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Job Description

We are seeking a highly skilled and motivated Senior Data Analyst to join the Revenue Insights team within the Corporate Strategy & Operations organization at Procore. As a Senior Data Analyst, you will play a crucial role in driving the Revenue Insights data initiatives forward by providing comprehensive analysis, automating processes, producing forecasting models, and delivering executive reporting. You will collaborate closely with cross-functional teams to execute against our strategic priorities and ensure the successful delivery of key projects.

This position will report to the Sr Manager, Sales Insights. It will be based in one of Procore’s offices in the United States, or fully remote. We’re looking for someone to join us immediately. 

What you'll do:

• Develop and maintain data solutions to support revenue and operational initiatives.
• Build data foundation across Revenue Insight teams to standardize metrics, scale processes, expand reporting, and enable more actionable insights.
• Automate data and reports to improve data integrity, efficiency, accuracy, and reliability.  
• Produce and automate weekly sales forecasts for B2B SaaS sales teams.
• Be the subject matter expert on global forecasts and interfacing with revenue leaders.
• Collaborate with key stakeholders across departments to gather insights, align priorities, and build data solutions.

What we're looking for:

• Bachelor's degree in Analytics, Engineering, Economics, Finance, Business, or data related field, or commensurate experience.
• 5+ years of experience in analytics, data automation, data engineering, or operations. 
• Strong analytical skills with the ability to synthesize complex data into actionable insights.
• Strong communication with the ability to collaborate with diverse stakeholders and explain complex information in simple ways.
• Proven track record of delivering results in a fast-paced, dynamic environment.
• Proficiency in SQL, Python, or other data manipulation and creation tools are required. 
• Experience in B2B SaaS Sales data, forecasting, Tableau, and Salesforce a plus.

Qualifications

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Job Description

We are seeking a talented SQL Server and ETL Support Desk Developer to provide support and maintenance for our SQL Server and ETL systems. The successful candidate will have 1-2 years of experience in SQL Server support and maintenance and will be responsible for troubleshooting and maintaining existing SQL code. This position requires strong skills in creating and troubleshooting SQL queries and SSIS packages.

Responsibilities

· Provide support for SQL Server and ETL systems.

· Troubleshoot and maintain existing SQL code, queries, and stored procedures.

· Develop, test, and deploy ETL processes using SSIS.

· Monitor and troubleshoot data integration jobs.

· Work closely with development teams to identify and resolve issues.

· Provide timely resolution of support tickets and maintain accurate records of support activities.

· Collaborate with cross-functional teams to identify and resolve complex issues.

· Ensure compliance with security, privacy, and regulatory requirements.

· Provide suggestions for process improvements to increase system performance and reliability.

Qualifications

· Bachelor's degree in Computer Science or a related field, or equivalent experience.

· 1-2 years of experience in SQL Server support and maintenance.

· Ability to create and troubleshoot SQL queries and stored procedures.

· Proficiency in SSIS and experience with ETL processes.

· Strong problem-solving skills and attention to detail.

· Ability to work independently and in a team environment.

· Strong communication and collaboration skills.

· Ability to prioritize and manage multiple tasks effectively.

Nice-to-Have

· Experience with Azure or other cloud technologies, including ADF

· Understanding of programming languages such as C#, Python, or PowerShell.

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Job Description

The project is situated within the Telekom IT sector of our organization. Within the context of this newly established international team, your primary role will encompass the quality assurance of our BSS systems. Alongside maintaining our current system landscape, our operation also involves the transformation of components to incorporate a more decoupled, micro-service based architecture. In terms of quality assurance, our objective is to increasingly implement test automation solutions.

Qualifications

• At least 3 years of experience in test automation
• Strong knowledge of testing techniques and methodologies
• Strong experience in test planning and estimation
• Knowledge regarding the following technologies: SQL, XML, Java
• Test Automation using Java (possible test automation tools Selenium (Selenide), Playwright)
• Experience using version control systems (Git)
• Experience in agile methods (Scrum/Kanban)
• Experience working in Scaled Agile Framework® (SAFe®)
• Experience with Jira Software
• Good English language skills
• Good German language skills - advantage

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Job Description

The Industry Relations & Operations (IRO) team manages all the partnerships and operations involved in the payments supply chain for our global footprint. From developing strategy and infrastructure to working with external partners, we find the best ways to move money across different networks and countries in a way that is cost-effective, available, scalable, secure and forward-looking. As the Partner Operations Manager within IRO, you will help adapt and evolve our relationships with card networks and acquirers. Working alongside product, compliance, engineering and other teams, your role will be to support IRO’s agenda and help Square grow and adapt in the dynamic landscape of the industry in which we operate. You will manage payment operations in the U.S. and support key activities, initiatives and priorities as we grow the business. You will work cross-functionally with teams to help resolve technical payment issues, monitor payments activity and performance, ensure proper setup of strategic sellers and provide operational support. 

You will:

• Support day to day acquiring operations in the US and current partnerships through detailed and proactive account management
• Conduct research/investigation into specific payment issues and collaborate cross-functionally with internal stakeholders to resolve operational and payment issues Provide operational support for marketing activities 
• Translate technical changes to internal stakeholders to ensure compliance with upcoming network release requirements 
• Support the wider payments team to operationalize and solidify strategic partnerships and vendor relationships to put in place new products and infrastructure that will future proof Square's business and ensure resiliency
• Manage challenging situations with partners to successful resolution while knowing when it is appropriate to escalate a situation 
• Manage our analysis and monitoring tools to ensure that we drive operational excellence in everything that we do 
• Support our external program management efforts to drive analysis and problem solve with card networks, banks, and industry partners to maximize benefits to Square and our customers while driving down inefficiencies and cost

Qualifications

• 4+ years of experience and solid understanding of the payment industry and its current evolution both domestically and abroad. Prior experience at a global payments network or acquirer or issuer strongly preferred.
• Ability to work cross functionally and interact at all levels with diverse roles including engineers, business partners and executive leadership to achieve strategic results
• Familiarity with data pertaining to merchant, acquirers, networks and gateways
• Clear written and verbal communication and presentation skills
• The successful candidate will have a demonstrated ability to deal with ambiguity; think strategically and analytically about business, product, and technical challenges; as well as earn trust with and influence others. A strong sense of ownership, drive to have an impact, and entrepreneurial spirit are musts
• Dexterity and appetite to develop your skill set across roles such as relationship manager, problem solver, troubleshooter, and analytics manager, interrogating new payment network rules, pricing and billing changes, contract changes, interchange updates and account managers at our bank and network partners

Even better:

• Deep analytical skills - ability to query and analyze data sets to support strategy or resolve issues (e.g. SQL skills)
• Proven track record of success managing programs and projects with cross functional partners across markets 
• You understand network rules, interchange, the PSP business model, connectivity, data exchange and key performance indicators related to payment processing. You have a high level understanding of technical payment specifications (such as ISO 8583) and the ability to translate business needs into technical requirements

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Job Description

You will join the small but tight-knit TIDAL Data Science & Analytics team, and will report into the Head of Data Science & Analytics. As a member of the team, you will help shape the future of our streaming and artist products. You will use your expertise in product analytics, experimentation and statistical modeling to empower data-driven decision-making in the full lifecycle of this

product development. You will collaborate closely with a wide array of cross-functional partners across Product, Engineering, Design and Data Engineering to drive impact for our users and our business.

This role is remote-friendly and open to candidates based anywhere in the United States Eastern Time Zone. 

You Will

• Work with cross-functional partners to translate business and product questions into analysis questions 

• Provide actionable data-driven recommendations to inform strategic decisions 

• Partner with engineering to ensure accurate and reliable logging for new product and features

• Develop deep domain expertise and own measurement strategy for product and develop KPIs to track product success 

• Effectively communicate analysis and recommendations in verbal, visual and written form

• Lead the design, analysis, and interpretation of experiments that shape decision-making

• Develop and maintain curated analytics-friendly data sets using ETL 

• Build effective and reliable self-serve dashboards

Qualifications

You Have

• 4+ years of data science experience

• A BS/BA in Math, Statistics, Computer Science, or a related technical field 

• Ability to translate ambiguous, unstructured problems into applicable data-driven analyzes 

• Fluency with data, analytics and visualization technologies (We use SQL, Tableau, Looker, and

• Python)

• Exceptional written and verbal communication skills with the ability to explain technical data to a variety of stakeholders across the company

• Experience applying both statistical and machine-learning techniques to solve

practical product problems such as predicting churn,  clustering user archetypes

• Experience with experimental design and solid understanding of statistics

• Experience building relationships to influence with product partners with data

• Creativity in developing new processes, analyses, and recommendations

• Familiarity with data warehouse design and best practices

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Job Description

The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole. The goal of the DS team is to derive valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day. 

We’re hiring a Data Science Lead to join the Commerce team, supporting our programmatic ads business. We have developed a robust onsite advertising business on Afterpay and now we’re looking to build the next generation of our advertising business that will connect our merchants and customers more deeply off-platform. 

We’re seeking an exceptional Data Scientist to help define the strategy for this business and lay the foundation for transformative, highly complex, “0 to 1” features. You will play a critical role in accelerating Cash App’s growth by focusing on developing a strategic thought partnership with our teams in Product and Sales, and leverage data to enable us to achieve our roadmap goals, make effective spend decisions across marketing channels and understand the impact of incentives on Cash App users. 

You will:

• Build models to optimize our programmatic marketing efforts to ensure our spend has the best possible ROI
• Design and analyze experiments to evaluate the impact of marketing campaigns we launch
• Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
• Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
• Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
• Build and share data visualizations and self-serve dashboards for your partners
• Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

• A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
• Experience with scripting and data analysis programming languages, such as Python or R
• Worked extensively with Causal Inference techniques and off platform data
• A knack for turning ambiguous problems into clear deliverables and actionable insights 
• Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

Technologies we use and teach:

• SQL, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefect

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Job Description

The Staff Data Analyst will join the analytics team - Cash App Compliance Analytics - chartered to transform us into a data-driven Compliance organization. You will help deliver applicable analytics to leaders throughout the Cash App business. Focused on quantifying compliance risks, forecasting operational demand, and driving efficiency, you will allow Cash App to change the financial services industry. Reporting into the Analytics Manager of Cash App Compliance, you will be fully remote and partner with Product, Finance, Data Science, and Engineering.

You Will:

• Build databases, design dashboards, and define metrics to support scale, analyze risks, and provide easily understood reports for operational teams and senior management
• Report on compliance operational demands, costs, forecasts, and efficiency levers to both Compliance leadership and Finance & Strategy partners. 
• Uncover relevant insights on topics affecting compliance, including: new risks, compliance operating effectiveness, risk tolerance, product launches and usage, important performance and risk indicators
• Harness raw data to help partners understand the impact of new regulation, policies, or environmental changes to our compliance program and the Cash App platform
• Collaborate with partners from engineering to customer experience to inform strategic builds of essential compliance program elements
• Communicate insights to important partners and influence teams to take action based on your recommendations

Qualifications

You Have:

• 7+ years of related experience
• Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
• Experience in ETL development
• Experience using data to solve complex, ambiguous problems
• Vision to define problems and manage projects in a fast-paced, evolving organization
• Experience bringing data to life for any audience through written and verbal communication and data visualization.
• Experience delivering quality in reports and data analysis

Even Better (but not required):

• Forecasting experience
• Experience in the FinTech industry or with financial crimes compliance systems, technologies and processes.
• Experience with automation using Python, R or Prefect

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Job Description

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

Key responsibilities include: 

• Manage the financial planning process for the US payments processing business, including understanding key internal and external drivers and business performance trends to inform decision driving critical investments into Square’s business. Critical to success in this role will be benchmarking Square’s business performance relative to external competitors and macroeconomic indices. 

• Apply subject matter expertise of Square’s risk vectors to 1) forecast risk loss, 2) create analyses that facilitate clear and timely decision making, 3) surface strategic insights for business partners, and 4) help inform Square’s investment capacity across a range of functions.

• Partner with our Industry Relations team, driving deal negotiation strategy and analysis with all external partners.

• Create analyses that allow leaders to make clear decisions through strategic, highly visible projects to Square and Block senior leadership and Board of Directors.

• Collaborate across Marketing, Data Science, and Business Intelligence (among other teams) to identify and understand complex relationships between key drivers of our business

• Combine data from SQL databases and work with multiple partners to understand complex relationships between the different parts of our business.

Qualifications

You Have:

• A minimum of 4 years of relevant experience in investment banking and/or strategy/operations functions

• Excellent proficiency in financial modeling and Excel. There will be a case study. 

• Excellent verbal and written communication skills

• Exceptional judgment and maturity, including an ability to execute independently and work with team members of all levels

• Commitment to Square's purpose of Economic Empowerment

• Experience with SQL/comfort working with large datasets

• Experience with payments industry a plus

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