Technical Data Analyst, Product

A Technical Data Analyst at Engrain plays a pivotal role in the analysis and alignment of fee data structures across various systems, including property management platforms and partner APIs. Responsibilities include ensuring compliance with evolving regulations, collaborating with customers and partners for data clarity, and maintaining data quality through constant monitoring and troubleshooting.

To be considered for the Technical Data Analyst role at Engrain, candidates should possess a bachelor’s degree in a technical field or equivalent experience, along with at least three years of experience in data analysis or software implementation. Proficiency in SQL, JSON, and XML is essential, and familiarity with multifamily real estate or property management systems is a strong plus.

Engrain ensures data transparency by having Technical Data Analysts work closely with clients and partners to explain the source and flow of fee data. They advocate for compliance with regulations and provide clarity on how data is captured and displayed in our products, making it easy for users to understand.

Key skills for a Technical Data Analyst at Engrain include strong analytical and problem-solving abilities, proficiency in data management tools, excellent communication skills to convey technical information, and a solid understanding of fee data structures and regulations impacting the real estate industry.

As a Technical Data Analyst at Engrain, you can look forward to a competitive salary, various health and wellness benefits, generous PTO, paid parental leave, and unique on-site amenities like a dog-friendly office and a fitness center, alongside opportunities for professional development through our Grow450 program.

When analyzing fee data from multiple sources, I'd start by identifying the various data formats and structures. I would map the data from each source to a unified model, ensuring clarity and consistency. Utilizing SQL would help in querying the data efficiently, and I'd create comprehensive documentation of the analysis process to assist stakeholders in understanding the outcomes.

To ensure compliance with fee data regulations, I stay informed about local and state laws through continuous research. I implement regular audits of our data structures and work closely with legal and product teams to ensure our fee data practices are up to date and align with industry standards.

I have experience using various data visualization tools, coupled with advanced SQL skills to transform data into actionable insights. I believe that effective visualization can significantly enhance user understanding of fee data, so I focus on making our visuals clear and informative.

My approach to troubleshooting is methodical. I first assess the problem by reviewing historical data and logs to identify patterns or anomalies. Then, I collaborate with colleagues or partners to pinpoint the root cause and propose solutions, ensuring that the data flow is interrupted as little as possible during this process.

I believe in using simple language and relatable analogies to explain complex concepts. I’d also provide visual aids, such as flow diagrams or charts, to help illustrate data processes and structure. Tailoring my communication to the audience's level of understanding is key in making technical information accessible.

Essential tools for my data analysis work include SQL for querying databases, Excel for data manipulation, and data visualization software like Tableau or Power BI. Additionally, I leverage APIs for data integration and validation, ensuring that our datasets remain accurate and comprehensive.

In a previous role, I identified inconsistencies in financial data across multiple systems. I developed a standardized data entry protocol and trained the team on these new guidelines, which resulted in a significant improvement in data accuracy and reduced discrepancies during audits.

I have hands-on experience with designing and testing API integrations. This includes understanding request/response patterns, setting up authentication processes, and troubleshooting any issues that arise. Clear documentation during this process has facilitated seamless collaborations between developers and our partners.

I subscribe to industry newsletters, attend webinars, and participate in forums relevant to real estate data management. Networking with industry professionals and being an active member of related communities helps me stay informed about legislative shifts and best practices that influence fee data handling.

I'm drawn to Engrain because of your commitment to transparency and innovation in the real estate space. The opportunity to work with cutting-edge technologies while advocating for data accuracy aligns perfectly with my passions and career goals, and I'm excited about the potential to contribute to such meaningful projects.