This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis.

Responsibilities:

• Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators.
• Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs.
• Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth.
• Write complex SQL queries and use Python to perform advanced data analysis.
• Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions.
• Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data.
• Communicate your findings and recommendations effectively to both technical and non-technical audiences.

Qualifications:

• Proven experience as a Data Analyst or in a similar role, with a focus on product analytics.
• 3-5 years of experience.
• Expert-level proficiency in SQL.
• Strong experience with data visualization tools, particularly Tableau.
• Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt.
• Advanced analytics, data science, AI/ML experience and techniques are a plus.
• A strong analytical mindset with the ability to think critically and solve complex problems.
• A proactive and curious mindset with a strong desire to learn and experiment with new technologies, especially in the realm of AI.
• Excellent communication and collaboration skills.

Added Advantage:

• Experience with other BI tools like Looker.
• Experience with statistical analysis and machine learning.
• Familiarity with product analytics platforms like Amplitude or Mixpanel

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We're building the largest hyperlocal marketplace the world has seen. Our marketplace is already flourishing in all 50 states and we're just getting started!

As a Senior Data Analyst, you are an independent driver and architect, entrusted with solving Neighbor's most ambitious, complex, and ambiguous problems. You will leverage advanced data analytics to not only execute the data strategy, but also anticipate the challenges that lie ahead. You will bridge the gap between executive vision and technical implementation, pioneering robust data models and pipelines while steering executive-level data strategy and fundamentally shaping the company's data-driven business decisions with your insights.

Primary Responsibilities

• Help build a world-class Data & Analytics team focused on data integrity, business intelligence, data-driven decisions, testing, accountability and research
• Lead the design and implementation of our data modeling layers (Data Lakes/Warehouses), ensuring a 'single source of truth' for a complex, two-sided marketplace
• Beyond SQL, you will build and maintain robust ETL/ELT pipelines and deploy predictive models to forecast and automate insights
• Mentor junior team members and empower non-technical stakeholders to make autonomous, data-informed decisions through world-class BI tooling
• Move beyond 'what happened' to 'what will happen.' Develop statistical frameworks to test hypotheses and measure the impact of new product features
• Act as the primary data partner for Product, Marketing, Sales, Engineering, Finance, and Customer Success leadership
• Become an expert on all aspects of Neighbor's product, user, marketing and other data

Qualifications

• Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 7 years working experience in data analytics
• 5+ years of prior experience as a Data Analyst
• 3+ years of experience solving complex, ambiguous problems independently and presenting results to stakeholders
• Experience with ETL such as data manipulation, organization and cleaning
• Experience modeling data lakes or data warehouses
• Experience with predictive modeling
• Advanced proficiency in reporting and visualization software
• Experience using mathematical, scientific and statistical techniques to analyze data
• Proven track record of using quantitative analysis to solve problems, and drive key business decisions

Additional Information

About Neighbor: Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search.

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As a remote-first, global organization, we are committed to building a team as diverse as the companies we serve. This role is based out of Mexico City, Mexico, and is a full-time hybrid position where it is required to come into our office in Roma Norte (2-3 days/week).

Job Responsibilities:

• Research, identify areas for improvement, and make recommendations to optimize business processes
• Work collaboratively, communicate findings, present insights as well as recommend actionable solutions to product owners, finance, GTM, and other cross-functional teams
• Own high-impact analyses that influence product, growth, and operational decisions
• Partner closely with leadership and functional leads to solve ambiguous business problems
• Write SQL and Python to dig into complex datasets and uncover what actually matters
• Build clean, intuitive Tableau dashboards people actually use
• Turn data into clear, actionable recommendations,not just slides and charts
• Communicate insights confidently to technical and non-technical stakeholders
• Help define metrics, KPIs, and how we measure success as a company

Requirements:

• 5+ years of experience in data analysis, with a preference working in financial services
• Experience with data visualization tools (e.g., Tableau, Excel, Power BI)
• Ability to demonstrate expertise in SQL and Python or R required
• Strong analytical and problem-solving skills
• Excellent business judgment and strategic thinking
• Strong communication skills
• Fluent in English, Jeeves is a global company and English is the language we use internally to communicate between regions
• Agile and able to pivot quickly with the changing environment
• Collaborative and team oriented
• Hands-on experience leading strategic analysis in AI-enabled environments, with the ability to independently apply AI and advanced analytics to frame problems, generate insights, and drive executive decisions.

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Research, identify areas for improvement, and make recommendations to optimize business processes.

Work collaboratively, communicate findings, present insights as well as recommend actionable solutions to product owners, finance, GTM, and other cross-functional teams.

Own high-impact analyses that influence product, growth, and operational decisions.

Partner closely with leadership and functional leads to solve ambiguous business problems.

Write SQL and Python to dig into complex datasets and uncover what actually matters.

Build clean, intuitive Tableau dashboards people actually use.

Turn data into clear, actionable recommendations,not just slides and charts.

Communicate insights confidently to technical and non-technical stakeholders.

Help define metrics, KPIs, and how we measure success as a company.

This role requires 5+ years of experience in data analysis, with a preference working in financial services. Experience with data visualization tools (e.g., Tableau, Excel, Power BI,) is also required.

XML job scraping automation by YubHub

As a remote-first, global organization, we are committed to building a team as diverse as the companies we serve. This role is based out of São Paulo, Brazil, and is a full-time position where it is required to come into our office at complexo JK Iguatemi (3 days/week).

Key responsibilities include:

• Research, identify areas for improvement, and make recommendations to optimize business processes
• Work collaboratively, communicate findings, present insights as well as recommend actionable solutions to product owners, finance, GTM, and other cross-functional teams
• Own high-impact analyses that influence product, growth, and operational decisions
• Partner closely with leadership and functional leads to solve ambiguous business problems
• Write SQL and Python to dig into complex datasets and uncover what actually matters
• Build clean, intuitive Tableau dashboards people actually use
• Turn data into clear, actionable recommendations,not just slides and charts
• Communicate insights confidently to technical and non-technical stakeholders
• Help define metrics, KPIs, and how we measure success as a company

Requirements include:

• 5+ years of experience in data analysis, with a preference working in financial services
• Experience with data visualization tools (e.g., Tableau, Excel, Power BI)
• Ability to demonstrate expertise in SQL and Python or R required
• Strong analytical and problem-solving skills
• Excellent business judgment and strategic thinking
• Strong communication skills
• Fluent in English, Jeeves is a global company and English is the language we use internally to communicate between regions
• Agile and able to pivot quickly with the changing environment
• Collaborative and team oriented
• Hands-on experience leading strategic analysis in AI-enabled environments, with the ability to independently apply AI and advanced analytics to frame problems, generate insights, and drive executive decisions.

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Job Responsibilities

• Conduct data analysis to support payment analysis, marketing analysis, product performance, customer behavior analysis, and business operations.
• Build and maintain recurring and ad-hoc dashboards/reports using business intelligence tools.
• Translate business questions into analytical tasks and deliver clear, data-driven answers and recommendations.
• Support root cause investigations for anomalies and contribute to continuous improvement of reporting accuracy.
• Collaborate with data engineers, product managers, and other teams to ensure smooth data pipeline and reliable reporting.
• Support the integration of AI tools (e.g., LLMs) into reporting and analysis workflows under guidance from senior team members.
• Document metrics definitions, dashboard logic, and report processes for consistency and transparency.

Pre-Requisites

• Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
• 3+ years of experience in data analysis or business intelligence roles.
• Proficiency in SQL and experience with one or more data analysis tools (Python, R, or Excel).
• Hands-on experience with data visualization tools like Tableau, Power BI, or QuickSight.
• Strong analytical thinking, attention to detail, and ability to manage multiple tasks.
• Clear communication skills with the ability to work across business and technical teams.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
• Access to cutting-edge technology and tools
• Flexible work arrangements and work-life balance

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What you'll do

• Analyse player and product data to uncover patterns and recommend opportunities to improve performance, stability, automation and test coverage and bug metrics
• Build dashboards, reports, and visualisations that help stakeholders make better, faster decisions

What you need

• 3+ years of experience in data analysis or applied analytics, in gaming, mobile apps, or other digital products
• Proficiency in SQL for querying large datasets; experience with analysis and modelling in Python or R

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What you'll do

As a Senior Data Analyst, you will be responsible for assembling various game development and QA data from multiple sources, conducting analysis, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences.

• Build and share analytics and BI dashboards and reports, ensuring comprehensive user documentation is provided.
• Maintain high-quality and reliable BI dashboards and connected data sources to support confident decision-making across the team.

What you need

• Minimum 5 years of experience in data analytics roles, including data mining, data wrangling, shaping, visualization, and forecasting.
• Advanced skills in data visualization for charts and reports.

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