Swooped · 4 hours ago

Lead Data Analyst

United States

Full-time

Remote

Senior Level, Lead/Staff

$150K/yr - $180K/yr

6+ years exp

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Responsibilities

Create visibility of operations and product performance: Measuring performance against assumptions is how learning and improvement occur. As Lead Data Analyst, you will be responsible for providing teams with the data needed to evaluate the effectiveness of their processes and products.

Drive improvement in business: You will analyze data to identify ways to enhance business performance. Proactively identifying opportunities and prioritizing tasks will help achieve business objectives. Working directly with teammates across the organization, you will educate them on insights and drive strategic changes.

Be a trusted strategic partner: The Data Science & Analytics team supports all departments, making it crucial to establish and maintain communication with teams driving key metrics. Building trust, understanding their processes, and applying analytical skills will enable you to assist in their improvements.

Data Engineering: Being part of a newer team in a growing organization, you will be responsible for data engineering tasks. This includes gathering, cleaning, and preprocessing data from multiple sources while ensuring accuracy and consistency. Collaboration with Analytics Engineering will ensure data workflows produce clean, optimized data models.

Evaluate & Produce Quality: Ensuring code is thoroughly reviewed is vital. You will be involved in confirming that your and your teammates' code is error-free, unbiased, and easily understandable.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Business IntelligenceSQLData EngineeringAnalytics CollaborationGoogle AnalyticsPythonBigQuerySnowflakeDbtVersion ControlGoogle SheetsSalesforce CRMBehavioral MetricsData PrivacyReporting ToolsAirflowStreamlitDash

Required

6+ years of experience in a business intelligence, analytics, or decision science role, with at least 3 years working directly with consumer data related to marketing, sales, service delivery, and retention issues

Familiarity with BigQuery, Snowflake, or similar data warehouse solutions

Proficiency in SQL

Proficiency in dbt

Proficiency in Google Sheets

Proficiency in version control

Proven ability to work independently and within a team

Experience collaborating with Analytics Engineers to develop modular, highly optimized data models

Experience working with Data Scientists and Machine Learning Engineers on complex predictive problems

Exceptional at building rapport and trust with business leaders and cross-functional peers

Proficient in investigating and documenting business processes and user flows

Strong understanding of core consumer tech metrics, including: LTV, retention, CAC, RAC, ARR, ARPC, margin, NPS, CSAT, and behavioral metrics

Experience utilizing data from Salesforce CRM