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Customer Success Data Analyst

Square- Remote
https://block.xyz/careers/jobs/4127857008
Full Time
Junior (3-5 years)
Annually

Pay Range

Annually:

$89,000 - $168,000

No equity

Industry

Finance

Description

You will: Partner with stakeholders throughout the organization to facilitate data-informed decision-making by leveraging analytics Utilize a variety of strategies, including statistical analysis and quantitative reasoning, to address challenges, conduct research, and generate actionable insights Independently manage, coordinate, and resolve intricate problems through data-driven analysis Work closely with business partners and infrastructure teams to align on, define, and implement success measures for ongoing and new programs Create robust and clear reporting resources for ongoing monitoring of program health Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media Provide comprehensive daily analytics support to partner teams, develop resources to empower data access and self-service so your expertise can be used where it is most impactful Contribute in strategic analytical projects that provide relevant insights or promote operational change Perform ad hoc analyses of business performance trends to inform executive decisions and provide ad hoc reporting in Looker Analyze trends and data to predict future product demand and customer needs, ensuring optimal resource allocation and inventory management to support business growth and operational efficiency. Qualifications 3+ years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics Bachelor's degree required, with major in analytics, statistics, finance or data science field strongly preferred Advanced to expert level SQL proficiency and have familiarity with concepts beyond querying (schema and ETL design, and query optimization) Strong forecasting skills Experience with reporting and visualization platforms (e.g. Tableau, Looker) Work experience with Python Proven ability to lead data-driven cross-functional projects that depend on the contributions of others in a variety of disciplines Fluency with statistics techniques to structure analyses and provide insights (e.g. statistical tests, AB testing) Strong written and verbal communication skills and ability to build strong relationships and influence cross-functional teams Familiarity with scripting/programming for data mining and modeling is a plus Experience in applying data-backed heuristics to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more is a plus Block takes a market-based approach to pay, and pay may vary depending on your location. U.S locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $111,700 - $167,500 USD Zone B: $103,800 - $155,800 USD Zone C: $98,200 - $147,400 USD Zone D: $89,400 - $134,000 USD Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.