Job description

Director, Data & Analytics job at Reference Point. New York, NY. At Reference Point, you’ll have the opportunity to shape your future. Our inclusive culture and supportive team empowers you to work with leading global banks and financial institutions, alongside talented consultants and former C-suite executives. Our boutique-style firm allows us to provide opportunities to our team members that might not exist at traditional consultancies. Unlike traditional firms, we prioritize listening to our team, fostering leadership, and supporting your individual passions—creating unique opportunities to make a real impact. We deliver end-to-end strategy, management, and technology solutions that help clients navigate today’s challenges and prepare for tomorrow's opportunities. We help clients navigate the next generation of challenges with solutions for today and insights for the future. What sets us apart is our proven approach: We build high-performing teams by pairing renowned industry executives with top-tier consultants to deliver practical, innovative solutions backed by high-quality execution. For over 20 years, this differentiated formula has helped us stand out and succeed. Joining us means leading meaningful projects, expanding your network, and enjoying the journey. THE OPPORTUNITY Reference Point is currently seeking a Technical Data Director to support challenging client engagements within a rapidly growing boutique management consulting firm. We are looking for an experienced, driven and entrepreneurial individual to support teams delivering on a variety of projects for financial services clients aligned to our Data and Technology service offerings. RESPONSIBILITIES • Support client engagement delivery and work collaboratively with senior client stakeholders • Lead data source investigation efforts • Create documentation of databases and schemas • Perform analysis of data, patterns, and exceptions • Support integration of metadata into enterprise tooling solutions • Communicate findings, data insights and signals to internal and client stakeholders REQUIRED QUALIFICATIONS • Experience with database and schema design • Strong understanding of Data Warehousing concepts and EDW Data Modeliing • Analytics skills and exposure to a variety of tools and technologies, specifically SQL and SQL Server experience • Strong working experience of ETL design principles in building an enterprise data warehouse • Strong understanding of data warehouse architecture, layers, constructs, and data design concepts • Deep financial industry experience, either in industry or consulting roles • Strong data modeling skills in Excel • Exposure to Information Security and other data privacy considerations • Excellent communication skills and ability to work across technology teams • Proven ability to work independently as well as collaboratively in an entrepreneurial, team environment • High energy, drive, integrity, and an entrepreneurial spirit • Hybrid work environment: NYC office and remote PREFERRED QUALIFICATIONS • Strong understanding of data science basics • Experience with lending and the supporting business systems and processes • Oracle/Sybase skills • Experience with user requirements gathering • AI/ML data profiling skills • Experience with Wealth Management (Sales) data • Experience with data mapping and redacting EDUCATION A bachelor’s degree or higher The ideal candidate will have demonstrable experience in a number of the below technical skills. • Data Visualization : PowerBI, Tableau, Alteryx • Programming languages : SQL, R, Python, T, Spark, Stata, JSON, Java • Developer Productivity : JIRA, Confluence, Azure Devops • Data Platforms: Snowflake, Spark, Teradata+, Hadoop, Cloudera, Hotronworks , ElasticSearch, Splunk, MapR, Redshift, Cassandra, Informatica • Data Governance/Lineage Platforms: Colibra, Alex Solutions • Cloud Platforms: Amazon Web Services (AWS), Azure, Google Cloud • Microsoft Suite: Office, Visio, SharePoint, Access The ideal candidate will have one or more of the below certifications: • Data Capability Assessment Methodology (DCAM) • Cloud Data Management Capabilities Methodology (CDMC) • Microsoft Azure Solutions Architect Expert / Database Administrator • AWS Certified Cloud Practitioner / Solutions Architect / SysOps Administrator / Data Analyst • Tableau Desktop Certified Associate About Reference Point: Experience. Expertise. Execution. Results. Reference Point provides end-to-end strategy, management, and technology consulting tailored for the specialized needs of the global banking and financial services industry. Founded in 2002, our differentiated approach ensures clients achieve their goals by pairing renowned former C-suite executives with top-tier consultants to deliver practical, innovative, and impactful solutions supported by top-notch implementation. For individuals assigned and/or hired to work in New York City, Reference Point is required by law to include a reasonable estimate of the compensation range for this role. This compensation range considers the wide range of factors that are considered in making compensation decisions including but not limited to location; skill sets; experience and training; licensure and certifications; and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each potential employee and subsequent job performance. A reasonable estimated salary range for this position is $250,000 to $300,000. Reference Point is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

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