RealINSIGHT Advisors LLC
At RealINSIGHT, a division of CW Financial Services LLC, we develop powerful software tools supporting the commercial real estate finance industry. We are seeking a
Data Services Analyst
to join our team. This role involves working with data, solving complex problems, and delivering high-quality data solutions in a client-focused environment. The analyst will collaborate with internal teams and clients to build, maintain, and enhance data integrations that advance our technology. Responsibilities include: Designing, mapping, and implementing data integration processes using RealINSIGHT tools and client specifications. Performing data transformations and validations to ensure accuracy and consistency. Manipulating and analyzing complex datasets using Excel and SQL. Organizing and transforming data into clear, comprehensible formats. Maintaining and monitoring data quality across client implementations. Automating data transfer processes where applicable. Communicating effectively with clients to meet deadlines and resolve data issues. Collaborating with internal teams on new data loading and mapping features. Required skills and abilities: Strong understanding of data mapping and transformation concepts. Proficiency in Microsoft Excel, including handling large datasets and advanced functions. Experience with SQL and relational databases. Familiarity with Microsoft Office Suite. Excellent problem-solving and communication skills. Team-oriented mindset and a commitment to continuous learning. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Experience in commercial real estate, structured finance, loan servicing, or accounting systems is preferred. Preferred qualifications: Background in commercial real estate, with experience in investment analysis, valuations, or underwriting. Familiarity with tools like Costar, RCA / MSCI, Trepp, and KBRA is a plus. Strong analytical and financial modeling skills, proficiency in Excel, and the ability to evaluate qualitative and quantitative factors in property valuations. Education and experience: 2-3 years working with financial or structured data. 2-3 years with SQL/database structures. Bachelor's degree in information systems, Finance, Computer Science, or related field, or equivalent professional experience.
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Data Services Analyst
to join our team. This role involves working with data, solving complex problems, and delivering high-quality data solutions in a client-focused environment. The analyst will collaborate with internal teams and clients to build, maintain, and enhance data integrations that advance our technology. Responsibilities include: Designing, mapping, and implementing data integration processes using RealINSIGHT tools and client specifications. Performing data transformations and validations to ensure accuracy and consistency. Manipulating and analyzing complex datasets using Excel and SQL. Organizing and transforming data into clear, comprehensible formats. Maintaining and monitoring data quality across client implementations. Automating data transfer processes where applicable. Communicating effectively with clients to meet deadlines and resolve data issues. Collaborating with internal teams on new data loading and mapping features. Required skills and abilities: Strong understanding of data mapping and transformation concepts. Proficiency in Microsoft Excel, including handling large datasets and advanced functions. Experience with SQL and relational databases. Familiarity with Microsoft Office Suite. Excellent problem-solving and communication skills. Team-oriented mindset and a commitment to continuous learning. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Experience in commercial real estate, structured finance, loan servicing, or accounting systems is preferred. Preferred qualifications: Background in commercial real estate, with experience in investment analysis, valuations, or underwriting. Familiarity with tools like Costar, RCA / MSCI, Trepp, and KBRA is a plus. Strong analytical and financial modeling skills, proficiency in Excel, and the ability to evaluate qualitative and quantitative factors in property valuations. Education and experience: 2-3 years working with financial or structured data. 2-3 years with SQL/database structures. Bachelor's degree in information systems, Finance, Computer Science, or related field, or equivalent professional experience.
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