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Senior Data Analyst

LinkedIn CIM Group Los Angeles, CA
Not Applicable Posted April 3, 2026 Job link
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Requirements
  • 2-4 years of experience in data analysis, financial reporting, or investment operations; internship experience considered for entry-level candidates
  • Understanding of accounting principles and financial statement concepts
  • Progress toward or interest in CFA, CAIA, or CPA designation
  • Advanced Excel proficiency required: pivot tables, VLOOKUP/XLOOKUP, INDEX-MATCH, Power Query, and complex formulas
  • SQL experience required: ability to write queries to extract, filter, join, and aggregate data from relational databases
  • Experience with data visualization tools (Domo, Power BI, Tableau, or similar) for dashboard creation and reporting
  • Familiarity with Python or R for data manipulation and analysis preferred; willingness to learn required
  • Experience with Yardi or other real estate/investment management systems a plus
  • Proficiency in Microsoft Office suite, particularly Excel, PowerPoint, and Word
  • Strong analytical and problem-solving skills with exceptional attention to detail
  • Ability to work with large datasets and identify patterns, anomalies, and data quality issues
  • Excellent organizational skills with ability to manage multiple priorities and meet deadlines
  • Strong written and verbal communication skills; ability to explain data findings to non-technical audiences
  • Intellectual curiosity and eagerness to learn investment concepts, fund structures, and performance measurement
  • Experience with modern data platforms (e.g., Databricks, Snowflake) or cloud-based analytics tools
Preferred Skills
  • Exposure to private equity, real estate, or alternative investments preferred; traditional asset management or fund administration experience also valued
  • Familiarity with Python or R for data manipulation and analysis preferred; willingness to learn required
  • Experience with Yardi or other real estate/investment management systems a plus
  • High degree of integrity and commitment to data accuracy and confidentiality
  • Understanding of investment performance metrics (IRR, MOIC, TWR) and how they are calculated
  • Familiarity with fund structures, waterfalls, and investor allocation methodologies
  • Experience with NCREIF, MSCI, or other industry benchmark data submissions
  • Knowledge of ILPA reporting standards and institutional investor DDQ processes
  • Exposure to data governance concepts, data dictionaries, and metadata management
  • Experience with modern data platforms (e.g., Databricks, Snowflake) or cloud-based analytics tools
  • Experience with using AI tools effectively for work tasks
  • ABOUT YOU: Exceptional communication and interpersonal skills, with the ability to influence and persuade stakeholders at all levels.
  • Strong analytical and problem-solving abilities, with a meticulous attention to detail.
  • A proactive and collaborative mindset, with a proven ability to work effectively in a cross-functional team environment.
Education
  • (Not required) – Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Information Systems, or related field
  • (Not required) – Exposure to private equity, real estate, or alternative investments preferred; traditional asset management or fund administration experience also valued
  • (Not required) – Progress toward or interest in CFA, CAIA, or CPA designation