to learn and grow professionally.

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Full-time, remote
DATE POSTED
March 12, 2025

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