[Remote] BI Manager, Finance at Turing

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, FinanceIndustries

Requirements

6–10+ years in Analytics/BI with meaningful time supporting Finance/FP&A; proven success building or leading a small BI team while remaining hands-on
Advanced SQL; experience with BigQuery (preferred) or similar cloud warehouses; familiarity with dbt/Fivetran/Airflow (or equivalents) a plus
Expertise in Tableau or Looker (LookML) and dashboard design best practices
Experience with NetSuite (ERP) and Salesforce (CRM) strongly preferred; comfortable with their data models, connectors, and reporting nuances
Experience enabling FP&A workflows and connecting warehouse data to planning tools (Anaplan or similar)
Comfort establishing metric definitions, data contracts, and test/monitoring frameworks
Executive-caliber storytelling; ability to influence cross-functionally (Finance, Business Systems, RevOps, Delivery, People)
Mindset: Player-coach, systems thinker, bias-to-action, and outcome-focused

Responsibilities

Build the BI org in Finance: Define the team charter, operating model, and hiring plan. Provide dotted-line guidance to BI Analysts hired by Business Systems and transition them to direct management as the team scales
Own the metrics & semantic layer: Establish a governed KPI catalog (company, segment, function), metric definitions, and a single source of truth for exec reporting
Dashboards & self-service: Design, build, and maintain executive and functional dashboards in Tableau or Looker (LookML); enable self-service with curated datasets
Data quality & pipelines: Partner with Business Systems/Data Engineering to review ELT/ETL pipelines, implement tests/alerts, and ensure reliability, timeliness, and completeness across key sources (e.g., NetSuite ERP, Salesforce CRM, HRIS)
Modeling for Finance: Create finance-ready data models for revenue, opex, and headcount; manage master data, mapping tables, and dimensional design that align to the GL and cost-center structure
Planning systems integration: Help set up and maintain our planning model (e.g., Anaplan); design data contracts and automated connectors from the warehouse to planning
Reporting cadence: Produce board/ELT reporting packages, variance bridges, and driver trees; automate recurring reporting with clear "so-what" insights and owner actions
AI-assisted analytics: Pilot anomaly detection, narrative generation, and reconciliation automations to accelerate monthly/quarterly cycles

Skills

Key technologies and capabilities for this role

TableauLookerLookMLBIData WarehousingData PipelinesSemantic LayerKPI CatalogFinancial PlanningDashboard Design

Questions & Answers

Common questions about this position

What experience is required for the BI Manager role?

Candidates need 6–10+ years in Analytics/BI with meaningful time supporting Finance/FP&A, and proven success building BI functions or teams.

What are the main technical responsibilities in this role?

You'll design the semantic layer, build Tableau/Looker dashboards, review data pipelines, create finance data models, integrate planning systems like Anaplan, and pilot AI-assisted analytics.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this BI Manager position?

This information is not specified in the job description.

What makes a strong candidate for this BI Manager role?

A strong candidate has 6–10+ years in Analytics/BI supporting Finance/FP&A, experience building BI organizations, and hands-on skills in tools like Tableau, Looker, and data pipelines.

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$132.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Risks

Competition from platforms like DevZero offering cloud-based development environments.

Crowded market with new AI-driven talent platforms like Gaper and Aloa.

Potential brand confusion with South Korean company Turing Co.

Differentiation

Turing uses AI to match businesses with over 3 million vetted engineers.

Turing's Talent Cloud accelerates team building, similar to scaling servers on AWS.

Turing offers a 99% rematch rate for engineers, ensuring job stability.

Upsides

Remote work trend boosts demand for Turing's remote engineer connections.

Global tech talent shortage increases reliance on Turing's AI-powered talent matching.

Turing's AI-driven recruitment tools enhance hiring efficiency and accuracy.

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