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Client Reporting Technical Analyst

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: EmergencyMD
Full Time position
Listed on 2026-08-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Business Intelligence
Salary/Wage Range or Industry Benchmark: 140000 - 160000 USD Yearly USD 140000.00 160000.00 YEAR
Job Description & How to Apply Below

Evolver is seeking a technically proficient Technical Analyst to support the design, delivery, and continuous improvement of Client Reporting technology. This role will be an expert on the end-to-end client reporting data flow - from upstream data ingestion and pipeline management through to final report generation and distribution - ensuring accuracy, timeliness, and operational resilience across all reporting channels.

The ideal candidate brings hands-on experience with reporting platforms like Seismic or Vermilion, a strong command of data pipelines and warehouse structures, and a working knowledge of the broader investment operations data ecosystem. This role is well suited for a self-starter who can independently diagnose data issues, partner with technology and business teams, and drive continuous improvement in a lean, high-ownership environment.

Location

Must be able to work on-site in SF 4 days a week.

Key Responsibilities
  • Subject matter expert on end-to-end client reporting workflow, from data sourcing and transformation through report generation and distribution across institutional, intermediary, and internal stakeholders.
  • Develop deep familiarity with report templates, delivery schedules, and client-specific data requirements across standard and custom reporting packages.
  • Manage and triage production report incidents, proactively identifying and resolving failures, data anomalies, or delivery exceptions prior to client impact.
  • Collaborate with stakeholders to translate business reporting requirements into technical data and platform specifications.
  • Maintain a thorough understanding of the client reporting data flow - from source systems (vendor system, internal data warehouse) through ingestion, transformation, and final report output.
  • Support and troubleshoot data pipeline feeding reporting platforms, including identifying root causes of data quality issues, mapping upstream data dependencies, and coordinating resolution with data and platform teams.
  • Document data lineage, pipeline logic, and table/schema structures for client reporting datasets, contributing to a maintainable and auditable data environment.
  • Support platform upgrades, integrations, and UAT testing as part of the broader SDLC process.
  • Contribute to data governance practices including metadata documentation, data dictionary maintenance, and lineage tracking within platforms such as Ataccama or Collibra.
  • Maintain and prioritize a backlog of reporting enhancements, automation opportunities, and data quality improvements.
  • Provide hands‑on support for ad hoc data requests and analysis in support of client deliverables, regulatory filings, and business initiatives.
Basic Qualifications
  • 5 years of experience in financial services, preferably within a buy‑side asset manager supporting client reporting, investment operations, or related data functions.
  • 5 years of experience of end‑to‑end client reporting data flow, including data sourcing from accounting and operations platforms, pipeline transformations, and report distribution.
  • 5 years of experience with SQL and the ability to independently query, analyze, and troubleshoot complex datasets across relational databases or cloud data warehouses (Snowflake preferred).
  • 5 years of experience with data pipeline concepts, including ingestion patterns, staging layers, transformation logic, and table/schema design.
  • Bachelor's degree required.
Preferred Qualifications
  • Experience with Eagle PACE, Eagle SRM, or comparable fund accounting and security master platforms strongly preferred.
  • Familiarity with Snowflake or similar cloud data warehouse environments, including understanding of data models supporting performance, holdings, and characteristics, preferred.
  • Experience with scripting or automation (Python or equivalent) to support pipeline monitoring, report validation, or workflow automation preferred.
  • Strong analytical and problem‑solving skills with a demonstrated ability to identify data issues, trace root causes, and drive resolution independently.
  • Experience managing or supporting technology projects within the SDLC framework.
  • Excellent communication and stakeholder management skills.
  • Demonstrated…
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