Data Collections Specialist

Data Specialist

Home. It’s a word that holds a special place at Bright MLS. At its core, it’s shelter. But it’s also so much more. Family. Community. Safety. A place where you can be your fullest, truest self. That’s the word that inspires all of us at Bright to do the work that we do -- Ensuring an open, clear, and competitive housing market for ALL. 

Our company –and our brand –are reflective of the diverse communities that make up our market. Our employees represent a diverse mix of backgrounds, cultures and experiences, so much so that Bright’s been named as one of the most diverse employers in the area by the Washington Business Journal –2 years in a row. 

Bright MLS is the engine that powers the real estate market in the Mid-Atlantic U.S. - supporting over $100B in transactions yearly. It is the single source for all data on Mid-Atlantic residential real estate - anywhere. As a Multiple Listing Service (MLS), our technology solutions connect real estate professionals with other real estate professionals and their clients, providing an open and accessible marketplace for buying and selling real estate. 

We’re redefining what it means to be an MLS, and we’d love to have YOU here with us helping tell a Brighter story to the world.  To learn more, please visit www.brightmls.com. 

SUMMARY:

We are seeking a Data Specialist for our Data Ecosystems team to perform a wide range of tasks to help support our data customers and subscribers.

Roles and Responsibilities

• Utilize Salesforce to communicate with data customers and assist with a wide range of questions and problems.
• Perform initial data analysis for data accuracy questions from subscribers and work with data engineers to resolve.
• Utilize tools such as Postman and custom applications to troubleshoot and validate data issues.
• Aid Senior team members for data collection and analysis tasks.
• Provisioning of standard data customer accounts to provide access to Bright’s data resources.
• Work in JIRA and Confluence to update stories, maintain and build documentation for support.
• Meet SLA requirements for support ticket response and resolution times.
• Escalate complex issues to Senior and Engineer team members.
• Work with multiple teams within Bright to provide internal data support.

Requirements and Qualifications

• Experience supporting customers through a ticketing system, with a high level of communication skills.
• Good working knowledge of using Microsoft Excel spreadsheets and delimited data sources for entry-level data analysis and manipulation.
• Some experience working with Atlassian JIRA in a kanban or agile scrum environment in a task-oriented position a plus.
• May have worked with Atlassian Confluence, writing technical documentation and procedures, creating rich articles and content structures ensuring data is synchronized with JIRA.
• Have possibly worked with different types of APIs and API data flow concepts, including RESTful, OData, Postman and API documentation standards. Having worked with RETS and RESO Web API is a big advantage.
• Worked previously in the Real Estate industry, with an understanding of the agent-broker-client relationships and the responsibilities of the Multiple-Listing Service (MLS) is highly desired.
• Experience with SalesForce CRM or similar for ticket queues, contact management and client communications would be a plus.
• An associate degree in computer science or a related field is desirable, or equivalent work experience.

The salary range for this position is $50,000 to $75,000, based on experience, skills, and qualifications. This position is also eligible for annual performance-based bonuses. Our comprehensive benefits package includes individual and family health, vision, and dental coverage, 401(k) plan with employer-matching, and Paid Time Off (PTO) and holidays.

It is the company's policy to recruit, hire, train and promote individuals, as well as to administer any and all personnel actions, without regard to race, color, religion, age, sex (including gender identity, sexual orientation, and pregnancy), marital status, national origin, disability, genetic information, ancestry, military status or any other unlawfully prohibited characteristic in accordance with applicable laws.