• Assist the Data Engineering team with migration from BigQuery to Snowflake • Translate and optimize SQL queries across platforms • Perform end-to-end validation to ensure data correctness and pipeline reliability • Write and maintain incremental dbt models • Collaborate closely with data engineers, analysts, and stakeholders to understand data needs and deliver solutions • Participate in code reviews, share knowledge, and contribute to team best practices • Document work clearly to support maintainability and knowledge sharing

• Design and develop data serving and semantic layers to support business needs • Develop data models for use by analysts and applications using modern dimensional modeling practices • Build and maintain robust, scalable data pipelines using ETL, ELT processes • Create efficient and performant data models to support business requirements • Implement and automate data quality checks and monitoring to ensure data accuracy • Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions • Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs

Role Description Gordon Rees Scully Mansukhani, a national law firm with offices in all 50 States, has an immediate opening for a Financial Data Reporter. This is a remote or hybrid role reporting to one of the firm’s many locations across the US. The primary function of this entry to mid-level role is to review, prioritize, and respond to ad-hoc data inquiries from internal users by utilizing data warehouses, financial application tools, or simple SQL queries. This position requires strong communication, interpersonal, and organizational skills along with high computer literacy and the ability to collaborate across a multitude of departments and varying user financial aptitudes within the firm. The ability to work efficiently under pressure, manage competing data requests, and maintain accuracy in a fast-paced environment is essential. Qualifications - A four-year college degree, ideally in accounting, business, finance, or mathematics is preferred; applicants with equivalent, relevant work experience in the accounting and/or legal fields will also be considered. - Work experience or academic background should demonstrate appropriate understanding/working knowledge of detailed financial data and modeling. - Proficient knowledge of Microsoft Excel is required. - Working knowledge of Microsoft SQL, SSRS, and Teams is a strong plus. - Solid computer literacy and familiarity with the standard MS Office Suite, including word processing, spreadsheet, database, and presentation programs. - Ability to communicate and interact effectively with employees with varied backgrounds, skill sets, and levels of financial technical aptitude. - Highly organized, adept at prioritizing data requests, problem-solving, and working under deadlines. - Ability to work both independently, with little or no direction, and collaboratively within a team or inter-departmentally. Requirements - Review, prioritize, and fulfill ad-hoc financial data inquiries from internal firm users via a ticketing system in a timely and accurate manner. - Extract, manipulate, and analyze data out of core data warehouses and legal financial application tools. - Write and execute simple SQL queries to extract necessary financial sets for reporting requests. - Identify needs for automated data reporting solutions based on recurring internal user requests. - Coordinate directly with FinTech developers to design, test, and provide automated data-driven solutions for customers and internal departments. - Assist in mapping out data requirements and workflow logic to improve reporting delivery and data visibility across the firm. - Validate reporting outputs to maintain data integrity and protect the quality of reporting systems. - Translate complex financial data into clear, readable layouts (such as spreadsheets, summaries, or basic presentation formats) for users of varying financial aptitudes. Benefits - Competitive compensation. - Full benefits package, including Medical, Dental, Vision, 401K, PTO, Disability, Parental Leave & Life Insurance. - The yearly salary range is between $55,000-$70,000. Company Description This position is open to all experience levels. The actual salary offered may be above or below the identified range and will be based on a wide range of factors, including relevant skills, training, experience, including the location where the position is filled. For consideration, please submit a cover letter and resume. No recruiter emails or telephone calls. Disclaimer: Reposting positions from this website does not authorize search firms or other third parties to directly solicit candidates on the firm’s behalf or represent a relationship with the firm. Agencies must sign GRSM’s fee agreement. The firm’s search agreements are specific to individuals and groups who will be considered on a case-by-case basis. Candidates submitted by a search firm without an executed search firm agreement will not be considered as an applicant. For consideration, please send a detailed blind profile of your candidate to: recruiting@grsm.com.

• Lead the Enterprise Platform data engineering function—defining the roadmap, operating model, and standards that implement JLL’s company data strategy and data quality programs at enterprise scale. • Align team execution with JLL’s enterprise data strategy while delivering the platform capabilities that all business units depend on. • Define and drive the Enterprise Platform data strategy—implementing JLL’s company data strategy and consolidating siloed data sources into a unified, governed, and scalable data architecture. • Provide technical leadership across the Enterprise Platform Data Engineering team and related initiatives, setting architectural standards, design patterns, and best practices. • Architect sophisticated integration strategies for structured and unstructured data sources. • Design and implement enterprise-grade data integration frameworks.