detail-minded data analyst consultant
Role details
Job location
Tech stack
Job description
We are seeking an experienced, detail-minded data analyst consultant to join our global business development and strategy team. In this role, you will be embedded at Monks, serving as a critical partner dedicated to supporting one of our most prestigious, high-profile client accounts. If you look forward to untangling complex business problems, driving data-led strategy, and thriving in a fast-moving, collaborative environment, we want to hear from you., * Insights over Inputs: You don't just pull data; you interpret results, cross-reference data quality, spot the "bad data" anomalies, and surface meaningful strategic insights.
- Adaptable & Autonomous: You thrive in a rapid, cross-functional environment, easily self-managing through dynamic priorities and shifting client requirements.
- Sharp Communicator: Exceptional presentation and communication skills, with a proven ability to distill complex technical data into clear, actionable narratives for stakeholders at all levels.
The Day-to-Day (Your Impact) Data Exploration & Architecture
- Connect the Dots: Work closely with the team to piece together seemingly disparate data sources, build out robust data pipelines, and create highly interactive, intuitive dashboards.
- Deep-Dive Analysis: Immerse yourself in the client's complex financial datasets, applying advanced data discovery and modeling methodologies while collaborating cross-functionally with various data owners and analysts.
Collaboration & Strategy
- Bridge the Gap: Partner directly with data product managers and data engineers to translate complex business needs into sharp, actionable analytical requirements.
- Influence the Roadmap: Communicate your analysis and strategic insights clearly and effectively to product and leadership teams to directly shape the client's overarching product strategy.
- Proactive Communication: Transparently share and demystify data methodologies and results with a diverse, fast-moving set of global stakeholders. #LI-MF1 #LI-Hybrid
Requirements
- 6+ years of experience in a data analyst or analytics consultant role, ideally within a fast-paced agency or global client-facing environment.
- Core Tech: Advanced SQL is required; scripting knowledge in Python/Shell is highly preferred.
- Data Engine: Strong familiarity with database modeling, data warehousing principles, and using Trino for independent querying.
- Data Viz: Experience building dashboards and data visualizations that tell a story (knowledge of Tableau, Superset, and SAP Business Objects is a plus).
- Workflow: Complete proficiency in Jira (owning the full ticket lifecycle) and native fluency in Agile/Scrum environments (ceremonies, backlog hygiene, sprint management).
Benefits & conditions
- Excellent, full coverage medical, dental, and vision insurance
- Generous PTO and 15 company-wide holidays
- 401k with company contribution
- Paid parental leave
- Work-life balance with an emphasis on personal well-being
- Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
- A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
- Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)
This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company's then-current RTO policy, which is subject to change from time to time.
Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate's sex or any other protected status.
Salary Range:
$90,000-$120,000 USD